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Research on the Analysis of Campus’ Accessibility Based on Individual Activity Type

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Green, Smart and Connected Transportation Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 617))

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Abstract

The previous accessibility model is fundamental but neglects activity type on transportation analysis and planning. It fails to comprehensively evaluate individuals’ travel behaviors and their utilizable spatial-temporal resources under different activity types. This paper applies time geography method and classifies the activity types according to the characteristics and the elastic degree of individual activities. And then, the spatial temporal accessibility model and extended model based on the characteristics of different activity types are constructed. Moreover, a case study of campus trip data is given to verify the rationality of the models. The results show that when considering the type of activities, the accessibility does not follow the characteristics of scatter diagram and a “core to periphery” layer structure which is from high to low. Instead, it is determined by the type of activity. The stronger the mandatory activities are, the higher the accessibility of the region will be. Furthermore, when there are only one kind of facilities, the travel distance and time are major factors affecting the value of accessibility, and the personal selection of facilities follows the principle of proximity. The results are more consistent with the real life, therefore the proposed models are more rational. The results of this study provides great reference to the quantification of urban accessibility and theoretical support to the allocation of public urban facilities.

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Acknowledgements

Supported by the National Natural Science Foundation of China (51668029).

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Authors and Affiliations

  1. Faculty of Transportation Engineering, Kunming University of Science and Technology, Yunnan, Kunming, 650500, China

    Baohong He & Xiang Zhang

  2. School of Transportation, Southeast University, Jiangsu, Nanjing, 210096, China

    Xuefeng Li

Authors
  1. Baohong He
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  2. Xiang Zhang
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  3. Xuefeng Li
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Corresponding author

Correspondence to Baohong He .

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Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Wuhong Wang

  2. Ulm, Baden-Württemberg, Germany

    Martin Baumann

  3. Beijing Institute of Technology, Beijing, China

    Xiaobei Jiang

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He, B., Zhang, X., Li, X. (2020). Research on the Analysis of Campus’ Accessibility Based on Individual Activity Type. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_11

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  • DOI: https://doi.org/10.1007/978-981-15-0644-4_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0643-7

  • Online ISBN: 978-981-15-0644-4

  • eBook Packages: EngineeringEngineering (R0)

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