Weather-Delay Simulation Model Based on Vertical Weather Profile for High-Rise Building Construction

Jung, Mi-Ra; Park, Moonseo; Lee, Hyunsoo; Kim, Hyunsoo

doi:10.1061/(asce)co.1943-7862.0001109

Cited by 50 publications

(65 citation statements)

References 20 publications

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“…The results show that, for the minimums of two, three, and four papers of an author, 138, 43, and 12 authors met the criteria. This shows that a limited number of authors continuously or frequently contribute to the delay literature, including Lee, H. S. [50][51][52][53], Park, M. [50][51][52][53], Yap, J. B. H. [54][55][56][57][58], Abdul-Rahman, H. [55,57,59,60], and Enshassi, A.…”

Section: Bibliography Analysismentioning

confidence: 97%

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

et al. 2019

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Delay is one of the main challenges of construction projects, and there is still much to overcome in order to reach near zero delay in all construction projects. This project aims to conduct a systematic critical review including a bibliography analysis on delay literature in construction. The main questions consider what has been learnt from a decade investigating delay causes and effects in the construction literature and what factors have been missed in the literature. This paper also presents a new and challenging question regarding how digital tools and associated technologies may prevent any delay in construction projects, which can change the research direction from delay investigations to identifying prevention factors. The paper identifies the delay dataset, including 493 papers investigating delay in construction, and establishes a specific dataset of papers focusing on delay effects and causes (DEC), including 94 selected papers covering different factors examined in over 29 countries such as Iran, India, Turkey, Bangladesh, Saudi Arabia, the United Arab Emirates (UAE), Cambodia, Oman, Malaysia, Taiwan, China, Vietnam, the US, the UK, and Egypt. In addition, the paper identifies 30 critical factors with the frequency of occurrences over three times in the DEC dataset and computes their medians of ranking. This paper also discusses digital tools and methods that can be used for delay analysis and preventions, including MS Project, Oracle Primavera P6, and Open Plan by Deltek. The paper discusses the project schedule delay analysis from project management methodology perspectives. It also discusses the current method's limitations and future directions, which are based on the identification of the deficiency areas. In total, four overlooked factors are identified and suggested, including faulty data analysis, unmatched structure of the research questionnaires with new knowledge and standards [e.g., Project Management Body of Knowledge (PMBOK)], overlooked effects of digital technologies [e.g., Digital twin, Navisworks, Building Information Model (BIM), Geographic Information System (GIS), and Integrated Project Delivery (IPD)], and ignored job-site technologies. In addition, the paper presents the DEC model for future studies, including four main key factors. These factors are resources (e.g., project budgets, labour, material, equipment, and digital tool), project context, stakeholders performance (e.g., owner/client, consultant/designer, contractor, vendor/supplier), and external factors (e.g., ground condition, site location, regulation, natural disaster), which may significantly affect delay prevention and should be concurrently considered in the future delay investigations, since they may be required for designing an effective mitigation strategy when these proof points are identified. This would significantly help to utilise digital systems to prevent time overruns in different construction contexts. Several cases of 24 projects were delayed more than 100% of contract duration [44]. Indonesia 38% o...

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Section: Bibliography Analysismentioning

confidence: 97%

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

et al. 2019

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“…Rainfall pattern was simulated with a first-order Markov chain, and rainfall intensity was simulated with gamma distribution in a Simphony simulation environment. Jung et al (2016) proposed a simulation-based weather delays evaluation method considering altitudinal variations in the weather conditions for high-rise building construction projects. A weather generation model based on k-nearest neighbor time-series method and vertical weather profiles was developed.…”

Section: Quantification Of Rainfall Impact On Schedulementioning

confidence: 99%

“…Jung et al. () proposed a simulation‐based weather delays evaluation method considering altitudinal variations in the weather conditions for high‐rise building construction projects. A weather generation model based on k‐nearest neighbor time‐series method and vertical weather profiles was developed.…”

Section: Introductionmentioning

confidence: 99%

Earth Dam Construction Simulation Considering Stochastic Rainfall Impact

Zhang

Zhong

et al. 2017

Computer aided Civil Eng

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Effective construction scheme planning is critical for schedule management, but heavy rain can affect construction processes. In previous studies, stochastic rainfall characteristics are often ignored, and their impact on macro‐ and microconstruction states are not depicted comprehensively. This research presents a construction simulation model to design reasonable construction schemes considering impact of stochastic rainfall. First, a rainfall model suitable for areas with heavy rainfall and uneven seasonal rainfall distribution is built. Then, multiaspect indicators are defined to intuitively quantify rainfall impact. Two case studies are conducted to evaluate applicability of the proposed method. Results demonstrate that the developed rainfall model aligns closely with observed data. Simulation findings reveal that if stochastic rainfall characteristics are ignored, the schedule and queuing probability of trucks will be underestimated, while machinery utilization will be overestimated. This research provides an effective simulation tool for determining adaptive measures to mitigate impacts of rainfall events.

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“…Taking account of foreseeable weather is more frequently practised during the construction phase of special projects such as long, exposed bridges or high-rise buildings (Tanijiri et al 1997, Jung et al 2016. These types of projects normally have large budgets, and thus they are more likely to have resources for monitoring how and when on-site weather will cause changes to scheduled activities.…”

Section: Introductionmentioning

confidence: 99%

“…When categorizing the impact of weather, it is common to differentiate between foreseeable and unforeseeable weather (Tian and De Wilde 2011), as well as extreme and non-extreme (but generally combined) weather events (Jung et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Incorporating the effect of weather in construction scheduling and management with sine wave curves: application in the United Kingdom

Ballesteros‐Pérez

Smith

Lloyd-Papworth

et al. 2018

Construction Management and Economics

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The impact of (adverse) weather is a common cause of delays, legal claims and economic losses in construction projects. Research has recently been carried out aimed at incorporating the effect of weather in project planning; but these studies have focussed on either a narrow set of weather variables, or a very limited range of construction activities or projects. A method for processing a country's historical weather data into a set of weather delay maps for some representative standard construction activities is proposed. Namely, sine curves are used to associate daily combinations of weather variables to delay and provide coefficients for expected productivity losses. A complete case study comprising the construction of these maps and the associated sine waves for the UK is presented along with an example of their use in building construction planning. Findings of this study indicate that UK weather extends project durations by an average of 21%. However, using climatological data derived from weather observations when planning could lead to average reductions in project durations of 16%, with proportional reductions in indirect and overhead costs. ARTICLE HISTORY

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Weather-Delay Simulation Model Based on Vertical Weather Profile for High-Rise Building Construction

Cited by 50 publications

References 20 publications

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

Delay Causes and Emerging Digital Tools: A Novel Model of Delay Analysis, Including Integrated Project Delivery and PMBOK

Earth Dam Construction Simulation Considering Stochastic Rainfall Impact

Incorporating the effect of weather in construction scheduling and management with sine wave curves: application in the United Kingdom

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