Optimal Allocation of Resources To Meet Transit Fleet Requirements

• Published in: Journal of transportation engineering Vol. 128; no. 6; pp. 509 - 518
• Main Authors: Khasnabis, Snehamay, Alsaidi, Emadeddin, Ellis, Richard Darin
• Format: Journal Article
• Language: English
• Published: Reston, VA American Society of Civil Engineers 01.11.2002
• Subjects: Applied sciences; Buses; Cost benefit analysis; Exact sciences and technology; Ground, air and sea transportation, marine construction; Optimization; Public transportation; Resource allocation; Road transportation and traffic; TECHNICAL PAPERS; Transportation planning, management and economics; Case study; Bus; Service life; Purchasing; Fleet; Resource allocation; Economy of transports; Rehabilitation; Cost benefit analysis; Optimization; Public transportation; Investment
• DOI: 10.1061/(ASCE)0733-947X(2002)128:6(509)
• ISSN: 0733-947X

A two-stage procedure to optimally allocate limited resources for the dual purpose of purchasing new transit buses and rebuilding existing buses is presented in this paper. In stage 1, estimates are derived for the maximum investment that can be justified for rebuilding buses that have fulfilled their service life expectations. In stage 2, optimization by linear programming is used to estimate the number of buses in each category. Two optimization approaches are presented. In approach 1, the objective is to maximize the weighted fleet life, subject to budgetary and demand constraints. In approach 2, the objective is to minimize the total capital investment in the fleet, subject to minimum fleet life and demand constraints. Case studies are presented to demonstrate the application of two approaches. The proposed procedure can be used by state Departments of Transportation to allocate capital dollars among various transit agencies for the dual purpose of purchasing new buses and rebuilding older buses. While it is desirable to replace all the old buses with new ones, budgetary constraints often make it impossible to fund the purchase of all new buses. The proposed approach provides a tool to identify the "next best solution," a solution that will result in an optimum combination of new and rebuilt buses that will satisfy the requirements of the minimum fleet size as well as the budgetary constraints.