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Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network

Author

Listed:
  • Gang Lin

    (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, Australia)

  • Shaoli Wang

    (School of Architecture and Planning, Fujian University of Technology, Fuzhou 350118, China)

  • Conghua Lin

    (School of Architecture and Planning, Fujian University of Technology, Fuzhou 350118, China)

  • Linshan Bu

    (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, Australia)

  • Honglei Xu

    (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, Australia)

Abstract

To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.

Suggested Citation

  • Gang Lin & Shaoli Wang & Conghua Lin & Linshan Bu & Honglei Xu, 2021. "Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Netw," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6949-:d:578680
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    1. Sadeghi, Mehdi & Ameli, Ahmad, 2012. "An AHP decision making model for optimal allocation of energy subsidy among socio-economic subsectors in Iran," Energy Policy, Elsevier, vol. 45(C), pages 24-32.
    2. Tiznado-Aitken, Ignacio & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2021. "Public transport accessibility accounting for level of service and competition for urban opportunities: An equity analysis for education in Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 90(C).
    3. Holmgren, Johan, 2013. "The efficiency of public transport operations – An evaluation using stochastic frontier analysis," Research in Transportation Economics, Elsevier, vol. 39(1), pages 50-57.
    4. Daraio, Cinzia & Diana, Marco & Di Costa, Flavia & Leporelli, Claudio & Matteucci, Giorgio & Nastasi, Alberto, 2016. "Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research," European Journal of Operational Research, Elsevier, vol. 248(1), pages 1-20.
    5. Yedla, Sudhakar & Shrestha, Ram M., 2003. "Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 717-729, October.
    6. Benedetto Barabino & Nicola Aldo Cabras & Claudio Conversano & Alessandro Olivo, 2020. "An Integrated Approach to Select Key Quality Indicators in Transit Services," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 1045-1080, June.
    7. Fadaei, Masoud & Cats, Oded, 2016. "Evaluating the impacts and benefits of public transport design and operational measures," Transport Policy, Elsevier, vol. 48(C), pages 105-116.
    8. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
    9. Vasile DRAGU & Eugenia Alina ROMAN & Vlad C?t?lin ROMAN, 2013. "Quality Assessment In Urban Public Transport," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 8(3), pages 32-43, August.
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