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Decision support for improved construction traffic management and planning
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4572-4080
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7494-8134
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5961-5136
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2024 (English)In: Sustainable cities and society, ISSN 2210-6707, Vol. 104, article id 105305Article in journal (Refereed) Published
Sustainable development
Environmental work
Abstract [en]

Densifying cities continuously call for new construction, renovation and demolition projects, each generating vast amounts of heavy goods vehicle (HGV) transports. However, how construction transportation affects the urban traffic network remains largely unexplored. This study addresses spatiotemporal network impacts from construction transport, by leveraging traditional traffic and transport simulation. To this end, a framework is presented including (i) a simulation model to compute traffic effects caused by varying off-site construction site transport demands, and (ii) conceptual applications of the simulation model showing construction logistic planning strategies to mitigate congestion disturbances. Simulations are conducted in MATSim using detailed secondary datasets describing site-specific transport arrivals from a case of six projects in Norrköping, Sweden. Subsequently, increasing transport demands were assessed on various time-window arrival scenarios against the baseline schedule, which can be used as decision support in urban planning. Results highlight how rigorous construction transport planning avoiding peak-traffic hours can significantly alleviate traffic congestion. This study also emphasizes the need to combine all simultaneous construction projects’ demands when evaluating disturbances on city-level, alongside the impact on individual links and microenvironments. This study adds knowledge by visualizing the traffic impact during urban transformation.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 104, article id 105305
Keywords [en]
Construction transport, Traffic modeling, Decision support, Logistic planning, Congestion
National Category
Transport Systems and Logistics Construction Management
Identifiers
URN: urn:nbn:se:liu:diva-201806DOI: 10.1016/j.scs.2024.105305ISI: 001211455900001OAI: oai:DiVA.org:liu-201806DiVA, id: diva2:1846647
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VinnovaAvailable from: 2024-03-25 Created: 2024-03-25 Last updated: 2024-08-19

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Brusselaers, NicolasFredriksson, AnnaGundlegård, DavidZernis, R.
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