Transaction-Driven Mobility Analysis for Travel Mode Choices | Zendy

Jesper Slik | Zendy; Sandjai Bhulai | Zendy

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Transaction-Driven Mobility Analysis for Travel Mode Choices

Author(s) -

Jesper Slik,

Sandjai Bhulai

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.03.022

Subject(s) - computer science , reachability , travel behavior , mode (computer interface) , database transaction , mode choice , personal mobility , transaction data , transport engineering , human–computer interaction , public transport , database , telecommunications , theoretical computer science , engineering

Urban planning can benefit tremendously from a better understanding of where, when, why, and how people travel. Through advances in technology, detailed data on the travel behavior of individuals has become available. This data can be leveraged to understand why one prefers one mode of transportation over another one. In this paper, we analyze a unique dataset through which we can address this question. We show that the travel behavior in our dataset is highly predictable, with an accuracy of 97%. The main predictors are reachability features, more so than specific travel times. Moreover, the travel type (commute or personal) has a considerable influence on travel mode choice.

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