Publication
Title
A meta-analysis of the effectiveness of park-and-ride facilities
Author
Abstract
In this paper we present a meta - analysis of Park - and - Ride (P+R) facilities. Our goal is to identify the determinants of effective sites and to assess their contribution with respect to various transport policy objectives. An effective facility predominantly attracts target group users, i.e. users who without the P+R would use the car for the entire journey. Our meta - analysis is based on the results of 4 0 studies and a total of 180 evaluated P+R sites, mainly from European countries. Linear regression analysis is used to estimate the influence of seven explanatory variables. Public transport mode and point of intercept are identified as the most important factors. The share of commuters, weekday or weekend use and the number of parking spaces have a significant, but limited influence on the effectiveness. The statistics from the dataset and the linear regression results are used to calculate the effects on three main policy objectives. Our analysis indicates that P+R facilities with a destination function intercept about 47 cars per 100 parking spaces provided. Public transport use drops slightly and private car kilometres (to reach the P+R) increase. Facil ities with an origin function intercept about 21 cars per 100 parking spaces, private car kilometres are slightly reduced and kilometres in public transport use increases. Our results are useful to assess the impact of future P+R interventions and to formu late regional P+R policies.
Language
English
Source (journal)
European journal of transport and infrastructure research. - Delft
EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH
Publication
Delft : 2015
ISSN
1567-7141
Volume/pages
15:4(2015), p. 597-612
ISI
000366901000012
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 29.09.2015
Last edited 30.03.2017
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