Authors: Ruichun He; Changxi Ma; Yinzhen Li
Addresses: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' Northwest Traffic Economy Research Center, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China
Abstract: In order to resolve the parking problem in the new district, a new site selection method for public parking lot is put forward. Firstly, the future parking demands are forecast by parking generation rate model. Secondly, the preliminary locations and quantity of the parking lot are planned by the analytical hierarchy process. Finally, the multi-objective site selection model is established and the genetic algorithm is designed. Based on the multi-objective model and the genetic algorithm, the final location and scale of parking lots are determined. Taking the new district of Lanzhou as an example, the locations and the berths of the parking lot are studied by the new method. The example shows the three-step method is feasible and it can help decision-makers plan the public parking lot in the new district.
Keywords: public parking lots; public car parks; site selection; genetic algorithms; multi-objective modelling; new districts; parking demand forecasting; analytical hierarchy process; AHP.
International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.2, pp.147 - 152
Received: 18 Jul 2014
Accepted: 22 Aug 2014
Published online: 28 Mar 2015 *