{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T21:05:18Z","timestamp":1768683918634,"version":"3.49.0"},"reference-count":47,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,5,6]],"date-time":"2023-05-06T00:00:00Z","timestamp":1683331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202106270077"],"award-info":[{"award-number":["202106270077"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi12050193","type":"journal-article","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T02:03:31Z","timestamp":1683511411000},"page":"193","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The Non-Linear Influence of Built Environment on the School Commuting Metro Ridership: The Case in Wuhan, China"],"prefix":"10.3390","volume":"12","author":[{"given":"Jinming","family":"Yan","sequence":"first","affiliation":[{"name":"Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510030, China"}]},{"given":"Qiuyu","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Urban Design, Wuhan University, Wuhan 430072, China"}]},{"given":"Jingyi","family":"Feng","sequence":"additional","affiliation":[{"name":"Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510030, China"}]},{"given":"Jianjun","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510030, China"}]},{"given":"Yiwen","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Urban Design, Wuhan University, Wuhan 430072, China"}]},{"given":"Xuexin","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Urban Design, Wuhan University, Wuhan 430072, China"},{"name":"Department of City and Regional Planning, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1001\/archpediatrics.2010.244","article-title":"Active Commuting to School and Cognitive Performance in Adolescents: The AVENA Study","volume":"165","author":"Ruiz","year":"2011","journal-title":"Arch. 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