Publication Type
Journal Article
Version
publishedVersion
Publication Date
2-2023
Abstract
Transit-oriented development has been a widely accepted tool among transportation planning practitioners; however, there are concerns about the risk of increasing residential property values leading to gentrification or displacements. Therefore, it is critical to provide precise investigations of the relationships between public transit and gentrification. Although numerous studies have explored this topic, few have discussed these relationships based on detailed measurements of gentrification from a regional perspective. This study aims to fill the research gap by measuring the gentrification subcategories through a hierarchical definition based on data in the New York–Northern New Jersey–Long Island areas and applying the transit desert concept as the measurement of transit services. Through multinomial logistic regression and machine-learning approaches, findings indicate that the rate of transit deserts in economically disadvantaged neighborhoods is higher than the others. In addition, the impacts of transit services are significant in gentrification but insignificant in super-gentrification. These findings can advance the knowledge of the role of the transit service in different gentrification progresses. Based on these findings, policymakers need to be careful when allocating public transit budgets and note the effects of these investments on neighborhoods with different socioeconomic statuses.
Keywords
gentrification, super-gentrification, public transport, transit desert, inequalities
Discipline
Transportation | Urban Studies
Research Areas
Integrative Research Areas
Publication
Land
Volume
12
Issue
2
First Page
1
Last Page
18
ISSN
2073-445X
Identifier
10.3390/land12020358
Publisher
MDPI
Citation
CHEN, Yefu; XI, Hao; and JIAO, Junfeng.
What are the relationships between public transit and gentrification progress? an empirical study in the New York-Northern New Jersey-Long Island areas. (2023). Land. 12, (2), 1-18.
Available at: https://ink.library.smu.edu.sg/cis_research/504
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.3390/land12020358