Construction Management, Disaster Risk Management and Reconstruction for Resilient and Sustainable Cities

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 30 May 2024 | Viewed by 5360

Special Issue Editors


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Guest Editor
Department of Civil Engineering and Architecture, Tallinn University of Technology, 19086 Tallinn, Estonia
Interests: risk in the built environment; construction management; disaster risk reduction; post-disaster (including post-conflict) reconstruction

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Guest Editor
Department of Building, Federal University of Technology, Minna 920101, Nigeria
Interests: disaster risk reduction and resilience of the built environment; programme management for post-disaster/conflict reconstruction; housing and humanitarian shelter; safe school initiative
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Special Issue Information

Dear Colleagues,

According to United Nations agencies, the number of people forcibly displaced from their homes has doubled to nearly 100 million (UNHCR) in the last decade, the number of international migrants was 280 million in 2020 - up from 150 million in 1990 (IOM), the average number of disaster events has doubled since 1990 to about 500 per year in 2020 and the economic losses associated with these disasters now averages US$200 billion per year (up from US$100 billion in 1995) (UNDRR). Conflict is also wreaking havoc - the Institute for Economics and Peace estimates that, in Syria alone, conflict has seen 17.5% of the nation's housing destroyed and nearly US$120 billion in damage to infrastructure. In Ukraine, a joint assessment by the World Bank, EU and the Government of Ukraine, estimated the costs of reconstruction and recovery to be US$349 billion in August 2022 and these continue to rise.

Whether we consider drivers (e.g. climate change, mass urbanization, geopolitical and civil tensions), events (the COVID-19 pandemic, earthquakes, storms), effects (social, economic, etc.) or solutions, the Built Environment is at the nexus of all these. Its construction and use are key energy consumers and sources of emissions - representing a third of global final energy use, generating nearly 40% of global greenhouse gas emissions and resource use - consuming half of total raw materials. The destruction, collapse or failure of buildings and infrastructure is often the mechanism by which conflicts are fought and disasters occur so that the human, social and economic costs are directly related to the extent of damage to the built environment. Post-conflict and post-disaster rehabilitation of communities is also inextricably linked to the provision of housing and infrastructure enabling access to (economic, health, education, etc.) services.

Construction management in the context of new facilities, renovation or refurbishment of existing ones or the reconstruction of damaged or destroyed buildings and infrastructure must adapt to address these challenges and deliver the resilient, sustainable and future-proof built environments that we need. In this Special Issue of Buildings, we aim to publish articles that explore and address the challenges and opportunities for positive change towards resilience and sustainability from a construction management perspective.

To this end, we are pleased to invite manuscripts for original research articles and reviews. Research areas may include (but are not limited to) the following:

  • Construction management and disaster risk management opportunities and challenges in pursuit of a resilient, sustainable and future-proof built environment.
  • Issues and innovations in the management of post-conflict and post-disaster reconstruction.
  • Optimisation of whole life social, economic and stakeholder value and utilization of the built environment through the construction and reconstruction processes.
  • Implications of climate change, mass displacement, mass urbanization, disasters and conflict on the built environment and the role of construction management in mitigating and responding to these.

We look forward to receiving your contributions.

Prof. Dr. Emlyn Witt
Dr. Abdulquadri Ade Bilau
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • construction management
  • built environment
  • disaster risk reduction
  • risk management
  • reconstruction
  • build back better
  • resilience
  • sustainability
  • Stakeholder value
  • circular economy

Published Papers (4 papers)

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Research

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17 pages, 3425 KiB  
Article
An Innovative Construction Site Safety Assessment Solution Based on the Integration of Bayesian Network and Analytic Hierarchy Process
by Lizhao Xiao, Llewellyn C. M. Tang and Ya Wen
Buildings 2023, 13(12), 2918; https://doi.org/10.3390/buildings13122918 - 23 Nov 2023
Viewed by 691
Abstract
The building construction industry in mainland China is distinguished by one of the highest accident rates and numbers of fatalities. Therefore, risk assessment plays a significant role in preventing safety incidents and economic losses. However, traditional risk assessment methods are mainly experience-based which [...] Read more.
The building construction industry in mainland China is distinguished by one of the highest accident rates and numbers of fatalities. Therefore, risk assessment plays a significant role in preventing safety incidents and economic losses. However, traditional risk assessment methods are mainly experience-based which could introduce significant uncertainties in accident chain estimation, quantitative analysis, and handling with uncertainty. Safety accidents are difficult to estimate, which might lead to inappropriate safety-related decision making. To solve this problem, an innovative quantitative analysis strategy has been developed, generating a loss index for various accidents in the construction site, based on the Bayesian Network and Analytic Hierarchy Process solution. In this solution, the contribution rate of every risk factor to a certain accident can be calculated. Based on those, the loss index of each construction site can be calculated by inputting current risk factors in the construction site. Moreover, the real-time loss index can be estimated which can help the management team with more accurate decision making compared with the traditional approaches. With this model, the safety situation on the construction site can be clarified and the risk priority can be analyzed according to the dynamic condition. Full article
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17 pages, 2243 KiB  
Article
Simulation Analysis of Supply Chain Resilience of Prefabricated Building Projects Based on System Dynamics
by Wei Liu and Zixuan Liu
Buildings 2023, 13(10), 2629; https://doi.org/10.3390/buildings13102629 - 18 Oct 2023
Cited by 1 | Viewed by 1415
Abstract
In light of the intricate dynamics and uncertain risk parameters inherent in the supply chains of prefabricated building projects, bolstering the resilience of these supply chains can substantially mitigate disruption risks and facilitate superior operational outcomes for involved enterprises. This study identifies key [...] Read more.
In light of the intricate dynamics and uncertain risk parameters inherent in the supply chains of prefabricated building projects, bolstering the resilience of these supply chains can substantially mitigate disruption risks and facilitate superior operational outcomes for involved enterprises. This study identifies key metrics emblematic of supply chain resilience within prefabricated building projects, spanning five critical resilience dimensions: predictive prowess, absorptive potential, adaptability, inherent resilience, and growth capability. Employing the Analytic Hierarchy Process (AHP) and system dynamics (SD), we formulate a resilience simulation model specific to these supply chains. Utilizing the Nanchang Yinwang Village Comprehensive Housing Community Project as a case study, we forecast the trajectory of supply chain resilience over a five-year span and simulate the resilience variations in response to diverse variable magnitudes. Our findings reveal a consistent upward resilience trend over the five-year period. Moreover, the resilience stature of the prefabricated building project supply chain exhibits variability under distinct variable shifts. Of all the subsystems, the most reactive secondary factors encompass risk cognizance, logistics support level, collaboration intensity, supply chain reconfiguration aptitude, and managerial strategic decision-making prowess. Notably, amplifying the absorptive potential of resilience yields the most profound enhancement in overall resilience. Full article
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17 pages, 2788 KiB  
Article
Analysis of Building Construction Jobsite Accident Scenarios Based on Big Data Association Analysis
by Ki-Nam Kim, Tae-Hoon Kim and Min-Jae Lee
Buildings 2023, 13(8), 2120; https://doi.org/10.3390/buildings13082120 - 21 Aug 2023
Cited by 1 | Viewed by 1224
Abstract
Although there have been many studies related to construction site safety that have tried to reduce accidents, no significant improvement has been reported. Because of the complex nature of construction work processes, it is important to have a scenario-based worksite safety management system [...] Read more.
Although there have been many studies related to construction site safety that have tried to reduce accidents, no significant improvement has been reported. Because of the complex nature of construction work processes, it is important to have a scenario-based worksite safety management system instead of reports such as safety guidelines and manuals. This study utilizes accumulated construction site accident big data, namely Construction Safety Management Integrated Information (CSI), to establish accident scenarios for different work types. To propose accident occurrence scenarios, the hazard profile managed by CSI and prior research analyses are employed for each work type and cause materials at the construction site. For accident occurrence association rules, we developed a framework based on Work Breakdown Structure–Risk Breakdown Structure (WBS-RBS) for reinforced concrete work, temporary work, and earthwork, considering 25,986 accident cases. Subsequently, association analysis was conducted to derive association rules for each work type. The accident occurrence scenarios were extracted by classifying work types (project type, activity type) and cause materials (object, location). The analysis generated 145 association rules, and 76 association rules for reinforced concrete work, temporary work, and earthwork work were extracted to derive accident scenarios, considering scenarios with high accident frequency. Furthermore, by establishing association rules between work processes, we derived accident types and occurrence rules frequently observed at construction sites. These rules formed the basis for constructing accident occurrence scenarios for each construction type based on WBS-RBS. These findings facilitate the development of appropriate safety management plans and effective accident countermeasures tailored to specific construction types and causes. The developed scenarios will help to improve construction site safety by providing useful information for safety managers and worker training. Full article
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Review

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41 pages, 3898 KiB  
Review
A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches
by Seyed Mohammad Khalili, Mohammad Mojtahedi, Christine Steinmetz-Weiss and David Sanderson
Buildings 2024, 14(1), 176; https://doi.org/10.3390/buildings14010176 - 10 Jan 2024
Viewed by 1071
Abstract
Increasing disasters in recent years have necessitated the development of emergency logistics plans. Evacuation planning plays an important role in emergency logistics management, particularly when it comes to addressing transit-dependent populations that are often neglected in previous studies. This systematic literature review explores [...] Read more.
Increasing disasters in recent years have necessitated the development of emergency logistics plans. Evacuation planning plays an important role in emergency logistics management, particularly when it comes to addressing transit-dependent populations that are often neglected in previous studies. This systematic literature review explores the current state of transit-based evacuation planning and examines the current gaps. We focused on transit-based evacuation planning problems that used optimisation and modelling approaches. This review conducts an extensive analysis of relevant studies to provide a comprehensive overview, identify research gaps, and outline future directions in the evacuation planning body of knowledge. Using an integrated systematic review methodology, a thorough search of the Scopus and Web of Science databases was conducted, resulting in a total of 538 articles. These articles were screened and evaluated based on predetermined inclusion and exclusion criteria, ultimately yielding 82 studies for final analysis. The findings highlight the growing importance of optimisation and modelling approaches within transit-based evacuation planning. Studies emphasize the integration of public transportation networks into evacuation strategies to enhance operational efficiency, optimize resource allocation, and ensure evacuee safety. Transit-based evacuation planning is vital for both those without personal vehicles, making evacuation more equitable, and vehicle owners, particularly in earthquakes where vehicles might be inaccessible or trapped, demonstrating its wide usefulness in all emergency scenarios. Various optimisation and modelling approaches have been employed in transit-based evacuation planning studies to simulate and analyse the flow of evacuees and vehicles during emergencies. Transit-based evacuation planning exhibits unique characteristics within disaster management, including the consideration of spatial and temporal dynamics of transit systems, integration of social and demographic factors, and involvement of multiple stakeholders. Spatial and temporal dynamics encompass transportation schedules, capacities, and routes, while social and demographic factors involve variables such as income, age, and mobility status. Stakeholder engagement facilitates collaborative decision-making and effective plan development. However, transit-based evacuation planning faces challenges that require further research and development. Data availability and accuracy, model validation, stakeholder coordination, and the integration of uncertainty and dynamic factors pose significant hurdles. Addressing these challenges necessitates advances in data collection, robust modelling frameworks, and improved communication and coordination mechanisms among stakeholders. Addressing these gaps requires interdisciplinary collaborations and advances in data analytics and modelling techniques. Full article
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