Theses and Dissertations


Xuan Liu

Issuing Body

Mississippi State University


Usher, John M.

Committee Member

Babski-Reeves, Kari

Committee Member

Strawderman, Lesley

Committee Member

Jin, Mingzhou

Committee Member

Campbell, Randy

Date of Degree


Document Type

Dissertation - Open Access


Industrial and Systems Engineering

Degree Name

Doctor of Philosophy


James Worth Bagley College of Engineering


Department of Industrial and Systems Engineering


This dissertation presents a functional unit that will be used within the Intermodal Simulator for the Analysis of Pedestrian Traffic (ISAPT). Such simulation systems can be used by infrastructure designers and public transport designers for evaluating and optimizing building designs and layouts. Activity-based travel demand analysis is one of the most important methods for studying pedestrian behavior in that it reflects how people travel inside intermodal facilities driven by a clear purpose based on their prior knowledge of the facility layout and its resources. In this dissertation, the proposed framework used for pedestrian travel simulation inside an intermodal facility is divided into three aspects, activity scheduling, destination/route choice analysis and rescheduling modeling. Discrete choice models were developed to describe in sufficient detail the various activity scheduling and destination choice behavior of pedestrians in the planning stage, as well as to describe their rescheduling behavior at the execution stage while they are traveling inside airports. In order to demonstrate the applicability of the models, a numerical example was provided for the activity choice model and a case study was also included of destination choice. Both revealed preference (RP) survey data and stated preference (SP) survey data have been used to calibrate and validate the discrete choice models. The main conclusion of this dissertation is that modeling pedestrian behavior inside an intermodal facility is feasible. Use of this framework will provide simulation system with the capability to take into account natural pedestrian behavior, not only of what they will do, where they will perform it, and which path they will use to get there, but also enhancing the travel efficiency by providing rescheduling behavior under various traffic conditions. Due to the limited knowledge concerning pedestrian behavior in public transportation facilities, laboratory experiments were conducted in order to fill the blank. Both the setup of the laboratory experiments and the data collection methods employed in this research are original. Numerical examples have shown the validity and the applicability of each developed model for each of three types of behavior.