Promises of Data from Emerging Technologies for Transportation Applications: Puget Sound Region Case Study

Ban, Xuegang (Jeff); Chen, Cynthia; Wang, Feilong; Wang, Jingxing; Zhang, Yiran; United States. Federal Highway Administration

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Promises of Data from Emerging Technologies for Transportation Applications: Puget Sound Region Case Study

2018-10-31
By Ban, Xuegang (Jeff) ; Chen, Cynthia ; Wang, Feilong ; ...

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Creators:

Ban, Xuegang (Jeff) ; Chen, Cynthia ; Wang, Feilong ; Wang, Jingxing ; Zhang, Yiran

Ban, Xuegang (Jeff) ; Chen, Cynthia ; Wang, Feilong ; Wang, Jingxing ; Zhang, Yiran Less -
Corporate Creators:

United States. Federal Highway Administration
Contributors:

Sun, Sarah
Corporate Contributors:

University of Washington. Department of Civil and Environmental Engineering
Subject/TRT Terms:

[+]

App-Based Data Automatic Data Collection Systems Big Data Data Analysis Mobile Phone Data Origin And Destination Origin Destination Demand Matrices Passively Solicited Data Travel Patterns Travel Surveys
Publication/ Report Number:

FHWA-HEP-19-026
Resource Type:

Tech Report
Geographical Coverage:

United States
Contracting Officer:

Sun, Sarah
Corporate Publisher:

United States. Federal Highway Administration
Abstract:

With the explosion of the number of studies using big, passively-generated data for transportation analysis, this study focuses on understanding the properties of such data and how these properties affect our ability in deriving trip-related characteristics. Two big, passively solicited datasets were analyzed: a mobile phone data generated primarily on phone calls with locations identified through cellular triangulation and an app-based data generated primarily on app usage with locations identified through a mix of positioning technologies including GPS and cellular triangulation. Both datasets were compared against their household travel survey counterparts. It is shown that the two datasets, generated through different positioning technologies and usage mechanisms clearly have different spatial and temporal characteristics, which then affect trip related attributes such as trip rates and OD patterns. Implications in planning applications and future work are discussed.
Format:

PDF
Funding:

FY18004 / T1461-53
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha256:6394d0a8b796ab114a68b8931dca2ea6e3dcee35d5609ffda41d34bb73c94b13
Download URL:

https://rosap.ntl.bts.gov/view/dot/55796/dot_55796_DS1.pdf
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Promises of Data from Emerging Technologies for Transportation Applications: Puget Sound Region Case Study

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