Decision support for improved construction traffic management and planning

Densifying cities continuously call for new construction, renovation and demolition projects, each generating vast amounts of heavy goods vehicle (HGV) transports. However, how construction transport affect the urban traffic network remains largely unexplored. This study bridges the knowledge gap on how to address 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 that rigorous construction transport planning which avoid peak-traffic hours can significantly alleviate traffic congestion. This study also emphasizes the need to combine all simultaneous construction projects’ demand when disturbances at municipality level are evaluated, alongside the impact on individual links and microenvironments. This study adds knowledge by visualizing the traffic impact during urban transformation.

• Record URL:
  • https://doi.org/10.1016/j.scs.2024.105305
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2210670724001331
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
• Supplemental Notes:
  • © 2024 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Brusselaers, N
  • Fredriksson, A
  • Gundlegård, D
  • Zernis, R
• Publication Date: 2024-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; Maps; References; Tables;
• Pagination: 105305
• Serial:
  • Sustainable Cities and Society
  • Volume: 104
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-6707
  • Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2

Subject/Index Terms

• TRT Terms: Cities; Construction projects; Decision support systems; Highway traffic control; Traffic models; Transportation planning
• Geographic Terms: Norrkoping (Sweden)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01915502
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 18 2024 10:27AM