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Title:

Exploring Social Media Data for Travel Demand Analysis: A Comparison of Twitter, Household Travel Survey, and Synthetic Population Data in California

Accession Number:

01622538

Record Type:

Component

Abstract:

In this paper, the authors explore Twitter information as a potential source for travel demand estimation statewide. An inventory of geo-tagged tweets and Twitter trips are compared with the data from the California Household Travel Survey (CHTS) and a synthetically generated inventory of trip making using population synthesis with PopGen. The comparison uses spatial statistics and multivariate techniques that are appropriate for sparse data. Production of tweets vary systematically with social and demographic characteristics of places around the State of California but they also differ depending on synthetic travel. At the zonal level of comparison the authors find that tweets are generated more often from zones that generate more trips by bicycle, drive alone, and airplane presumably due to travel context and traveler characteristics. The comparison of Twitter inferred travel with the California Household Travel Survey shows similarities in trip lengths and spatial distributions and differences in trip durations. In addition, social media data do not capture differences between weekdays and weekends or major holidays.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ20 Standing Committee on Statewide Transportation Data and Information Systems.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-00711

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lee, Jae Hyun
Davis, Adam
McBride, Elizabeth
Goulias, Konstadinos G

Pagination:

19p

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; References; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-00711

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:09AM