TOD-related features and station-level ridership: insights from the Jakarta Metropolitan Area, Indonesia

Abstract This paper contributes to the extensive literature on Transit-Oriented Development (TOD) by examining the association between TOD-related features and station-level ridership using the Commuter Rail Line system in the Jakarta Metropolitan Area (JMA), Indonesia, as a case study. We empirically test this hypothesized association through a series of statistical analyses, drawing from the Direct Ridership Model (DRM) literature. We incorporate indicators of station-level built environment as TOD-related features, along with socio-demographics and transit service characteristics as controls, to predict station-level ridership. Owing to the spatial dependency nature of the data, our results primarily focus on spatial regressions, suggesting that employment density and land-use entropy are consistent TOD-related features influencing station-level ridership. The paper concludes with a discussion of policy insights based on the findings, considering governmental initiatives in developing TOD policies.

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Publication Details

Journal
Public Transport
Published
2024-09-23
DOI
https://doi.org/10.1007/s12469-024-00369-4
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.68

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article

TOD-related features and station-level ridership: insights from the Jakarta Metropolitan Area, Indonesia

Alyas Widita, Ikaputra, Dyah Titisari Widyastuti
1 citations
Public Transport
Urban Transport and Accessibility
0.68
article

TOD-related features and station-level ridership: insights from the Jakarta Metropolitan Area, Indonesia

Alyas Widita, Ikaputra, Dyah Titisari Widyastuti
article en
1 citations

Abstract

Abstract This paper contributes to the extensive literature on Transit-Oriented Development (TOD) by examining the association between TOD-related features and station-level ridership using the Commuter Rail Line system in the Jakarta Metropolitan Area (JMA), Indonesia, as a case study. We empirically test this hypothesized association through a series of statistical analyses, drawing from the Direct Ridership Model (DRM) literature. We incorporate indicators of station-level built environment as TOD-related features, along with socio-demographics and transit service characteristics as controls, to predict station-level ridership. Owing to the spatial dependency nature of the data, our results primarily focus on spatial regressions, suggesting that employment density and land-use entropy are consistent TOD-related features influencing station-level ridership. The paper concludes with a discussion of policy insights based on the findings, considering governmental initiatives in developing TOD policies.

Public TransportVol. 17(2)
Universitas Gadjah Mada (ID), Universitas Muhammadiyah Tangerang (ID), Institut Teknologi Indonesia (ID)
Monash University, Japan International Cooperation Agency
Openalex Percentile: Top 22%
Urban Transport and Accessibility
0.68
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