ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Policy and Governance
Measuring the multi-functionality of typical mountainous villages in Chongqing based on location big data
Provisionally accepted
- 1Hangzhou City University, Hangzhou, China
- 2Chongqing Huadi Resource and Environment Technology Co.,LTD, Chongqing, China
- 3Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, Chongqing, China
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Rural multi-functional development is the key paradigm to guide the transformation and upgrading of agriculture and rural areas and the practice of urban-rural integration. However, the existing research ignores the key role of individual rural residents in the transformation of rural space. In order to deeply reveal the internal relationship between the activity rules and multi-functionality of multiple actors in rural space, this paper applies the location data of mobile phone signaling to the multi-functionality evaluation at the village scale, and constructs the three functional index systems of residential, employment and consumption in rural space. Taking the typical villages in Chongqing, a mountainous and hilly area, as the research area, this paper conducts an empirical analysis of the multi-functionality evaluation and its influencing factors at the village scale. The results show that the rural space with similar location conditions and regional characteristics shows different dominant functions on working days, weekends and holidays, which can be further divided into the combination of agriculture and tourism, part-time competition, modern park type and urban life type. As a useful attempt of big data method in the field of rural geography, the research conclusion can provide scientific reference for the classification of rural revitalization strategy to promote rural development.
Keywords: Chongqing, Location big data, measuring, Mountainous villages, Multi-functionality
Received: 13 Sep 2025; Accepted: 29 Jan 2026.
Copyright: © 2026 Cao, TIAN, LIU, LIU and HE. 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) or licensor 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: Wei Cao
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