Correlation between Land Use Pattern and Urban Rail Ridership Based on Bicycle-Sharing Trajectory
Bibliographic Data
| ID | 22031228 |
|---|---|
| Authors | Xiangyu Li (0009-0008-8214-4337, University of Technology Malaysia, corresponding author), Gobi Krishna Sinniah (0000-0003-3502-6772, University of Technology Malaysia), Ruiwei Li (0009-0002-1126-0855, University of Technology Malaysia), Xiaoqing Li (0009-0008-6185-4583, University of Technology Malaysia) |
| Year | 2022 |
| Volume | 11 |
| Issue | 12 |
| Pages | 589 |
| Publication date | 2022-11-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11120589 |
| OpenAlex | W4310269801 |
| Language | EN |
| References cited | 39 |
As a form of rapid mass transportation, urban rail systems have always been widely used to alleviate urban traffic congestion and reconstruct urban structures. Land use characteristics are indispensable to this system and correlate with urban ridership. Dock-less bicycle-sharing expands the station service coverage range because it integrates public transportation with an urban rail system to create a convenient travel model. Consequently, the land use pattern with dock-less bicycle-sharing is associated with urban rail ridership. This paper measures the correlation between land use and urban rail ridership based on the trajectory of dock-less bicycle-sharing, which precisely reflects the travel behavior of passengers along the trip chain. The specific relationship has been determined using the random forest model. This paper found that the land use pattern could better explain the egress ridership during morning peak hours. In particular, it could explain 48.46% of the urban rail ridership in terms of egress, but the explicability for the ingress ridership slightly decreased to 36.88%. This suggests that the land use pattern is related to urban rail ridership. However, the impact situation varies, so we should understand this relationship with greater care
Business · Civil engineering · Land use · Public transport · Traffic congestion · Transport engineering · Urban rail · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Transportation and Mobility Innovations · Urban Transport and Accessibility
Built environment effects on the integration of dockless bike-sharing and the metro
Mapping essential urban land use categories in China (Euluc-China)
Examining non-linear built environment effects on elderly’s walking
Applying a random forest method approach to model travel mode choice behavior
Random Forests
A micro-level analysis of commuting and urban land using the Simpson's index and socio-demographic factors
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Measuring the Destination Accessibility of Cycling Transfer Trips in Metro Station Areas
Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros
The impacts of the built environment on bicycle-metro transfer trips
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How land-use and urban form impact bicycle flows
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Walking, cycling, and public transport for commuting and non-commuting travels across 5 European urban regions
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Identification of land-use characteristics using bicycle sharing data
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Associations between overhead-view and eye-level urban greenness and cycling behaviors
Sejong Si (City)
Rethinking bus-to-metro accessibility in new town development
Understanding the impact of built environment on metro ridership using open source in Shanghai
Identifying different types of urban land use dynamics using Point-of-interest (POI) and Random Forest algorithm
| Citation velocity | historical |
|---|---|
| Highly cited | No |