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<p>Accessibility to public transportation is a crucial indicator of how effectively a city’s public transportation system and services are provided to the general public. To examine the accessibility of transit services and to evaluate their performance, it is essential to have precise estimations of travel times be- tween transit stops due to variability in transit travel time throughout the day, which can affect operational characteristics and may create gaps in accessibility. Several researchers have failed to recognize the potential of spatiotemporal variations on Public Transit Accessibility (PTA). To tackle these issues, the present research introduced a structure for computing the duration of journeys between two stops. This method employs automated information like Automated Vehicle Location (AVL) and the static data from the General Transit Feed Specification (GTFS) to determine travel times for each transit trip across various operational hours. Considering the travel time as a measure of impedance in Gravity Model for evaluating accessibility for the transit services of Surat City, India. Results suggested that better infrastructure of transit in the centre and inner fringe regions provides better connectivity across the city and less friction in terms of travel time. The study outcomes can help transit agencies identify areas for service improvement and allocation of resources.</p>

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Evaluating Spatiotemporal Transit Accessibility Based on Gravity Model: A Novel Framework Using Big Data

  • 期刊论文

  • 发表日期：

    2025年3月30日

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  • Rohit Rathod,
  • Parth Jhaveri,
  • Gaurang Joshi,
  • Shriniwas Arkatkar

摘要

Accessibility to public transportation is a crucial indicator of how effectively a city’s public transportation system and services are provided to the general public. To examine the accessibility of transit services and to evaluate their performance, it is essential to have precise estimations of travel times be- tween transit stops due to variability in transit travel time throughout the day, which can affect operational characteristics and may create gaps in accessibility. Several researchers have failed to recognize the potential of spatiotemporal variations on Public Transit Accessibility (PTA). To tackle these issues, the present research introduced a structure for computing the duration of journeys between two stops. This method employs automated information like Automated Vehicle Location (AVL) and the static data from the General Transit Feed Specification (GTFS) to determine travel times for each transit trip across various operational hours. Considering the travel time as a measure of impedance in Gravity Model for evaluating accessibility for the transit services of Surat City, India. Results suggested that better infrastructure of transit in the centre and inner fringe regions provides better connectivity across the city and less friction in terms of travel time. The study outcomes can help transit agencies identify areas for service improvement and allocation of resources.