Master of Science (MS)
Civil and Environmental Engineering
First Committee Member
Shashi S. Nambisan
Number of Pages
This study investigates factors that can be used to quantify average hourly pedestrian trips in urban areas and hence help in estimating pedestrian trips. Various models are developed for morning period, early and late evening periods, and an overall average hourly model was also developed 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 hourly pedestrian volumes and the F-test is used to support the analysis. The model is validated and calibrated using data from the Las Vegas metropolitan area. The findings show that the average hourly pedestrian trips are a function of number of lanes, average annual household income and the 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 methodology is also applicable to other urban settings. The calibrated model can estimate the pedestrian trips at any high pedestrian activity location provided the socioeconomic and demographic characteristics are known.
Areas; Estimation; Generation; Pedestrian; Rates; Trip; Urban
University of Nevada, Las Vegas
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Maheshwari, Pankaj, "Estimation of pedestrian trip generation rates in urban areas" (2005). UNLV Retrospective Theses & Dissertations. 1882.
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