Abstract
Introduction:
The link between lifestyles and Greenhouse Gas (GHG) emissions has prioritized climate mitigation strategies of cities worldwide. As cities have increasingly generated GHG emissions by their industrial and transportation activities, their role in climate mitigation has gained prominence. Cities' climate mitigation policies to reduce the GHG intensity of their residents' daily lives are one of their significant efforts to tackle climate change. Lighthouse Cities (LCs), in particular, have emerged as remarkable actors in promoting lifestyle changes for their residents.
Methods:
This study examines climate mitigation strategies of LCs of Climate CAMPAIGNers project, including Baku, Vilnius, Lahti, Izmir, Trujillo, Athens, Linz, Milan, Cape Town, Dublin, and Skopelos, addressing lifestyle changes by conducting an expert survey in 11 LCs involving 89 respondents. The findings of the expert survey are comparatively analyzed across 11 LCs.
Results:
The results show that experts form Lighthouse Cities identify increasing awareness and information provision as a significant component of climate mitigation policies. Concerning lifestyle changes, strategies toward energy efficiency and sustainable mobility are highlighted as the primary areas to be prioritized.
Discussion:
This study enhances the understanding of cities' capacity to reduce their residents' GHG emissions. The findings can be utilized to identify and tailor policies for supporting the Lighthouse Cities in their climate change mitigation efforts and provide pointers for selecting the lifestyle changes that can be promoted and prioritized in Lighthouse Cities.
1 Introduction
The nexus between lifestyles and GHG emissions has been increasingly part of the policy agendas of cities worldwide. As climate change has become a global emergency, individual lifestyle changes have been prioritized in addition to local and national policies. Changing habits, behaviors, and consumption patterns can reduce environmental impact and emissions across various sectors and lifestyles. To reach the goals of a “net-zero future” and the Paris Agreement, the United Nations (UN) has initiated the “ActNow” campaign, which seeks to guarantee individual lifestyle changes toward reducing GHG emissions (United Nations, 2023a).
Cities stand out as essential actors taking climate action to promote lifestyle changes for their residents against the negative consequences of climate change. They are significant because cities are responsible for more than 70% of CO2 emissions in the world with their industries and transportation networks (Dasgupta et al., 2022). They also have resources and prosperity to fight climate change in addition to their “pro-activity” and “network-like” strategies (Rosenzweig et al., 2010; Eisenack and Roggero, 2022). Furthermore, their populations, infrastructure, and economies are exposed to several outputs of climate change, such as a rise in “sea level” and intensive “droughts” (Rosenzweig et al., 2010).
Various cities worldwide have noticed the adverse consequences of climate change and have sought to take climate action to contribute to their residents' lifestyle changes. Climate change mitigation is one of the significant actions that cities undertake. Climate change mitigation involves all the strategies to minimize GHG emissions (United Nations, 2023b). Promoting their residents' lifestyle changes is one of city authorities' most prominent climate actions in the face of the global climate crisis (Quam et al., 2017; Sun and Feng, 2023; Zhang and Zheng, 2023).
In this context, Lighthouse City (LC) projects have been increasingly initiated by the European Union (EU) to support cities' ability to “develop and test integrated innovative solutions at district scale” (European Commission, 2016). Several LCs under the Horizon 2020 programs have been chosen for their efforts to pursue energy efficiency strategies and the Sustainable Energy Action Plan (SEAP). Hence, LCs are crucial actors in encouraging their citizens to “engage in climate action” (Climate Campaigners, 2023).
Within this framework, this study aims to examine the policy levers that can influence daily lifestyles in LCs of the Climate CAMPAIGNers project: Baku, Vilnius, Lahti, Izmir, Trujillo, Athens, Linz, Milan, Cape Town, Dublin, and Skopelos. In order to answer the research question “How can climate change mitigation policies that address lifestyle transformation in LCs be operationalised?”, input from the LCs is obtained through the expert survey developed by the academic partners and completed by experts from the relevant LCs.
The manuscript is organized as follows. The next section on methodology discusses the comprehensive state-of-the-art literature review and the expert survey. A comprehensive, state-of-the-art literature review demonstrates how cities' climate mitigation strategies and residents' lifestyle changes are analyzed in earlier research. The third section provides the significant outputs of the expert survey. Then, the discussion section presents a comparative analysis of survey findings across different LCs regarding lifestyle changes and climate mitigation. Lastly, the motivators and barriers to feasible climate actions of LCs are discussed in the Conclusion section.
2 Methodology and research design
This study relies on a comprehensive, state-of-the-art literature review and an expert survey to examine the policy levers influencing lifestyle changes and climate mitigation strategies in LCs. Overall, the research framework of this study consists of nine subsequent steps, including (1) Preparation of the template and guidelines for a state-of-the-art literature review, (2) conducting the state-of-the-art literature review, (3) analysis of the results of the literature review, (4) design of the expert survey, (5) fine-tuning, pre-test, and pilot of the expert survey, (6) selecting the sample for expert survey using purposive sampling, (7) conducting the expert survey, (8) analysis of the results of expert survey, and (9) synthesis of the results of the state-of-the-art literature review and expert survey.
This study conducted a comprehensive, state-of-the-art literature review using a predefined template to maintain methodological consistency. The authors designed the template to ensure focused information collection directly relevant to this study's objectives and research question, encompassing parameters investigated, research methodology, and findings. Accordingly, the literature review template was designed in two sections. The first section, state-of-the-art, provides a comprehensive examination of existing studies and their understanding of the terms “climate change,” “climate mitigation,” “Lighthouse Cities,” “climate-harming lifestyles,” “climate-friendly lifestyles,” and “energy behavior.” The second part of the literature review concentrates on the relevance of these studies to the conceptualization of “climate change,” “climate mitigation,” and “lifestyles,” ensuring an in-depth understanding of these concepts.
The findings from the literature review are used to design the expert survey, which aims to collect information from the experts in the Lighthouse Cities regarding their perspectives on past, current, and potential climate mitigation and adaptation strategies. This manuscript utilizes findings from the expert survey regarding the climate change mitigation strategies. The expert survey methodology has been frequently used in the literature to understand the expert attitudes about a particular issue in local and national affairs (Groholt and Higley, 1972; Saiegh, 2009; Kertzer and Renshon, 2022). It is an effective method to analyze the perspectives of individuals with extensive knowledge, authority, or experience about a specific issue. For this survey, respondents were selected through purposeful sampling, targeting experts with extensive experience planning and implementing climate mitigation policies within their respective LCs. This method was utilized to ensure that the selected participants had professional knowledge about climate mitigation strategies, lifestyle changes, and related experience at the local level. The final sample included 89 experts form 11 LCs involving 15 individuals from Baku (Azerbaijan), 12 from Vilnius (Lithuania), 11 from Lahti (Finland), 10 each from Izmir (Türkiye) and Trujillo (Peru), 9 from Athens (Greece), 8 from Linz (Austria), 5 from Milan (Italy), and 3 each from Cape Town (South Africa), Dublin (Ireland), and Skopelos (Greece).
All participants have professional knowledge about climate mitigation strategies and lifestyle changes and related experience at the local level. Their LCs are situated within the countries of Climate CAMPAIGNers project partners and cover a diverse geographical area that includes both southern and northern regions, the European Union (EU) and non-EU members. The participants represent a spectrum of relevant roles, including mid-level and senior municipal officers, faculty members, researchers, advisors, private company representatives, professional chamber members, climate action planners, and NGO members. The largest category involves mid-level officers, with 29 respondents. This category is comprised of officers in “transportation,” “environmental/sustainability,” “construction,” “finance,” and other duties in cities. The second prominent group includes faculty members and researchers, with 21 respondents. These two professions are followed by representatives of private companies (n = 14), advisors (n = 13), members of professional chambers (n = 6), members of climate action planning (n = 6), senior officers (n = 3), representatives of NGOs (n = 2), executives (n = 1) and miscellaneous experts who have relevant expertise (n = 5).
The survey was designed to capture the in-depth insights and perspectives of experts (Patton, 2002, p. 273). Accordingly, the survey is designed in three parts. The first part involves questions concerning LCs' climate change mitigation strategies, the second part seeks to assess LCs' efforts toward lifestyle changes, and the third part focuses on the climate adaptation strategies, from the perspective of each expert. This manuscript is based on the results from the first two parts of the survey.
Concerning the first part of the survey, the literature review revealed five main themes regarding policy actions for climate mitigation: “changes in lifestyles,” “education and enabling,” “financing and provision,” “information and communication technologies (ICT) and digitalization,” “municipal self-governing,” and “regulation.” To assess whether these themes align with experts' concerns in LCs, the first survey question asked respondents to select the top three climate mitigation policies and tools their LCs prioritize. The subsequent questions in the first part of the survey asked respondents about the primary policy actions implemented in the last 5–10 years and are currently being implemented and/or need to be implemented in the next 5–10 years to deal with climate mitigation in the respective relevant cities.
The second part of the expert survey concerns the LCs' efforts toward lifestyle changes. To this end, the participants were first asked to select the top five lifestyle changes for climate policies that the experts find essential for their LCs. As with the policy action counterparts, the experts were also asked in the second part about the lifestyle choices that last 5–10 years and are currently being discussed and/or need to be discussed in the next 5–10 years to improve the LCs' climate policies. The final set of survey questions aimed to identify experts' perspectives regarding motivators and barriers to lifestyle changes in the context of climate policymaking.
The survey was constructed as a questionnaire, including inquiries on expert information, climate mitigation policy actions, and the LCs' efforts toward lifestyle changes. The survey was distributed to selected respondents through Google Forms in October 2021. The Climate CAMPAIGNers project partners reviewed, pre-tested, and refined the survey before its distribution to experts from LCs.
3 Literature review
The adverse impacts of climate change on people's lives have been reflected in the increased number of studies in the literature on climate-friendly lifestyles and behavior changes (Mills and Schleich, 2012; Von Borgstede et al., 2013; Creutzig et al., 2018; Umit et al., 2019; Niamir et al., 2020). These studies in the literature concerning policy and individual lifestyle actions that decrease GHG emissions for climate mitigation have used both quantitative and qualitative methodological approaches (Bassett and Shandas, 2010; Geneletti and Zardo, 2016; Eisenack and Roggero, 2022; Kilkis, 2022).
In addition to studies focusing on individuals' lifestyle changes, there have been numerous studies on the climate actions of local, regional, and national authorities (Rabe, 2004; Granberg and Elander, 2007; Lutsey and Sperling, 2008; Hoppe et al., 2014; Tvinnereim et al., 2017; Salvia et al., 2021). Hsu et al. (2020) demonstrated that city-level climate mitigation efforts are shaped by “plan-level,” “city-level,” and “country-level” features. Boehnke et al. (2019) found that “good practices” regarding climate mitigation in thirteen municipalities in the Netherlands are derived from the “facilitator” role of municipalities in promoting climate-friendly actions of various actors within their borders.
Cities' climate mitigation strategies are studied with a particular focus on “transport,” “waste management,” and “urban form” (Bulkeley, 2010; Erickson and Tempest, 2015; Creutzig et al., 2016; Lamb et al., 2018). For instance, Lutsey and Sperling (2008) found that many US states have sought to adopt climate mitigation policies on “residential energy usage” and “forestry sequestration.” In this sense, local governments' mitigation strategies were based on using spaces, transportation tools, dwellings, and waste management strategies (Lutsey and Sperling, 2008). Salvia et al. (2021) examined the different scales of local governments' climate mitigation plans and their carbon neutrality regarding the relevant city's structure and size, “membership of climate networks,” and regional position.
Hence, policy actions for climate mitigation are derived from the literature review, as demonstrated in Table 1.
Table 1
| Theme | Policy actions | References |
|---|---|---|
| Sustainable transportation | Low-emission vehicles | Cruickshank and Kendall, 2012; Chakroborty, 2017; Kiba-Janiak and Witkowski, 2019; Miltiadou et al., 2019; Watabe et al., 2019 |
| Sustainable urban mobility | ||
| Waste management | Sustainable waste management | Pereira et al., 2000; Mwanza and Mbohwa, 2017; Lagman-Bautista, 2020; Lee et al., 2020; Zhang H. et al., 2022; Zhang Z. et al., 2022; Xu et al., 2023 |
| Reducing pollution | ||
| Recycling | ||
| Reuse | ||
| City Planning | Degrowth in the city's climate planning | Kristiánová and Stepankova, 2015; Gorelick and Walmsley, 2020; Kutty et al., 2020; Kiba-Janiak et al., 2021; Krähmer, 2021; Siehr et al., 2022; Khmara and Kronenberg, 2023 |
| Administrative and organizational structures | ||
| Climate action plans | ||
| Subsidy schemes | ||
| Grant programs | ||
| Investments | ||
| Policy review | ||
| Stakeholder involvement | ||
| Green and blue infrastructure strategy | ||
| Water and air quality management | Improving air quality | Borrego et al., 2006; Liu and Jensen, 2018; Herslund and Mguni, 2019; Jonek-Kowalska, 2023 |
| Enhancing water management strategies | ||
| Energy-efficient technologies | Low-carbon technologies | Amado et al., 2016; Song et al., 2017; Lu et al., 2021 |
| Zero-carbon technologies | ||
| Energy-efficient technologies | ||
| Environmental protection | Increasing the level of protection, restoration, and regulation of the natural environment and ecosystems | Yang et al., 2016; Horne et al., 2018; Nwakaire et al., 2020; Li et al., 2022 |
| Addressing the urban heat island effect | ||
| Preparedness for extreme weather events | ||
| Energy consumption | Reducing energy consumption from conventional sources | Sirakaya et al., 2018; Debelaya and Morozova, 2020; Shu et al., 2022; Zhang H. et al., 2022; Zhang Z. et al., 2022 |
| Increasing renewables | ||
| Awareness | Raising public awareness | Wang et al., 2017; Rahimi, 2020; Zust and Jost, 2022 |
Policy actions for climate mitigation derived from the literature review.
Regarding individuals' lifestyle changes, several studies have utilized surveys to reveal participants' climate actions and perspectives regarding “transportation,” “energy transition,” “attribution of climate change,” “emission reduction,” “lifestyle/consumption,” “diet change,” “purchase decisions” and “waste management” (Barr and Gilg, 2006; De Boer et al., 2016; Tvinnereim et al., 2017; Belaïd and Joumni, 2020; Gjerstad and Flottum, 2021). For instance, Niamir et al. (2020) examined households' practices regarding their energy investments in smart energy systems, energy-saving habits, and shifting to green(er) electricity sources. They found that financial factors, as well as social and personal values, are significant elements. Furthermore, educational level and residences' structural conditions are crucial for climate-friendly lifestyle behaviors (Niamir et al., 2020).
Accordingly, lifestyle changes to support climate action are summarized in Table 2.
Table 2
| Theme | Lifestyle changes | References |
|---|---|---|
| Sustainable transportation | Public transport | Li et al., 2015; Miller et al., 2016; Rajesh et al., 2019; Aguiléra and Pigalle, 2021; Turoń, 2023; Valentini et al., 2023 |
| Carpooling | ||
| Carsharing | ||
| Eco-driving | ||
| E-mobility | ||
| Walking | ||
| Cycling | ||
| Avoiding short flights | ||
| Reducing flights for business | ||
| Waste management | Recycling and composting | Khan et al., 2005; Fu and Liu, 2017; Lee et al., 2020; Kountouris, 2022; Yadav et al., 2022; Biresselioglu et al., 2023 |
| Food waste reduction | ||
| Disposing less and reusing more | ||
| Recycling water | ||
| Reclaiming and reusing building materials | ||
| Energy-efficient technologies | Smart meter deployment | Nair et al., 2012; Mills and Schleich, 2014; Bularca et al., 2018; Fitriaty et al., 2018; Jnat et al., 2020; Perić et al., 2022 |
| PV deployment | ||
| Switching to an energy supplier offering electricity from renewable sources | ||
| House insulation | ||
| House renovation | ||
| Switching to led lighting | ||
| Using double or triple-glazed windows | ||
| Efficient use of home appliances and whitegoods | ||
| Purchasing energy-efficient appliances and white goods | ||
| Energy saving and sustainable consumption | Reducing heating and cooling | Simanaviciene et al., 2013; Trotta, 2018; Zhang, 2019; Shrestha et al., 2021; Xu et al., 2021 |
| Washing laundry and dishes at lower temperatures | ||
| Reducing clothing purchases | ||
| Reducing printing | ||
| Using less water in daily life | ||
| Dietary habits | Green diet | Bryngelsson et al., 2017; Philippidis et al., 2021; Biresselioglu et al., 2023 |
| Working environment | Teleworking | Hook et al., 2020; O'Brien and Aliabadi, 2020; Noussan and Jarre, 2021 |
Lifestyle changes supporting climate mitigation derived from the literature review.
Concerning the motivators and barriers to climate mitigation actions of cities, various studies demonstrate a positive relationship between people's income level and climate-friendly energy investment decisions (Sardianou and Genoudi, 2013; Ameli and Brandt, 2015; Umit et al., 2019). Furthermore, local and national governments' incentives are found to be significant motivations for lifestyle changes (Niamir et al., 2020). Building characteristics of houses, household members' socioeconomic features, “environmental concerns,” and willingness for energy conservation and “waste management” are revealed as crucial reasons for individuals' climate actions (Belaïd and Joumni, 2020).
Even though municipalities have a significant role in increasing the motivation of citizens regarding climate-friendly and sustainable actions (Glaas et al., 2020), there are limits to their capabilities and impacts. Hence, it is argued that municipalities should cooperate with the business world more ambitiously and systematically (Neij and Heiskanen, 2021) and improve their climate actions with technological developments (Lassiter and Leonard, 2022).
The motivators concerning climate actions are demonstrated in Table 3.
Table 3
| Lifestyle change motivators | References |
|---|---|
| Information and education | Alexandru and Jitaru, 2007; Fischer, 2008; Bertoldi et al., 2013a,b; Shen et al., 2021; Perret et al., 2022 |
| Goal setting and feedback | |
| Persuasion, incentives | |
| Modeling and exemplifying | |
| Enablement | |
| Encouraging | |
| Engagement | |
| Coercion | Rosenow, 2012; Bertoldi et al., 2013a,b; Moser, 2013 |
| Restriction |
Lifestyle change motivators derived from the literature review.
Another line of researchers has considered the essential role of cities in climate mitigation, emphasizing the fact that they can encounter difficulties due to the problematical division of responsibility among local, national, and international authorities, financial reasons, their (in)ability to manage, and lack of certainties in institutional structure (Bulkeley and Betsill, 2005; Monni and Raes, 2008; Sharp et al., 2011; Moss et al., 2015; Webb et al., 2016; Harker et al., 2017; Neij and Heiskanen, 2021). Moreover, Rickards et al. (2014) found that senior decision-makers must deal with their “local” occupational conditions and short-term circumstances, such as prestige, ties with rivals, and economic status, which can hinder their climate mitigation activities. In this regard, it is found that municipalities' climate actions reflect an intention-behavior gap since climate strategies are likely to be unchanged in various cities (Bulkeley, 2015; Van der Heijden, 2019).
The barriers concerning climate actions, as derived from the literature review, are shown in Table 4. The identified motivators and barriers are utilized in the survey design.
Table 4
| Type of barrier | Lifestyle change barrier | References |
|---|---|---|
| Internal barriers | Difficulty with changing existing habits | Throne-Holst et al., 2008; Zhu and Geng, 2013; Le-Anh et al., 2023; López-Cózar-Navarro et al., 2023 |
| Personal unwillingness to change | ||
| Unwillingness to move from rural areas to urban ones | ||
| Unwillingness to move to smaller homes | ||
| Unwillingness to build a new and more sustainable home | ||
| Pessimism about the future | ||
| Insufficient knowledge to overcome mitigation inaction | ||
| Too much information to make meaningful decisions | ||
| Time needed to adapt to changes | ||
| External barriers | High perceived cost of climate-beneficial actions and carbon-neutral actions | Throne-Holst et al., 2008; Wang et al., 2008; Al-Hinti and Al-Sallami, 2017; Kazemi and Kazemi, 2022 |
| Cost of required investments for energy efficiency upgrades |
Identified motivators and barriers utilized in the survey design.
4 Analysis of results
The survey is designed in two parts. The first part involves questions concerning LCs' climate change mitigation strategies, and the second part seeks to assess LCs' efforts toward lifestyle changes from the perspective of each expert.
4.1 Policy tools for climate mitigation
When asked to select the top three climate mitigation policies and tools their LCs prioritize, 48 of the 70 participants identified “education and enabling” as one of the top prioritized climate mitigation policies. The policy action selected by the second highest number of participants (20) as one of the three top climate mitigation policies was “regulation.”
“ICT and digitalization” emerged as the least prioritized policy tool for their respective LCs, with only two participants (both from Vilnius) selecting digital policies among their LC's top climate mitigation strategies. None of the participants from Izmir, Dublin, or Lahti considered ICT and digitalization to be top priorities for climate mitigation. This finding is interesting as previous studies have emphasized the critical role of green technologies in contributing to climate mitigation strategies (Balogun et al., 2020).
Regarding the primary policy actions implemented in the last 5–10 years and are currently being implemented and/or need to be implemented in the next 5–10 years to deal with climate mitigation in the respective relevant cities, the responses of the experts revealed that “reducing pollution” was the most favored policy action across all 11 LCs during the past 5–10 years, with a 42% preference rate.
For the timeline of the last 5–10 years, the policy actions “raising public awareness” (40%), “facilitating more sustainable waste management” (34%), “improving air quality” (33%), and “reviewing and updating of existing local policies, regulations, and guidelines” (32%) were other popular responses among participants concerning climate mitigation strategies.
Regarding current policies, participants identified “public awareness” as the most prioritized policy action/tool, with a response rate of 63 %. Looking ahead to the next 5–10 years, 61% of experts stated that their LCs would prioritize “installing low and zero carbon and energy-efficient technologies.”
Table 5 summarizes the perspectives on the highest-priority and lowest-priority policy actions for climate mitigation in the LCs.
Table 5
| Time frame | Policy actions for climate action prioritized by the highest number of LCs | Policy actions for climate action prioritized by the lowest number of LCs |
|---|---|---|
| Past | Reducing pollution | Incorporating degrowth in the LC's climate planning |
| Raising public awareness | Addressing the urban heat island effect | |
| Improving air quality | Increasing preparedness for extreme weather events | |
| Facilitating more sustainable waste management | Developing green and blue infrastructure strategy | |
| Reviewing and updating existing local policies, regulations, and guidelines | Encouraging reuse of materials | |
| Current | Raising public awareness | Incorporating degrowth in the LC's climate planning |
| Reducing energy consumption from conventional sources | Addressing the urban heat island effect | |
| Engaging key internal and external partners and stakeholders | Developing new subsidy schemes, grant programs, and investments | |
| Increasing recycling rates | Increasing preparedness for extreme weather events | |
| Developing more sustainable mobility | Installing low and zero-carbon and energy-efficient technologies | |
| Future | Installing low and zero-carbon and energy-efficient technologies | Reducing pollution |
| Reducing energy consumption from conventional sources | Developing more sustainable mobility | |
| Developing new subsidy schemes, grant programs, and investments | Facilitating more sustainable waste management | |
| Encouraging reuse of materials | Engaging key internal and external partners and stakeholders | |
| Increasing preparedness for extreme weather events | Incorporating degrowth in the LC's climate planning |
Policy actions prioritized by the highest and the lowest number of experts.
4.2 Lifestyle changes for climate mitigation
Regarding the LCs' efforts toward lifestyle changes, “sustainable transportation” was selected as the top lifestyle change for climate policies that the experts find essential for their LCs. Sustainable transportation involves changing habits, such as decreasing car use and increasing energy-efficient vehicles (Steg and Gifford, 2005). Energy efficiency was the second lifestyle change selected by the experts as the most vital to address for their LCs.
Concerning the lifestyle choices that were discussed in the last 5–10 years and are currently being discussed and/or need to be discussed in the next 5–10 years to improve the LCs' climate policies, most experts (59%) opted for “waste” as the most important theme for lifestyle choices for the past 5–10 years in their LCs.
For the current era, “switching to electric cars and vehicles” is the most cited current issue in 11 LCs, with around 75% of respondents selecting it as a top priority. “Switching to electric cars and vehicles” was also the lifestyle choice to be prioritized in the coming 5–10 years by the second highest share (41%) of respondents for their LCs. Concerning the future outlook, the highest share of respondents (51%) selected “reclaiming and reusing building material” among the top priorities as the lifestyle choices for climate mitigation in their LCs.
The following Table 6, reflects the results from the survey concerning the top priorities in terms of lifestyle choices for climate mitigation in the LCs of the respondents.
Table 6
| Time frame | Lifestyle changes prioritized by the highest number of LCs | Lifestyle changes prioritized by the lowest number of LCs |
| Past | Paper waste recycling | Reducing clothing purchases |
| Plastic, metal, and glass waste recycling | Reducing business flights | |
| Public transportation | Avoiding short flights | |
| Switching to LED lighting | Teleworking | |
| Replacing windows with double or triple-glazed versions | Green diet | |
| Current | Switching to electric trucks | Washing laundry and dishes at a lower temperature |
| Using electric vehicles | Avoiding short flights | |
| Teleworking | Reducing business flights | |
| Investing in solar panels | Green diet | |
| Public transportation | Smart meter deployment | |
| Future | Reclaiming and reusing building materials | Paper waste recycling |
| Using electric vehicles | Switching to LED lighting | |
| Recycling water | Teleworking | |
| Eco-driving | Reduced printing | |
| Renovating to low-energy and smart houses | Plastic, metal, and glass waste recycling |
Lifestyle changes prioritized by the highest and the lowest number of experts.
4.3 Barriers and motivators for lifestyle changes
The experts' perspectives on the lifestyle change motivators and barriers in climate policymaking highlighted the following results.
The motivator selected with a top prominence by the highest share of experts (89%) was “information and education” (89%), followed by “encouragement” (48%) and “incentives” (48%). Three experts (one each from Baku, Vilnius, and Linz) noted that their LCs did not utilize motivators for supporting climate policymaking in their respective LCs. This correlates with previous studies suggesting local or national authorities' unwillingness to boost environmentally friendly behaviors due to their political interests (Lorenzoni et al., 2007).
Although “incentives” were regarded as one of the most significant lifestyle motivators among participants, no experts from Trujillo or Cape Town regarded “incentives” among the top lifestyle motivators for supporting climate policies. There is also a distinction between the perspectives of EU and non-EU experts regarding their perspectives on “incentives.” In this sense, while 60% of the EU experts identified “incentives” as a top lifestyle change motivator, only 30% of the non-EU experts selected “incentives” as a lifestyle change motivator.
Kent (2009) highlights that policymakers are responsible for removing barriers to lifestyle changes and encouraging city residents to change their habits. The top two lifestyle changes identified by the experts concerning climate policies pertain to changing habits, emphasizing the significance of policy action in this respect. Accordingly, concerning the barriers against lifestyle changes, the highest share of participants (70%) selected “difficulty with changing existing habits” (70%) among the most significant barriers. This was followed by “unwillingness to give up personal cars” (65%), and “cost of energy efficiency upgrades” (62%) as the most significant barriers for lifestyle changes. The barrier of “unwillingness to give up personal cars” was selected by a higher share of EU countries' (72%) respondents as a highly important barrier compared to non-EU countries' experts. This result suggests that residents of EU countries have stronger ties and higher dependence on their cars as part of their lifestyles.
5 Discussion of survey results and alignment with the findings from the literature review
The findings demonstrate the perspectives of experts from the 11 LCs, who have professional knowledge about climate mitigation strategies, lifestyle changes, and related experience in their respective cities. Hence, the expert survey provides significant information on the climate mitigation policies, strategies and lifestyle changes, the motivators and barriers and how the LCs prioritize them. The differences between the respondents from EU and non-EU LCs also point out noteworthy findings.
In line with the existing literature, the survey findings show that, for all LCs, public awareness of climate mitigation policies is selected by the highest share of experts (63%) as a top priority strategy for policy action. Concerning the EU perspective, this result is relevant to the previous studies that emphasize the significant role of “public education” and “outreach” in climate action strategies of European countries (Grafakos et al., 2020) and for future zero-carbon technologies (Asilsoy and Oktay, 2018).
The lowest number of experts selected the policy option of “incorporating degrowth in city's climate planning” as a top priority action item for climate mitigation policies in all timelines, the LCs' past, current, and future strategies. This outcome is unsurprising given the difficulty of degrowth policy at the macro level, as it requires a deep-rooted bottom-up and top-down transformation (Deriu, 2012; Alexander and Yacoumis, 2018; Büchs and Koch, 2019).
Regarding lifestyle changes in the LCs, the popularity of “recycling” as a priority action by the respondents from all LCs, with higher shares from European LCs, aligns with the findings from the existing literature on this topic. It has been demonstrated that recycling has become one of the essential strategies in Europe through “EU directives, fiscal measures […], pricing structures, and local authority provisions” in the recent three decades (Thomas and Sharp, 2013, p.12; Yu et al., 2019).
The survey results demonstrate that “switching to electric vehicles” is selected as a top motivator for lifestyle changes toward supporting climate policies. The literature also emphasizes that switching to electric vehicles can contribute to climate policies by reducing dependence on fossil fuels, and electric vehicles “have the potential to improve the efficiency, affordability, and sustainability of the transport system” (Ortar and Ryghaug, 2019). Hence, reducing the barriers to the deployment of electric vehicles is a significant policy agenda item for policymakers (Biresselioglu et al., 2018). The expert survey also indicates that debates on switching to electric cars are more prevalent among European LCs. This is apprehensible as the European Commission has adopted several targets for sustainable transport to achieve net zero by 2050 (Statharas et al., 2019). It is also consistent with the dramatic growth of the electric car market, which achieved sales surpassing 10 million in 2022 [International Energy Agency (IEA), 2023]. In addition, the discussions on switching to electric vehicles will likely gain momentum in the non-EU LCs as more non-EU countries are willing to decrease taxes on electric vehicles. These findings are mainly related to previous studies suggesting that lifestyle changes primarily comprise transportation transformation (Gjerstad and Flottum, 2021).
A remarkably higher percentage of experts from EU countries (28%) regard “regulations” to be among their top policy tools concerning climate mitigation as compared to experts from developing countries (13%). Similarly, ~59% of the experts from EU countries stated that their respective LCs prioritize “education and enabling” as one of the top policy strategies, compared to 31% of the experts from non-EU countries.
Concerning the recent (last 5–10 years) climate mitigation strategies, experts from EU countries point to a considerably higher share of prioritization of “increasing preparedness for extreme weather events” for their LCs, as compared to experts from non-EU LCs.
The lifestyle change “avoiding short flights” provides another example of differentiation between European and non-European LCs. Accordingly, while a more significant proportion of experts from non-European LCs (48%) prioritize “avoiding short flights,” only 18% of the experts from European LCs consider it. Given the density of short flights within Europe, this finding suggests that experts from European LCs regard short flights as a vital part of the lifestyles in their cities. Similarly, the lifestyle change concerning switching to “teleworking” is remarkably more predominant among European LCs (60%) than their non-EU counterparts (26%). This pertains to the cultural differences and impacts of COVID-19, whereby remote working has become more internalized within the climate strategies of the respective European countries compared to non-EU LCs.
The expert survey also points out the significance of cultural constructs and habits in climate change mitigation and the difference between EU and non-EU LC perspectives. The “difficulty with changing existing habits” is a more prevalent barrier to lifestyle changes among European LCs (72%) than non-European LCs (63%). This suggests that city dwellers in developed countries are more attached to their daily routines and well-established habits than their counterparts in developing non-EU countries. However, this barrier is a problem regarding LCs' climate mitigation strategies that local policymakers need to address. On the other hand, unlike European LCs, “lack of technology” and “lack of authority” emerge as crucial obstacles to lifestyle changes among the non-EU LCs.
The geographical locations of the LCs also affect the prioritization of policy actions and lifestyle choices, as evidenced by the expert survey. For instance, respondents from southern LCs with a higher level of urbanization report that their cities have considered the urban heat island effect as a priority item in the policy agenda for climate mitigation in the past (last 5–10 years) and are continuing to keep it in their current agenda.
6 Conclusion
As cities worldwide have increased their efforts to reduce their GHG intensity, it has become more critical to gain insight into their climate mitigation strategies and what they do about their residents' lifestyle changes. In this sense, this study examined the LCs from the perspectives of locals with prior knowledge and climate action experience in their respective cities. It primarily relies on the expert survey among 89 experts across 11 LCs and a comprehensive state-of-the-art literature review.
Several factors, processes, and variables can promote environmentally friendly lifestyles and climate mitigation strategies. As actors responsible for more than 70% of CO2 emissions in the world, cities are crucial players in climate mitigation policies and promoting environmentally friendly lifestyles of their residents. Furthermore, this study suggests that cities stand out as significant actors, as their activities involve multiple levels (e.g., “individual,” “household,” “community”), fields (e.g., “transportation,” “recycling,” “energy,” “food,” “water” etc.) and domains of influence (e.g., social, psychological, economic and cultural).
The expert survey and the literature review demonstrate that climate mitigation strategies regarding “increasing awareness and information provision” emerge as a critical issue for the 11 LCs under examination. In this sense, context-specific, structured, and long-term policies about this topic must be considered in the LCs to generate further support for climate actions among city residents. Another significant topic, “sustainable mobility,” is highlighted by the experts' responses and the literature review. Local governments are essential in developing their infrastructure, increasing their public network, and investing in sustainable transportation. Energy efficiency is another critical policy lever for the LCs in tackling climate change, which requires local policy experts to encourage their communities to change their daily habits.
The feasibility of the LCs' climate mitigation strategies primarily relies on public acceptance and lifestyle changes among city residents. Hence, any local authority should consider motivators and barriers to climate-friendly lifestyles. In this regard, “information and education,” “encouragement,” and local authorities' “modeling and exemplifying” for lifestyle changes are significant motivators that the LCs need to address. On the other hand, the barriers to lifestyle changes that obstruct the climate actions of LCs are “difficulty with changing existing habits,” “unwillingness to give up personal cars,” and “cost of energy efficiency upgrades.” This study suggests that these barriers differ according to the income level of the countries in which the cities are located. Hence, considering their specific circumstances, the local authorities of the LCs need to adopt interactive policy formulations combining bottom-up and top-down approaches to tackle these barriers.
Overall, this study's findings contribute to potential policy formulations of cities to address climate change through climate mitigation strategies and the promotion of lifestyle changes. All cities, regardless of income level, geographical location, or the EU membership status of their countries, need to take responsibility for their respective GHG emissions and undertake climate-friendly actions through climate mitigation policies and encouraging lifestyle changes in their cities. Future studies might testify to this necessity and address the limitations of this study by expanding the survey sample to different stakeholders rather than being confined to experts' perspectives and cities worldwide other than the Lighthouse Cities.
Statements
Data availability statement
Data concerning this article is available upon reasonable request from the corresponding author.
Ethics statement
The studies involving humans were approved by Izmir University of Economics' Ethics Committee on Social Sciences. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
MB: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Writing—original draft. ZS: Investigation, Validation, Visualization, Writing—original draft. MD: Conceptualization, Investigation, Resources, Supervision, Validation, Writing—original draft. CK-C: Formal analysis, Investigation, Methodology, Validation, Writing—original draft.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was part of the Climate CAMPAIGNers Project, which has received funding from the European Union's Horizon 2020 programme, under grant agreement No. 101003815.
Acknowledgments
The authors thank their project colleagues for disseminating the Climate CAMPAIGNers expert survey in their cities and for their collaborative efforts and input throughout the project.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
AguiléraA.PigalleE. (2021). The future and sustainability of carpooling practices, an identification of research challenges. Sustainability13, 11824. 10.3390/su132111824
2
AlexanderS.YacoumisP. (2018). Degrowth, energy descent, and 'low-tech'living: potential pathways for increased resilience in times of crisis. J. Clean. Prod.197, 1840–1848. 10.1016/j.jclepro.2016.09.100
3
AlexandruA.JitaruE. (2007). “Education for energy saving in the house,” in Proceedings of the WSEAS Int. Conference on Energy Planning, Energy Saving, Environmental Education (Arcachon), 84–89.
4
Al-HintiI.Al-SallamiH. (2017). Potentials and barriers of energy saving in Jordan's residential sector through thermal insulation. J. Mech. Ind. Eng. 11, 141–145. Available online at: http://jjmie.hu.edu.jo/vol-11-3/JJMIE-112-16-01.pdf
5
AmadoM.PoggiF.AmadoA. R. (2016). Energy efficient city: a model for urban planning. Sustain Cities Soc.26, 476–485. 10.1016/j.scs.2016.04.011
6
AmeliN.BrandtN. (2015). Determinants of households' investment in energy efficiency and renewables: evidence from the OECD survey on household environmental behaviour and attitudes. Environ. Res. Lett. 10, 1–14. 10.1088/1748-9326/10/4/044015
7
AsilsoyB.OktayD. (2018). Exploring environmental behaviour as the major determinant of ecological citizenship. Sustain Cities Soc.39, 765–771. 10.1016/j.scs.2018.02.036
8
BalogunA.MarksD.SharmaR.ShekharH.BalmesC.MahengD.et al. (2020). Assessing the potentials of digitalization as a tool for climate change adaptation and sustainable development in urban centres. Sustain Cities Soc.53, 101888. 10.1016/j.scs.2019.101888
9
BarrS.GilgA. (2006). Sustainable lifestyles: framing environmental action in and around the home. Geoforum37, 906–920. 10.1016/j.geoforum.2006.05.002
10
BassettE.ShandasV. (2010). Innovation and climate action planning: perspectives from municipal plans. J. Am. Plann. Assoc.76, 4435–450. 10.1080/01944363.2010.509703
11
BelaïdF.JoumniH. (2020). Behavioural attitudes towards energy saving: empirical evidence from France. Energy Policy. 140, 1–10. 10.1016/j.enpol.2020.111406
12
BertoldiP.LabancaN.RezessyS.SteuwerS.OikonomouV. (2013a). Where to place the saving obligation: energy end-users or suppliers?Energy Policy63, 328–337. 10.1016/j.enpol.2013.07.134
13
BertoldiP.RezessyS.OikonomouV. (2013b). Rewarding energy savings rather than energy efficiency: exploring the concept of a feed-in tariff for energy savings. Energy Policy56, 526–535. 10.1016/j.enpol.2013.01.019
14
BiresseliogluM. E.Demirbag KaplanM.YilmazB. K. (2018). Electric mobility in Europe: a comprehensive review of motivators and barriers in decision making processes. Transport. Res. A Policy Pract.109, 1–13. 10.1016/j.tra.2018.01.017
15
BiresseliogluM. E.Kentmen-CinC.DemirM. H.SavasZ. F.SolakB.OnderB.et al. (2023). How to exploit sustainable food consumption habits of individuals: evidence from a household survey in Izmir, Türkiye. Sustainability15, 8271. 10.3390/su15108271
16
BoehnkeR. F.HoppeT.BrezetH.BlokK. (2019). Good practices in local climate mitigation action by small and medium-sized cities; exploring meaning, implementation and linkage to actual lowering of carbon emissions in thirteen municipalities in The Netherlands. J. Clean. Prod.207, 630–644. 10.1016/j.jclepro.2018.09.264
17
BorregoC.MartinsH.TchepelO.SalmimL.MonteiroA.MirandaA. I.et al. (2006). How urban structure can affect city sustainability from an air quality perspective. Environ. Model. Softw.21, 461–467. 10.1016/j.envsoft.2004.07.009
18
BryngelssonD.HedenusF.JohanssonD. J.AzarC.WirseniusS. (2017). How do dietary choices influence the energy-system cost of stabilizing the climate?Energies10, 182. 10.3390/en10020182
19
BüchsM.KochM. (2019). Challenges for the degrowth transition: the debate about wellbeing. Futures105, 155–165. 10.1016/j.futures.2018.09.002
20
BularcaO.FloreaM.DumitrescuA. M. (2018). “Smart metering deployment status across EU-28,” in International Symposium on Fundamentals of Electrical Engineering (ISFEE) (Bucharest), 1–6. 10.1109/ISFEE.2018.8742468
21
BulkeleyH. (2010). Cities and the governing of climate change. Annu. Rev. Environ. Resour. 35, 229–253. 10.1146/annurev-environ-072809-101747
22
BulkeleyH. (2015). Can cities realise their climate potential? Reflections on COP21 Paris and beyond. Local Environ. 20, 1405–1409. 10.1080/13549839.2015.1108715
23
BulkeleyH.BetsillM. (2005). Rethinking sustainable cities: multilevel governance and the'urban'politics of climate change. Env. Polit.14, 42–63. 10.1080/0964401042000310178
24
ChakrobortyP. (2017). “Sustainable transportation for indian cities: role of intelligent transportation systems” in Sustainability Issues in Civil Engineering, eds Sivakumar BabuG.SarideS.BashaB. (Springer Transactions in Civil and Environmental Engineering. Singapore: Springer), 51–60. 10.1007/978-981-10-1930-2_4
25
Climate Campaigners (2023). Cities-where Change Happens. Available online at: https://project.climate-campaigners.com/lighthouse-cities (accessed September 11, 2023).
26
CreutzigF.AgostonP.MinxJ. C.CanadellJ. G.AndrewR. M.QuéréC. L.et al. (2016). Urban infrastructure choices structure climate solutions. Nat. Clim. Chang. 6, 1054–1056. 10.1038/nclimate3169
27
CreutzigF.RoyJ.LambW. F.AzevedoI. M.Bruine de BruinW.DalkmannH.et al. (2018). Towards demand-side solutions for mitigating climate change. Nat. Clim. Chang.8, 260–263. 10.1038/s41558-018-0121-1
28
CruickshankS.KendallM. (2012). Low-emission vehicle adoption in a UK local authority fleet: economic barriers and air quality benefits. Int. J. Low-Carbon Technol.7, 16–22. 10.1093/ijlct/ctr025
29
DasguptaS.LallS.WheelerD. (2022). Cutting Global Carbon Emissions: Where do Cities Stand? Available online at: https://blogs.worldbank.org/sustainablecities/cutting-global-carbon-emissions-where-do-citiesstand#:~:text=Cities%20account%20for%20over%2070,constructed%20with%20carbon%2Dintensive%20materials (accessed September 11, 2023).
30
De BoerJ.De WittA.AikingH. (2016). Help the climate, change your diet: a cross-sectional study on how to involve consumers in a transition to a low-carbon society. Appetite98, 19–27. 10.1016/j.appet.2015.12.001
31
DebelayaI. D.MorozovaG. Y. (2020). Urban protected areas in green infrastructure of Khabarovsk City. Teor. Prikl. Ekolo.3, 203–209. 10.25750/1995-4301-2020-3-203-209
32
DeriuM. (2012). Democracies with a future: degrowth and the democratic tradition. Futures44, 553–561. 10.1016/j.futures.2012.03.016
33
EisenackK.RoggeroM. (2022). Many roads to Paris: explaining urban climate action in 885 European cities. Glob. Environ. Change72, 1–12. 10.1016/j.gloenvcha.2021.102439
34
EricksonP.TempestK. (2015). Keeping Cities Green: Avoiding Carbon Lock-in due to Urban Development. Seattle, WA: Stockholm Environmental Institute. 10.1088/1748-9326/10/8/084023
35
European Commission (2016). Smart Cities and Communities Lighthouse Project. Available online at: https://cordis.europa.eu/programme/id/H2020_SCC-1-2016-2017 (accessed September 12, 2023).
36
FischerC. (2008). Feedback on household electricity consumption: a tool for saving energy?Energy Effic.1, 79–104. 10.1007/s12053-008-9009-7
37
FitriatyP.ShenZ.SugiharaK. (2018). “How green is your smart house: looking back to the original concept of the smart house,” in Green City Planning and Practices in Asian Cities: Sustainable Development and Smart Growth in Urban Environments, eds ShenZ.HuangL.PengK. (Cham: Springer), 39–76. 10.1007/978-3-319-70025-0_3
38
FuH.LiuX. (2017). A study on the impact of environmental education on individuals' behaviors concerning recycled water reuse. Eurasia J. Math. Sci. Technol. Educ. 13, 6715–6724. 10.12973/ejmste/78192
39
GenelettiD.ZardoL. (2016). Ecosystem-based adaptation in cities: an analysis of European urban climate adaptation plans. Land Use Policy50, 38–47. 10.1016/j.landusepol.2015.09.003
40
GjerstadO.FlottumK. (2021). Climate change lifestyle narratives among Norwegian citizens: a linguistic analysis of survey discourse. Eur Policy Anal.7, 386–404. 10.1002/epa2.1122
41
GlaasE.HjerpeM.KarlsonM.NesetT. S. (2020). Visualization for citizen participation: user perceptions on a mainstreamed online participatory tool and its usefulness for climate change planning. Sustainability12, 1–16. 10.3390/su12020705
42
GorelickJ.WalmsleyN. (2020). The greening of municipal infrastructure investments: technical assistance, instruments, and city champions. Green Finance2, 114–134. 10.3934/GF.2020007
43
GrafakosS.VieroG.ReckienD.TriggK.ViguieV.SudmantA.et al. (2020). Integration of mitigation and adaptation in urban climate change action plans in Europe: a systematic assessment. Renew. Sustain. Energy Rev.121, 1–20. 10.1016/j.rser.2019.109623
44
GranbergM.ElanderI. (2007). Local governance and climate change: reflections on the Swedish experience. Local Environ.12, 537–548. 10.1080/13549830701656911
45
GroholtK.HigleyJ. (1972). National elite surveys: some experience from Norway. Acta Sociol.15, 168–183. 10.1177/000169937201500206
46
HarkerJ.TaylorP.Knight-LenihanS. (2017). Multi-level governance and climate change mitigation in New Zealand: lost opportunities. Clim. Policy17, 485–500. 10.1080/14693062.2015.1122567
47
HerslundL.MguniP. (2019). Examining urban water management practices–challenges and possibilities for transitions to sustainable urban water management in Sub-Saharan cities. Sustain. Cities Soc.48, 101573. 10.1016/j.scs.2019.101573
48
HookA.SovacoolB. K.SorrellS. (2020). A systematic review of the energy and climate impacts of teleworking. Environ. Res. Lett. 15, 093003. 10.1088/1748-9326/ab8a84
49
HoppeT.van den BergM. M.CoenenF. H. (2014). Reflections on the uptake of climate change policies by local governments: facing the challenges of mitigation and adaptation. Energy Sustain. Soc.4, 1–16. 10.1186/2192-0567-4-8
50
HorneJ.TortajadaC.HarringtonL. (2018). Achieving the sustainable development goals: improving water services in cities affected by extreme weather events. Int. J. Water Resour. Dev.34, 475–489. 10.1080/07900627.2018.1464902
51
HsuA.TanJ.NgY. M.TohW.VandaR.GoyalN.et al. (2020). Performance determinants show European cities are delivering on climate mitigation. Nat. Clim. Chang.10, 1015–1022. 10.1038/s41558-020-0879-9
52
International Energy Agency (IEA) (2023). Electric Vehicles. Available online at: https://www.iea.org/energy-system/transport/electric-vehicles (accessed September 12, 2023).
53
JnatK.ShahrourI.ZaouiA. (2020). Impact of smart monitoring on energy savings in a social housing residence. Buildings10, 21. 10.3390/buildings10020021
54
Jonek-KowalskaI. (2023). Assessing the effectiveness of air quality improvements in polish cities aspiring to be sustainably smart. Smart Cities6, 510–530. 10.3390/smartcities6010024
55
KazemiM.KazemiA. (2022). Financial barriers to residential buildings' energy efficiency in Iran. Energy Effic.15, 30. 10.1007/s12053-022-10039-8
56
KentJ. (2009). Individualized responsibility and climate change: ‘If climate protection becomes everyone's responsibility, does it end up being no-one's?' Cosmop. Civ. Soc. 1, 132–149. 10.5130/ccs.v1i3.1081
57
KertzerJ. D.RenshonJ. (2022). Experiments and surveys on political elites. Ann. Rev. Polit. Sci.25, 529–550. 10.1146/annurev-polisci-051120-013649
58
KhanS.WintgensT.ShermanP.ZarickyJ.SchäferA. (2005). A performance comparison of individual and combined treatment modules for water recycling. Environ. Prog.24, 383–391. 10.1002/ep.10108
59
KhmaraY.KronenbergJ. (2023). On the road to urban degrowth economics? Learning from the experience of C40 cities, doughnut cities, transition towns, and shrinking cities. Cities136, 104259. 10.1016/j.cities.2023.104259
60
Kiba-JaniakM.ThompsonR.ChebaK. (2021). An assessment tool of the formulation and implementation a sustainable integrated passenger and freight transport strategies. An example of selected European and Australian cities. Sustain. Cities Soc.71, 102966. 10.1016/j.scs.2021.102966
61
Kiba-JaniakM.WitkowskiJ. (2019). Sustainable urban mobility plans: how do they work?. Sustainability11, 4605. 10.3390/su11174605
62
KilkisS. (2022). Urban emissions and land use efficiency scenarios towards effective climate mitigation in urban systems. Renew. Sustain. Energy Rev.167, 1–20. 10.1016/j.rser.2022.112733
63
KountourisY. (2022). The influence of local waste management culture on individual recycling behavior. Environ. Res. Lett. 17, 074017. 10.1088/1748-9326/ac7604
64
KrähmerK. (2021). Are green cities sustainable? A degrowth critique of sustainable urban development in Copenhagen. Eur. Plann. Stud.29, 1272–1289. 10.1080/09654313.2020.1841119
65
KristiánováK.StepankovaR. (2015). “Green infrastructure of historic city cores-case studies from Slovakia” in 15th International Multidisciplinary Scientific Geoconference (Sofia: SGEM), 437–444. 10.5593/SGEM2015/B62/S27.057
66
KuttyA. A.AbdellaG. M.KucukvarM.OnatN. C.BuluM. (2020). A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals. Sustain. Dev.28, 1347–1365. 10.1002/sd.2088
67
Lagman-BautistaJ. (2020). Crafting a theoretical framework on waste management: a case for sustainable cities. GEOMATE J.18, 80–86. 10.21660/2020.68.5683
68
LambW. F.CallaghanM. W.CreutzigF.KhoslaR.MinxJ. C. (2018). The literature landscape on 1.5 C climate change and cities. Curr. Opin. Environ. Sustain.30, 26–34. 10.1016/j.cosust.2018.02.008
69
LassiterA.LeonardN. (2022). A systematic review of municipal smart water for climate adaptation and mitigation. Environ. Plan. B: Urban Anal. City Sci.49, 1406–1430. 10.1177/23998083211072864
70
Le-AnhT.NguyenM. D.NguyenT. T.DuongK. T. (2023). Energy saving intention and behavior under behavioral reasoning perspectives. Energy Effic.16, 8. 10.1007/s12053-023-10092-x
71
LeeR. P.MeyerB.HuangQ.VossR. (2020). Sustainable waste management for zero waste cities in China: potential, challenges and opportunities. Clean Energy4, 169–201. 10.1093/ce/zkaa013
72
LiC.LuT.FuB.WangS.HoldenJ. (2022). Sustainable city development challenged by extreme weather in a warming world. Geogr. Sustain.3, 114–118. 10.1016/j.geosus.2022.04.001
73
LiC.NiA.DingJ. (2015). “Eco-driving—current strategies and issues, a preliminary survey,”in Information Technology and Mechatronics Engineering Conference (Dordrecht: Atlantic Press), 226–234. 10.2991/itoec-15.2015.46
74
LiuL.JensenM. B. (2018). Green infrastructure for sustainable urban water management: practices of five forerunner cities. Cities74, 126–133. 10.1016/j.cities.2017.11.013
75
López-Cózar-NavarroC.Priede-BergaminiT.Benito-HernándezS. (2023). How family character affect the financing of environmental protection strategies and energy-saving measures. Amfiteatru Econ.25, 503–521. 10.24818/EA/2023/63/503
76
LorenzoniI.Nicholson-ColeS.WhitmarshL. (2007). Barriers perceived to engaging with climate change among the UK public and their policy implications. Glob. Environ. Change17, 445–459. 10.1016/j.gloenvcha.2007.01.004
77
LuC. W.HuangJ. C.ChenC.ShuM. H.HsuC. W.BapuB. T.et al. (2021). An energy-efficient smart city for sustainable green tourism industry. Sustain. Energy Technol. Assess.47, 101494. 10.1016/j.seta.2021.101494
78
LutseyN.SperlingD. (2008). America's bottom-up climate change mitigation policy. Energy Policy36, 673–685. 10.1016/j.enpol.2007.10.018
79
MillerP.de BarrosA. G.KattanL.WirasingheS. C. (2016). Public transportation and sustainability:aA review. KSCE J. Civil Eng.20, 1076–1083. 10.1007/s12205-016-0705-0
80
MillsB.SchleichJ. (2012). Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: an analysis of European countries. Energy Policy49, 616–628. 10.1016/j.enpol.2012.07.008
81
MillsB.SchleichJ. (2014). Household transitions to energy efficient lighting. Energy Econ.46, 151–160. 10.1016/j.eneco.2014.08.022
82
MiltiadouM.MintsisG.BasbasS.TaxiltarisC.TsoukalaA. (2019). “Sustainable urban mobility plans in mediterranean port-cities: the SUMPORT Project” in Data Analytics: Paving the Way to Sustainable Urban Mobility: Proceedings of 4th Conference on Sustainable Urban Mobility (CSUM2018) (New York, NY: Springer International Publishing), 410–417. 10.1007/978-3-030-02305-8_50
83
MonniS.RaesF. (2008). Multilevel climate policy: the case of the European Union, Finland and Helsinki. Environ. Sci. Policy11, 743–755. 10.1016/j.envsci.2008.08.001
84
MoserS. (2013). Poor energy poor: energy saving obligations, distributional effects, and the malfunction of the priority group. Energy Policy61, 1003–1010. 10.1016/j.enpol.2013.06.021
85
MossT.BeckerS.NaumannM. (2015). Whose energy transition is it, anyway? Organisation and ownership of the Energiewende in villages, cities and regions. Local Environ.20, 1547–1563. 10.1080/13549839.2014.915799
86
MwanzaB. G.MbohwaC. (2017). Drivers to sustainable plastic solid waste recycling: a review. Procedia Manuf.8, 649–656. 10.1016/j.promfg.2017.02.083
87
NairG.MahapatraK.GustavssonL. (2012). Implementation of energy-efficient windows in Swedish single-family houses. Appl. Energy89, 329–338. 10.1016/j.apenergy.2011.07.040
88
NeijL.HeiskanenE. (2021). Municipal climate mitigation policy and policy learning-a review. J. Clean. Prod.317, 1–19. 10.1016/j.jclepro.2021.128348
89
NiamirL.IvanovaO.FilatovaT.VoinovA.BressersH. (2020). Demand-side solutions for climate mitigation: bottom-up drivers of household energy behavior change in the Netherlands and Spain. Energy Res. Soc. Sci.62, 1–13. 10.1016/j.erss.2019.101356
90
NoussanM.JarreM. (2021). Assessing commuting energy and emissions savings through remote working and carpooling: lessons from an italian region. Energies14, 7177. 10.3390/en14217177
91
NwakaireC. M.OnnC. C.YapS. P.YuenC. W.OnodaguP. D. (2020). Urban Heat Island Studies with emphasis on urban pavements: a review. Sustain Cities Soc.63, 102476. 10.1016/j.scs.2020.102476
92
O'BrienW.AliabadiF. Y. (2020). Does telecommuting save energy? A critical review of quantitative studies and their research methods. Energy Build.225, 110298. 10.1016/j.enbuild.2020.110298
93
OrtarN.RyghaugM. (2019). Should all cars be electric by 2025? The electric car debate in Europe. Sustainability11, 1868. 10.3390/su11071868
94
PattonM. Q. (2002). Two decades of developments in qualitative inquiry: a personal, experiential perspective. Qual. Soc. Work.1, 261–283. 10.1177/1473325002001003636
95
PereiraA. S.OliveiraL. B.ReisM. M. (2000). Waste recycling and the sustainable city. WIT Trans. Ecol. Environ. 39, 185–192. 10.2495/URS000201
96
PerićK.ŠimićZ.JurićŽ. (2022). Characterization of uncertainties in smart city planning: a case study of the smart metering deployment. Energies15, 2040. 10.3390/en15062040
97
PerretJ. K.UdalovV.FabischN. (2022). Motivations behind individuals' energy efficiency investments and daily energy-saving behavior: the case of China. Int. Econ. Econ. Policy19, 129–155. 10.1007/s10368-021-00521-6
98
PhilippidisG.Ferrer-PérezH.Gracia-de-RenteríaP.M'barekR.LópezA. I. S. (2021). Eating your greens: a global sustainability assessment. Resour. Conserv. Recycl. 168, 105460. 10.1016/j.resconrec.2021.105460
99
QuamV. G. M.RocklövJ.QuamM. B. M.LucasR. A. I. (2017). Assessing greenhouse gas emissions and health co-benefits: a structured review of lifestyle-related climate change mitigation strategies. Int. J. Environ. Res. Public Health14, 468. 10.3390/ijerph14050468
100
RabeB. G. (2004). Statehouse and Greenhouse: The Emerging Politics of American Climate Change Policy. Washington, DC: Brookings Institution Press.
101
RahimiM. (2020). Public awareness: what climate change scientists should consider. Sustainability12, 8369. 10.3390/su12208369
102
RajeshS.ShashankP.AbhirupD.ToluA.ZorroD.ZakaryaA.et al. (2019). Sustainable transportation in metropolitan cities; Berlin, Helsinki, New Delhi and Pune. IOP Conf. Ser. Earth Environ. Sci.297, 012025. 10.1088/1755-1315/297/1/012025
103
RickardsL.WisemanJ.KashimaY. (2014). Barriers to effective climate change mitigation: the case of senior government and business decision makers. Wiley Interdiscip. Rev. Clim. Change5, 753–773. 10.1002/wcc.305
104
RosenowJ. (2012). Energy savings obligations in the UK—a history of change. Energy Policy49, 373–382. 10.1016/j.enpol.2012.06.052
105
RosenzweigC.SoleckiW.HammerS. A.MehrotraS. (2010). Cities lead the way in climate–change action. Nature467, 909–911. 10.1038/467909a
106
SaieghS. M. (2009). Recovering a basic space from elite surveys: evidence from Latin America. Legis. Stud. Q34, 117–145. 10.3162/036298009787500349
107
SalviaM.ReckienD.PietrapertosaF.EckersleyP.SpyridakiN. A.Krook-RiekkolaA.et al. (2021). Will climate mitigation ambitions lead to carbon neutrality? An analysis of the local-level plans of 327 cities in the EU. Renew. Sustain. Energy Rev.135, 1–14. 10.1016/j.rser.2020.110253
108
SardianouE.GenoudiP. (2013). Which factors affect the willingness of consumers to adopt renewable energies?Renew. Energy57, 1–4. 10.1016/j.renene.2013.01.031
109
SharpE. B.DaleyD. M.LynchM. S. (2011). Understanding local adoption and implementation of climate change mitigation policy. Urban Aff. Rev.47, 433–457. 10.1177/1078087410392348
110
ShenM.LiX.LuY.CuiQ.WeiY. M. (2021). Personality-based normative feedback intervention for energy conservation. Energy Econ.104, 105654. 10.1016/j.eneco.2021.105654
111
ShresthaB.TiwariS. R.BajracharyaS. B.KeitschM. M.RijalH. B. (2021). Review on the importance of gender perspective in household energy-saving behavior and energy transition for sustainability. Energies14, 7571. 10.3390/en14227571
112
ShuM.WuS.WuT.QiaoZ.WangN.XuF.et al. (2022). Efficient energy consumption system using heuristic renewable demand energy optimization in smart city. Comput. Intell.38, 784–800. 10.1111/coin.12412
113
SiehrS. A.SunM.Aranda NucamendiJ. L. (2022). Blue-green infrastructure for climate resilience and urban multifunctionality in Chinese cities. Wiley Interdiscip. Rev. Energy Environ.11, e447. 10.1002/wene.447
114
SimanavicieneZ.VolochovicA.GizieneV. (2013). “Energy behaviour in households: basic patterns of behavior and their impact on energy savings in households,” in 11th EBES Conference Proceedings (ISBN: 978-605-64002-3-0) (Ekaterinburg).
115
SirakayaA.CliquetA.HarrisJ. (2018). Ecosystem services in cities: towards the international legal protection of ecosystem services in urban environments. Ecosyst. Serv.29, 205–212. 10.1016/j.ecoser.2017.01.001
116
SongQ.LiJ.DuanH.YuD.WangZ. (2017). Towards to sustainable energy-efficient city: a case study of Macau. Renew. Sustain. Energy Rev.75, 504–514. 10.1016/j.rser.2016.11.018
117
StatharasS.MoysoglouY.SiskosP.ZaziasG.CaprosP. (2019). Factors influencing electric vehicle penetration in the EU by 2030: a model-based policy assessment. Energies12, 1–25. 10.3390/en12142739
118
StegL.GiffordR. (2005). Sustainable transportation and quality of life. J. Transp. Geogr.13, 59–69. 10.1016/j.jtrangeo.2004.11.003
119
SunL.FengN. (2023). Research on fiscal policies supporting green and low-carbon transition to promote energy conservation and emission reduction in cities: empirical evidence from China. J. Clean. Prod.430, 139688. 10.1016/j.jclepro.2023.139688
120
ThomasC.SharpV. (2013). Understanding the normalisation of recycling behaviour and its implications for other pro-environmental behaviours: a review of social norms and recycling. Resour. Conserv. Recycl.79, 11–20. 10.1016/j.resconrec.2013.04.010
121
Throne-HolstH.StrandbakkenP.StøE. (2008). Identification of households' barriers to energy saving solutions. Manag. Environ. Qual. 19, 54–66. 10.1108/14777830810840363
122
TrottaG. (2018). Factors affecting energy-saving behaviours and energy efficiency investments in British households. Energy Policy114, 529–539. 10.1016/j.enpol.2017.12.042
123
TurońK. (2023). Car-sharing systems in smart cities: a review of the most important issues related to the functioning of the systems in light of the scientific research. Smart Cities6, 796–808. 10.3390/smartcities6020038
124
TvinnereimE.FløttumK.GjerstadO.JohannessonM. P.NordøA. D. (2017). Citizens'preferences for tackling climate change. Quantitative and qualitative analyses of their freely formulated solutions. Glob. Environ. Change46, 34–41. 10.1016/j.gloenvcha.2017.06.005
125
UmitR.PoortingaW.JokinenP.PohjolainenP. (2019). The role of income in energy efficiency and curtailment behaviours: findings from 22 European countries. Energy Res. Soc. Sci.53, 206–214. 10.1016/j.erss.2019.02.025
126
United Nations (2023a). Act Now. Available online at: https://www.un.org/actnow?gclid=Cj0KCQjw7aqkBhDPARIsAKGa0oJfLBiKbky51V72LvyRiTgFHCEzyqgtaHPONiV060Uw9bOInt5UxuAaAmXyEALw_wcB (accessed September 12, 2023).
127
United Nations (2023b). Mitigation. Available online at: https://www.unep.org/explore-topics/climate-action/what-we-do/mitigation (accessed September 12, 2023).
128
ValentiniD.WangelJ.HolmgrenS. (2023). Representations of urban cycling in sustainability transitions research: a review. Eur. Transp. Res. Rev.15, 1–15. 10.1186/s12544-023-00603-3
129
Van der HeijdenJ. (2019). Studying urban climate governance: where to begin, what to look for, and how to make a meaningful contribution to scholarship and practice. Earth Syst. Gov.1, 1–10. 10.1016/j.esg.2019.100005
130
Von BorgstedeC.AnderssonM.JohnssonF. (2013). Public attitudes to climate change and carbon mitigation—implications for energy-associated behaviours. Energy Policy57, 182–193. 10.1016/j.enpol.2013.01.051
131
WangB.ShenY.JinY. (2017). Measurement of public awareness of climate change in China: based on a national survey with 4,025 samples. Chin. J. Popul. Resour. Environ. 15, 285–291. 10.1080/10042857.2017.1418276
132
WangG.WangY.ZhaoT. (2008). Analysis of interactions among the barriers to energy saving in China. Energy Policy36, 1879–1889. 10.1016/j.enpol.2008.02.006
133
WatabeA.LeaverJ.IshidaH.ShafieiE. (2019). Impact of low emissions vehicles on reducing greenhouse gas emissions in Japan. Energy Policy130, 227–242. 10.1016/j.enpol.2019.03.057
134
WebbJ.HawkeyD.TingeyM. (2016). Governing cities for sustainable energy: the UK case. Cities54, 28–35. 10.1016/j.cities.2015.10.014
135
XuQ.HwangB. G.LuY. (2021). Exploring the influencing paths of behavior-driven household energy-saving intervention–Household Energy Saving Option (HESO). Sustain Cities Soc.71, 102951. 10.1016/j.scs.2021.102951
136
XuY.ZhangR.DongB.WangJ. (2023). Can the construction of low-carbon cities reduce haze pollution?J. Environ. Plann. Manag.66, 590–620. 10.1080/09640568.2021.2000372
137
YadavR.PandaD. K.KumarS. (2022). Understanding the individuals' motivators and barriers of e-waste recycling: a mixed-method approach. J. Environ. Manage.324, 116303. 10.1016/j.jenvman.2022.116303
138
YangL.QianF.SongD. X.ZhengK. J. (2016). Research on urban heat-island effect. Procedia Eng.169, 11–18. 10.1016/j.proeng.2016.10.002
139
YuT. K.Feng-YiL.KaoK. Y.ChaoC. M.YuT. Y. (2019). An innovative environmental citizen behavior model: recycling intention as climate change mitigation strategies. J. Environ. Manage.247, 499–508. 10.1016/j.jenvman.2019.06.101
140
ZhangH.SunX.AhmadM.LuY.XueC. (2022). A step towards a green future: does sustainable development policy reduce energy consumption in resource-based cities of China?. Front. Environ. Sci.10, 901721. 10.3389/fenvs.2022.901721
141
ZhangJ.ZhengT. (2023). Can dual pilot policy of innovative city and low carbon city promote green lifestyle transformation of residents?J. Clean. Prod.405, 136711. 10.1016/j.jclepro.2023.136711
142
ZhangX. (2019). The impact of reducing heating temperature on energy saving and emission reduction. AIP Conf. Proc.2122, 1. 10.1063/1.5116467
143
ZhangZ.SunZ.LuH. (2022). Does the e-commerce city pilot reduce environmental pollution? Evidence from 265 cities in China. Front. Environ. Sci.10, 813347. 10.3389/fenvs.2022.813347
144
ZhuQ.GengY. (2013). Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers. J. Clean. Prod.40, 6–12. 10.1016/j.jclepro.2010.09.017
145
ZustB.JostR. (2022). Public health awareness of climate change's impact on health. Public Health Nurs. 39, 797–805. 10.1111/phn.13050
Summary
Keywords
climate mitigation, lifestyle change, expert survey, lighthouse cities, climate change
Citation
Biresselioglu ME, Savas ZF, Demir MH and Kentmen-Cin C (2024) Tackling climate change at the city level: insights from Lighthouse Cities' climate mitigation efforts. Front. Psychol. 14:1308040. doi: 10.3389/fpsyg.2023.1308040
Received
05 October 2023
Accepted
05 December 2023
Published
08 February 2024
Volume
14 - 2023
Edited by
Victor Corral-Verdugo, University of Sonora, Mexico
Reviewed by
Sabine Pirchio, Sapienza University of Rome, Italy
Lucia Vigoroso, National Research Council (CNR), Italy
Updates
Copyright
© 2024 Biresselioglu, Savas, Demir and Kentmen-Cin.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mehmet Efe Biresselioglu efe.biresselioglu@ieu.edu.tr
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