Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance
As a sustainable mode of transportation, subways bring great convenience to the society. Although there have been many studies examining the relationship between the built environment and the station-level ridership, those studies focused mainly on the ridership, which is defined as the number of tr...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/7542560 |
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| author | Hongtai Yang Zhihao Zhao Chaozhe Jiang Yi Wen Malik Muneeb Abid |
| author_facet | Hongtai Yang Zhihao Zhao Chaozhe Jiang Yi Wen Malik Muneeb Abid |
| author_sort | Hongtai Yang |
| collection | DOAJ |
| description | As a sustainable mode of transportation, subways bring great convenience to the society. Although there have been many studies examining the relationship between the built environment and the station-level ridership, those studies focused mainly on the ridership, which is defined as the number of trips for each station. While ridership is an important indicator for evaluating subway demand, passenger-distance is another critical indicator that incorporates distance into demand evaluation, which has not yet been fully explored. To fill this gap, this paper investigates the relationship between the built environment around stations and the station-level passenger-distance (SLPD). As noted in previous studies, the relationship between the built environment and travel demand can vary by space. Therefore, a geographically weighted regression (GWR) model and a mixed geographically weighted regression (MGWR) model have been used to explore this spatially varying relationship using Chengdu, China, as an example case. The results were compared with that of an ordinary least squares (OLS) model. The comparison shows that the MGWR model that considers both global and local variables has the best goodness of fit. Results also show that 11 of the 25 potential variables are significantly related to SLPD. The accessibility of the station, station type, such as transfer or terminal, number of bus stops, number of restaurants, density of building area, density of the national road network, and density of the provincial road network, all have a positive correlation with SLPD. Meanwhile, the variables, whether it is a newly opened subway station, density of living points of interest (POIs), and density of railroad network, are all negatively correlated with SLPD. Ten of the eleven significant variables (except accessibility) have spatially varying relationships with SLPD. These findings can serve a useful reference for transportation planners for the demand evaluation. |
| format | Article |
| id | doaj-art-6f096fd52bb44fe3be20fed90b30c3ef |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-6f096fd52bb44fe3be20fed90b30c3ef2025-02-03T01:00:13ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/7542560Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-DistanceHongtai Yang0Zhihao Zhao1Chaozhe Jiang2Yi Wen3Malik Muneeb Abid4School of Transportation and LogisticsSchool of Transportation and LogisticsSchool of Transportation and LogisticsDepartment of Civil and Environmental EngineeringDepartment of Civil EngineeringAs a sustainable mode of transportation, subways bring great convenience to the society. Although there have been many studies examining the relationship between the built environment and the station-level ridership, those studies focused mainly on the ridership, which is defined as the number of trips for each station. While ridership is an important indicator for evaluating subway demand, passenger-distance is another critical indicator that incorporates distance into demand evaluation, which has not yet been fully explored. To fill this gap, this paper investigates the relationship between the built environment around stations and the station-level passenger-distance (SLPD). As noted in previous studies, the relationship between the built environment and travel demand can vary by space. Therefore, a geographically weighted regression (GWR) model and a mixed geographically weighted regression (MGWR) model have been used to explore this spatially varying relationship using Chengdu, China, as an example case. The results were compared with that of an ordinary least squares (OLS) model. The comparison shows that the MGWR model that considers both global and local variables has the best goodness of fit. Results also show that 11 of the 25 potential variables are significantly related to SLPD. The accessibility of the station, station type, such as transfer or terminal, number of bus stops, number of restaurants, density of building area, density of the national road network, and density of the provincial road network, all have a positive correlation with SLPD. Meanwhile, the variables, whether it is a newly opened subway station, density of living points of interest (POIs), and density of railroad network, are all negatively correlated with SLPD. Ten of the eleven significant variables (except accessibility) have spatially varying relationships with SLPD. These findings can serve a useful reference for transportation planners for the demand evaluation.http://dx.doi.org/10.1155/2022/7542560 |
| spellingShingle | Hongtai Yang Zhihao Zhao Chaozhe Jiang Yi Wen Malik Muneeb Abid Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance Journal of Advanced Transportation |
| title | Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance |
| title_full | Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance |
| title_fullStr | Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance |
| title_full_unstemmed | Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance |
| title_short | Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance |
| title_sort | spatially varying relation between built environment and station level subway passenger distance |
| url | http://dx.doi.org/10.1155/2022/7542560 |
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