Towards a Collaborative Geographical Information System to Support Collective Decision Making for Urban Logistics Initiative

This paper describes how a Geographical Information System (GIS) applied to urban logistics can be used for modelling complex urban freight situations, such as those related to the ‘last mile deliveries’. It also highlights the fact that combining a GIS with tangible technologies enables creating a...

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Published inTransportation research procedia (Online) Vol. 12; pp. 634 - 643
Main Authors Guerlain, Cindy, Cortina, Stéphane, Renault, Samuel
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2016
Subjects
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ISSN2352-1465
2352-1465
DOI10.1016/j.trpro.2016.02.017

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Abstract This paper describes how a Geographical Information System (GIS) applied to urban logistics can be used for modelling complex urban freight situations, such as those related to the ‘last mile deliveries’. It also highlights the fact that combining a GIS with tangible technologies enables creating a collaborative tool that can be used by a wide range of logistics stakeholders, even the non-specialists. It is explained how this collaborative GIS has been subject to experimenting in workshops related to urban logistics in European cities (London, Brussels and Luxembourg). The specific case study of Luxembourg is detailed. Finally, the paper stresses the key benefits of such a collaborative GIS, namely to foster discussions around specific topics and to make collective decisions.
AbstractList This paper describes how a Geographical Information System (GIS) applied to urban logistics can be used for modelling complex urban freight situations, such as those related to the ‘last mile deliveries’. It also highlights the fact that combining a GIS with tangible technologies enables creating a collaborative tool that can be used by a wide range of logistics stakeholders, even the non-specialists. It is explained how this collaborative GIS has been subject to experimenting in workshops related to urban logistics in European cities (London, Brussels and Luxembourg). The specific case study of Luxembourg is detailed. Finally, the paper stresses the key benefits of such a collaborative GIS, namely to foster discussions around specific topics and to make collective decisions.
Author Renault, Samuel
Guerlain, Cindy
Cortina, Stéphane
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Keywords urban logistics
geographical information system
last mile
urban freight
intelligent transport system
collective decision
tangible interface
Language English
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– reference: Hall, G.B., Moore, A., Knight, P., Hankey, N., (2009). The extraction and utilization of local and scientific geospatial knowledge within the Bluff oyster fishery, New Zealand. Journal of Environmental Management, Collaborative GIS for spatial decision support and visualization 90, (pp. 2055-2070). doi:10.1016/j.jenvman.2007.08.022.
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SubjectTerms collective decision
geographical information system
intelligent transport system
last mile
tangible interface
urban freight
urban logistics
Title Towards a Collaborative Geographical Information System to Support Collective Decision Making for Urban Logistics Initiative
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