How does the built environment affect intermodal transit demand across different spatiotemporal contexts
Bibliographic Data
| ID | 12294136 |
|---|---|
| Authors | Jiayou Lei (0000-0001-7173-865X, Kunming University of Science and Technology), Min He (0000-0002-2509-1450, Kunming University of Science and Technology), He Min (0000-0002-9327-4443, Kunming University of Science and Technology, corresponding author), Zhuangbin Shi (0000-0002-4379-7203, Kunming University of Science and Technology), Mingwei He (0000-0002-2718-4466, Kunming University of Science and Technology), Yang Liu (0000-0003-1220-7044, Kunming University of Science and Technology), Qian Qian (0009-0003-8045-5514, Kunming University of Science and Technology), Huimin Qian (0000-0002-5976-1213, Beijing Transportation Research Center) |
| Year | 2024 |
| Volume | 121 |
| Pages | 104033-104033 |
| Publication date | 2024-10-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Transport Geography (JOURNAL) |
| Journal identifiers | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2024.104033 |
| OpenAlex | W4403553593 |
| Language | EN |
| Citations received | 2 |
| References cited | 56 |
Affect (linguistics · Built environment · Business · Civil engineering · Public transport · Transit (satellite · Transport engineering · Engineering · Psychology · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Urban Transport and Accessibility
Application of geographically weighted regression to the direct forecasting of transit ridership at station-level
Obesity relationships with community design, physical activity, and time spent in cars
Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo
A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership
Mapping essential urban land use categories in China (Euluc-China)
Spatial variation of the urban taxi ridership using GPS data
Examining the relationship between built environment and metro ridership at station-to-station level
Greedy function approximation
Travel demand and the 3Ds
Exploring spatial variation of bike sharing trip production and attraction
Understanding commuting patterns using transit smart card data
Spatial variations in urban public ridership derived from GPS trajectories and smart card data
Examining the spatial-temporal relationship between urban built environment and taxi ridership
Interrelations between travel mode choice and trip distance
Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership
A network-distance-based geographically weighted regression model to examine spatiotemporal effects of station-level built environments on metro ridership
Machine learning approach for spatial modeling of ridesourcing demand
How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds
Exploring students' choice of active travel to school in different spatial environments
Exploring nonlinear and collective influences of regional and local built environment characteristics on travel distances by mode
Spatially varying impacts of built environment factors on rail transit ridership at station level
Revealing the determinants of the intermodal transfer ratio between metro and bus systems considering spatial variations
Exploring the Nonlinear Relationship between the Built Environment and Active Travel in the Twin Cities
What influences Metro station ridership in China? Insights from Nanjing
Understanding the impact of built environment on metro ridership using open source in Shanghai
Travel and the Built Environment
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |