Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data
Metro is an important form of public transport in Shanghai. Based on the metro card data, we conduct the cluster analysis of Shanghai metro stations according to the pattern of passenger flow changing with time. Then the characteristics of travel time and surrounding land use are investigated for di...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-10-01
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| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10095020.2020.1846463 |
| _version_ | 1818665496043585536 |
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| author | Ping Shen Linxin Ouyang Chong Wang Yin Shi Yiheng Su |
| author_facet | Ping Shen Linxin Ouyang Chong Wang Yin Shi Yiheng Su |
| author_sort | Ping Shen |
| collection | DOAJ |
| description | Metro is an important form of public transport in Shanghai. Based on the metro card data, we conduct the cluster analysis of Shanghai metro stations according to the pattern of passenger flow changing with time. Then the characteristics of travel time and surrounding land use are investigated for different types of stations to explore the relationship between urban land-use characteristics and travel activities reflected by passenger flow at metro stations. It is found that the passenger flow pattern of metro stations is closely related to the location conditions of stations and its surrounding land-use patterns. Based on various characteristics, 285 metro stations are classified into four types, including residential-oriented stations, employment-oriented stations, employment-residence-oriented stations, and integrated functional-oriented stations, reflecting the interaction between spontaneous travel behavior and urban land-use characteristics and providing a reference for optimizing the urban functional structure and the spatial allocation of facilities. |
| first_indexed | 2024-12-17T05:49:33Z |
| format | Article |
| id | doaj.art-903ba8ea86654c5cb0e9303c996d334a |
| institution | Directory Open Access Journal |
| issn | 1009-5020 1993-5153 |
| language | English |
| last_indexed | 2024-12-17T05:49:33Z |
| publishDate | 2020-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj.art-903ba8ea86654c5cb0e9303c996d334a2022-12-21T22:01:12ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532020-10-0123435236110.1080/10095020.2020.18464631846463Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use dataPing Shen0Linxin Ouyang1Chong Wang2Yin Shi3Yiheng Su4Guangzhou Urban Planning & Design Survey Research InstituteShanghai Tongji Urban Planning & Design Institute Co., LtdTongji Architectural Design (Group) Co., LtdShanghai Urban Planning and Design Research InstituteGuangzhou Urban Planning & Design Survey Research InstituteMetro is an important form of public transport in Shanghai. Based on the metro card data, we conduct the cluster analysis of Shanghai metro stations according to the pattern of passenger flow changing with time. Then the characteristics of travel time and surrounding land use are investigated for different types of stations to explore the relationship between urban land-use characteristics and travel activities reflected by passenger flow at metro stations. It is found that the passenger flow pattern of metro stations is closely related to the location conditions of stations and its surrounding land-use patterns. Based on various characteristics, 285 metro stations are classified into four types, including residential-oriented stations, employment-oriented stations, employment-residence-oriented stations, and integrated functional-oriented stations, reflecting the interaction between spontaneous travel behavior and urban land-use characteristics and providing a reference for optimizing the urban functional structure and the spatial allocation of facilities.http://dx.doi.org/10.1080/10095020.2020.1846463metro stationstravel behavior patternmetro card dataland use |
| spellingShingle | Ping Shen Linxin Ouyang Chong Wang Yin Shi Yiheng Su Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data Geo-spatial Information Science metro stations travel behavior pattern metro card data land use |
| title | Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data |
| title_full | Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data |
| title_fullStr | Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data |
| title_full_unstemmed | Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data |
| title_short | Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data |
| title_sort | cluster and characteristic analysis of shanghai metro stations based on metro card and land use data |
| topic | metro stations travel behavior pattern metro card data land use |
| url | http://dx.doi.org/10.1080/10095020.2020.1846463 |
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