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Title:

Pedestrian Count Models Using Spatial Data Based on Distance Decay Affect

Accession Number:

01474081

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper presents non-linear count models developed to estimate pedestrian activity during a 12-hour time period for three different scenarios (all the signalized intersections, high pedestrian activity signalized intersections and low pedestrian activity signalized intersections). Data extracted and gathered for 176 signalized intersections in the city of Charlotte, North Carolina was used to develop the models. Pedestrian counts collected by trained technicians at each selected signalized intersection was used as the dependent variable. Variables such as demographic, socio-economic and land-use characteristics were extracted from within three different buffers generated around each signalized intersection using geographic information systems (GIS) software. The on-network characteristics and number of transit stops in the vicinity of each selected signalized intersection was gathered from within 100 feet buffer generated around each selected signalized intersection. These variables were used as explanatory (independent) variables. Generalized linear models were developed using data for each generated individual buffer as well as using integrated data from the three buffers. The distance decay affect was incorporated to define spatial weights and integrate data from the individual buffers. The spatially weighted models obtained using different combinations of weights for 0.25-, 0.5- and 1-mile buffer zones yielded better results than the non-linear models developed from data for each buffer zone. Further, statistical parameters indicate that separate models for high and low pedestrian activity signalized intersections yielded more meaningful outputs. These are well supported by results from validation of the developed models..

Supplemental Notes:

This paper was sponsored by TRB committee ANF10 Pedestrians.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-5134

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Pulugurtha, Srinivas S
Maradapudi, Jaya Madhuri

Pagination:

20p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Geographic Terms:

Charlotte (North Carolina)

Subject Areas:

Highways; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-5134

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:58PM