A comparative analysis of cross-sectional study and natural experiment in rail transit-travel behavior research
A case study in Wuhan, China
Bibliographic Data
| ID | 12294530 |
|---|---|
| Authors | Jingjing Wang (0000-0002-7962-606X, Wuhan University), Yi Lü (0000-0001-7614-6661, City University of Hong Kong, corresponding author), Mi Diao (0000-0002-0389-4199, Tongji University), Ye Liu (0000-0003-1002-0358, Sun Yat-sen University) |
| Year | 2024 |
| Volume | 121 |
| Pages | 104035-104035 |
| Publication date | 2024-10-25 |
| 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.2024.104035 |
| OpenAlex | W4403775184 |
| Language | EN |
| Citations received | 3 |
| References cited | 29 |
China · Geography · Public transport · Rail transit · Transit (satellite · Transport engineering · Engineering · Human Mobility and Location-Based Analysis · Transportation Planning and Optimization · Urban Transport and Accessibility
Travel and the Built Environment
Does TOD Need the T?
Do Not Cross Me
Cross-Sectional Studies
The Built Environment as a Determinant of Physical Activity
A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003
Natural Experiments
The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas
A two-dimensional propensity score matching method for longitudinal quasi-experimental studies
Can bicycle relieve overcrowded metro? Managing short-distance travel in Beijing
Natural experiment methodology for research
Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership
Examining the non-linear effects of transit accessibility on daily trip duration
Influence of a new rail transit line on travel behavior
Reducing car use
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |