TOD typology and station area vibrancy: An interpretable machine learning approach

Huijun Pan and Yu Huang

Transportation Research Part A: Policy and Practice, 2024, vol. 186, issue C

Abstract: Transit-oriented development (TOD) has great potential to foster vibrant communities through improved access to activities around station areas. Several studies have investigated station area vibrancy and associations with TOD built environment (BE). However, few have considered the nonlinear impacts and varying relationships across station types. Taking Nanjing, China as a case study, we aim to 1) identify types of metro station areas (MSAs) with a “node-place-functionality” model and 2) unravel the nonlinear BE-vibrancy relationships and variations across MSA types. We find that five types best characterize the TOD built environment and present different levels of vibrancy indicated by the Baidu Heat Index. The GBDT (gradient boosting decision tree) models reveal transit accessibility, intersection density and commercial service density as the top three predictors of daytime and nighttime vibrancy, all presenting nonlinear and threshold effects. We also find the predicting power of BE features differs significantly across MSA types. The nuanced analyses provide context-specific planning guidance.

Keywords: TOD; TOD typology; Built environment; Urban vibrancy; Gradient boosting decision tree; Shapley additive explanations (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856424001988
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:186:y:2024:i:c:s0965856424001988

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tra.2024.104150

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().