首页|Exploring zonal heterogeneities of primary school students' commute-mode choices through a geographically weighted regression model
Exploring zonal heterogeneities of primary school students' commute-mode choices through a geographically weighted regression model
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
Commuting is an important part of primary school students'travel behavior,which has been concerned for a long time.We found that the commute-mode choice behavior of primary school students in the context of regional segmentation shows strong characteristics in space,but has not yet been considered in traditional research.To fill this gap,this study summarizes the commute-mode choices of primary school students with different character-istics based on the Beijing School Commute Survey.And the geographically weighted re-gression(GWR)model is built to analyze the zonal heterogeneity of the impact of personal characteristics,family factors and school factors on the primary school students'commute-mode choices from a low-carbon perspective.The results demonstrate that the possibility of primary school students choosing low-carbon commuting modes is positively correlated with the grade,commuting time,commuting escort type and housing category,but is inversely related with the commuting distance and the distance from the school to the city center.The coefficient estimates of explanatory variables vary across regions.Finally,we put forward policy suggestions regarding promoting the low-carbon commuting structure,such as devel-oping the urban slow traffic system,which serve as a reference for policymakers.
primary school studentsschool commutemode choicezonal heterogeneitygeographically weighted regression
WU Dawei、MA Lu、YAN Xuedong
展开 >
School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China
Ministry of Transport Key Laboratory of Transport Industry of Big Data Application Technologies for Com-prehensive Transport,Beijing 100044,China
NETL
NSTL
万方数据
