Investigating influences of multiscale built environment on car ownership behavior based on gradient boosting decision trees

doi:10.13229/j.cnki.jdxbgxb20200844

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	Investigating influences of multiscale built environment on car ownership behavior based on gradient boosting decision trees
	Yin, Chao-Ying 2; Shao, Chun-Fu 1; Huang, Zhao-Guo 3; Wang, Xiao-Quan 1; Wang, Sheng-You 1
刊名	Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition)
	2022-03-01
卷号	52 期号:3 页码:572-577
关键词	Economics Surveys Built environment Car ownership Different spatial scale Engineering of communicaiton and transportation system Environment characteristic Gradient boosting Gradient boosting decision tree Multi-scales Spatial scale Transportation system
ISSN号	1671-5497
DOI	10.13229/j.cnki.jdxbgxb20200844
英文摘要	In order to quantify the influences of the built environment at different spatial scales on car ownership, a gradient boosting decision tree model is applied to investigate the relative importance of the built environment at both city and community levels in this study. The survey data from China Labor-force Dynamics Survey is used to conduct the empirical analysis. The results show that the individual socio-economic status is the most influential among three categories of factors with collective importance of 53.24%. With the collective importance of 30.45%, the built environment characteristics at the community level have greater influences than the built environment characteristics at the city level. For the specific characteristics, household income is the most influential factor with the relative importance of 31.66%. All built environment characteristics have influences that are greater than 1.5%. Therefore, it is important to optimize the built environment at different spatial scales to deter the increase of car ownership. © 2022, Jilin University Press. All right reserved.
语种	中文
出版者	Editorial Board of Jilin University
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/157952]
专题	土木工程学院
作者单位	1.Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing; 100044, China; 2.College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing; 210037, China; 3.School of Civil Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Yin, Chao-Ying,Shao, Chun-Fu,Huang, Zhao-Guo,et al. Investigating influences of multiscale built environment on car ownership behavior based on gradient boosting decision trees[J]. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition),2022,52(3):572-577.
APA	Yin, Chao-Ying,Shao, Chun-Fu,Huang, Zhao-Guo,Wang, Xiao-Quan,&Wang, Sheng-You.(2022).Investigating influences of multiscale built environment on car ownership behavior based on gradient boosting decision trees.Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition),52(3),572-577.
MLA	Yin, Chao-Ying,et al."Investigating influences of multiscale built environment on car ownership behavior based on gradient boosting decision trees".Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 52.3(2022):572-577.