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Title:

Evaluating Carpooling Opportunities among Multimodal Options Using a Supernetwork Approach

Accession Number:

01628220

Record Type:

Component

Abstract:

High rates of car ownership, changes in land use patterns, the spatial sprawl of residential and job locations, and socio-demographic attributes constitute some of the major obstacles facing carpooling. Adding a number of other psychological factors, such as trust issues between anonymous people, unreliability, and lack of incentive, there is a uncertain future for most carpooling programs. Despite of the documented obstacles and barriers, carpooling remains one of the most effective approaches to remedy the worsening urban congestion if opportunities residing in the social structures can be discovered and amplified. To shed light on how to structure a more effective carpooling programs, this study explores and studies the concept of social carpooling, which aims to mitigate on the challenges of inconveniency and the psychological barriers toward carpooling. Using the supernetwork approach, this study evaluates the attractiveness of carpooling in a social network with the aim of pin pointing different ways of promoting this mode. The framework is applied to a large-scale data set that was collected from the morning rush hour commuters who traveled to The University of Arizona campus. Results show that even though 77.24% of trips cannot be switched to other modes, opportunities exist for the 22.76% of commuters to select more sustainable mobility options. Among these commuters, 13.75% can carpool with others who are also destined at the University campus.

Supplemental Notes:

This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-06811

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Arian, Ali
Chiu, Yi-Chang

Pagination:

17p

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

Candidate Terms:

Identifier Terms:

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-06811

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:48PM