The built environment and vehicle ownership modeling
Evidence from 32 diverse regions in the U.S
Bibliographic Data
| ID | 12295141 |
|---|---|
| Authors | Sadegh Sabouri (0000-0003-1130-9719, City University of Seattle), Guang Tian (0000-0002-4023-3912, University of New Orleans, corresponding author), Reid Ewing (0000-0002-4117-3456, City University of Seattle), Keunhyun Park (0000-0001-5055-7833, Utah State University), William Greene (0000-0003-3806-0685), William H Greene (0000-0003-0347-2604, New York University) |
| Year | 2021 |
| Volume | 93 |
| Pages | 103073-103073 |
| Publication date | 2021-04-29 |
| 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.2021.103073 |
| OpenAlex | W3159362175 |
| Language | EN |
| Citations received | 7 |
| References cited | 44 |
Built environment · Business · Car ownership · Consumption (sociology · Demand forecasting · Econometrics · Economics · Geography · Land use · Metropolitan area · Pooling · Public transport · Regression analysis · Traffic congestion · Transport engineering · Travel behavior · Trip generation · Variables · Vehicle miles of travel · Computer Science · Engineering · Transportation Planning and Optimization · Urban Transport and Accessibility · Vehicle emissions and performance · Marketing
Quantifying the CO2 mitigation potential from sustainable urban planning in European cities
Understanding the relationship between built environment and emerging mobility services
Estimating transit’s land-use multiplier
Choice of transport in urban and periurban zones in metropolitan area
Studying Understudied Populations’ Travel Behaviors with a Machine Learning Approach
US urban land-use reform
Spatiotemporal forecasting and clustering of vehicle ownership in India
A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels
Does TOD Need the T?
“Does Compact Development Make People Drive Less?” The Answer Is Yes
Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth
Quasi-Poisson vs. Negative Binomial Regression
A review of household dynamic vehicle ownership models
A dynamic model system of household car ownership, trip generation, and modal split
Modeling the choice continuum
The Effects of Urban Spatial Structure on Travel Demand in the United States
The Built Environment and Motor Vehicle Ownership and Use
Varying influences of the built environment on household travel in 15 diverse regions of the United States
Travel and the Built Environment
Cross-Sectional and Quasi-Panel Explorations of the Connection between the Built Environment and Auto Ownership
| Unique citing works | 7 |
|---|---|
| Citations per year | 1,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |