01024531

Component

This study investigates factors that can be used to quantify peak hour daily pedestrian trips in urban areas in order to help estimate pedestrian trips. Various models are developed for morning peak, evening peak, evening off-peak, and combined daily peak hours depending on the type of the facilities near the high pedestrian activity locations. General linear regression modeling and other statistical methods are used to identify the significant factors. The best subset regression is used to model four different peak hour pedestrian volumes and the F-test is used to support the analysis. Various criteria are evaluated to select the best model. The model is validated and calibrated using data from the Las Vegas metropolitan area. The findings show that the daily peak hour pedestrian trips are a function of number of lanes, average annual household income and residential area proximate to the study location. Results show that the pedestrian trips are independent of the commercial area and the number of bus stops near the vicinity. The calibrated model can estimate the pedestrian trips at any high pedestrian activity location provided socioeconomic and demographic characteristics are known. The methodology to model pedestrian trip generation is also applicable to other urban settings.

01020180

06-1973

English

18p

2006

Transportation Research Board 85th Annual Meeting

CD-ROM

Figures (2) ; References (16) ; Tables (8)

Demographics; Off peak periods; Peak hour traffic; Pedestrian areas; Pedestrian traffic; Statistical analysis; Traffic volume; Trip generation; Urban areas

Las Vegas Metropolitan Area

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2006 Paper #06-1973

TRIS, TRB

Mar 3 2006 10:50AM