Document Type


Date of Award


Degree Name

Master of Science in Transportation - (M.S.)


Executive Committee for the Interdisciplinary Program in Transportation

First Advisor

Lazar Spasovic

Second Advisor

Louis J. Pignataro

Third Advisor

Athanassios K. Bladikas


This study presents a methodological approach for finding an optimal design of bus transit service in an urban transportation corridor with elastic demand and under various objective functions. Service design decision variables to be optimized include the route length, route density, headway, number of stops and stop spacing pattern. The objective functions that optimize the transit system design include: minimizing operator cost, maximizing profit, minimizing sum of operator and user costs and maximizing the users' net benefits.

The analysis uses an elastic demand function wherein the number of trips are sensitive to the quality of service provided and price charged by the transit system.

Several analytical models of transit service design are developed and presented in a form of case studies. Computer-aided optimization methods are used to derive the optimal solutions in each of the case studies.



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