School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API

Active school commuting provides a convenient opportunity to promote physical activity for children, while also reducing car dependence and its associated environmental impacts. School–home distance is a critical factor in school commuting mode choice, and longer distances have been proven to increa...

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Main Authors: Anqi Liu, Keone Kelobonye, Zhenqi Zhou, Qiuxia Xu, Zhen Xu, Lingyun Han
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/9/520
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author Anqi Liu
Keone Kelobonye
Zhenqi Zhou
Qiuxia Xu
Zhen Xu
Lingyun Han
author_facet Anqi Liu
Keone Kelobonye
Zhenqi Zhou
Qiuxia Xu
Zhen Xu
Lingyun Han
author_sort Anqi Liu
collection DOAJ
description Active school commuting provides a convenient opportunity to promote physical activity for children, while also reducing car dependence and its associated environmental impacts. School–home distance is a critical factor in school commuting mode choice, and longer distances have been proven to increase the likelihood of driving. In this study, we combine open-access data acquired from Baidu Map application programming interface (API) with GIS (Geographic Information System) technology to estimate the extent to which the present school–home distances can be reduced for public middle schools in Jianye District, Nanjing, China. Based on the policies for school planning and catchment allocation, we conduct a scenario analysis of school catchment reassignment whereby residences are reassigned to the nearest school. The results show that, despite the government’s ‘attending nearby school’ policy, some students in the study area are subjected to excess school–home distances, and the overall journey-to-school trips can be reduced by 20.07%, accounting for 330.8 km. This excess distance indicates the extent to which the need for vehicle travel can be potentially reduced in favor of active school commuting and a low-carbon lifestyle. Therefore, these findings provide important insights into school siting and school catchment assignment policies seeking to facilitate active school commuting, achieve educational spatial equity and reduce car dependence.
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spelling doaj.art-adcbb6082aae4c1bac04cedf62213f3c2023-11-20T11:59:44ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-08-019952010.3390/ijgi9090520School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map APIAnqi Liu0Keone Kelobonye1Zhenqi Zhou2Qiuxia Xu3Zhen Xu4Lingyun Han5College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaFaculty of Engineering and Technology, University of Botswana, Gaborone 4775, BotswanaCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, ChinaSchool of City, Resource and Environment, Jiangsu Second Normal University, Nanjing 210013, ChinaActive school commuting provides a convenient opportunity to promote physical activity for children, while also reducing car dependence and its associated environmental impacts. School–home distance is a critical factor in school commuting mode choice, and longer distances have been proven to increase the likelihood of driving. In this study, we combine open-access data acquired from Baidu Map application programming interface (API) with GIS (Geographic Information System) technology to estimate the extent to which the present school–home distances can be reduced for public middle schools in Jianye District, Nanjing, China. Based on the policies for school planning and catchment allocation, we conduct a scenario analysis of school catchment reassignment whereby residences are reassigned to the nearest school. The results show that, despite the government’s ‘attending nearby school’ policy, some students in the study area are subjected to excess school–home distances, and the overall journey-to-school trips can be reduced by 20.07%, accounting for 330.8 km. This excess distance indicates the extent to which the need for vehicle travel can be potentially reduced in favor of active school commuting and a low-carbon lifestyle. Therefore, these findings provide important insights into school siting and school catchment assignment policies seeking to facilitate active school commuting, achieve educational spatial equity and reduce car dependence.https://www.mdpi.com/2220-9964/9/9/520school commutingscenario analysisurban informaticsactive commutingspatial equityschool catchment area
spellingShingle Anqi Liu
Keone Kelobonye
Zhenqi Zhou
Qiuxia Xu
Zhen Xu
Lingyun Han
School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
ISPRS International Journal of Geo-Information
school commuting
scenario analysis
urban informatics
active commuting
spatial equity
school catchment area
title School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
title_full School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
title_fullStr School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
title_full_unstemmed School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
title_short School Commuting Mode Shift: A Scenario Analysis for Active School Commuting Using GIS and Online Map API
title_sort school commuting mode shift a scenario analysis for active school commuting using gis and online map api
topic school commuting
scenario analysis
urban informatics
active commuting
spatial equity
school catchment area
url https://www.mdpi.com/2220-9964/9/9/520
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