The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China

Although many studies have investigated the non-linear relationship between the built environment and rail patronage, it remains unclear whether this influence is equally applicable to primary and secondary school students due to their physiological characteristics and cognitive limitations. This st...

Full description

Saved in:
Bibliographic Details
Published inISPRS international journal of geo-information Vol. 12; no. 5; p. 193
Main Authors Yan, Jinming, Wan, Qiuyu, Feng, Jingyi, Wang, Jianjun, Hu, Yiwen, Yan, Xuexin
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2023
Subjects
Built environment
Cognitive ability
Commuting
GBDT
Land use
Locomotives
Mixtures
non-linear
Optimization
Physiological aspects
Population density
Public transportation
Rail transportation
Research methodology
Ridership
school commuting
School construction
Secondary school students
Secondary schools
Service facilities
Traffic congestion
Transportation planning
Urban environments
South Korea
China
Online AccessGet full text

Cover

More Information
Summary:Although many studies have investigated the non-linear relationship between the built environment and rail patronage, it remains unclear whether this influence is equally applicable to primary and secondary school students due to their physiological characteristics and cognitive limitations. This study applies the GBDT model to Wuhan student metro swipe data in order to investigate the relative importance and non-linear association of the built environment on the school-commuting metro ridership. The results show that the variable with the greatest predictive power is the number of living service facilities followed by the number of intersections, and the degree of land-use mixture. All of the built environment variables had non-linear associations with the school-commuting ridership, and the greatest attraction to the school-commuting metro ridership occurred when the number of living service facilities was 500, the number of intersections was 36, and the degree of land-use mixture was 0.8. These findings can help planners to prioritize land-use optimization and the effective range of land-use indicators when developing child-friendly rail transport policies.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi12050193