Last-Mile Travel Mode Choice : Data-Mining Hybrid with Multiple Attribute Decision Making

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

24 Scopus Citations
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  • Rui Zhao
  • Linchuan Yang
  • Xinrong Liang
  • Yuanyuan Guo
  • Yixuan Zhang
  • Xinyun Ren


Original languageEnglish
Article number6733
Journal / PublicationSustainability
Issue number23
Online published27 Nov 2019
Publication statusPublished - Dec 2019



Transit offers stop-to-stop services rather than door-to-door services. The trip from a transit hub to the final destination is often entitled as the "last-mile" trip. This study innovatively proposes a hybrid approach by combining the data mining technique and multiple attribute decision making to identify the optimal travel mode for last-mile, in which the data mining technique is applied in order to objectively determine the weights. Four last-mile travel modes, including walking, bike-sharing, community bus, and on-demand ride-sharing service, are ranked based upon three evaluation criteria: travel time, monetary cost, and environmental performance. The selection of last-mile trip modes in Chengdu, China, is taken as a typical case example, to demonstrate the application of the proposed approach. Results show that the optimal travel mode highly varies by the distance of the "last-mile" and that bike-sharing serves as the optimal travel mode if the last-mile distance is no more than 3 km, whilst the community bus becomes the optimal mode if the distance equals 4 and 5 km. It is expected that this study offers an evidence-based approach to help select the reasonable last-mile travel mode and provides insights into developing a sustainable urban transport system.

Research Area(s)

  • last-mile, data mining, multiple attribute decision making, travel mode selection, big data, bike-sharing, community bus, on-demand ride-sharing service, Sina Weibo, China, BUILT ENVIRONMENT, PHYSICAL-ACTIVITY, CARBON EMISSIONS, DISABLED PEOPLE, CO2 EMISSIONS, ACCESSIBILITY, TRANSPORT, TRIPS, TRANSIT

Citation Format(s)

Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making. / Zhao, Rui; Yang, Linchuan; Liang, Xinrong et al.
In: Sustainability, Vol. 11, No. 23, 6733, 12.2019.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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