Determination of bicycle service areas around metro stations for dedicated bicycling infrastructure provision in congested urban areas

Providing dedicated bicycling infrastructure in transit catchments ensures safe and convenient access to metro stations. Its provision is challenging in congested urban areas, and it can be constructed around stations to a certain extent. This research identifies four-parametric logistic (4PL) curve as the appropriate distance decay (DD) function to capture the cycle ridership variation with distance from the station. The trip length range corresponding to the maximum rate of increase in ridership governed by the curve's upper and lower bend points rationally delineates the region where infrastructure provision can yield maximum patronage. We also test and prove the hypothesis that rail alignment and station spacing, station type, and station location characteristics affect the bicycling service area. This is achieved by dividing the catchment area into six radial sectors based on its adjacency to the metro line and estimating the bend points on the curve for each sector.

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Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2024.12.198
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

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article

Determination of bicycle service areas around metro stations for dedicated bicycling infrastructure provision in congested urban areas

Debapratim Pandit, Niyatha Balan
Transportation research procedia
Urban Transport and Accessibility
article

Determination of bicycle service areas around metro stations for dedicated bicycling infrastructure provision in congested urban areas

Debapratim Pandit, Niyatha Balan
article en

Abstract

Providing dedicated bicycling infrastructure in transit catchments ensures safe and convenient access to metro stations. Its provision is challenging in congested urban areas, and it can be constructed around stations to a certain extent. This research identifies four-parametric logistic (4PL) curve as the appropriate distance decay (DD) function to capture the cycle ridership variation with distance from the station. The trip length range corresponding to the maximum rate of increase in ridership governed by the curve's upper and lower bend points rationally delineates the region where infrastructure provision can yield maximum patronage. We also test and prove the hypothesis that rail alignment and station spacing, station type, and station location characteristics affect the bicycling service area. This is achieved by dividing the catchment area into six radial sectors based on its adjacency to the metro line and estimating the bend points on the curve for each sector.

Transportation research procediaVol. 82
Indian Institute of Technology Kharagpur (IN)
Ministry of Education, India
Sustainable cities and communities
Openalex Percentile: Top 100%
Urban Transport and Accessibility
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Determination of bicycle service areas around metro stations for dedicated bicycling infrastructure provision in congested urban areas — Debapratim Pandit, Niyatha Balan · Transportation research procedia (2025) | TGRS Research Map | TGRS