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城市土地利用对居民通勤碳排放的影响研究
引用本文:戴刘冬,周锐,张凤娥,王新军.城市土地利用对居民通勤碳排放的影响研究[J].长江流域资源与环境,2016,25(Z1):68-77.
作者姓名:戴刘冬  周锐  张凤娥  王新军
作者单位:1. 复旦大学环境科学与工程系, 上海 200433;2. 复旦大学城市规划与发展研究中心, 上海 200433
摘    要:以南阳市为例,基于3 746组实地调查数据,采用GIS、多元线性回归和结构方程模型,系统分析了我国中部城市居民通勤碳排放的空间分异特征,重点研究了居住地和工作地中小尺度土地利用因子对通勤碳排放的影响机制。研究发现:在内生变量中,通勤距离和通勤方式均是影响居民通勤碳排放的显著因素;在外生变量中,工作地的道路密度和商业用地占比、居住地的人口密度与通勤碳排放呈显著正相关,公交线路数量、居住地的土地利用混合度、工作地的居住用地和工业用地占比与通勤碳排放呈显著负相关。研究成果旨在为研究区城市土地利用优化调控和低碳规划提供决策依据,也为其他同类地区城市土地利用低碳规划与可持续发展提供借鉴。

关 键 词:城市土地利用  通勤碳排放  GIS  结构方程模型  

EFFECTS OF URBAN LAND-USE ON RESIDENTS' COMMUTING CO2 EMISSION
DAI Liu-dong,ZHOU Rui,ZHANG Feng-e,WANG Xin-jun.EFFECTS OF URBAN LAND-USE ON RESIDENTS' COMMUTING CO2 EMISSION[J].Resources and Environment in the Yangtza Basin,2016,25(Z1):68-77.
Authors:DAI Liu-dong  ZHOU Rui  ZHANG Feng-e  WANG Xin-jun
Institution:1. Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China;2. Research Center for Urban Planning & Development of Fudan University, Shanghai 200433, China
Abstract:With the aim to provide a basis on which decisions are made with regard to the optimization and low-carbon planning of urban land use in the researched city and offer some insights into low-carbon planning and sustainable development in similar cities, this study investigates the influencing mechanism of land-use factors at medium-and-small scale in the working and living areas on residents' commuting CO2 emission by means of GIS and statistical methods such as multiple linear regression and structural equation model, with an instance of Nanyang City, Henan Province at the level of individual residents on the basis of 3, 746 sets of data acquired through field survey. The study discovers that among endogenous variables commuting distance and commuting choices are the major factors that have an impact on residents' commuting CO2 emission, while among the exogenous variables, the road density in the working areas, the proportion of commercial land and the population density in the living areas have significant positive correlation with commuting CO2 emission, whereas the number of bus routes, the degree of mixed land use in the living areas, the ratio of residential land and industrial land in the working areas have significant negative correlation with commuting CO2 emission.
Keywords:urban land-use  commuting CO2 emission  GIS  structural equation model  
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