Award Date


Degree Type


Degree Name

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

Controlled Subject

Civil engineering

File Format


File Size

3706.88 KB

Degree Grantor

University of Nevada, Las Vegas




If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to and include clear identification of the work, preferably with URL.


IN COPYRIGHT. For more information about this rights statement, please visit