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Bon-Gang Hwang
Department of the Built Environment, School of Design and Environment, National University of Singapore, 4 Architecture Drive, 117566, Singapore

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Journal article
Published: 31 July 2021 in Journal of Cleaner Production
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As the residential building sector is a significant contributor to global energy consumption, new energy-saving interventions have emerged, including the innovative market-based intervention – Household Energy-saving Option (HESO). This study is one of the first studies investigating the influencing factors of tenants' adoption intention of HESO from the psychological perspective. Through conducting surveys in 311 public housing units in Singapore, the psychological attributes influencing households’ adoption intention of HESO were identified. The results showed that perceived value is the dominant direct contributor (β = 0.715) to the adoption intention. Specifically, by further decomposition of perceived value, perceived usefulness has been proved to be the strongest contributor of the perceived value, with the influencing power of 0.416. Moreover, a negative moderating effect (β = −0.079) of perceived risks on the relationship between perceived value and adoption intention was examined. The findings provided decisive insights for policymakers to facilitate market-based energy-saving interventions at the neighborhood level, thus contributing to achieving successful energy efficiency solutions.

ACS Style

Qian Xu; Bon-Gang (Bg) Hwang; Yujie Lu. Households’ acceptance analysis of a marketized behavioral intervention - Household energy-saving option. Journal of Cleaner Production 2021, 318, 128493 .

AMA Style

Qian Xu, Bon-Gang (Bg) Hwang, Yujie Lu. Households’ acceptance analysis of a marketized behavioral intervention - Household energy-saving option. Journal of Cleaner Production. 2021; 318 ():128493.

Chicago/Turabian Style

Qian Xu; Bon-Gang (Bg) Hwang; Yujie Lu. 2021. "Households’ acceptance analysis of a marketized behavioral intervention - Household energy-saving option." Journal of Cleaner Production 318, no. : 128493.

Journal article
Published: 24 April 2021 in Sustainable Cities and Society
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Given the rapid increase of residential energy consumption worldwide, promoting energy-saving behaviors in residential buildings is essential. To address this issue, this research provides an assessment of the impact of — Household Energy-Saving Option (HESO), an innovative intervention to promote energy conservation, on household energy-saving behaviors. The proposed research model was tested using 101 valid questionnaires from households in Singapore. The results indicate that HESO effectively encouraged household energy-saving behaviors. The determinants of the energy-saving intention and behaviors under the influence of HESO were further investigated from the perspective of behavioral theories by structural-equation modelling. The results showed that personal norm had the strongest influence of 0.692 on households’ energy saving behavioral intention. In addition, perceived behavioral control was not only responsible for the behavioral intention by 0.399 but also associated with the energy-saving behaviors by 0.477. Individuals’ risk preference negatively moderated the relationship between personal norm and behavioral intention, and the relationship between perceived behavioral control and energy-saving behaviors, respectively. This study contributes to the literature by providing an understanding of the effectiveness and influencing paths of HESO on household energy-saving behaviors. The findings yield decisive implications for implementing HESO into communities to reduce household energy consumption.

ACS Style

Qian Xu; Bon-Gang Hwang; Yujie Lu. Influencing Paths of the Behavior-Driven Household Energy-Saving Exploring the influencing paths of the behavior-driven household energy-saving intervention—Household Energy-Saving Option. Sustainable Cities and Society 2021, 71, 102951 .

AMA Style

Qian Xu, Bon-Gang Hwang, Yujie Lu. Influencing Paths of the Behavior-Driven Household Energy-Saving Exploring the influencing paths of the behavior-driven household energy-saving intervention—Household Energy-Saving Option. Sustainable Cities and Society. 2021; 71 ():102951.

Chicago/Turabian Style

Qian Xu; Bon-Gang Hwang; Yujie Lu. 2021. "Influencing Paths of the Behavior-Driven Household Energy-Saving Exploring the influencing paths of the behavior-driven household energy-saving intervention—Household Energy-Saving Option." Sustainable Cities and Society 71, no. : 102951.

Article
Published: 21 March 2021 in Quality & Quantity
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Competition in global service markets is becoming very intense. Therefore, enhancing customer satisfaction has become a serious undertaking for service companies, especially for cross-nation providers, to exploit global business opportunities. However, few studies have compared customer satisfaction associated with apartment building management and maintenance services (abbreviated as BMMS) in different regions. Cross-region comparison of the customer satisfaction and service quality of the BMMS sector will give a better understanding of the strategies deployed by cross-nation service providers to improve and enhance service quality and customer satisfaction. The purpose of this study is to investigate service quality and resident satisfaction so as to explore strategies for efficiently enhancing resident satisfaction and identify the varying strategies applied in Southern Korea and Taiwan. Resident satisfaction models of the two regions derived according to the structural equation modeling approach were compared and discussed and the results of comparisons between the two models show that the complaints construct has the most significant effect on customer satisfaction. In addition, this study demonstrates a process for exploring appropriate actions to effectively improve residents’ satisfaction level.

ACS Style

Yao-Chen Kuo; Youngki Huh; Bon-Gang Hwang. A Comparative analysis of residents’ satisfaction with apartment building management and maintenance services in South Korea and Taiwan. Quality & Quantity 2021, 1 -18.

AMA Style

Yao-Chen Kuo, Youngki Huh, Bon-Gang Hwang. A Comparative analysis of residents’ satisfaction with apartment building management and maintenance services in South Korea and Taiwan. Quality & Quantity. 2021; ():1-18.

Chicago/Turabian Style

Yao-Chen Kuo; Youngki Huh; Bon-Gang Hwang. 2021. "A Comparative analysis of residents’ satisfaction with apartment building management and maintenance services in South Korea and Taiwan." Quality & Quantity , no. : 1-18.

Research article
Published: 07 December 2020 in Sustainable Development
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Recent studies on workforce diversity have preached that workforce diversity could have a positive impact on productivity if it is managed and utilized well. Due to the global trend of increasing workforce diversity in construction projects, it is crucial to understand the factors affecting workforce diversity and their impact on productivity for developing a sustainable environment for workforce diversity. However, little attention has been given to how workforce diversity may affect productivity performance in the construction industry. Thus, this study aims to assess the impact of workforce diversity on project productivity performance (PPP). Twenty‐one diversity factors were identified via literature review and validated by industry experts, followed by a survey conducted with 58 firms working in Singapore. The responses were analyzed and used to develop a partial least squares structural equation model. The outcomes from the model signified that the diversity aspects such as efficient decision‐making and countering the issue of skilled labor shortages had the highest impact in their respective categories of “Skill and education” and “Age and experience.” Therefore, this study contributes to the core body of knowledge and practice both in defining workforce diversity factors and in assessing the relationship between diversity factors and productivity. Furthermore, feasible strategies that match the factors prioritized by the level of the impact on PPP were proposed. These can help construction organizations to understand the untapped potential of workforce diversity and its impact on PPP, ultimately enhancing the productivity of the industry and sustainable diversity in the workplace.

ACS Style

Daeyoun Won; Bon‐Gang Hwang; Soo Jing Chng. Assessing the effects of workforce diversity on project productivity performance for sustainable workplace in the construction industry. Sustainable Development 2020, 1 .

AMA Style

Daeyoun Won, Bon‐Gang Hwang, Soo Jing Chng. Assessing the effects of workforce diversity on project productivity performance for sustainable workplace in the construction industry. Sustainable Development. 2020; ():1.

Chicago/Turabian Style

Daeyoun Won; Bon‐Gang Hwang; Soo Jing Chng. 2020. "Assessing the effects of workforce diversity on project productivity performance for sustainable workplace in the construction industry." Sustainable Development , no. : 1.

Journal article
Published: 11 November 2020 in Sustainability
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Although various types of management strategies have been proposed to improve construction productivity, they are seldom prioritized based on contribution. This study aims to bridge the knowledge gap to prioritize the critical management strategies that can help improve productivity in the construction industry. To achieve this goal, a comprehensive literature review was conducted first, to develop a conceptual framework of construction management strategies that are assumed to have positive relationships with productivity performance. A questionnaire was then developed and disseminated to 53 Singapore-based companies for data collection. The collected data were analyzed using partial least squares structural equation modelling. Results showed that “planning and communication” is the most critical management strategy category for productivity improvement, followed by “logistics,” “project strategic management”, “human resources”, and “on-site management.” This study contributes to the current body of knowledge by prioritizing critical management strategies that can help the construction industry improve productivity. Findings are likewise beneficial for the industry practitioners as well, as they can help deepen their understanding of the role played by these management strategies on increasing productivity and thereby formulate the best combinations for their own companies.

ACS Style

Bon-Gang Hwang; Yu-Shan Li; Ming Shan; Jia-En Chua. Prioritizing Critical Management Strategies to Improving Construction Productivity: Empirical Research in Singapore. Sustainability 2020, 12, 9349 .

AMA Style

Bon-Gang Hwang, Yu-Shan Li, Ming Shan, Jia-En Chua. Prioritizing Critical Management Strategies to Improving Construction Productivity: Empirical Research in Singapore. Sustainability. 2020; 12 (22):9349.

Chicago/Turabian Style

Bon-Gang Hwang; Yu-Shan Li; Ming Shan; Jia-En Chua. 2020. "Prioritizing Critical Management Strategies to Improving Construction Productivity: Empirical Research in Singapore." Sustainability 12, no. 22: 9349.

Journal article
Published: 05 April 2020 in Computers & Industrial Engineering
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Motivated by urban land scarcity and surging demand, the underground space has become a frontier domain for future city logistics industry. The Underground Logistics System (ULS) is a sustainable option to overcome traffic congestion while improving freight transport efficiency. This study presents a comprehensive layout design and facility planning method for the two-echelon urban ULS network with hub-and-spoke structure. The underground network is organized by the primary and secondary ULS nodes and tunnels which have strong alignment with existing logistics nodes such as distribution centers and major demand terminals. A bi-objective mixed-integer linear programming model considering minimal costs and maximal system utilization was established to formulate the location-allocation of ULS nodes, tunnel layout and flow routing in the network. Given the inherent problem complexity, a series of simplification techniques and hybrid optimization procedures integrating both exact and meta-heuristic algorithms were developed to obtain high quality solutions. Finally, a real-world simulation was carried out in Beijing, China to demonstrate the applicability of proposed method. Results show that our procedures can effectively obtain the best configurations of ULS network under various scenarios and has better convergence efficiency and optimality performance. Moreover, a group of horizontal tests and sensitivity analysis reveals further insights regarding ULS network decision-making and layout strategies.

ACS Style

Wanjie Hu; Jianjun Dong; Bon-Gang Hwang; Rui Ren; Zhilong Chen. Hybrid optimization procedures applying for two-echelon urban underground logistics network planning: A case study of Beijing. Computers & Industrial Engineering 2020, 144, 106452 .

AMA Style

Wanjie Hu, Jianjun Dong, Bon-Gang Hwang, Rui Ren, Zhilong Chen. Hybrid optimization procedures applying for two-echelon urban underground logistics network planning: A case study of Beijing. Computers & Industrial Engineering. 2020; 144 ():106452.

Chicago/Turabian Style

Wanjie Hu; Jianjun Dong; Bon-Gang Hwang; Rui Ren; Zhilong Chen. 2020. "Hybrid optimization procedures applying for two-echelon urban underground logistics network planning: A case study of Beijing." Computers & Industrial Engineering 144, no. : 106452.

Journal article
Published: 03 March 2020 in Journal of Cleaner Production
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Maintenance in petrochemical plants is often characterized as labor intensive and may give rise to such problems as being costly, diminishing productivity, and emitting pollutant. To mitigate such problems, managers have tried mechanizing the maintenance tasks. This study elaborated the concept of mechanization, proposed a method named Petrochemical Maintenance Mechanization Assessment (PEMMA), which can help assess mechanization levels of the maintenance tasks and provide corresponding improvement recommendations This study presented the development process of the PEMMA method and applied the method in the context of Singapore. Results showed that the mechanization level of the maintenance tasks in Singapore is relatively low. The developed method is arguably the first to be presented and therefore, it contributes to the existing body of knowledge. In addition, the developed method is beneficial to the practice as well, because it can help diagnose and then improve the mechanization levels of petrochemical plants, which would eventually make the petrochemical industry more productive and cleaner.

ACS Style

Ming Shan; Bon-Gang Hwang; Carlos H. Caldas; Zhe Yin; Daniel P. Oliveira. Towards cleaner and more productive maintenance in petrochemical facilities: Mechanization and an assessment method. Journal of Cleaner Production 2020, 259, 120864 .

AMA Style

Ming Shan, Bon-Gang Hwang, Carlos H. Caldas, Zhe Yin, Daniel P. Oliveira. Towards cleaner and more productive maintenance in petrochemical facilities: Mechanization and an assessment method. Journal of Cleaner Production. 2020; 259 ():120864.

Chicago/Turabian Style

Ming Shan; Bon-Gang Hwang; Carlos H. Caldas; Zhe Yin; Daniel P. Oliveira. 2020. "Towards cleaner and more productive maintenance in petrochemical facilities: Mechanization and an assessment method." Journal of Cleaner Production 259, no. : 120864.

Research article
Published: 03 January 2020 in Environmental Science and Pollution Research
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As a major participant of the construction industry, small contractors have been increasingly involved in green building construction projects in recent years. However, existing literature indicates that little research has been done to investigate the critical success factors for small contractors to conduct green building construction projects. As a result, this study aims to fill up the gap by identifying the most critical success factors of small contractors and comparing them against large contractors. To achieve these goals, a comprehensive literature review and pilot interviews with experienced industry experts were conducted first, followed by a questionnaire survey administered to 30 small contractors from the construction industry of Singapore. Non-parametric statistical tests were used to analyze the data. Results reported that “laborers with experience in conducting green building construction projects,” “incentives/subsidies provided by government,” “support of senior management,” “return on investment,” “commit to changing behavior,” “effective communication between stakeholders on goals for sustainable construction,” “early contractor involvement,” “engaging experts with sound knowledge of green building construction,” “cost control,” and “competency of project manager” were the top ten critical success factors for small contractors to conduct green building construction projects. Additionally, the comparison results between small and large contractors revealed that eight factors were statistically different assessed by industry practitioners. These factors are “procurement process,” “cost control,” “commit to changing behavior,” “educating clients on benefits in sustainable construction,” “laborers with experience in conducting green building construction projects,” “hefty levy and tax on unsustainable construction practices,” and “public demand for green building construction” and “industrial culture.” This study enriches the knowledge by exploring the critical success factors for small contractors to conduct green building construction projects. Furthermore, this study is informative to industry practitioners as well, especially to those small contractors who plan to conduct green building construction projects in the future.

ACS Style

Ming Shan; Wen-Que Liu; Bon-Gang Hwang; Jun-Ming Lye. Critical success factors for small contractors to conduct green building construction projects in Singapore: identification and comparison with large contractors. Environmental Science and Pollution Research 2020, 27, 8310 -8322.

AMA Style

Ming Shan, Wen-Que Liu, Bon-Gang Hwang, Jun-Ming Lye. Critical success factors for small contractors to conduct green building construction projects in Singapore: identification and comparison with large contractors. Environmental Science and Pollution Research. 2020; 27 (8):8310-8322.

Chicago/Turabian Style

Ming Shan; Wen-Que Liu; Bon-Gang Hwang; Jun-Ming Lye. 2020. "Critical success factors for small contractors to conduct green building construction projects in Singapore: identification and comparison with large contractors." Environmental Science and Pollution Research 27, no. 8: 8310-8322.

Journal article
Published: 09 December 2019 in Automation in Construction
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Big data and predictive analytics have huge potential to create value to the construction industry. However, there is a lack of benchmarking system to evaluate organizations' competency to adopt big data and predictive analytics. Hence, this study aims to develop a big data and predictive analytics capability assessment tool that can measure construction organizations' capability in big data and predictive analytics implementation and that also highlights strengths and weaknesses of the organization to provide a benchmark in the process of big data and predictive analytics implementation. 21 determinants were identified and assessed in sense of their impacts on an organization's capability to implement big data and predictive analytics. These determinants were categorized into five determinant groups and assigned weights, to form the basis for the big data and predictive analytics capability assessment tool. The developed tool was then validated with four construction organizations to reflect their big data and predictive analytic capability levels, strengths and weaknesses. The findings of this study contribute to knowledge and practice by identifying the determinants impacting construction organizations' capability to adopt big data and predictive analytics and in the development of a computerized assessment tool which also serves as a benchmarking tool for construction organizations in the implementation of big data and predictive analytics.

ACS Style

Jasmine Ngo; Bon-Gang Hwang; Chenyue Zhang. Factor-based big data and predictive analytics capability assessment tool for the construction industry. Automation in Construction 2019, 110, 103042 .

AMA Style

Jasmine Ngo, Bon-Gang Hwang, Chenyue Zhang. Factor-based big data and predictive analytics capability assessment tool for the construction industry. Automation in Construction. 2019; 110 ():103042.

Chicago/Turabian Style

Jasmine Ngo; Bon-Gang Hwang; Chenyue Zhang. 2019. "Factor-based big data and predictive analytics capability assessment tool for the construction industry." Automation in Construction 110, no. : 103042.

Journal article
Published: 10 November 2019 in Sustainable Cities and Society
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Integrating logistics activities into urban passenger rail transit network (URFT) is regarded as an effective approach to promote urban sustainability and reduce the negative externalities of road-based transportation. This study applied a system dynamics method to simulate URFT system development by focusing on internal operations and external impacts. The characteristics of four major stakeholders (i.e., the government, URFT operator, market, and road freight sector) as well as a series of variables affecting system operations, such as metrics of social and environmental externalities, pricing, investment, and subsidies, were incorporated into two submodels. A case study of Beijing, China was provided to demonstrate the historical validity and rationality of simulation results from 2007 to 2035. Three decision variables (i.e., investment policy, network scale and market competitiveness) were combined into eight distinct scenarios to examine the external benefits, pricing strategies, capital funding structure and business volume of URFT. The findings show that URFT schemes with higher funding and capacity lead to greater reductions in the losses of traffic congestion, air pollution, and accidents. Furthermore, both government support in the early stage and regulation mechanisms among price, supply–demand level, and investment play significant roles in improving the system performance.

ACS Style

Wanjie Hu; Jianjun Dong; Bon-Gang Hwang; Rui Ren; Yicun Chen; Zhilong Chen. Using system dynamics to analyze the development of urban freight transportation system based on rail transit: A case study of Beijing. Sustainable Cities and Society 2019, 53, 101923 .

AMA Style

Wanjie Hu, Jianjun Dong, Bon-Gang Hwang, Rui Ren, Yicun Chen, Zhilong Chen. Using system dynamics to analyze the development of urban freight transportation system based on rail transit: A case study of Beijing. Sustainable Cities and Society. 2019; 53 ():101923.

Chicago/Turabian Style

Wanjie Hu; Jianjun Dong; Bon-Gang Hwang; Rui Ren; Yicun Chen; Zhilong Chen. 2019. "Using system dynamics to analyze the development of urban freight transportation system based on rail transit: A case study of Beijing." Sustainable Cities and Society 53, no. : 101923.

Journal article
Published: 29 October 2019 in Journal of Cleaner Production
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Studies proved that project managers’ performance is greatly affected by their job satisfaction. Little attention has been paid to the job satisfaction of project managers in green construction projects. This study aims to assess the job satisfaction of project managers in charge of green construction projects, with comparisons against conventional construction projects. It also investigates the key barriers that influence project managers’ job satisfaction and proposes feasible strategies to improve their job satisfaction in green construction projects. A literature review was conducted to understand the mechanism of job satisfaction and the potential barriers and strategies in green construction projects, followed by a questionnaire survey that collected the data from 105 project managers. Interviews with five industry experts were also conducted to substantiate survey results. The results show that ‘job content’ and ‘personality and competence of jobholders’ were perceived differently between green and conventional construction projects. ‘Technical requirement’ and ‘split incentive condition’, ‘project managers’ expertise and awareness’ and ‘demand and support from stakeholders’ were identified as key barriers of project managers’ job satisfaction in green construction projects. The findings contribute to the body of knowledge on the features of job satisfaction for green construction project managers, assist companies in formulating strategies to enhance the performance of project managers.

ACS Style

Xiaojing Zhao; Bon-Gang Hwang; Jane Lim. Job Satisfaction of Project Managers in Green Construction Projects: Constituents, Barriers, and Improvement Strategies. Journal of Cleaner Production 2019, 246, 118968 .

AMA Style

Xiaojing Zhao, Bon-Gang Hwang, Jane Lim. Job Satisfaction of Project Managers in Green Construction Projects: Constituents, Barriers, and Improvement Strategies. Journal of Cleaner Production. 2019; 246 ():118968.

Chicago/Turabian Style

Xiaojing Zhao; Bon-Gang Hwang; Jane Lim. 2019. "Job Satisfaction of Project Managers in Green Construction Projects: Constituents, Barriers, and Improvement Strategies." Journal of Cleaner Production 246, no. : 118968.

Journal article
Published: 01 August 2019 in Sustainability
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Contracting in international high-speed railway (HSR) projects is a risky business. The success of these projects and the sustainable development of international contractors are inseparable from effective risk management. However, limited research has been conducted to investigate the political risk involved in international HSR projects. As HSR development is becoming a more major part of the global construction market, this paper investigates the political risk factors specific to the projects and the relationships among the factors. Through a literature review and a pilot interview conducted with five Chinese professionals, 26 political risk factors were proposed. A questionnaire was then administered to 112 experts from both academia and industry to assess the significance of the factors. By applying partial least-squares structural equation modeling (PLS-SEM) technology, the 26 factors were clustered into eight groups, and 10 significant risk paths were identified. Specifically, “government attitudes” can directly influence the “investment profile” and “social support” can directly influence “government attitudes,” while “government instability,” “economic climate,” “financing and costs,” “external interference,” and “contractors’ operations” can indirectly influence investment profile by directly influencing “government attitudes” or “social support.” The findings of this study can assist international contractors with gaining a clear understanding of the political risk involved in international HSR projects, which will lead to more effective political risk management as well as better business decisions. Furthermore, this paper will contribute to the global body of knowledge in the area of political risk management for large-scale international projects.

ACS Style

Tengyuan Chang; Xiaopeng Deng; Bon-Gang Hwang. Investigating Political Risk Paths in International High-Speed Railway Projects: The Case of Chinese International Contractors. Sustainability 2019, 11, 4157 .

AMA Style

Tengyuan Chang, Xiaopeng Deng, Bon-Gang Hwang. Investigating Political Risk Paths in International High-Speed Railway Projects: The Case of Chinese International Contractors. Sustainability. 2019; 11 (15):4157.

Chicago/Turabian Style

Tengyuan Chang; Xiaopeng Deng; Bon-Gang Hwang. 2019. "Investigating Political Risk Paths in International High-Speed Railway Projects: The Case of Chinese International Contractors." Sustainability 11, no. 15: 4157.

Review
Published: 14 May 2019 in Sustainability
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The contradiction between the contribution of city logistics (CL) to sustainable urban development and its negative externalities is increasingly prominent. Policy supervision measures and the green logistics initiative are also in conflict with the management goal of logistics enterprises. Innovative solutions for CL have attracted increasing research attention worldwide. However, the description of the global research network in the field of CL, research trends, and the discussion of advanced theories and practices have not been systematically reviewed so far. Especially in the past three years, there has been an explosive growth of relevant literature. In this paper, the method of combining scientometric analysis and thematic discussion was adopted to systematically review 513 important works in the literature from 1993 to 2018, aiming to provide a holistic understanding of the status in quo, trends and gaps of CL research, and to further analyze prominent problems. The study has made statistical analyses of the publication year profile, journal allocation and research methods of the included literature, and constructed four kinds of visualized bibliographic information timeline maps for the authorship network, international collaboration network, keywords co-occurrence network and research topic clustering. Then, the three themes summarized by clustering are discussed, mainly focusing on CL strategies and policy, green supply chain management, planning methods, and advanced concepts and practices. Finally, the research gaps framework and agenda were reported. This study contributes to summarizing the research and development of city logistics on the whole, and can also serve as an explorative manual to support sustainable urban freight activities and innovative research.

ACS Style

Wanjie Hu; Jianjun Dong; Bon-Gang Hwang; Rui Ren; Zhilong Chen. A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice. Sustainability 2019, 11, 2724 .

AMA Style

Wanjie Hu, Jianjun Dong, Bon-Gang Hwang, Rui Ren, Zhilong Chen. A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice. Sustainability. 2019; 11 (10):2724.

Chicago/Turabian Style

Wanjie Hu; Jianjun Dong; Bon-Gang Hwang; Rui Ren; Zhilong Chen. 2019. "A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice." Sustainability 11, no. 10: 2724.

Journal article
Published: 26 February 2019 in Sustainability
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This paper describes the development of a method to assess the level of implementation of best productivity practices in the petrochemical industry. The proposed methodology focuses on construction, maintenance activities, shutdowns, and turnarounds. Its novelty and importance are emphasized by the lack of productivity studies that target these types of projects. This article reports the research methodology steps including tool development and detailed case study assessments of projects in Singapore. The approach involved the verification of best productivity practices and the development of an assessment method designed to fit the characteristics of petrochemical projects. The assessment points out productivity practices with low implementation levels and provides recommendations to increase their usage. The results showed that the level of implementation of productivity practices in the petrochemical projects investigated was 68.42%, out of a maximum score of 100%. Practices related to Material Management and Equipment Logistics received the lowest scores and recommendations on how to bridge this productivity practice implementation gap were provided. The adoption of the Best Productivity Practices Implementation Index (BPPII) as a Productivity management tool will help the petrochemical plants to improve productivity in their projects and to be resilient during the pre-planning phase. This should also allow the petrochemical industry to attract more investments and remain competitive in order to be sustainable. The identification and analysis of practices related to maintenance activities, shutdowns, and turnarounds of petrochemical plants will significantly contribute to the body of knowledge on best productivity practice.

ACS Style

Pramesh Krishnankutty; Bon-Gang Hwang; Carlos H. Caldas; Sriya Muralidharan; Daniel P. De Oliveira. Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants. Sustainability 2019, 11, 1239 .

AMA Style

Pramesh Krishnankutty, Bon-Gang Hwang, Carlos H. Caldas, Sriya Muralidharan, Daniel P. De Oliveira. Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants. Sustainability. 2019; 11 (5):1239.

Chicago/Turabian Style

Pramesh Krishnankutty; Bon-Gang Hwang; Carlos H. Caldas; Sriya Muralidharan; Daniel P. De Oliveira. 2019. "Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants." Sustainability 11, no. 5: 1239.

Journal article
Published: 26 February 2019 in Sustainability
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The lack of practical application and accurate benefit analysis, which are the prerequisites for each other, make it difficult to implement and promote the underground logistics system (ULS), although in theory people always recognize its advantages in sustainable improvement of urban transportation and logistics. This paper attempts to use the system dynamics (SD) method, based on the real-world simulation, to analyze the quantitative relationship between the implementation strategy of ULS and the sustainability of urban transportation and logistics to solve this problem. Beijing city, China, was selected as the empirical background. Four ULS implementation strategies were proposed according to the city’s potential investment in ULS and its demand for ULS network capacity. Meanwhile, four representative indicators were selected to evaluate the simulation results, including the average speed of the road networks in the peak hour, congestion loss, delivery travel time in the peak hour and the PM emissions of the truck. Good fitting index of historical data shows the validity of the model. Simulation results show that ULS, as a supplement to the urban integrated transport system, can significantly improve urban traffic and logistics. This study provides a perspective in the systematic and quantitative analysis of ULS to support the urban sustainable development.

ACS Style

Jianjun Dong; Yuanxian Xu; Bon-Gang Hwang; Rui Ren; Zhilong Chen. The Impact of Underground Logistics System on Urban Sustainable Development: A System Dynamics Approach. Sustainability 2019, 11, 1223 .

AMA Style

Jianjun Dong, Yuanxian Xu, Bon-Gang Hwang, Rui Ren, Zhilong Chen. The Impact of Underground Logistics System on Urban Sustainable Development: A System Dynamics Approach. Sustainability. 2019; 11 (5):1223.

Chicago/Turabian Style

Jianjun Dong; Yuanxian Xu; Bon-Gang Hwang; Rui Ren; Zhilong Chen. 2019. "The Impact of Underground Logistics System on Urban Sustainable Development: A System Dynamics Approach." Sustainability 11, no. 5: 1223.

Journal article
Published: 01 February 2019 in Journal of Construction Engineering and Management
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Rework is a pervasive problem that adversely impacts the performance of construction projects and has become one of the most common concerns of the industry and academia. The rapid popularization of Building Information Modeling (BIM) is deemed useful for controlling rework and its resulting cost and time overruns. However, little empirical research has been done to show the impact of BIM implementation on rework in construction projects. As a result, by comparing two groups of projects (with and without BIM implementation), this paper first aims to assess and compare the rework status quo as well as the rework magnitude and impact by project type and by rework source. This study also proposes a set of practical strategies that can help prevent rework in projects with BIM implementation using a fuzzy set theory-based model. To achieve these objectives, an extensive literature review was conducted, followed by pre-interviews, a questionnaire survey, statistical analyses, and post-interviews. The results of the analyses and interviews show that the projects with BIM implementation tend to have experienced lower incidence, magnitude, and impact of rework relative to projects without BIM implementation. BIM implementation is also found to have a significant impact on reducing rework arising from owner change, design error/omission, design change, and vendor error/omission. The identified top three strategies to utilize BIM to reduce rework are “use of BIM throughout the design and construction phase,” “design reviews, verifications, and audit to reduce system errors,” and “rework tracking system to prevent future occurrences of rework.” To the best of the authors’ knowledge, this study makes the first attempt to measure the effects of BIM implementation on rework in construction projects using actual project data. The findings of this study enable practitioners to implement strategies to minimize rework with BIM implementation, improve projects’ cost and time performance, and improve the efficiency of project delivery.

ACS Style

Bon-Gang Hwang; Xiaojing Zhao; Kay Wei Yang. Effect of BIM on Rework in Construction Projects in Singapore: Status Quo, Magnitude, Impact, and Strategies. Journal of Construction Engineering and Management 2019, 145, 04018125 .

AMA Style

Bon-Gang Hwang, Xiaojing Zhao, Kay Wei Yang. Effect of BIM on Rework in Construction Projects in Singapore: Status Quo, Magnitude, Impact, and Strategies. Journal of Construction Engineering and Management. 2019; 145 (2):04018125.

Chicago/Turabian Style

Bon-Gang Hwang; Xiaojing Zhao; Kay Wei Yang. 2019. "Effect of BIM on Rework in Construction Projects in Singapore: Status Quo, Magnitude, Impact, and Strategies." Journal of Construction Engineering and Management 145, no. 2: 04018125.

Construction management
Published: 12 November 2018 in KSCE Journal of Civil Engineering
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Acquiring timely and proper information of host countries is a crucial element to lead successful and lucrative delivery of international construction projects. This information, however, commonly exists in forms of unstructured text data such as news articles and reports, which calls for the need of text mining. The aim of this research is to develop a prototype of construction document management system for global contract, which provides the user-needed information in a timely manner. The system named UNI (User Needed Information)-Tacit collects text data containing the recent information of the global construction market by using the web crawling algorithm, automatically allocates tags for each document with the most representative keywords based on Natural Language Processing, and eventually visualizes the results in the form of word clouds. The developed system, the survey validated its usefulness, is expected to contribute to collecting and organizing the latest issues on the global construction market, which provides better understanding of the target countries for decision makers.

ACS Style

Seonghyeon Moon; Yoonjung Shin; Bon-Gang Hwang; Seokho Chi. Document Management System Using Text Mining for Information Acquisition of International Construction. KSCE Journal of Civil Engineering 2018, 22, 4791 -4798.

AMA Style

Seonghyeon Moon, Yoonjung Shin, Bon-Gang Hwang, Seokho Chi. Document Management System Using Text Mining for Information Acquisition of International Construction. KSCE Journal of Civil Engineering. 2018; 22 (12):4791-4798.

Chicago/Turabian Style

Seonghyeon Moon; Yoonjung Shin; Bon-Gang Hwang; Seokho Chi. 2018. "Document Management System Using Text Mining for Information Acquisition of International Construction." KSCE Journal of Civil Engineering 22, no. 12: 4791-4798.

Conference paper
Published: 04 October 2018 in Advances in Informatics and Computing in Civil and Construction Engineering
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For the safety and serviceability of aging bridges, it is important to understand how the current conditions of the bridges will deteriorate in the future as time goes by. The primary goal of this research is to analyze sequential patterns of damages on the bridge elements that are normally recorded through site inspections and managed by the bridge management system (BMS). To achieve the research goal, the research team first discovered a number of bridge clusters with distinguished characteristics by using a data clustering algorithm. Sequential pattern mining was then utilized to extract types and sequences of damages on bridge elements frequently seen in each cluster. The data used for the analyses was collected from BMS managed by the Korea Institute of Civil Engineering and Building Technology. This BMS includes the general, structural, traffic, and weather information of 6773 bridges (i.e., the total of 127 attributes) and contains 834,815 site inspection records of the bridge elements. A preliminary test was performed by using a dataset of 1542 Pre-Stressed Concrete I-shape type bridges for the validation purpose. The results of this study showed application potential to estimating future condition changes of the bridges based on the past inspection records for preventive bridge maintenance.

ACS Style

Kowoon Chang; Soram Lim; Seokho Chi; Bon-Gang Hwang. Sequential Pattern Analyses of Damages on Bridge Elements for Preventive Maintenance. Advances in Informatics and Computing in Civil and Construction Engineering 2018, 521 -527.

AMA Style

Kowoon Chang, Soram Lim, Seokho Chi, Bon-Gang Hwang. Sequential Pattern Analyses of Damages on Bridge Elements for Preventive Maintenance. Advances in Informatics and Computing in Civil and Construction Engineering. 2018; ():521-527.

Chicago/Turabian Style

Kowoon Chang; Soram Lim; Seokho Chi; Bon-Gang Hwang. 2018. "Sequential Pattern Analyses of Damages on Bridge Elements for Preventive Maintenance." Advances in Informatics and Computing in Civil and Construction Engineering , no. : 521-527.

Journal article
Published: 31 July 2018 in Sustainability
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Operating profit is one of the most important measures in financial statements to evaluate a organizational performance. In the construction industry, however, the profit has a possibility to be misestimated as a loss and can be included in Unbilled Accounts Receivable (UAR) and shown as a profit; this is due to the uncertainty of predicting a total construction cost and project progress on which the calculation of profit is based. UAR results from the different perceptions regarding project progress between clients and contractors and can include costs related to loss that cannot be acknowledged as a progress. Therefore, UAR can be a significant clue to understanding estimation errors of a contractor’s financial performance data. This study investigated the possibility of estimation error of contractors’ operating profit by analyzing the relationship between UAR and other relevant financial performance measures. The accounting data of 41 Korean major contractors was collected and analyzed based on the correlation analysis. The results of this study implies that the profit of construction companies has the possibility to contain estimation errors, causing a significant variance in the process of adjusting the evaluation errors at the end of projects, which can cause unexpected losses to investors. In addition, this study found that the UAR containing estimation errors could be different depending on market in which contractors operate; therefore, when dealing with contractors’ financial performance data, it is necessary to discern whether their profit data contains distortion and, in the case that errors are included, appropriate data preprocessing should be conducted for more reliable and sustainable construction investment and project management.

ACS Style

Minhyuk Jung; Shira You; Seokho Chi; Ilhan Yu; Bon-Gang Hwang. The Relationship between Unbilled Accounts Receivable and Financial Performance of Construction Contractors. Sustainability 2018, 10, 2679 .

AMA Style

Minhyuk Jung, Shira You, Seokho Chi, Ilhan Yu, Bon-Gang Hwang. The Relationship between Unbilled Accounts Receivable and Financial Performance of Construction Contractors. Sustainability. 2018; 10 (8):2679.

Chicago/Turabian Style

Minhyuk Jung; Shira You; Seokho Chi; Ilhan Yu; Bon-Gang Hwang. 2018. "The Relationship between Unbilled Accounts Receivable and Financial Performance of Construction Contractors." Sustainability 10, no. 8: 2679.

Conference paper
Published: 22 July 2018 in Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC)
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ACS Style

Soenghyeon Moon; Taekhyung Kim; Bon-Gang Hwang; Seokho Chi. Analysis of Construction Accidents Based on Semantic Search and Natural Language Processing. Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC) 2018, 776 -781.

AMA Style

Soenghyeon Moon, Taekhyung Kim, Bon-Gang Hwang, Seokho Chi. Analysis of Construction Accidents Based on Semantic Search and Natural Language Processing. Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC). 2018; ():776-781.

Chicago/Turabian Style

Soenghyeon Moon; Taekhyung Kim; Bon-Gang Hwang; Seokho Chi. 2018. "Analysis of Construction Accidents Based on Semantic Search and Natural Language Processing." Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC) , no. : 776-781.