Decision support for improved construction traffic management and planning
Bibliographic Data
| ID | 21232095 |
|---|---|
| Authors | N Brusselaers (0000-0003-4572-4080, corresponding author), Anna Fredriksson (0000-0001-7494-8134), David Gundlegård (0000-0002-5961-5136), R Zernis |
| Year | 2024 |
| Volume | 104 |
| Pages | 105305 |
| Publication date | 2024-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2024.105305 |
| OpenAlex | W4392184570 |
| Language | EN |
| Citations received | 1 |
| References cited | 44 |
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
Construction engineering · Decision support system · Operations research · Transport engineering · BIM and Construction Integration · Computer Science · Engineering · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Artificial Intelligence
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| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |