Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data
Since metropolitan cities are broadening as a result of urban sprawl, multimodal transportation systems have been adopted to fulfill the connection between the suburban and urban areas. The transportation system is being revamped around the transit center in the urban area to facilitate access to th...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8819791 |
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| author | Hyunjun Hwang Shin-Hyung Cho Dong-Kyu Kim Seung-Young Kho |
| author_facet | Hyunjun Hwang Shin-Hyung Cho Dong-Kyu Kim Seung-Young Kho |
| author_sort | Hyunjun Hwang |
| collection | DOAJ |
| description | Since metropolitan cities are broadening as a result of urban sprawl, multimodal transportation systems have been adopted to fulfill the connection between the suburban and urban areas. The transportation system is being revamped around the transit center in the urban area to facilitate access to the downtown area from the suburbs. Studies are being conducted to improve the accessibility of public transportation by using the concept of hub-and-spoke. In this study, we develop a coverage area index (CAI) to assess the impact of a transit center on access to urban areas from the suburbs quantitatively. The concept of network centrality and the kernel density function is used to evaluate the extent of the influence of a transit center. The smart card data in the Seoul metropolitan area are used to analyze the CAI. Six transit centers in the Seoul metropolitan area are investigated to compare the coverage area to the transit center. The bandwidth of the kernel density function is set as 2 km considering the size and influence of each region. We evaluate six transit centers using the CAIs in Seoul compared to the index characteristics with transit accessibility (TA) index from previous studies. The CAI is possible to identify the incompetent centers, alternative routes to solve the problems of overcrowding on the centers, and areas with insufficient supplies of regional transit. |
| format | Article |
| id | doaj-art-180cf1147dc14567b264df309cfbf9d3 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-180cf1147dc14567b264df309cfbf9d32025-02-03T06:05:35ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88197918819791Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card DataHyunjun Hwang0Shin-Hyung Cho1Dong-Kyu Kim2Seung-Young Kho3Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Republic of KoreaSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USADepartment of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Republic of KoreaDepartment of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Republic of KoreaSince metropolitan cities are broadening as a result of urban sprawl, multimodal transportation systems have been adopted to fulfill the connection between the suburban and urban areas. The transportation system is being revamped around the transit center in the urban area to facilitate access to the downtown area from the suburbs. Studies are being conducted to improve the accessibility of public transportation by using the concept of hub-and-spoke. In this study, we develop a coverage area index (CAI) to assess the impact of a transit center on access to urban areas from the suburbs quantitatively. The concept of network centrality and the kernel density function is used to evaluate the extent of the influence of a transit center. The smart card data in the Seoul metropolitan area are used to analyze the CAI. Six transit centers in the Seoul metropolitan area are investigated to compare the coverage area to the transit center. The bandwidth of the kernel density function is set as 2 km considering the size and influence of each region. We evaluate six transit centers using the CAIs in Seoul compared to the index characteristics with transit accessibility (TA) index from previous studies. The CAI is possible to identify the incompetent centers, alternative routes to solve the problems of overcrowding on the centers, and areas with insufficient supplies of regional transit.http://dx.doi.org/10.1155/2020/8819791 |
| spellingShingle | Hyunjun Hwang Shin-Hyung Cho Dong-Kyu Kim Seung-Young Kho Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data Journal of Advanced Transportation |
| title | Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data |
| title_full | Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data |
| title_fullStr | Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data |
| title_full_unstemmed | Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data |
| title_short | Development of a Model for Evaluating the Coverage Area of Transit Center Using Smart Card Data |
| title_sort | development of a model for evaluating the coverage area of transit center using smart card data |
| url | http://dx.doi.org/10.1155/2020/8819791 |
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