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Lorry Park Selection Criteria and Drivers’ Preferences: A Study from the UK
Open AccessArticle

Designing a Web Spatial Decision Support System Based on Analytic Network Process to Locate a Freight Lorry Parking

1
Istituto per le Applicazioni del Calcolo Mauro Picone, CNR, via dei Taurini 19, 00185 Roma, Italy
2
City of Bradford Metropolitan District Council, Britannia House, Bradford BD1 1HX, UK
3
Management School, University of Sheffield, Conduit Road, Sheffield S10 1FL, UK
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(20), 5629; https://doi.org/10.3390/su11205629
Received: 13 August 2019 / Revised: 24 September 2019 / Accepted: 2 October 2019 / Published: 12 October 2019
The relevant role of freight lorry parking facilities as a tool to reduce nuisances and impact of economic activities in densely populated urban areas is widely recognised in the literature. Nevertheless, the literature currently lacks specific contributions addressing the use of a complex Multiple Criteria Decision Analysis (MCDA) approach for coping with an optimal location of freight lorry parking facilities in the urban context. This paper contributes to filling this gap by analysing a real-world case study motivated by the problem of intense freight vehicles traffic around the city of Bradford, Yorkshire (UK). Since it is necessary to include diverse analysis perspectives, reflecting the different classes of involved stakeholders, this study proposes adopting the Analytic Network Process (ANP) approach as a tool to support the selection and evaluation of alternatives for a freight lorry parking facility, followed by the design of software based on this approach. The proposed web Spatial Decision Support System provides a valuable tool to foster extended discussions with experts and facilitate the decision process in this class of location problems. View Full-Text
Keywords: multi-criteria decision analysis; spatial decision support systems; analytic network process; locational analysis; stakeholder engagement multi-criteria decision analysis; spatial decision support systems; analytic network process; locational analysis; stakeholder engagement
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Crimi, A.; Jones, T.; Sgalambro, A. Designing a Web Spatial Decision Support System Based on Analytic Network Process to Locate a Freight Lorry Parking. Sustainability 2019, 11, 5629.

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