A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints

<p>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...

Full description

Bibliographic Details
Main Authors:	Xiao-Shan Lu, Ren-Yong Guo
Format:	Article
Language:	English
Published:	University of Zagreb, Faculty of Transport and Traffic Sciences 2015-08-01
Series:	Promet (Zagreb)
Subjects:	traffic network park-and-ride bi-objective programming spatial equity
Online Access:	http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1584

id	doaj-30f0265337f3469fb55fbc5ec1dd400f
record_format	Article
spelling	doaj-30f0265337f3469fb55fbc5ec1dd400f2020-11-24T21:42:56ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692015-08-0127430130810.7307/ptt.v27i4.15841208A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity ConstraintsXiao-Shan Lu0Ren-Yong Guo1School of Transportation Engineering, Hefei University of Technology, Hefei 230009, ChinaCollege of Computer Science, Inner Mongolia University, Hohhot 010021, China<p>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.</p>http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1584traffic networkpark-and-ridebi-objective programmingspatial equity
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Xiao-Shan Lu Ren-Yong Guo
spellingShingle	Xiao-Shan Lu Ren-Yong Guo A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints Promet (Zagreb) traffic network park-and-ride bi-objective programming spatial equity
author_facet	Xiao-Shan Lu Ren-Yong Guo
author_sort	Xiao-Shan Lu
title	A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints
title_short	A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints
title_full	A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints
title_fullStr	A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints
title_full_unstemmed	A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints
title_sort	bi-objective model for siting park-and-ride facilities with spatial equity constraints
publisher	University of Zagreb, Faculty of Transport and Traffic Sciences
series	Promet (Zagreb)
issn	0353-5320 1848-4069
publishDate	2015-08-01
description	<p>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.</p>
topic	traffic network park-and-ride bi-objective programming spatial equity
url	http://www.fpz.unizg.hr/traffic/index.php/PROMTT/article/view/1584
work_keys_str_mv	AT xiaoshanlu abiobjectivemodelforsitingparkandridefacilitieswithspatialequityconstraints AT renyongguo abiobjectivemodelforsitingparkandridefacilitieswithspatialequityconstraints AT xiaoshanlu biobjectivemodelforsitingparkandridefacilitieswithspatialequityconstraints AT renyongguo biobjectivemodelforsitingparkandridefacilitieswithspatialequityconstraints
_version_	1725916303072428032

A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints

Similar Items