Individual Mobility Analysis Using Smartphone Data

Autor: Evanthia Kazagli, Jingmin Chen, Michel Bierlaire
Předmět:
Popis: 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.
Databáze: OpenAIRE