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Human-Scale Sustainability Assessment of Urban Intersections Based upon Multi-Source Big Data

Author

Listed:
  • Yuhuan Zhang

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China)

  • Huapu Lu

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China)

  • Shengxi Luo

    (Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China)

  • Zhiyuan Sun

    (College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China)

  • Wencong Qu

    (Road Transport Books Center, China Communications Press Co., Ltd., Beijing 100011, China)

Abstract

To evaluate the sustainability of an enormous number of urban intersections, a novel assessment model is proposed, along with an indicator system and corresponding methods to determine the indicators. Considering mainly the demands and feelings of the urban residents, the three aspects of safety, functionality, and image perception are taken into account in the indicator system. Based on technologies such as street view picture crawling, image segmentation, and edge detection, GIS spatial data analysis, a rapid automated assessment method, and a corresponding multi-source database are built up to determine the indicators. The improved information entropy method is applied to obtain the entropy weights of each indicator. A case study shows the efficiency and applicability of the proposed assessment model, indicator system and algorithm.

Suggested Citation

  • Yuhuan Zhang & Huapu Lu & Shengxi Luo & Zhiyuan Sun & Wencong Qu, 2017. "Human-Scale Sustainability Assessment of Urban Intersections Based upon Multi-Source Big Data," Sustainability, MDPI, vol. 9(7), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1148-:d:103347
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    References listed on IDEAS

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    4. Joreintje Dingena Mackenbach & Edward Randal & Pengjun Zhao & Philippa Howden-Chapman, 2016. "The Influence of Urban Land-Use and Public Transport Facilities on Active Commuting in Wellington, New Zealand: Active Transport Forecasting Using the WILUTE Model," Sustainability, MDPI, vol. 8(3), pages 1-14, March.
    5. Fausto Cavallaro & Edmundas Kazimieras Zavadskas & Saulius Raslanas, 2016. "Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS," Sustainability, MDPI, vol. 8(6), pages 1-21, June.
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    Cited by:

    1. Shiann Ming Wu & Tsung-chun Chen & Yenchun Jim Wu & Miltiadis Lytras, 2018. "Smart Cities in Taiwan: A Perspective on Big Data Applications," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    2. Michela Arnaboldi, 2018. "The Missing Variable in Big Data for Social Sciences: The Decision-Maker," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    3. Fansheng Meng & Xiaoye Jin, 2019. "Evaluation of the Development Capability of the New Energy Vehicle Industry: An Empirical Study from China," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    4. Chenyang Xue & Chaofeng Shao & Sihan Chen, 2020. "SDGs-Based River Health Assessment for Small- and Medium-Sized Watersheds," Sustainability, MDPI, vol. 12(5), pages 1-20, March.

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