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An Interactive Visualization Tool for Collaborative Construction Logistics Planning—Creating a Sustainable Project Vicinity
Linköping University, Sweden.
VTI Swedish National Road and Transport Research Institute, Sweden.
Linköping University, Sweden.
RISE Research Institutes of Sweden, Digitala system.
Vise andre og tillknytning
2022 (engelsk)Inngår i: Sustainability, E-ISSN 2071-1050, Vol. 14, nr 24, artikkel-id 17032Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The intensity of urban development is presently high, creating a construction boom. The number of transports per project is a major consideration in urban goods transport and emissions from a project. Presently, the stakeholders take part in a “blame game” in assigning fault for the emissions from construction transport and the disturbances to society in the vicinity of construction sites. Incorporation of logistics into urban planning requires an increased understanding of the interaction between construction transport flows and urban land use, and the inclusion of different stakeholders. The purpose of the study is to support collaborative planning of construction transport in urban planning, and specifically to explore how a planning tool based on interactive visualization could be designed. An action research process has generated two prototypes of an interactive visualization tool for collaborative planning of construction transport. The prototype facilitates a “shared deliberation space” by identifying alternatives and assessing predicted consequences, which supports a collaborative urban planning process. Based on the research conducted, we claim that the responsibility of construction transport planning should be taken by the municipality, i.e., the urban planning and traffic planning functions. © 2022 by the authors.

sted, utgiver, år, opplag, sider
MDPI , 2022. Vol. 14, nr 24, artikkel-id 17032
Emneord [en]
action research, collaborative planning, construction logistics, sustainable urban planning, visualization prototype
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-62391DOI: 10.3390/su142417032Scopus ID: 2-s2.0-85144988536OAI: oai:DiVA.org:ri-62391DiVA, id: diva2:1723942
Merknad

Funding details: VINNOVA, 2018-04114; Funding text 1: This work was supported by the Swedish Innovation Agency (VINNOVA) under Grant 2018-04114.

Tilgjengelig fra: 2023-01-04 Laget: 2023-01-04 Sist oppdatert: 2023-01-04bibliografisk kontrollert

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