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Title:

The Lure of Big Data: Evaluating the Efficacy of Mobile Phone Data for Travel Model Validation
Cover of The Lure of Big Data: Evaluating the Efficacy of Mobile Phone Data for Travel Model Validation

Accession Number:

01626337

Record Type:

Component

Abstract:

The use of mobile phone location data to support transportation planning and travel behavior analysis is becoming common practice for many agencies, driven largely by the large sample size and lower costs for acquiring and processing the data. With recent successes to build from, these data are becoming more heavily marketed to transportation planning practitioners. The challenge is that these practitioners have few tools at their disposal for understanding data acquisition, data quality, data limitations, and data application issues. This lack of understanding can lead to situations where agencies invest in a product that does not fully meet their needs because they did not have a full understanding of the limitations, or conversely, that they purchase these data for a specific need but do not exploit these data to its full potential thereby not maximizing the return on their investment. This paper attempts to address many of those questions through a detailed analysis of AirSage data in comparison to a household travel survey conducted during the same time period. Also presented is a methodology for performing reasonableness checks on the data for agencies who cannot afford to invest in both a household travel survey and the collection of mobile phone location data. Finally, this paper offers practitioners with valuable insights into using mobile phone location data to support travel model validation. Through this presentation of information, this paper contributes to the discussion of using big data as a low cost option for travel model validation.

Supplemental Notes:

This paper was sponsored by TRB committee ADB20 Standing Committee on Effects of Information and Communication Technologies (ICT) on Travel Choices.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-01761

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Huntsinger, Leta F

Pagination:

16p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Uncontrolled Terms:

Big data

Subject Areas:

Data and Information Technology; Planning and Forecasting; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-01761

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:36AM