Wei Li
Texas A&M University
29 Papers
11 Citations
Wei Li is an academic researcher from Texas A&M University. The author has contributed to research in topics: Travel behavior & Regression analysis. The author has an hindex of 13, co-authored 29 publications. Previous affiliations of Wei Li include University of Southern California & University of California, Irvine.
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Papers
Estimating the value of urban green areas: A hedonic pricing analysis of the single family housing market in Los Angeles, CA
Jean-Daniel Saphores,Wei Li +1 more
TL;DR: The authors analyzed 20,660 transactions of single family detached houses sold in 2003 and 2004 in the city of Los Angeles, CA, to estimate the value of urban trees, irrigated grass, and non-irrigated grass areas.
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Will autonomous vehicles change auto commuters’ value of travel time?
TL;DR: In this paper, the authors examine the potential impact of autonomous vehicles on commuters' value of travel time (VOTT) in small and medium-sized metropolitan areas, concerning the spatial variability across urban areas, suburbs, and rural areas.
103
Assessing Benefits of Neighborhood Walkability to Single-Family Property Values A Spatial Hedonic Study in Austin, Texas
TL;DR: In this article, the authors investigated the impact of neighborhood walkability, measured by Street Smart Walk Score and sidewalk density, on property values by analyzing the 2010-2012 single-family home sale transactions in Austin, Texas.
91
Rail transit investment and property values: An old tale retold
Haotian Zhong,Wei Li +1 more
TL;DR: In this article, a spatial hedonic study examines how the property value effects of rail transit can become volatile depending on housing markets, rail transit technologies, near-station land uses and transit development phases.
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Disparities in exposure to automobile and truck traffic and vehicle emissions near the Los Angeles-Long Beach port complex.
Douglas Houston,Wei Li,Jun Wu +2 more
TL;DR: Assessment of how traffic and mobile-source air pollution impacts are distributed across racial/ethnic and socioeconomically diverse groups in port-adjacent communities in southern Los Angeles County found that a higher percentage of nearby Black and Asian/Pacific Islander residents was associated with higher exposure.
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