AUTHOR=Xiao Guangnian , Wang Tian , Luo Yuhang , Yang Daoqi 

TITLE=Analysis of port pollutant emission characteristics in United States based on multiscale geographically weighted regression

JOURNAL=Frontiers in Marine Science

VOLUME=Volume 10 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2023.1131948

DOI=10.3389/fmars.2023.1131948

ISSN=2296-7745

ABSTRACT=The huge fuel consumption of shipping activities has a great impact on the ecological environment, port city environment, air quality, and residents’ health. This paper uses Automatic Identification System (AIS) data records and ship-related data in 2021 coastal waters of the United States to calculate pollutant emissions from ships in 2021 major ports of the United States. The results denote that the distribution trend of ship pollutant emissions has a gap based on various ship types and ports. In addition, policies have different effects on emission reduction of various pollutants. While controlling the social and economic attributes, the coastline length, container throughput, and population are used to describe the spatial effects of ship pollutant emissions in the United States. Geographically weighted regression (GWR) model is used to investigate the spatial heterogeneity of various factors affecting the characteristics of ship pollutant emissions at different scales. This paper mainly compares the effect of models of GWR and multiscale geographically weighted regression (MGWR). MGWR may truly reveal the scale difference between different variables. The impact coefficients of coastline length and population on pollutant emissions in port areas are mostly positive, indicating that the growth of coastline length and population will increase pollutant emissions in port areas, while the effect of container throughput is opposite.