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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/32739

Title: Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims
Authors: Ballesteros-Perez, Pablo
Rojas-Cespedes, Yonatan Alexis
Hughes, Will
Kabiri, Shabnam
Pellicer, Eugenio
Mora-Melia, Daniel
del Campo-Hitschfeld, Maria Luisa
Keywords: Building
Productivity
Weather
Climate
Claims
Delays
Issue Date: 2017
Publisher: © Elsevier
Citation: BALLESTEROS-PEREZ, P. ...et al., 2017. Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims. Automation in Construction, 84, pp. 81-95.
Abstract: © 2017 Elsevier B.V. The 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.
Description: This paper was accepted for publication in the journal Automation in Construction and the definitive published version is available at https://doi.org/10.1016/j.autcon.2017.08.022
Sponsor: This research was supported by the CIOB Bowen Jenkins Legacy Research Fund at the University of Reading (H5405400).
Version: Accepted for publication
DOI: 10.1016/j.autcon.2017.08.022
URI: https://dspace.lboro.ac.uk/2134/32739
Publisher Link: https://doi.org/10.1016/j.autcon.2017.08.022
ISSN: 0926-5805
Appears in Collections:Published Articles (Architecture, Building and Civil Engineering)

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