Model for Public Car Park Layout Based on Dynamic Multiperiodic Parking Demands

Abstract

The problem in designing a public car park layout entails selecting several car parks for construction and then determining the assigned number of parking spaces in each selected car park within a planning region containing many parking demand points and candidate car parks. In this paper, we propose a mathematical programming model to formulate the layout of public car parks with the objective of minimizing the comprehensive costs, including the walking time of all users, and the construction cost of the car parks. The model is designed to consider dynamic multiperiodic parking demands and guarantee that the parking needs of users are met during each period. Using this model, the number and locations of car parks and the number of parking spaces at each car park to be constructed can be simultaneously determined. Moreover, the number of cars at each parking demand point that will enter or leave each car park during each time period can also be determined. A typical numerical example, which is solved using a genetic algorithm (GA), is created to demonstrate the proposed model.