bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comparative of Component Resistance and Form Factor of Four Patrol Boat
Authors: Purnamasari Dian , Maulana Fariz , Suwarni Endah 
Published: February 2022

Abstract
The most common type of patrol boats is semi-displacement ships, the design of a 60 meters patrol boat has been built by several shipyards for the Indonesian Navy. Four patrol boats model were retested at the Indonesian Hydrodynamic Laboratory for a resistance test. Based on resistance test, the total resistance components of the model were decomposed into the individual resistance components. The scale ratio effects and form factor were investigated. This study was undertaken to determine the form factor using Prohaska method. The frictional resistance coefficient of the model is calculated based on ITTC correlation line proposed by ITTC 57 and the residual resistance coefficient is derived for each model test. Result of this study show L/B ratio of model ship gets larger, on otherwise the value of the form factor k is smaller. Frictional resistance coefficient (C
F) becomes smaller when Reynolds number becomes greater. The residual resistance coefficients (C
R) of the model decrease while the size of the model ship increases. this study reveals the relationship between the changes in frictional resistance coefficient (C
F) and residual resistance coefficient (C
R) caused by the scale ratio.
A Systematic Literature Review of Influencing Factors and Strategies of Artificial Intelligence Adoption in the Construction Industry
Authors: Tjebane M M , Musonda I , Okoro C S 
Published: February 2022

Abstract
The construction industry has seen an increase in Artificial Intelligence(AI) in recent years, a paradigm shift in many industries. It puts under pressure for technological advancement. Therefore, AI is under great attention in the construction industry as a new strategic paver. This paper adopts a systematic literature review (SLR) approach and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to observe and understand the influencing factors and strategies for AI adoption. The SLR for AI-related research carried out between 2010 and 2020. Data was collected from ASCE Journals, Emerald Insight, Elsevier ScienceDirect, Engineering Village, Google Scholar, ICE virtual library, IOPscience, IEEE Xplore, ScienceDirect, Scopus, SpringerLink and Taylor & Francis. The paper identifies and classifies the new developments in AI research, making its implementation and adoption a reality in the construction industry. This review has the potential for construction industry stakeholders, especially those in developing countries, to utilise the accumulated evidence from selected systematic reviews to enable the usage of AI for infrastructure development
Integrated Prescriptive Maintenance System (PREMSYS) for Construction Equipment Based on Productivity
Authors: Petroutsatou K , Ladopoulos I 
Published: February 2022

Abstract
It is now imperative to create smart systems that prevent mechanical damage through timely preventive maintenance, particularly in construction projects with strict time schedules and budgets. Construction equipment is the largest capital investment for construction companies. Proper maintenance is of major importance for efficiency, productivity, minimization of equipment costs, and environmental management. The aim of this study is to propose an integrated smart system that will monitor the condition based on productivity of the equipment and will provide diagnostic data, helping to optimize the production process, achieve timely maintenance and increasing the expected “economic” life of the equipment. At the same time, it will positively provide the concept for sustainable or green construction with the minimization and elimination of harmful effects on the environment and on the human. The system will include sensors, placed on specific construction equipment components, and will collect measurements for their use and condition, through real-time data export. These data will then be sent using wireless networks to a main server. Extraction of performance measurements and machine learning (ML) data processing will determine when the equipment needs predictive maintenance and repair. Proper, timely and prescriptive maintenance of construction equipment will reduce their environmental footprint and any human harmful emissions, while saving energy during their operating phase and optimizing production processes through monitoring “dead” time.
IoT System for Maintenance Monitoring of Historic Buildings – Smart Monitoring
Authors: Vidovszky I , Pintér F 
Published: February 2022

Abstract
Maintenance monitoring is an essential task in the field of preservation of historic buildings. The continuously developing IoT-based systems for monitoring already exist in many areas, like the maintenance of complicated mechanical systems or large industrial facilities, but there are only a few examples of the application of such methods in the field of cultural heritage preservation. In this paper, the possible elements and system of an automatized maintenance monitoring network are tested by analyzing the possible options of the survey units and the system to be established in cases of altering circumstances of the investigated site, highlighting the factors which have to be considered in the case of developing a network on-site. Finally, typical application cases were distinguished, and configuration options were suggested for the automated maintenance monitoring systems.
Blueprint for Construction 4.0 Technologies: A Bibliometric Analysis
Authors: Ammar A , Nassereddine H 
Published: February 2022

Abstract
To survive in an increasingly complex environment, the Architectural, Engineering and Construction (AEC) industry needs a game-changing innovation. As, the industrial sector has provided compelling evidence that Industry 4.0 gives the opportunity to gain competitive advantages, the construction industry started embracing what is now acknowledged as Construction 4.0. While Building Information modeling (BIM) has been extensively discussed and is perceived as a core enabler of Construction 4.0, this next revolution in the AEC industry goes beyond BIM. As Construction 4.0 is gaining momentum in the construction body of knowledge, there is still no consensus on what Construction 4.0 really means and what technologies it encompasses. Building on insights collected from the extant research corpus through a systematic literature review of the published scientific research in the last ten years, this paper proposes a blueprint for Construction 4.0. Bibliometric analysis was employed to map the currently discussed Construction 4.0 technologies, group them into clusters based on their occurrences, and determine the least researched ones. This blueprint sheds light on how well-defined the concept of Construction 4.0 is, detects the least researched technologies, and provides AEC stakeholders with a reference to better understand this transformation and where it stands today.
Creating a tiny home building code to positively affect long-term sustainability
Authors: Boyer K , Simons A 
Published: February 2022

Abstract
There is an ongoing effort in the tiny home construction industry in the United States to create a tiny home specific building code. To date, there has been little data collected to reflect how the creation of a building code could affect the tiny home industry. Mixed methods research was conducted, utilizing both quantitative and qualitative data. Interviews were conducted with tiny home experts, builders, owners, advocates, insurers, financers, and building officials. The results of the research indicated that creating a tiny home building code would positively affect the sustainability of the tiny home movement. Of the different types of tiny homes identified in the research, those associated with tiny homes on wheels (THOW) would likely benefit the most from a creation of a tiny home specific building code. The majority of those surveyed (76%) were in support of creating a THOW specific building code. Five main categories were identified as necessary for inclusion in a THOW specific building code including trailer foundations, trailer to structure connections, framing, electrical, and sanitation. Eleven subcategories, or specific items, were identified as essential for inclusion in a THOW specific building code. Future research should validate the data collected and ensure all pertinent code items are addressed.
A Theoretical Assessment of the Impacts of Poor Maintenance of Public Infrastructure
Authors: Matse Ncamiso , Mashwama Nokulunga Xolile , Thwala Didibhuku , Aigbavboa Clinton 
Published: February 2022

Abstract
The study examines previous literature on the impacts of poor maintenance of public infrastructure in the Kingdom of Eswatini. In the past two decades the kingdom of Eswatini has experienced a huge growth of public building development. Construction of new facilities alone is not enough but the most critical activities in public buildings is to provide adequate and proper maintenance for the structures to accomplish their intended purpose. It is worth noting that building maintenance prevents accumulated decay and deterioration, which is contributing to health concerns and reducing the profitability of occupants. Therefore, absence or poor performance of facility management in an institution is accompanied by negative impacts. Moreover, to correct these negative consequences a massive financial cost and worst severe financial loss would be generated to those institutions concerned. The study is conducted with reference to existing theoretical literature, published and unpublished research. The study is mainly a literature review on the impacts of poor maintenance of public infrastructure. One of the primary findings regarding the impact of poor building maintenance are: that it reduces the value of existing public buildings and it also increases budgets for untreated maintenance faults, increased costs for emergency repairs, insufficient provision and delivery of public services. The study explores the effects of poor maintenance of public infrastructure and presents a robust background on the theories of poor infrastructure maintenance. This study will enable the public facility management and the government at large to know the importance of maintaining a building.
Analysis of Challenges to BIM Adoption in Mega Construction Projects
Authors: Akcay E C 
Published: February 2022

Abstract
Megaprojects are large-scale and complex investments, including a long construction period, as a result need efficient management skills during their life cycle. The success rate of the megaprojects is lower compared to the traditional projects due to their complex characteristics. By adopting new technologies, such as Building Information Modeling (BIM), more efficient project management can be performed for mega construction projects. Hence, the success of projects could be increased in terms of time, cost and quality. In this study, the challenges to BIM implementation in mega construction projects are investigated. To achieve this aim, the challenges for BIM adoption extracted through a literature review. Then, a questionnaire survey was designed to collect the data from practitioners. Furthermore, the challenges were analyzed using descriptive statistics.
Assessment of existing BIM implementation processes of a public organization to improve building assets management and maintenance
Authors: Boufares N , Motamedi A , Iordanova I , Forgues D 
Published: February 2022

Abstract
In the lifecycle of a building, the longest phase is generally that of operation and maintenance (O&M). The data needed to support O&M is mainly generated during the design, construction, and commissioning of the built asset phases. However, the extraction and transfer of relevant O&M data from the project documents remain a major issue in that it is time consuming and error prone. Nowadays, Building Information Modeling (BIM) allows different project team members to collaborate and share building data in real time. However, as-built models handed-over to the asset management team are quite voluminous and usually lack the necessary information for the O&M phase. This is due to an absence of O&M information requirements specification, and the lack of compliance monitoring and control during the project. This paper presents an action research focused on the issues encountered by a public building owner to manage their BIM processes. It demonstrates issues of BIM readiness and capabilities, both at the project and O&M levels, by mapping the gaps in the existing processes. Building owners rely on the design professionals’ expertise to guide them but do not have the adequate resources, knowledge, and tools to ensure the quality of the models delivered regarding O&M requirements. Major issues in the management of information for O&M were identified, and some recommendations are proposed.
Platforms - A Novel Paradigm of Construction Collaboration
Authors: Turk Žiga , Giddey Mewail , Klinc Robert 
Published: February 2022

Abstract
Business and innovation models based on an idea of a digital platform have revolutionized information technology use in many consumer areas where uptake of IT would have otherwise been slow. Slow is also the uptake of information technology in construction. The hypothesis of this paper is that the delivery mechanism for technology has not been the most suitable one and that this can be improved upon – using the digital platforms. Term platform has been used before. In this paper we define the concept of a digital construction platform. We then analyse their potential in construction processes, focusing on construction design. The paper contributes to the understanding of an emerging new paradigm for the delivery, marketing, and innovation in digital technology in construction. Follow up work will examine the platforms from the structure-function-behaviour perspective and present their architectural foundations.
Reflections on the Performance of South Africa’s Construction Industry: Hope Beyond Covid-19 Effects
Authors: Dithebe K , Thwala W D , Aigbavboa C , Madumelane B 
Published: February 2022

Abstract
South Africa’s economic activity has declined in recent years owing its troubles to years of policy uncertainty, bad governance, corruption and limited budget and finance for the development of infrastructure. The woes are no different to the ones experienced by the construction industry. It must be categorically stated that the woes currently experienced by the industry did not begin with the effects of the coronavirus pandemic. The pandemic was simply the last nail to the coffin. The study thus provides a clear reflection on the dynamics and challenges that were encountered by the industry, with the hope of resuscitating it to what is used to be – a key sector in growing South Africa’s economy. A quantitative approach was adopted. Reviewed literature formed basis of secondary data whilst the distribution of a close-ended questionnaire to construction professionals, economists and researchers formed the basis of primary data collection. Snowballing sampling technique was employed. A total of 77 questionnaires were returned. SPSS was used to analyse data using mean item scores to determine the level of agreement between respondents. From the results it was clear that corruption and fraudulent activities contributed significantly to the progression of South Africa’s construction industry. Unregulated adoption of technology, political uncertainty and non-compliance to laws and safety standards emerged as key factors affecting the productivity of the industry. The adoption of advanced technologies such as robots and automated machines need to be formally regulated by government to be inclusive, this requires inclusive procurement practices to SMMEs and policy certainty and decisiveness from government. Government must be able to inform or direct business, firms who do not comply state departments must impose fines or sanctions (from bidding for government projects in the future).
Relationship between real estate and stock market during the coronavirus crises in the Czech Republic
Authors: Holcman J , Prostejovská Z 
Published: February 2022

Abstract
This paper deals with the relationship between the residential house price index and the stock markets at the time of the coronavirus pandemic in 2020. The research focuses primarily on the real estate market in the Czech Republic and the development of the Prague Stock Exchange index. The period from 2007 to the end of 2020 is monitored. The subject of the examination is not the assessment of the severity or type of crisis, only the development of markets and their shocks. House price index (HPI) and stock market indices are used for consistent analysis. To find a broader context the mortgage interest rate and the unemployment rate are used. With the help of correlation and analysis of implemented government measures, the basic conditions for the development of indices and measures are sought. Government measures are not only aimed at local conditions, but often also affect cooperation in international trade and traveling. The aim is to evaluate the degree of dependence of the development of real estate and stock markets on measures implemented to reduce the effects of the crisis. The reason is also the fact that there are many common variables (tradable banking companies, local and international investors, etc.).
Stigmatized Properties: Filter Theory
Authors: Hajnal I 
Published: February 2022

Abstract
International literature does not treat stigmatized properties in a uniform manner. In the proposed article, the Author employs the following definition: “A stigmatized property is one assigned with a real or perceived negative external effect on the users. That external effect modifies or reduces property market value through a specific, multilayered filter.” Many property-related stigma cases are mentioned in the literature, such as high-voltage lines, noise, air pollution, airports, haunted properties, and many other similar situations. The various stigmas, as well as identical stigmas on different properties, have been assessed individually so far. Knowing the depreciating mechanism of a stigma allows for valuers the uniform handling of stigmas on different properties, as well as understanding the depreciating mechanisms of new stigmas. Using extensive literature research on various stigma cases, the Author built up a framework that explains the major variables and their interdependencies. As the result of the research, the new theory describes the change in value caused by the stigma takes place through a filter that combines the distance between the stigmatizing factor and the stigmatized property, the environmental conditions and community perceptions and interprets them differently over time.
Success Factors in Projects
Authors: Ktaish Bilal , Hajdu Miklós 
Published: February 2022

Abstract
The literature of project success is very wide one. Various articles focus on the evolution of the understanding of project success. Most of the projects we hear of in media are either over budget, late or are simply not good enough and still different lobbies of people claim that those projects have been successful. Neither the practitioners nor the academicians seem to agree on what constitutes project success. It seems to be a rather elusive concept. This paper attempts to put forth the points of views of different researchers in this field and focuses primarily on the factors that affect the project outcome regardless of the type of project. Two sets of factors contributed to successful outcome of a project: the macro and micro factors. A set of macro includes the realm of the owner, while micro factors fall in construction domain. Other factors were grouped into four areas: factors related to: project, project manager and team, organization, and the external environment. More factors were investigated by other researchers, factors including applied methods, individuals in projects, and organizational context. Therefore, every party in the project has its own perception thus forming different criteria of project success. These differences of perception explain the reason why the same project could be considered a success by one and unsuccessful by another.
System-theoretical Approach to Fundamental Limits of Controllability in Complex Organization Networks
Authors: Eber Wolfgang 
Published: February 2022

Abstract
Organisation is fundamentally based on elaborating the equilibrium of two contradicting forces. An increasing degree of separation of work leads to specialisation and therefore significant increase of productivity in terms of time and cost. This advantage is compensated for by the therewith rising effort required to define, shape and delegate the subtasks to the different players and have them well-informed, coordinated and motivated to successfully contribute to the overall project. The well-known and common approaches to optimize division of work are mainly based on strict hierarchical structures like work breakdown structures in order to perfectly identify work-packages and their respective interfaces. Control loops are then established maintaining the certainty to achieve the previously defined results of the subtasks so that they will perfectly fit and will be ready to flawlessly form the total product. However, this traditional approach presupposes perfectly defined stable and separable systems as well as perfectly operating controlling mechanisms. As soon as some imperfection of either of these is given, which can be safely assumed in reality, the method is bound to fail principally. With this paper, we propose a system-theoretical framework modelling in particular a local imperfect however controlled situation and providing the principal limits on a mathematical basis as well as allowing for means for a practical approach. Organisations are represented by slightly contradicting systems while interactions as well as controlling mechanisms are given by first and second order differential equations according to the Theory of Systems. The resulting long-term behavior of the model, optimally avoiding oscillating and probably escalating development, indicates the principal limits of controllability. We find that the concepts of Lean Construction mainly address exactly these requirements and therefore find their formal justification including some quantitative framework.