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Measuring Transportation Accessibility Based on Different Data Sources: A State-of-the-Art Review

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Smart Transportation Systems 2021

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 231))

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Abstract

Accessibility plays an important role in the field of transportation. In previous studies, due to the limitation of data sources, the research on dynamic accessibility is limited. In recent years, the emergence of new data sources provides possibilities for the dynamic accessibility. This paper summarizes four classic accessibility evaluation models, including the space separation measure, cumulative opportunities measure, potential accessibility measure, and space–time prism. Moreover, this paper introduces the limitations of traditional data sources and analyzes the characteristics of new data sources such as floating car data, smart cards data, mobile phone recording data, and navigation map (API) data. A comprehensive overview of the application of different data sources in transportation accessibility is also developed. Finally, this review study shows opportunities and challenges for transportation accessibility studies.

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Authors and Affiliations

  1. School of Civil Engineering, Zhengzhou University, Zhengzhou, 450001, P. R. China

    Ke Ren, Can Cui & Yadan Yan

Authors
  1. Ke Ren
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  2. Can Cui
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  3. Yadan Yan
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Corresponding author

Correspondence to Yadan Yan .

Editor information

Editors and Affiliations

  1. Chalmers University of Technology, Göteborg, Sweden

    Xiaobo Qu

  2. Shanghai University, Shanghai, China

    Lu Zhen

  3. KES International, Shoreham-by-sea, UK

    Robert J. Howlett

  4. KES International, Shoreham-by-sea, UK

    Lakhmi C. Jain

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Ren, K., Cui, C., Yan, Y. (2021). Measuring Transportation Accessibility Based on Different Data Sources: A State-of-the-Art Review. In: Qu, X., Zhen, L., Howlett, R.J., Jain, L.C. (eds) Smart Transportation Systems 2021. Smart Innovation, Systems and Technologies, vol 231. Springer, Singapore. https://doi.org/10.1007/978-981-16-2324-0_16

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  • DOI: https://doi.org/10.1007/978-981-16-2324-0_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2323-3

  • Online ISBN: 978-981-16-2324-0

  • eBook Packages: EngineeringEngineering (R0)

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