Exploring the built environment impacts on Online Car-hailing waiting time
An empirical study in Beijing
Bibliographic Data
| ID | 7150556 |
|---|---|
| Authors | Jianhui Lai (0000-0003-3189-8872, Beijing University of Technology), Yanyan Wang (0000-0002-6312-206X, Beijing University of Technology), Yang (0000-0002-9787-5617), Yang Yang (0000-0002-3705-7612, Beijing University of Technology, corresponding author), Xiaojie Wu (0000-0001-6897-5910, Beijing University of Technology), Yue Zhang (0000-0003-1198-882X, Beijing University of Technology) |
| Year | 2025 |
| Volume | 115 |
| Pages | 102205 |
| Publication date | 2025-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers Environment and Urban Systems (JOURNAL) |
| Journal identifiers | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2024.102205 |
| OpenAlex | W4404028266 |
| Language | EN |
| Citations received | 5 |
| References cited | 42 |
Advertising · Archaeology · Beijing · Business · China · Empirical research · Environmental planning · Environmental resource management · Geography · Statistics · Environmental Science · Mathematics · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility
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What influences travelers to use Uber? Exploring the factors affecting the adoption of on-demand ride services in California
Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco
Extracting urban functional regions from points of interest and human activities on location‐based social networks
Greedy function approximation
Ridesharing accessibility from the human eye
Road network structure and ride-sharing accessibility
Exploring built environment factors that influence the market share of ridesourcing service
Does polycentric and compact development alleviate urban traffic congestion? A case study of 98 Chinese cities
Influencing factors and heterogeneity in ridership of traditional and app-based taxi systems
How Does the Urban Built Environment Affect Online Car-Hailing Ridership Intensity among Different Scales
Trends in Taxi Use and the Advent of Ridehailing, 1995–2017
Crowdsourcing functions of the living city from Twitter and Foursquare data
How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China
Transportation network company wait times in Greater Seattle, and relationship to socioeconomic indicators
Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression
Analysis on spatiotemporal urban mobility based on online car-hailing data
Causality, not just correlation
Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP
Understanding the impact of the built environment on ride-hailing from a spatio-temporal perspective
A data-driven perspective for sensing urban functional images
The impacts of built environment on ridesourcing demand
| Unique citing works | 5 |
|---|---|
| Citations per year | 5 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |