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Impact assessment of the Internet of Things on feeder transit performance

Author

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  • Shailesh Chandra
  • R. Thirumaleswara Naik
  • Luana Galbeno

Abstract

Efficient planning for demand responsive transit (DRT) can contribute to fulfilling the first/last mile transport needs for users of a major transit line. With the advancement in communication technologies, the internet is expected to assist this growing need of providing first/last mile connectivity. This is proposed to be achieved through a network created by Internet of Things (IoT). This paper evaluates the effect of implementation of IoT on service quality (or disutility) of DRT for two scenarios – with enabled-IoT (e-IoT) and with disabled-IoT (d-IoT). Data from five different DRT-like systems known as Call-n-Ride (CnR) routes operating in Denver, Colorado, are used for evaluation purposes. These CnR routes are Meridian, Interlocken, South Inverness, Broomfield and Louisville. Results show that, in general, all CnR routes would experience more than a 58 percent decrease in disutility if their operations were based on ‘with e-IoT’ operations. Interlocken would record the largest percentage decrease (74 percent) in disutility if its route service switched from the ‘with d-IoT’ to the ‘with e-IoT’ scenario.

Suggested Citation

  • Shailesh Chandra & R. Thirumaleswara Naik & Luana Galbeno, 2018. "Impact assessment of the Internet of Things on feeder transit performance," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(8), pages 830-844, November.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:8:p:830-844
    DOI: 10.1080/03081060.2018.1526896
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    Cited by:

    1. Ying Li & Hongyi Cen & Tai‐Yu Lin & Yi‐Nuo Lin & Yung‐ho Chiu & Su‐wan Wang, 2023. "Assessment of the internet impact on road transportation industry operational efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 619-640, January.

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