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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    Title :

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


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Qu, Xiaobo (editor) / Zhen, Lu (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Ren, Ke (author) / Cui, Can (author) / Yan, Yadan (author)


    Publication date :

    2021-06-06


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English