The deep penetration of mobile phones offers cities the ability to opportunistically monitor citizens interactions and use data-driven insights to better plan and manage services. In this context, transit operators can leverage pervasive mobile sensing to better match observed demand for travel with their service offerings. With large scale data on mobility patterns, operators can move away from the costly and resource intensive transportation planning processes prevalent in the West, to a more data-centric view, that places the instrumented user at the center of development. In this framework, using mobile phone data to perform transit analysis and optimization represents a new frontier with significant societal impact, especially in developing countries.
Document type: Part of book or chapter of book
The different versions of the original document can be found in:
Published on 01/01/2013
Volume 2013, 2013
DOI: 10.1007/978-3-642-40994-3_50
Licence: CC BY-NC-SA license
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