Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China
Students' commute mode choices have been recognized as an important factor affecting the physical and psychological health levels of children and urban traffic performance in peak hours. The influential patterns between most of the factors and students' commute mode vary depending on the c...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8636499/ |
| _version_ | 1818913124652154880 |
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| author | Hui Xiong Lu Ma Chong Wei Xuedong Yan Sivaramakrishnan Srinivasan Jinchuan Chen |
| author_facet | Hui Xiong Lu Ma Chong Wei Xuedong Yan Sivaramakrishnan Srinivasan Jinchuan Chen |
| author_sort | Hui Xiong |
| collection | DOAJ |
| description | Students' commute mode choices have been recognized as an important factor affecting the physical and psychological health levels of children and urban traffic performance in peak hours. The influential patterns between most of the factors and students' commute mode vary depending on the characteristics of the city. This paper seeks to reveal such patterns specifically for elementary schools students in Beijing, China, as those students' commute behaviors have attracted considerable attention from society. The data from the Beijing School Commute Survey conducted in December 2014 and January 2015 were adopted. To account for the unobserved heterogeneity, a finite mixture multinomial logit (FMMNL) model was developed. Compared with the conventional MNL model, the FMMNL is superior due to the smaller AIC and BIC values. More importantly, the FMMNL model is flexible and able to detect some complicated mode choice behaviors. For example, the results of the FMMNL model indicate that there are two types of students, those who tend to use a car and those who tend to use a bicycle, as their grade increases. Such a heterogeneous pattern is difficult to be detected by conventional models. The finer results produced by the FMMNL model would be the references for policymakers to design more targeted policies. Findings in this paper could be the references to other cities in China and the world. |
| first_indexed | 2024-12-19T23:25:30Z |
| format | Article |
| id | doaj.art-4fffb8957a734151aadc8e390fa18825 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T23:25:30Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4fffb8957a734151aadc8e390fa188252022-12-21T20:01:52ZengIEEEIEEE Access2169-35362019-01-017222352224510.1109/ACCESS.2019.28978908636499Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, ChinaHui Xiong0Lu Ma1https://orcid.org/0000-0002-4492-6636Chong Wei2https://orcid.org/0000-0002-6703-3419Xuedong Yan3Sivaramakrishnan Srinivasan4Jinchuan Chen5Laboratory of Digital Manufacturing, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaMinistry of Transport Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, ChinaMinistry of Transport Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, ChinaMinistry of Transport Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, ChinaDepartment of Civil and Coastal Engineering, University of Florida, Gainesville, FL, USAPlanning Division, Beijing Municipal Commission of Transport, Beijing, ChinaStudents' commute mode choices have been recognized as an important factor affecting the physical and psychological health levels of children and urban traffic performance in peak hours. The influential patterns between most of the factors and students' commute mode vary depending on the characteristics of the city. This paper seeks to reveal such patterns specifically for elementary schools students in Beijing, China, as those students' commute behaviors have attracted considerable attention from society. The data from the Beijing School Commute Survey conducted in December 2014 and January 2015 were adopted. To account for the unobserved heterogeneity, a finite mixture multinomial logit (FMMNL) model was developed. Compared with the conventional MNL model, the FMMNL is superior due to the smaller AIC and BIC values. More importantly, the FMMNL model is flexible and able to detect some complicated mode choice behaviors. For example, the results of the FMMNL model indicate that there are two types of students, those who tend to use a car and those who tend to use a bicycle, as their grade increases. Such a heterogeneous pattern is difficult to be detected by conventional models. The finer results produced by the FMMNL model would be the references for policymakers to design more targeted policies. Findings in this paper could be the references to other cities in China and the world.https://ieeexplore.ieee.org/document/8636499/Big dataelementary school commutefinite mixture modeltransportation policy |
| spellingShingle | Hui Xiong Lu Ma Chong Wei Xuedong Yan Sivaramakrishnan Srinivasan Jinchuan Chen Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China IEEE Access Big data elementary school commute finite mixture model transportation policy |
| title | Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China |
| title_full | Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China |
| title_fullStr | Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China |
| title_full_unstemmed | Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China |
| title_short | Exploring Behavioral Heterogeneities of Elementary School Students’ Commute Mode Choices Through the Urban Travel Big Data of Beijing, China |
| title_sort | exploring behavioral heterogeneities of elementary school students x2019 commute mode choices through the urban travel big data of beijing china |
| topic | Big data elementary school commute finite mixture model transportation policy |
| url | https://ieeexplore.ieee.org/document/8636499/ |
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