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Title:

Identification of Control Group Sites with Spatial Clustering in Bus Rapid Transit Infrastructure Projects

Accession Number:

01663689

Record Type:

Component

Abstract:

Studies that investigate land use impacts from transport infrastructure often rely on a quasi-experimental design approach. This method aims to mimic true experiments by drawing comparisons between test and control group samples. In transport and land use research, these groups usually correspond to areas affected by a change in transport infrastructure or land use and areas that are not affected by those changes. The selection of proper control sites is based on various criteria, such as demographic variables (income, age, household size), transport variables (accessibility, travel time), and/or land use variables (zoning, density, mix of land use). This paper aims to develop a methodological approach to the selection of control group sites on the grounds of socio-economic and geographical characteristics in a case study of the bus rapid transit (BRT) system in Brisbane, Australia. This work reviews the previous literature on criteria selection for control groups and further develops a statistical model to determine criteria for this specific study. On that basis, the model assigns a similarity index to every site in the dataset. It outputs cluster groups of similar values that occur to be the most suitable for validation across the full urban area.

Supplemental Notes:

This paper was sponsored by TRB committee AP050 Standing Committee on Bus Transit Systems.

Report/Paper Numbers:

18-06143

Language:

English

Authors:

Pyrohova, Svitlana
Hickman, Mark
Bertolaccini, Kelly
Turrell, Gavin

Pagination:

8p

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; Maps; References; Tables

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-06143

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:35AM