Estimating spatial patterns of commute mode preference in Beijing
In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be use...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Regional Studies, Regional Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21681376.2020.1806104 |
| _version_ | 1818419413810937856 |
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| author | Jiaoe Wang Jie Huang Fangye Du |
| author_facet | Jiaoe Wang Jie Huang Fangye Du |
| author_sort | Jiaoe Wang |
| collection | DOAJ |
| description | In the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute mode preference by taxi at a fine resolution in Beijing. This work indicates how the preference for taxis can be seen in the north-east of the inner city, but not around employment centres. Equally, a complementary relationship is found between a preference for taxis and public transit that provides useful insights into modal choice at an intra-urban scale. These findings are useful in urban planning and transport management. |
| first_indexed | 2024-12-14T12:38:11Z |
| format | Article |
| id | doaj.art-d59483e11b7d46f0807254087ed51fdc |
| institution | Directory Open Access Journal |
| issn | 2168-1376 |
| language | English |
| last_indexed | 2024-12-14T12:38:11Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Regional Studies, Regional Science |
| spelling | doaj.art-d59483e11b7d46f0807254087ed51fdc2022-12-21T23:00:59ZengTaylor & Francis GroupRegional Studies, Regional Science2168-13762020-01-017138238610.1080/21681376.2020.18061041806104Estimating spatial patterns of commute mode preference in BeijingJiaoe Wang0Jie Huang1Fangye Du2Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; and College of Resources and Environment, University of Chinese Academy of SciencesKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; and College of Resources and Environment, University of Chinese Academy of SciencesIn the era of big data, multiple data sources have been employed in the study of land use and transportation for urban and regional planning purposes. This paper offers an example of how multiple data sources (e.g., mobile signalling data, taxi trips and transit trips from smartcard data) can be used to estimate the spatial pattern of commute mode preference in Beijing, China. The comparative analysis investigates the spatial pattern of commute mode preference by taxi at a fine resolution in Beijing. This work indicates how the preference for taxis can be seen in the north-east of the inner city, but not around employment centres. Equally, a complementary relationship is found between a preference for taxis and public transit that provides useful insights into modal choice at an intra-urban scale. These findings are useful in urban planning and transport management.http://dx.doi.org/10.1080/21681376.2020.1806104mode preferencecommute tripbig dataurban planningtransport planning |
| spellingShingle | Jiaoe Wang Jie Huang Fangye Du Estimating spatial patterns of commute mode preference in Beijing Regional Studies, Regional Science mode preference commute trip big data urban planning transport planning |
| title | Estimating spatial patterns of commute mode preference in Beijing |
| title_full | Estimating spatial patterns of commute mode preference in Beijing |
| title_fullStr | Estimating spatial patterns of commute mode preference in Beijing |
| title_full_unstemmed | Estimating spatial patterns of commute mode preference in Beijing |
| title_short | Estimating spatial patterns of commute mode preference in Beijing |
| title_sort | estimating spatial patterns of commute mode preference in beijing |
| topic | mode preference commute trip big data urban planning transport planning |
| url | http://dx.doi.org/10.1080/21681376.2020.1806104 |
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