Abstract
A bi-objective programming model (BP) with spatial equity constraints is proposed to site park-and-ride (P&R) facilities in traffic networks. Both the number and locations of P&R facilities are determined. The maximal coverage and minimal resource utilization criteria, which are generally conflicting, are simultaneously considered to reveal the trade-off between the quality and cost of coverage. Furthermore, the concept of passenger flow volume per cost is defined and several properties of the model solutions are analyzed. Finally, this model is applied to site P&R facilities in Anaheim, California. Application results show the trade-offs associated with passenger flow volume, cost and passenger flow volume per cost, and the effects of spatial equity constraints on the spatial deployment of P&R facilities.
Highlights
Continued reliance on private automobiles is not likely to be sustainable for urban development, due to limited natural resources, environmental pollution and road congestion issues
From cost-benefit perspective of public transport infrastructure investment, incorporating the spatial equity factor, this paper proposes a bi-objective programming model for the P&R facility location problem
P&R services are an integral element of public transportation system
Summary
Continued reliance on private automobiles is not likely to be sustainable for urban development, due to limited natural resources, environmental pollution and road congestion issues. Developed various hybrid knowledge-based expert system and geographic information system tools to determine the optimal location of a P&R facility These systems provide multiple criteria to investigate alternative solutions, such as close to the central business district (CBD), the competition around the parking lot, and near the subway station. The demand coverage issue has been studied a lot in the previous traffic literature [15], so far as we know, most models cannot address the trade-off associated with differing levels of importance for coverage and cost objectives, while taking spatial equity into consideration It may cause some P&R facilities clustering with spatial equity constraint missing, and the spatial distribution of public resources becomes unfair. From cost-benefit perspective of public transport infrastructure investment, incorporating the spatial equity factor, this paper proposes a bi-objective programming model for the P&R facility location problem. This model is applied to the transportation network in Anaheim, California
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