The use of mobile phone data in transport planning

被引:0
作者
Lee S. [1 ]
机构
[1] International School of Urban Sciences, University of Seoul, Seoulsiripdae-ro, Dongdaemun-gu, Seoul
关键词
Four stage transport planning; Mobile phone data; Non-traditional transport data; Transport data for developing countries;
D O I
10.1504/IJTPM.2020.104867
中图分类号
学科分类号
摘要
The paper offers a historical review of the emergent use of individual location data from mobile phones in the field of transport planning that occurred over the past two decades. It identifies four key areas of development: 1) providing traffic information, 2) replacing the traditional data for transport planning, 3) enhancing our understanding of travel behaviour, and 4) validating transport models. It assesses the appropriate roles for mobile phone data in transport planning and suggests that the extraction of traffic information, the construction of origin-destination data, and transit route design have particularly practical implications for cities in the developing countries. Copyright © 2020 Inderscience Enterprises Ltd.
引用
收藏
页码:54 / 69
页数:15
相关论文
共 16 条
  • [1] Mobile phone data redraws bus routes in Africa, BBC News, (2013)
  • [2] Berlingerio M., Calabrese F., Lorenzo G.D., Nair R., Pinelli F., Sbodio M.L., Allaboard: A system for exploring urban mobility and optimizing public transport using cellphone data, Mobile Phone Data for Development, Selected Contributions to the D4D Challenge Sponsored by Orange, (2013)
  • [3] Bolla R., Davoli F., Road traffic estimation from location tracking data in the mobile cellular network, Proceedings of IEEE Wireless Communication and Networking Conference, 3, pp. 1107-1112, (2000)
  • [4] Calabrese F., Di Lorenzo G., Liu L., Ratti C., Estimating origin-destination flows using mobile phone location data, Pervasive Computing, IEEE, 10, 4, pp. 36-44, (2011)
  • [5] Dickey J.W., Metropolitan Transportation Planning, 2nd Edition, (1983)
  • [6] Hassan O.M., Siyanbola W.O., Oyebisi T.O., An evaluation of the implementation mechanisms of Nigeria's information technology policy, International Journal of Technology', Policy and Management, 11, 1, pp. 57-67, (2011)
  • [7] Iansiti M., Richards G., A study of economic impact of cloud computing, International Journal of Technology', Policy and Management, 12, 4, pp. 344-372, (2012)
  • [8] Iqbal M.S., Choudhury C.F., Wang P., Gonzalez M.C., Origin-destination trips by purpose and time of day inferred from mobile phone data: Development of origin-destination matrices using mobile phone call data, Transportation Research C, 40, pp. 63-74, (2014)
  • [9] Jiang S., Yang Y., Fiore G.J.F., Frazzoli E., Gonzalez M.C., A review of urban computing for mobile phone traces: Current methods, challenges and opportunities, Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, (2013)
  • [10] Maerivoet, Logghe, Validation of travel times based on cellular floating vehicle data, The 6th European Congress and Exhibition on Intelligent Transport Systems and Services, ITS'07, (2007)