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Calibration of a transit route choice model using revealed population data of smartcard in a multimodal transit network

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Abstract

One of the major objectives of this study is to provide more realistic and accurate results related to transit passenger’s route choice behavior by using population data of revealed preference from smartcard transaction records. The smartcard data of the Seoul city provides both boarding and alighting location and time, which can make possible to trace each passenger’s actually used path trajectory with close to 100% market penetration of smartcard usage. This study built an abstract transit network with representative nodes by aggregating all near-by bus stops within walkable distance and with abstract paths by aggregating lines for a specific OD pair that run the same trajectory links by same transit modes. This complex and huge-scale transit network allowed to analyze the route choice behavior of transit passengers in a multimodal transit system that could not be found from the data of relatively small-size cities. This study selected OD pairs which had two or more alternative paths in order to analyze choice behavior requiring a plural alternative choice set. The number of the selected OD pairs are 124,393 pairs that are 33.9% of whole OD pairs that has two or more trip records. The calibration result showed that it is good statistically and logically to include the six explanatory variables in the utility function of the multinomial Logit model. Those are in-vehicle travel time, out-of-vehicle travel time, transfer penalty index, travel time reliability measure, and path circuity index.

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Acknowledgements

This research was supported partly by the Korea Railroad Research Institute (2010–2013; Grand No. 2013-PY-114) and the National Research Foundation of Korea (2017–2018; Grand No. 2017R1D1A1B04035997). The research resulted in the master thesis of Dong-Jeong Seo (2012) and the Ph.D. dissertation of Hyoung-Chul Kim (2014) with the supervision and direction of Ikki Kim, which was partly based on this study.

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Authors and Affiliations

  1. Department of Transportation and Logistics Engineering, Hanyang University, 55 Hanyang Deahak-ro, Sangrok-gu, Ansan, Gyunggi-do, 15588, South Korea

    Ikki Kim & Jung In Kim

  2. ChungNam Institute, Gongju, Chungcheongnam-do, South Korea

    Hyoung-Chul Kim

  3. Korea Transportation Safety Authority, Gimcheon, Gyeongsangbuk-do, South Korea

    Dong-Jeong Seo

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  1. Ikki Kim
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  2. Hyoung-Chul Kim
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  3. Dong-Jeong Seo
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  4. Jung In Kim
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Contributions

Ikki Kim wrote the manuscript with input from all other authors. Hyoung-Chul Kim, Dong-Jeong Seo, and Jung In Kim built the network and manipulated the smartcard data and tried to find a better route choice model under the supervision and direction of Ikki Kim. Hyoung-Chul Kim and Dong-Jeong Seo conceived and designed the concept of the simplified aggregate network and they developed various transit route choice model with Ikki Kim’s supervision. Jung In Kim verified and modified the network and its attributes, and he also tried to find a more acceptable model that has a better interpretation of the results. All authors discussed and commented on the analysis results and the manuscript.

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Correspondence to Ikki Kim.

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Kim, I., Kim, HC., Seo, DJ. et al. Calibration of a transit route choice model using revealed population data of smartcard in a multimodal transit network. Transportation 47, 2179–2202 (2020). https://doi.org/10.1007/s11116-019-10008-8

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