910
Views
9
CrossRef citations to date
0
Altmetric
ARTICLES

Assessing the efficiency of integrated public transit stations based on the concept of transit-oriented development

ORCID Icon & ORCID Icon
Pages 1459-1489 | Received 07 Dec 2019, Accepted 20 Mar 2020, Published online: 20 Apr 2020
 

Abstract

Encouraging a modal shift from cars to transit by employing Transit-Oriented Development (TOD) strategies have gained attention owing to the rising concerns about sustainability. Despite its benefits, the assessment of public transit station efficiency with regards to TOD planning concepts is limited. By employing TOD and network centrality measures as inputs, this study explores the efficiency of transit stations using a robust bootstrap Data Envelopment Analysis (DEA). In the first stage, bias-corrected efficiency scores are estimated and used in truncated regression analysis in the second stage to identify instrumental determinants of station efficiency. Results indicate that an increase in population, land-use diversity and the number of bus stops around subway stations improve efficiency, whereas transfer distance was negatively correlated with station performance. The findings provide useful insights into how transport planners can modify existing station conditions to derive the benefits of TOD and to improve the quality of citizens’ lives.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017R1C1B2010175).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 594.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.