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Title:

Using Mobile Device Tracking Data to Identify Trip Characteristics: A Case Study Application from MetroPlan Orlando

Accession Number:

01663000

Record Type:

Component

Abstract:

One of the most common large datasets available for transportation planning is mobile device tracking data (MDTD). Although these data have been available for a few years, relatively little is known about its applicability at the regional, systems planning level. This paper aims to inform the reader of what the data are, how it can be presented, and how it can be applied to inform decisions at a regional level. It is based on work done for MetroPlan Orlando, the Metropolitan Planning Organization (MPO) for a three-county area in Central Florida. MDTD can be readily used to inform on origin-destination travel patterns. In fact, most MDTD vendors offer this product. However, this study found that fusing MDTD with other readily available datasets—such as travel times and distances from routing engines—significantly increases the value of MDTD for regional planning. For example, by matching the number of trips between a given origin-destination pair with the approximate travel distance and travel time between those two points, the team was able to compare how different subregions and activity centers contribute to travel in the MetroPlan Orlando region. A similar process helped MetroPlan Orlando identify the frequencies of trips of varying length and duration—presented using histograms. In short, the primary conclusion of this study is that MDTD can be used as a cost-effective tool for region-wide planning.

Supplemental Notes:

This paper was sponsored by TRB committee ADB50 Standing Committee on Transportation Planning Applications.

Report/Paper Numbers:

18-02750

Language:

English

Authors:

Barrios, Jorge A
Cesme, Burak
Maier, George

Pagination:

17p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-02750

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:39AM