Analysis of school commuting behavior differences based on China family panel studies

School commuting is a crucial aspect of children's daily routines and family travel. The choice of school travel mode significantly impacts children's safety, convenience, and the optimization of urban transportation systems. Utilizing data from the 2020 China family panel studies (CFPS),...

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Main Authors: HUANG Yue, GAN Hongcheng, WANG Xinyu, LU Huan, WEN Jinpeng
Format: Article
Language:English
Published: Science Press (China Science Publishing & Media Ltd.) 2024-03-01
Series:Shenzhen Daxue xuebao. Ligong ban
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Online Access:https://journal.szu.edu.cn/en/#/digest?ArticleID=2609
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author HUANG Yue
GAN Hongcheng
WANG Xinyu
LU Huan
WEN Jinpeng
author_facet HUANG Yue
GAN Hongcheng
WANG Xinyu
LU Huan
WEN Jinpeng
author_sort HUANG Yue
collection DOAJ
description School commuting is a crucial aspect of children's daily routines and family travel. The choice of school travel mode significantly impacts children's safety, convenience, and the optimization of urban transportation systems. Utilizing data from the 2020 China family panel studies (CFPS), this study employs a multinomial logit model to comprehensively analyze differences in factors such as individual characteristics, family attributes, school features and geographical characteristics in school travel mode selection. The results indicate that geographical factors have the greatest influence on school travel mode choice. Students in eastern China tend to prefer motorized transportation and bicycles; while students in western China are more inclined to walk; and those from the northeast region are more likely to choose motorized transportation and school buses. In rural communes and small cities, the use of electric bicycles is significantly higher than that in large and medium-sized cities. Moreover, the likelihood of using school buses is also higher in rural communes. Students attending private schools exhibit a significantly higher likelihood of using school buses than their counterparts attending public schools. Additionally, this study uncovers some influences of individual characteristics and family features. For example, overweight children tend to rely more on school buses and electric bikes. Gender does not show a significant effect on mode choice for school commuting. Students from larger families are more likely to walk to school. In conclusion, the study provides insights aimed at promoting active school travel and transportation equity.
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series Shenzhen Daxue xuebao. Ligong ban
spelling doaj-art-fb17136fa58a41cb91aa48a8ab0cdb672025-08-20T03:02:55ZengScience Press (China Science Publishing & Media Ltd.)Shenzhen Daxue xuebao. Ligong ban1000-26182024-03-0141222123110.3724/SP.J.1249.2024.022211000-2618(2024)02-0221-11Analysis of school commuting behavior differences based on China family panel studiesHUANG Yue0GAN Hongcheng1WANG Xinyu2LU Huan3WEN Jinpeng4Business School, University of Shanghai for Science and Technology, Shanghai 200093, P.R.ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, P.R.ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, P.R.ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, P.R.ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, P.R.ChinaSchool commuting is a crucial aspect of children's daily routines and family travel. The choice of school travel mode significantly impacts children's safety, convenience, and the optimization of urban transportation systems. Utilizing data from the 2020 China family panel studies (CFPS), this study employs a multinomial logit model to comprehensively analyze differences in factors such as individual characteristics, family attributes, school features and geographical characteristics in school travel mode selection. The results indicate that geographical factors have the greatest influence on school travel mode choice. Students in eastern China tend to prefer motorized transportation and bicycles; while students in western China are more inclined to walk; and those from the northeast region are more likely to choose motorized transportation and school buses. In rural communes and small cities, the use of electric bicycles is significantly higher than that in large and medium-sized cities. Moreover, the likelihood of using school buses is also higher in rural communes. Students attending private schools exhibit a significantly higher likelihood of using school buses than their counterparts attending public schools. Additionally, this study uncovers some influences of individual characteristics and family features. For example, overweight children tend to rely more on school buses and electric bikes. Gender does not show a significant effect on mode choice for school commuting. Students from larger families are more likely to walk to school. In conclusion, the study provides insights aimed at promoting active school travel and transportation equity.https://journal.szu.edu.cn/en/#/digest?ArticleID=2609traffic engineeringschool commuting travelmode choicegeographic regional attributeschina family panel studiesmultinomial logit model
spellingShingle HUANG Yue
GAN Hongcheng
WANG Xinyu
LU Huan
WEN Jinpeng
Analysis of school commuting behavior differences based on China family panel studies
Shenzhen Daxue xuebao. Ligong ban
traffic engineering
school commuting travel
mode choice
geographic regional attributes
china family panel studies
multinomial logit model
title Analysis of school commuting behavior differences based on China family panel studies
title_full Analysis of school commuting behavior differences based on China family panel studies
title_fullStr Analysis of school commuting behavior differences based on China family panel studies
title_full_unstemmed Analysis of school commuting behavior differences based on China family panel studies
title_short Analysis of school commuting behavior differences based on China family panel studies
title_sort analysis of school commuting behavior differences based on china family panel studies
topic traffic engineering
school commuting travel
mode choice
geographic regional attributes
china family panel studies
multinomial logit model
url https://journal.szu.edu.cn/en/#/digest?ArticleID=2609
work_keys_str_mv AT huangyue analysisofschoolcommutingbehaviordifferencesbasedonchinafamilypanelstudies
AT ganhongcheng analysisofschoolcommutingbehaviordifferencesbasedonchinafamilypanelstudies
AT wangxinyu analysisofschoolcommutingbehaviordifferencesbasedonchinafamilypanelstudies
AT luhuan analysisofschoolcommutingbehaviordifferencesbasedonchinafamilypanelstudies
AT wenjinpeng analysisofschoolcommutingbehaviordifferencesbasedonchinafamilypanelstudies