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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。
Taking Nanyang City as an example, based on data from 3,746 groups of field surveys, GIS, multiple linear regression and structural equation models were used to systematically analyze the spatial differentiation characteristics of urban residents’ commuting carbon emissions in central China, and focused on the study of the small and medium residence and working areas. The impact of scale land use factors on the carbon emissions of commutes. The study found that: In endogenous variables, commuting distance and commuting methods are all significant factors that affect the carbon emissions of commuters; among the exogenous variables, the road density of working places and the proportion of commercial land, population density of residential areas, and commuter carbon emissions. There was a significant positive correlation between the number of bus lines, the degree of mixed use of land in residential areas, the proportion of residential land and industrial land in the workplace, and the carbon emissions of commutes were significantly negatively correlated. The research results are intended to provide decision-making basis for optimization and control of urban land use in the study area and low-carbon planning, and also provide reference for low-carbon planning and sustainable development of urban land use in other similar regions.