Xiao-Shan Lu
School of Transportation Engineering, Hefei University of Technology, Hefei 230009, China
Ren-Yong Guo
College of Computer Science, Inner Mongolia University, Hohhot 010021, China
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.
Bolger D, Colquhoun D, Morrall J. Planning and design of park-and-ride facilities for the Calgary light rail transit system. Transportation Research Record. 1992;1361:141-148.
Roberts A, Parker A, Surl R, Gallop K. Park-and-ride: new case studies. Proceedings of Institution of Civil Engineers – Transport. 1996;117:234-235.
Lu XS, Huang HJ, Liu TL. Pricing and hierarchical logit-based mode choice models in a multimodal corridor with trip-chain costs. Systems Engineering Procedia. 2011;2:231-242.
AASHTO. Guide for park-and-ride facilities. American Association of State Highway and Transportation Officials; 2004.
Horner MW, Grubesic TH. A-GIS-based planning approach to locating urban rail terminals. Transportation. 2001;28(1):55-77.
Faghri A, Lang A, Hamad K, Henck H. Integrated knowledge-based geographic information system for determining optimal location of park-and-ride facilities. Journal of Urban Planning and Development-ASCE. 2002;128(1):18-41.
Wang JYT, Yang H, Lin
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Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD
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