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Title:

A Spatial Econometric Model for Travel Flow Analysis and Real-World Applications with Massive Mobile Phone Data

Accession Number:

01623343

Record Type:

Component

Abstract:

Cellular signaling data provide a massive and emerging source to acquire urban origin-destination (OD) travel flows for transportation planners, support decision-making of large-scale mobility enhancement, and make it possible to explore underling influence factors of travel demand considering spatial autocorrelation. The effects of population, facilities, and transit accessibility on the travel flow between traffic analysis zones are revealed with empirical evidence. This paper employs the spatial econometric model for the OD travel flow analysis by coping massive mobile data with other related explanatory features of different urban regions. The results of real-world applications with Hangzhou, China show that: (I) all of the origin dependence, destination dependence and OD dependence are statistically significant, which verifies the consideration of spatial interdependence; (II) permanent population, facility number and transit accessibility all have positive correlation with travel flows; (III) distance, as expected, is negatively correlated with the travel flow volume. Finally, policy implications are discussed based on the estimated coefficients, marginal effects of explanatory variables, and future urban development plans by 2020. These findings contribute to the design of urban land use and transportation policies.

Supplemental Notes:

This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development. Alternate title: Spatial Econometric Model for Travel Flow Analysis and Real-World Applications with Massive Mobile Phone Data.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04042

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ni, Linglin
Wang, Xiaokun Cara
Chen, Xiqun (Michael)

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:

Hangzhou (China)

Subject Areas:

Data and Information Technology; Economics; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04042

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:32AM