Individual Mobility Analysis Using Smartphone Data

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Author(s): Evanthia Kazagli (Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland), Jingmin Chen (Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland)and Michel Bierlaire (Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland)
Copyright: 2018
Pages: 23
Source title: Intelligent Transportation and Planning: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5210-9.ch015

Keywords: Data Analysis & Statistics / Engineering Science Reference / Library & Information Science / Mechanical Engineering

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Abstract

This chapter provides an overview of the capabilities and limitations of smartphone data for individual mobility analysis and choice modeling. First, the Lausanne Data Collection Campaign (LDCC) that yielded one of the richest smartphone datasets with respect to the assortment of the available data is introduced. Next, the opportunities and challenges associated with this type of data are assessed, and the resolved problems for each challenge are summarized. The objective of the present chapter is to share lessons and experiences related to the LDCC data to support future use of smartphones in mobility research and travel demand analysis. Specific attention is given to the exploitation of such data for the purpose of route choice modeling within the context of discrete choice analysis.

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Individual Mobility Analysis Using Smartphone Data

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