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Title:

Multimodal Temescal: Understanding Travel and Shopping Patterns in Neighborhood Commercial Districts

Accession Number:

01590232

Record Type:

Component

Abstract:

How do shoppers reach neighborhood commercial districts? How do these patterns compare with and contrast to merchants’ perceptions of how they travel? Using merchant, shopper, and residential surveys, researchers at UC Berkeley examined these questions, finding that mobility patterns in the Temescal neighborhood commercial district were less auto-oriented than merchants perceived, and that walkers were the most economically impactful group of shoppers. Analysis of travel patterns of residents around the neighborhood commercial district found that while residents overwhelmingly have access to cars, they use them selectively and would like to be able to use them less. The overarching methodology used in Temescal has since been replicated elsewhere, and provides a more nuanced and informative lens of travel patterns in neighborhood commercial districts than traditional traffic studies and census data, while also serving a useful outreach and education function for cities.

Supplemental Notes:

This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-2541

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Barz, Sara
Weinzimmer, David
Nguyen, Jessica
Wamunyu, Kagure

Pagination:

17p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-2541

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:07PM