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- W613007514 abstract "U.S. transit operators are faced with escalating operating deficits along with growing opposition to the increase in taxes required to offset them. This financial situation has created an immediate need to restructure inefficient and underproductive transit operations. In response to this need, this study developed an analytical framework to help control transit operating deficits. A bilevel optimization model based on nonlinear programming was developed at system and route levels of detail. The model postulates that transit operators could reach a feasible solution for minimizing operating deficits through modifications of current fare and service policies. The model has an economic framework (through the specification of appropriate cost and revenue functions) and solves for optimality through system supply-demand equilibrium. Solutions of the optimization model will provide transit operators with specific operating guidelines for minimizing deficits subject to resource and policy constraints. The nonlinear optimization model is solved using a large-scale (sparse matrix) successive linear programming algorithm. The model was implemented on a microcomputer and was tested with a real-world application to establish its practicality and usefulness." @default.
- W613007514 created "2016-06-24" @default.
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- W613007514 date "1985-01-01" @default.
- W613007514 modified "2023-09-28" @default.
- W613007514 title "SYSTEM AND ROUTE OPTIMIZATION MODEL FOR MINIMIZING URBAN TRANSIT OPERATING DEFICITS" @default.
- W613007514 hasPublicationYear "1985" @default.
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