Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims
https://orcid.org/0000-0002-4629-9664
https://orcid.org/0000-0002-6191-7299
https://orcid.org/0000-0003-2724-6257
AbstractThe influence of unforeseen, extreme weather in construction works usually impacts productivity, causes significant project delays and constitutes a frequent source of contractor's claims. However, construction practitioners cannot count on sound methods for mediating when weather-related claims arise, nor harnessing the influence of weather variability in construction projects. Building on the few most recent quantitative studies identifying those key weather agents and levels of intensity that affect some standard building construction activities, a new stochastic model that processes and replicates the spatio-temporal variability of combined weather variables is proposed. This model can help anticipate weather-related project duration variability; improving construction productivity by selecting the best project start date; and objectively evaluating weather-related claims. A two-building construction case study using different Spanish locations is used to demonstrate the model. The results showed that ignoring the influence of weather can lead to an extension of 5–20% longer project duration compared to planned.
HighlightsUnforeseen, extreme weather usually negatively impacts construction productivity.Practitioners could not count on sound methods for harnessing the weather effect.Key weather thresholds that affect construction activities are identified.A stochastic model that replicates spatio-temporal historical weather is proposed.Construction projects working weather-wise can be shortened 5–20% on average.
Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims
https://orcid.org/0000-0002-4629-9664
https://orcid.org/0000-0002-6191-7299
https://orcid.org/0000-0003-2724-6257
AbstractThe influence of unforeseen, extreme weather in construction works usually impacts productivity, causes significant project delays and constitutes a frequent source of contractor's claims. However, construction practitioners cannot count on sound methods for mediating when weather-related claims arise, nor harnessing the influence of weather variability in construction projects. Building on the few most recent quantitative studies identifying those key weather agents and levels of intensity that affect some standard building construction activities, a new stochastic model that processes and replicates the spatio-temporal variability of combined weather variables is proposed. This model can help anticipate weather-related project duration variability; improving construction productivity by selecting the best project start date; and objectively evaluating weather-related claims. A two-building construction case study using different Spanish locations is used to demonstrate the model. The results showed that ignoring the influence of weather can lead to an extension of 5–20% longer project duration compared to planned.
HighlightsUnforeseen, extreme weather usually negatively impacts construction productivity.Practitioners could not count on sound methods for harnessing the weather effect.Key weather thresholds that affect construction activities are identified.A stochastic model that replicates spatio-temporal historical weather is proposed.Construction projects working weather-wise can be shortened 5–20% on average.
Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims
https://orcid.org/0000-0002-4629-9664
https://orcid.org/0000-0002-6191-7299
https://orcid.org/0000-0003-2724-6257
AbstractThe influence of unforeseen, extreme weather in construction works usually impacts productivity, causes significant project delays and constitutes a frequent source of contractor's claims. However, construction practitioners cannot count on sound methods for mediating when weather-related claims arise, nor harnessing the influence of weather variability in construction projects. Building on the few most recent quantitative studies identifying those key weather agents and levels of intensity that affect some standard building construction activities, a new stochastic model that processes and replicates the spatio-temporal variability of combined weather variables is proposed. This model can help anticipate weather-related project duration variability; improving construction productivity by selecting the best project start date; and objectively evaluating weather-related claims. A two-building construction case study using different Spanish locations is used to demonstrate the model. The results showed that ignoring the influence of weather can lead to an extension of 5–20% longer project duration compared to planned.
HighlightsUnforeseen, extreme weather usually negatively impacts construction productivity.Practitioners could not count on sound methods for harnessing the weather effect.Key weather thresholds that affect construction activities are identified.A stochastic model that replicates spatio-temporal historical weather is proposed.Construction projects working weather-wise can be shortened 5–20% on average.
Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims
Ballesteros-Pérez, Pablo (Autor:in) / Rojas-Céspedes, Yonatan Alexis (Autor:in) / Hughes, Will (Autor:in) / Kabiri, Shabnam (Autor:in) / Pellicer, Eugenio (Autor:in) / Mora-Melià, Daniel (Autor:in) / del Campo-Hitschfeld, Maria Luisa (Autor:in)
Automation in Construction ; 84 ; 81-95
10.08.2017
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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