A Blockchain Information Management Framework for Construction Safety

Morteza, Azita; Ilbeigi, Mohammad; Schwed, Joseph

doi:10.1061/9780784483893.043

Cited by 15 publications

(10 citation statements)

References 5 publications

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“…By establishing a platform for multi-stakeholder participation, the multi-party participation mechanism collects data on the needs and suggestions of different parties by both online and offline means. Digital management and evaluation enables the construction of a transparent and trustworthy information management system through blockchain technology [85], real-time monitoring of changes in demand and supply by means of big data technology, and the introduction of public space information model (PSIM) technology to boost planning efficiency. Policy support and incentives require govern- In the face of the current challenges in community development-especially in achieving efficient matching of CS demand and supply, enhancing community participation and cooperation, promoting resource sharing, and promoting sustainable community development-it is particularly critical to construct a CS planning and management platform that integrates a multi-party participation mechanism, digital management and evaluation, policy support and incentive mechanism, and continuous optimization and iteration.…”

Section: Implications For Optimizing the Demand-supply Relationship O...mentioning

confidence: 99%

Section: Implications For Optimizing the Demand-supply Relationship O...mentioning

confidence: 99%

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Study on the Demand and Supply of Cultural Space for Different Groups of People from the Perspective of Sustainable Community Development: A Case Study from the Hanzhong Section of the Hanjiang River Basin, China

Zhang,

et al. 2024

Buildings

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Cultural space (CS) holds significant importance for inheriting regional culture, serving people’s lives, and boosting sustainable community development. In this study, based on the research case of the Hanzhong section of the Hanjiang River Basin (HSHRB), the demand and supply matching relationships between three groups of people, namely residents, employees, and tourists, and four types of CS—memorial or religious space (MRS), cultural heritage space (CHS), cultural facilities space (CFS), and cultural industries space (CIS)—is analyzed, with communities as the units. Findings: (1) The CS demand–supply matching relationship exhibited the spatial distribution characteristics of high value balance in urbanized areas, significant lag in suburban supply, and low value balance in rural areas. (2) For the CS demands of residents, employees, and tourists, the total supply was in a substantial shortage, in general balance, and in significant surplus, respectively. (3) There were significant differences in the fairness and adequacy of the demand–supply matching of the four types of CS, with MRS and CHS more equitable and better able to meet the needs of different regions and populations. (4) Six community types with significantly different demand and supply characteristics were classified based on the demand–supply relationship within the community and the supply environment of neighboring communities. They presented a spatial structure of circles outward in the order of high-value-balanced communities, deprived communities, insufficient-supply communities, low-value-balanced communities, and shared communities, with urbanized areas as the core. Deprived communities and shared communities have shown spatial dynamics of urban expansion and village decay, respectively, and they require urgent attention. The study employs a more systematic categorization of CS supply and a more diverse perspective of demand entities, offering new evidence for the equitable distribution of cultural resources among heterogeneous groups and regions. Ultimately, it presents strategies for optimizing demand and supply as well as policy recommendations for community governance, bringing fresh insights into promoting sustainable community development.

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Section: Implications For Optimizing the Demand-supply Relationship O...mentioning

confidence: 99%

Section: Implications For Optimizing the Demand-supply Relationship O...mentioning

confidence: 99%

Study on the Demand and Supply of Cultural Space for Different Groups of People from the Perspective of Sustainable Community Development: A Case Study from the Hanzhong Section of the Hanjiang River Basin, China

Zhang,

et al. 2024

Buildings

View full text Add to dashboard Cite

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“…Through systematically examining the risk factors affecting construction safety in these representative articles and industry standards, a preliminary set of 43 risk factors was established, shown in Table 1. Following the conventional method of classifying risk factors [7,15,41], these 43 risk factors were divided into five major categories, including personnel risk (unsafe human behavior), material equipment risk (unsafe conditions of objects), construction technique risk (technique flaws), construction management risk (management flaws) and environmental risk (unsafe environmental conditions).…”

Section: Risk Analysis In Swivel Bridge Constructionmentioning

confidence: 99%

“…Existing research mainly targets bridge rotation technologies [9][10][11][12], with standards focusing on technical essentials [1,13]. Safety protocols are typically focused on mitigating the risks inherent in particular tasks or operations [14,15]. Some risks are interdependent and have multiple effects [16,17], and it becomes cumbersome for the project decision makers to trace the actual source of these risks [18].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy-ISM-MICMAC in the Risk Analysis Affecting Swivel Bridge Construction Spanning Existing Railway Lines: A Case Study

Peng,

Wang,

Chen

et al. 2023

Buildings

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Swivel bridge construction (SBC) technology has significant advantages in building bridges that span existing railway lines (ERLs), but it also entails complex risks from ‘skylight’ windows and railway boundaries. A notable challenge is the relationships and interdependencies among these risks, which collectively increase safety hazards through mutual influence. Prior research has typically focused on mitigating the risks inherent in particular tasks or operations, with less emphasis on the risks from interdependencies. A novel framework was developed to explore this research gap by integrating fuzzy logic, interpretive structural modeling (ISM) and the cross-impact matrix multiplication applied to classification (MICMAC) approach (Fuzzy-ISM-MICMAC) to investigate the relationships and interdependencies among the risks of SBC spanning ERLs and the critical points of risk control. Furthermore, the data collected from a literature review, a case analysis and expert interviews resulted in 28 risk factors. Then, the application of ISM distilled complex risk relationships into a clear, multilevel hierarchy, accurately illustrating the complex interrelationships among risk factors. Combined with MICMAC analysis, the research findings indicate that preliminary works such as the selection of construction technology, scheme design, construction rehearsal and the provision of safety facilities are essential for preventing risks in SBC spanning ERLs. We applied these findings to the double T-structure swivel construction of the Xiaojizhuang Bridge, where its practicality and efficiency were thoroughly tested and validated. This research’s critical contribution is identifying, clarifying and visualizing the interrelationships of the complex risk factors of SBC spanning ERLs and providing specific solutions for safety management in similar bridge construction projects. The research results and risk control recommendations offer valuable insights for managing other swivel bridge construction risks.

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“…The active distribution network dispatching control center establishes the time-sharing carbon metering optimization dispatching model based on the current division of the blocked time period and the boundary information of the cluster power and cumulative consumption reported by each cluster agent; A nonlinear particle swarm optimization algorithm based on the worst solution of particle history is adopted to solve the upper optimization model; The guiding dispatching plan for outputting solar and solar power, various multi-load cluster agents, and outgoing power with the main network interconnection line. Each multi-load cluster agent obtains the guiding dispatching plan issued by the upper layer, and each cluster follows the guiding dispatching plan issued by the active distribution network dispatching control center [16]. According to the operation and regulation constraints of the individual within the cluster agent, the lower layer optimization model is established with the objective of minimizing the overall optimization cost of the cluster agent; The improved particle swarm optimization algorithm is used to solve the model, and the optimal scheduling plan of the individual in the cluster agent is obtained, which is transferred to the active distribution network scheduling layer; Based on the optimized dispatching plan reported by each cluster agent.…”

Section: The Absorption Algorithmmentioning

confidence: 99%

Clean Energy Consumption Based on Time-Sharing Carbon Measurement Model, 1-8.

Yan,

Hou,

Luo

et al. 2023

International Journal of Power and Energy Systems

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Clean energy can directly generate electricity for production and life. It does not emit pollutants, has low carbon characteristics, and conforms to the requirements of the United Nations Framework Convention on Climate Change. Therefore, its power generation is increasing, which has caused the problem that it cannot be absorbed by users. This paper analyzes the current research situation of clean energy power generation consumption, studies the two main factors that affect the scenario energy consumption, namely the consumption measures and the power system flexibility supporting mechanism, and proposes a clean energy consumption method based on carbon measurement. This method is based on the integration and complementarity of clean energy and traditional thermal power. The paper introduces the mathematical model, constraints, and algorithm flow of this method. The example analysis of clean energy represented by photovoltaic power generation shows that compared with the traditional energy consumption method, the clean energy consumption method based on carbon measurement can save 9.1% of the operating cost, reduce carbon emissions by 11.7%, and improve the consumption rate by 7%.

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A Blockchain Information Management Framework for Construction Safety

Cited by 15 publications

References 5 publications

Study on the Demand and Supply of Cultural Space for Different Groups of People from the Perspective of Sustainable Community Development: A Case Study from the Hanzhong Section of the Hanjiang River Basin, China

Study on the Demand and Supply of Cultural Space for Different Groups of People from the Perspective of Sustainable Community Development: A Case Study from the Hanzhong Section of the Hanjiang River Basin, China

Application of Fuzzy-ISM-MICMAC in the Risk Analysis Affecting Swivel Bridge Construction Spanning Existing Railway Lines: A Case Study

Clean Energy Consumption Based on Time-Sharing Carbon Measurement Model, 1-8.

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