Pub Date : 2025-09-01Epub Date: 2025-03-19DOI: 10.1016/j.jnlssr.2024.12.005
Ali Aghazadeh Ardebili , Marco Boscolo , Antonella Longo , Mahdad Pourmadadkar , Antonio Ficarella , Elio Padoano
Critical infrastructures (CIs) embody cyber-physical-social systems (CPSSs) where physical entities are integrated with cyber components, shaping service delivery through end-user behavior. The seamless operation of CIs is vital for society, and the CPSS resilience relies on interdependencies with AI-integrated technologies. The complexity of the system, and the interconnections with other infrastructures, along with the socio-technical transition towards digitization raised the necessity of implementing Resilience Engineering. This motivates exploration of the scientific literature on resilience key performance indicators (R-KPIs) which support strategies for ensuring service continuity. Therefore, this article aims to identify R-KPIs for AI-integrated CIs and prioritize the extracted R-KPIs using a hybrid Multi-Criteria Decision-Making (MCDM) approach. The results show the importance of employing R-KPIs that measure risk probability, energy self-sufficiency level of the system under study, and performance indicators including functionality loss, recovery time, and minimum performance level after disturbance as the most effective R-KPIs in the domain of this study. After identifying and prioritizing the R-KPIs, a general framework is proposed to employ these R-KPIs in modeling the resilience of a CPS. Finally, a case study demonstrates the implementation of the framework and KPIs in a real-life scenario.
{"title":"Resilience in Cyber-Physical Infrastructures: R-KPI prioritization, framework development, and case study insights","authors":"Ali Aghazadeh Ardebili , Marco Boscolo , Antonella Longo , Mahdad Pourmadadkar , Antonio Ficarella , Elio Padoano","doi":"10.1016/j.jnlssr.2024.12.005","DOIUrl":"10.1016/j.jnlssr.2024.12.005","url":null,"abstract":"<div><div>Critical infrastructures (CIs) embody cyber-physical-social systems (CPSSs) where physical entities are integrated with cyber components, shaping service delivery through end-user behavior. The seamless operation of CIs is vital for society, and the CPSS resilience relies on interdependencies with AI-integrated technologies. The complexity of the system, and the interconnections with other infrastructures, along with the socio-technical transition towards digitization raised the necessity of implementing Resilience Engineering. This motivates exploration of the scientific literature on resilience key performance indicators (R-KPIs) which support strategies for ensuring service continuity. Therefore, this article aims to identify R-KPIs for AI-integrated CIs and prioritize the extracted R-KPIs using a hybrid Multi-Criteria Decision-Making (MCDM) approach. The results show the importance of employing R-KPIs that measure risk probability, energy self-sufficiency level of the system under study, and performance indicators including functionality loss, recovery time, and minimum performance level after disturbance as the most effective R-KPIs in the domain of this study. After identifying and prioritizing the R-KPIs, a general framework is proposed to employ these R-KPIs in modeling the resilience of a CPS. Finally, a case study demonstrates the implementation of the framework and KPIs in a real-life scenario.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100194"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-03-15DOI: 10.1016/j.jnlssr.2025.01.001
Nuo Yong , Shunjiang Ni , Shifei Shen
This paper explores the challenges of controlling complex metro systems, which are influenced by uncertain and uncontrollable large passenger flow impacts. Traditionally, flow-limiting measures during peak periods have been based on experience rather than scientific theory. To bridge this gap, we introduce a novel network analysis method inspired by control centrality theory. This approach assesses the impact of traffic loads from single or multiple sources on any node within the metro network. Our method provides a scientific basis for operators to develop policies for managing overloaded traffic, enhancing both safety and efficiency in metro system operations.
{"title":"A method of characterizing the impact of traffic load on metro system from the control centrality","authors":"Nuo Yong , Shunjiang Ni , Shifei Shen","doi":"10.1016/j.jnlssr.2025.01.001","DOIUrl":"10.1016/j.jnlssr.2025.01.001","url":null,"abstract":"<div><div>This paper explores the challenges of controlling complex metro systems, which are influenced by uncertain and uncontrollable large passenger flow impacts. Traditionally, flow-limiting measures during peak periods have been based on experience rather than scientific theory. To bridge this gap, we introduce a novel network analysis method inspired by control centrality theory. This approach assesses the impact of traffic loads from single or multiple sources on any node within the metro network. Our method provides a scientific basis for operators to develop policies for managing overloaded traffic, enhancing both safety and efficiency in metro system operations.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100192"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic has profoundly impacted startups, disrupting operations, consumer behavior, and market dynamics. Addressing these challenges necessitates an in-depth analysis of startups' vulnerabilities and the development of effective strategies to bolster their resilience and sustainability. This study introduces a combined thematic analysis and system dynamics approach to enhance startups' resilience during the pandemic. A qualitative thematic analysis was employed to identify the key factors influencing resilience. Semi-structured interviews with 12 experts provided data categorized into 21 themes across four dimensions: team, founder, human resources, and startup characteristics. Building on the qualitative phase, a system dynamics model was developed, comprising 32 auxiliary variables, five flow variables, four constants, and four stock variables. Four scenarios were devised to evaluate resilience within this model, reflecting varying degrees of financial strength, government support, and crisis management improvements. The results highlight the effectiveness of Scenario 4, which achieved the highest resilience improvement, driven by a 5 % increase in financial strength, a 5 % increase in government support, and a 10 % enhancement in crisis management. These findings offer critical insights for stakeholders and researchers seeking to strengthen startup resilience during crises.
{"title":"Modeling the resilience of startups in the COVID-19 pandemic using the system dynamics approach","authors":"Mahdi Homayounfar , Faezeh Kamali-Chirani , Adel Pourghader Chobar , Amir Daneshvar","doi":"10.1016/j.jnlssr.2024.10.004","DOIUrl":"10.1016/j.jnlssr.2024.10.004","url":null,"abstract":"<div><div>The COVID-19 pandemic has profoundly impacted startups, disrupting operations, consumer behavior, and market dynamics. Addressing these challenges necessitates an in-depth analysis of startups' vulnerabilities and the development of effective strategies to bolster their resilience and sustainability. This study introduces a combined thematic analysis and system dynamics approach to enhance startups' resilience during the pandemic. A qualitative thematic analysis was employed to identify the key factors influencing resilience. Semi-structured interviews with 12 experts provided data categorized into 21 themes across four dimensions: team, founder, human resources, and startup characteristics. Building on the qualitative phase, a system dynamics model was developed, comprising 32 auxiliary variables, five flow variables, four constants, and four stock variables. Four scenarios were devised to evaluate resilience within this model, reflecting varying degrees of financial strength, government support, and crisis management improvements. The results highlight the effectiveness of Scenario 4, which achieved the highest resilience improvement, driven by a 5 % increase in financial strength, a 5 % increase in government support, and a 10 % enhancement in crisis management. These findings offer critical insights for stakeholders and researchers seeking to strengthen startup resilience during crises.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100185"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144536048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-03-22DOI: 10.1016/j.jnlssr.2024.11.006
Hongpeng Qiu , Wenke Zhang , Meng Shi , Eric Wai Ming Lee
The cellular automaton (CA) model is an essential tool for studying pedestrian evacuation dynamics; moreover, improving simulations of actual evacuation environments and increasing the reliability of evacuation data are important problems for researchers. The complex psychological dynamics of pedestrians during evacuation and the evacuation velocities are essential components of such models. This study proposes and verifies a synchronously updated multi-velocity evacuation impatient CA model with a corresponding time correction formula. Our model that considers pedestrians’ psychological impatience can simulate complex scenarios in which different pedestrians simultaneously evacuate at different speeds. In addition, our model accurately simulates and reproduces the phenomena found in actual experiments: as the self-growth parameter of impatience increases, the evacuation efficiency first increases and then decreases, and as the contagion parameter of impatience increases, the evacuation efficiency decreases. The time correction method and formula are critical for obtaining reliable results from simulations in which pedestrians evacuate at various speeds, and they are expected to be indispensable parts of multi-velocity CA models for predicting complex evacuation scenes.
{"title":"An improved multi-velocity cellular automaton model that considers psychological impatience","authors":"Hongpeng Qiu , Wenke Zhang , Meng Shi , Eric Wai Ming Lee","doi":"10.1016/j.jnlssr.2024.11.006","DOIUrl":"10.1016/j.jnlssr.2024.11.006","url":null,"abstract":"<div><div>The cellular automaton (CA) model is an essential tool for studying pedestrian evacuation dynamics; moreover, improving simulations of actual evacuation environments and increasing the reliability of evacuation data are important problems for researchers. The complex psychological dynamics of pedestrians during evacuation and the evacuation velocities are essential components of such models. This study proposes and verifies a synchronously updated multi-velocity evacuation impatient CA model with a corresponding time correction formula. Our model that considers pedestrians’ psychological impatience can simulate complex scenarios in which different pedestrians simultaneously evacuate at different speeds. In addition, our model accurately simulates and reproduces the phenomena found in actual experiments: as the self-growth parameter of impatience increases, the evacuation efficiency first increases and then decreases, and as the contagion parameter of impatience increases, the evacuation efficiency decreases. The time correction method and formula are critical for obtaining reliable results from simulations in which pedestrians evacuate at various speeds, and they are expected to be indispensable parts of multi-velocity CA models for predicting complex evacuation scenes.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100196"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-02-15DOI: 10.1016/j.jnlssr.2024.12.003
M. Zitouni , M.R.T. Arruda , P. Cantor , F. Branco
This paper presents an extensive experimental investigation campaign concerning the thermal fire reaction of firebrands, as they accumulate on the exterior walls of dwellings, a common occurrence in southern Europe. Three types of wall core layers were studied: bricks, designed according to the Exterior Thermal Insulation Composite Systems (ETICS) methodology, cross-laminated timber (CLT) and normal wood (NW), both utilizing the sandwich methodology. The wall specimens are made of a combination of materials such as three types of mortar (Tria, Sika, and Weber), and various thermal insulation materials, such as agglomerates of composite cork, impermeable membranes, rigid rock wool, fireproof paint, and extruded polystyrene rigid foam (XPS), which are recommended for their good performance against fire and high temperatures. Firebrands are then deposited on the localized surfaces of the wall specimens, and the temperature is recorded in each layer. This study aims to precisely verify the firebrand reaction to fire, including the type of ignition, smoke and droplet production. The insulation capabilities of each insulation and wall system will also be analyzed.
{"title":"Heat penetration and thermal response due to firebrand accumulation on the exterior walls of dwellings","authors":"M. Zitouni , M.R.T. Arruda , P. Cantor , F. Branco","doi":"10.1016/j.jnlssr.2024.12.003","DOIUrl":"10.1016/j.jnlssr.2024.12.003","url":null,"abstract":"<div><div>This paper presents an extensive experimental investigation campaign concerning the thermal fire reaction of firebrands, as they accumulate on the exterior walls of dwellings, a common occurrence in southern Europe. Three types of wall core layers were studied: bricks, designed according to the Exterior Thermal Insulation Composite Systems (ETICS) methodology, cross-laminated timber (CLT) and normal wood (NW), both utilizing the sandwich methodology. The wall specimens are made of a combination of materials such as three types of mortar (Tria, Sika, and Weber), and various thermal insulation materials, such as agglomerates of composite cork, impermeable membranes, rigid rock wool, fireproof paint, and extruded polystyrene rigid foam (XPS), which are recommended for their good performance against fire and high temperatures. Firebrands are then deposited on the localized surfaces of the wall specimens, and the temperature is recorded in each layer. This study aims to precisely verify the firebrand reaction to fire, including the type of ignition, smoke and droplet production. The insulation capabilities of each insulation and wall system will also be analyzed.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100189"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144517477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-04-22DOI: 10.1016/j.jnlssr.2025.04.001
Bin Chen , Xiaoran Zhang , Yatai Ji , Yong Zhao , Zhengqiu Zhu
Drones have gradually been employed to search for unknown sources during leakage accidents. However, current studies have mainly focused on the single-source search problem, while in practical situations, the location and quantity of the sources are commonly unknown. Existing multi-source search methods fail to accurately estimate the source term, primarily due to the inefficient utilization of concentration information. This limitation results in sub-optimal drone movement strategies. To address these issues, we propose a Dynamic Likelihood-Weighted Cooperative Infotaxis (DLW-CI) approach. The approach integrates the Infotaxis cognitive search strategy with multi-drone cooperation by optimizing both source term estimation and the cooperative mechanism. Specifically, we devise a novel source term estimation method that leverages multiple parallel particle filters, with each filter estimating the parameters of a potentially unknown source in scenarios. Subsequently, we introduce a cooperative mechanism based on dynamic likelihood weight to prevent multiple drones from concurrently estimating and searching for the same source. The results show that the success rate for the localization of 2–4 diffusion sources reaches 90%, 78%, and 42% respectively when employing the DLW-CI approach, achieving a 37% average improvement over baseline methods. Our findings indicate that the proposed DLW-CI approach significantly improves estimation accuracy and search efficiency for multi-drone cooperative multi-source search, making a valuable contribution to environmental safety monitoring applications.
{"title":"DLW-CI: A Dynamic Likelihood-Weighted Cooperative Infotaxis approach for multi-drone cooperative multi-source search","authors":"Bin Chen , Xiaoran Zhang , Yatai Ji , Yong Zhao , Zhengqiu Zhu","doi":"10.1016/j.jnlssr.2025.04.001","DOIUrl":"10.1016/j.jnlssr.2025.04.001","url":null,"abstract":"<div><div>Drones have gradually been employed to search for unknown sources during leakage accidents. However, current studies have mainly focused on the single-source search problem, while in practical situations, the location and quantity of the sources are commonly unknown. Existing multi-source search methods fail to accurately estimate the source term, primarily due to the inefficient utilization of concentration information. This limitation results in sub-optimal drone movement strategies. To address these issues, we propose a Dynamic Likelihood-Weighted Cooperative Infotaxis (DLW-CI) approach. The approach integrates the Infotaxis cognitive search strategy with multi-drone cooperation by optimizing both source term estimation and the cooperative mechanism. Specifically, we devise a novel source term estimation method that leverages multiple parallel particle filters, with each filter estimating the parameters of a potentially unknown source in scenarios. Subsequently, we introduce a cooperative mechanism based on dynamic likelihood weight to prevent multiple drones from concurrently estimating and searching for the same source. The results show that the success rate for the localization of 2–4 diffusion sources reaches 90%, 78%, and 42% respectively when employing the DLW-CI approach, achieving a 37% average improvement over baseline methods. Our findings indicate that the proposed DLW-CI approach significantly improves estimation accuracy and search efficiency for multi-drone cooperative multi-source search, making a valuable contribution to environmental safety monitoring applications.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100206"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-07-11DOI: 10.1016/j.jnlssr.2025.01.005
Zhao-ge Liu , Xiang-yang Li
Unexpected scenarios often occur during typhoon response, which is likely to cause the failure of evacuation vehicle dispatching and other preparedness plans. To solve this problem, a vehicle dispatching plan selecting method based on fault-tolerance analysis is proposed, which considers the bounded rationality of emergency decision-makers. The method improves the capability of responding to unexpected scenarios by increasing backup resources. First, under the expected scenarios, a bi-level programming model for arranging the quantities of each type of vehicle and their routes is established, with the goal of minimizing the expected total evacuation time. A corresponding solving algorithm is designed. Second, possible unexpected scenarios are preset by integrating local and non-local historical experiences, and the scenario influences on vehicle dispatching constraints are analyzed. Third, under unexpected scenarios, a fault-tolerance plan set is established considering the failure risk of vehicle dispatching and fault-tolerant cost. The optimal plan is selected by calculating and ranking fault-tolerant rates. Finally, a case study in Shenzhen, China is provided to verify the reasonability and effectiveness of the method. The results show that the proposed method can help discover and address the ‘fault’ of vehicle dispatching plans during emergency preparedness and thus improve evacuation capabilities in emergency response. The proposed method can be used to develop evacuation vehicle dispatching planning methods with comprehensive scenario adaptability and a precisely improved capability.
{"title":"Selecting vehicle dispatching plan for typhoon emergency evacuation based on fault-tolerance analysis","authors":"Zhao-ge Liu , Xiang-yang Li","doi":"10.1016/j.jnlssr.2025.01.005","DOIUrl":"10.1016/j.jnlssr.2025.01.005","url":null,"abstract":"<div><div>Unexpected scenarios often occur during typhoon response, which is likely to cause the failure of evacuation vehicle dispatching and other preparedness plans. To solve this problem, a vehicle dispatching plan selecting method based on fault-tolerance analysis is proposed, which considers the bounded rationality of emergency decision-makers. The method improves the capability of responding to unexpected scenarios by increasing backup resources. First, under the expected scenarios, a bi-level programming model for arranging the quantities of each type of vehicle and their routes is established, with the goal of minimizing the expected total evacuation time. A corresponding solving algorithm is designed. Second, possible unexpected scenarios are preset by integrating local and non-local historical experiences, and the scenario influences on vehicle dispatching constraints are analyzed. Third, under unexpected scenarios, a fault-tolerance plan set is established considering the failure risk of vehicle dispatching and fault-tolerant cost. The optimal plan is selected by calculating and ranking fault-tolerant rates. Finally, a case study in Shenzhen, China is provided to verify the reasonability and effectiveness of the method. The results show that the proposed method can help discover and address the ‘fault’ of vehicle dispatching plans during emergency preparedness and thus improve evacuation capabilities in emergency response. The proposed method can be used to develop evacuation vehicle dispatching planning methods with comprehensive scenario adaptability and a precisely improved capability.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100198"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01Epub Date: 2025-03-28DOI: 10.1016/j.jnlssr.2025.02.001
Chong Li, Yibao Wang
Urban underground space disasters exhibit characteristics including complex causal mechanisms and high risk. They also present unpredictability and risk coupling amplification. Differences in underground space safety resilience (USSR) and key pathways of urban agglomerations are issues that remain under-discussed. This study is based on the perspective of resilience genesis, and it constructs a Pressure-State-Response (PSR) analysis framework. This study employs methods such as the composite index method, Dagum Gini coefficient, and fuzzy set Qualitative Comparative Analysis (fsQCA) to explore the differences in safety resilience levels and key pathways of underground spaces of urban agglomerations. The study offered several findings: (1) The safety resilience index rankings of the five major urban agglomerations, from highest to lowest, are as follows: Chengdu-Chongqing City Group, Pearl River Delta urban agglomeration, Beijing-Tianjin-Hebei urban agglomeration, Triangle of Central China and Yangtze River Delta urban agglomeration. In addition, the underground space safety resilience systems of cities were clustered and categorized into demonstration and leadership type, striving catch-up type, and stable development type. (2) Overall differences between urban agglomerations are reflected in the differences between individual urban agglomerations. The internal development imbalance is the primary reason for the more significant differences in and between the Pearl River Delta and Yangtze River Delta urban agglomerations. (3) High-level safety resilience of urban underground space is the result of a multi-factor combination in the PSR framework. In addition, there are four high-level safety resilience configuration paths, and these paths are categorized into three modes: "state-driven response", "pressure-triggered response", and "autonomous response". Policy implications and countermeasures for urban underground space development are proposed for each mode of urban underground space safety resilience. These proposals offer theoretical references for optimizing the safety resilience of underground spaces of urban agglomerations.
{"title":"Evaluation of the underground space safety resilience of Chinese urban agglomerations based on the “Pressure-State-Response”: A case study of underground rail transit in 26 cities","authors":"Chong Li, Yibao Wang","doi":"10.1016/j.jnlssr.2025.02.001","DOIUrl":"10.1016/j.jnlssr.2025.02.001","url":null,"abstract":"<div><div>Urban underground space disasters exhibit characteristics including complex causal mechanisms and high risk. They also present unpredictability and risk coupling amplification. Differences in underground space safety resilience (USSR) and key pathways of urban agglomerations are issues that remain under-discussed. This study is based on the perspective of resilience genesis, and it constructs a Pressure-State-Response (PSR) analysis framework. This study employs methods such as the composite index method, Dagum Gini coefficient, and fuzzy set Qualitative Comparative Analysis (fsQCA) to explore the differences in safety resilience levels and key pathways of underground spaces of urban agglomerations. The study offered several findings: (1) The safety resilience index rankings of the five major urban agglomerations, from highest to lowest, are as follows: Chengdu-Chongqing City Group, Pearl River Delta urban agglomeration, Beijing-Tianjin-Hebei urban agglomeration, Triangle of Central China and Yangtze River Delta urban agglomeration. In addition, the underground space safety resilience systems of cities were clustered and categorized into demonstration and leadership type, striving catch-up type, and stable development type. (2) Overall differences between urban agglomerations are reflected in the differences between individual urban agglomerations. The internal development imbalance is the primary reason for the more significant differences in and between the Pearl River Delta and Yangtze River Delta urban agglomerations. (3) High-level safety resilience of urban underground space is the result of a multi-factor combination in the PSR framework. In addition, there are four high-level safety resilience configuration paths, and these paths are categorized into three modes: \"state-driven response\", \"pressure-triggered response\", and \"autonomous response\". Policy implications and countermeasures for urban underground space development are proposed for each mode of urban underground space safety resilience. These proposals offer theoretical references for optimizing the safety resilience of underground spaces of urban agglomerations.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100200"},"PeriodicalIF":3.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2024-12-31DOI: 10.1016/j.jnlssr.2024.11.001
Ran Li , Xiaofei Ye , Shuyi Pei , Xingchen Yan , Tao Wang , Jun Chen , Pengjun Zheng
In the context of the COVID-19 epidemic, a “double-hazard scenario” consisting of a natural disaster and a public health event simultaneously occurring is more likely to arise. However, compared with single-hazard, multiple disasters confront the challenges of complexity, diversity, and demand urgency. To improve the efficiency of emergency material distribution under multiple disasters, this study first divided multiple disasters into three categories: independent scenario, sequential scenario, and coupling scenario. A set of evaluation index systems for multiple disasters was established to quantify the urgency of demand. The routing optimization model of emergency vehicles for multiple disasters was proposed by combining demand urgency and road damage, and the non-dominated sorting genetic algorithm II (NSGA-II) was used to simulate and validate the model. A coupling scenario considering two typical disasters of hurricanes and epidemics was selected as a validation example, and sensitivity analysis was also performed for different algorithms, scenarios, and constraints. The results demonstrated that the proposed model could effectively address the vehicle routing problem of emergency materials in the context of multiple disasters. Compared to the NSGA, the NSGA-II was used to reduce the total delivery time, cost, and penalty cost by 15.98%, 13.60%, and 16.14%, respectively. Compared with the independent scenario, the coupling scenario increased the total delivery time and cost by 186.28% and 132.48% during the epidemic. However, it reduced the total delivery time by 4.00% and increased the delivery cost by 23.55% compared with the hurricane. Compared with the model without consideration, the model considering demand urgency and road damage reduced the total delivery time and cost by 17.88% and 8.73%, respectively. The model constructed in this study addressed the vehicle routing problem considering the demand urgency and road damage in the optimization process, particularly in the context of multiple disasters.
{"title":"Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters","authors":"Ran Li , Xiaofei Ye , Shuyi Pei , Xingchen Yan , Tao Wang , Jun Chen , Pengjun Zheng","doi":"10.1016/j.jnlssr.2024.11.001","DOIUrl":"10.1016/j.jnlssr.2024.11.001","url":null,"abstract":"<div><div>In the context of the COVID-19 epidemic, a “double-hazard scenario” consisting of a natural disaster and a public health event simultaneously occurring is more likely to arise. However, compared with single-hazard, multiple disasters confront the challenges of complexity, diversity, and demand urgency. To improve the efficiency of emergency material distribution under multiple disasters, this study first divided multiple disasters into three categories: independent scenario, sequential scenario, and coupling scenario. A set of evaluation index systems for multiple disasters was established to quantify the urgency of demand. The routing optimization model of emergency vehicles for multiple disasters was proposed by combining demand urgency and road damage, and the non-dominated sorting genetic algorithm II (NSGA-II) was used to simulate and validate the model. A coupling scenario considering two typical disasters of hurricanes and epidemics was selected as a validation example, and sensitivity analysis was also performed for different algorithms, scenarios, and constraints. The results demonstrated that the proposed model could effectively address the vehicle routing problem of emergency materials in the context of multiple disasters. Compared to the NSGA, the NSGA-II was used to reduce the total delivery time, cost, and penalty cost by 15.98%, 13.60%, and 16.14%, respectively. Compared with the independent scenario, the coupling scenario increased the total delivery time and cost by 186.28% and 132.48% during the epidemic. However, it reduced the total delivery time by 4.00% and increased the delivery cost by 23.55% compared with the hurricane. Compared with the model without consideration, the model considering demand urgency and road damage reduced the total delivery time and cost by 17.88% and 8.73%, respectively. The model constructed in this study addressed the vehicle routing problem considering the demand urgency and road damage in the optimization process, particularly in the context of multiple disasters.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 196-211"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-17DOI: 10.1016/j.jnlssr.2024.12.004
Funmilayo Ebun Rotimi, Roohollah Kalatehjari, Taofeeq Durojaye Moshood, George Dokyi
Climate change has become a pressing concern, with an alarming increase in flooding events posing significant risks to residential areas worldwide. As land and infrastructure development rapidly evolve, it is crucial to systematically analyze the bibliometric patterns and methodological trends in flood mitigation research, with a specific focus on residential building flood mitigation. This study presents a comprehensive comparative analysis of the bibliometric patterns and methodological trends in flood mitigation research over the past two decades, identifies prevailing gaps, and proposes future research directions to enhance the effectiveness of flood mitigation strategies. Using data from the Scopus database, 441 publications were objectively selected and subjected to metadata analysis. The study identifies top authors, contributing institutions, nations, and the distribution of contributions across different fields and methodologies. The findings emphasize the need for an integrated and interdisciplinary approach to flood reduction research, considering the complex interplay of social, ecological, and physical dimensions in flood risk management. The study reveals the predominance of modeling and simulation approaches, geographic information systems (GIS) remote sensing approaches, and statistical and data-driven approaches as the most widely employed methodologies. Furthermore, it highlights the growing diversity of approaches, with increasing interest in machine learning algorithms and combined methods. Also, this study provides valuable recommendations for future research, emphasizing the importance of developing effective flood-mitigating strategies to enhance community resilience. It advocates for a multidisciplinary and integrated approach, leveraging geospatial technologies, machine learning algorithms, and collaborative methodologies to advance flood mitigation research and practice. Future research should consider exploring additional databases, including Web of Science, EBSCO, IEEE, and Google Scholar, to conduct a more comprehensive review of the available literature. There is need for future studies to conduct in-depth comparative analyses of flood mitigation methodologies, particularly in the context of residential buildings.
气候变化已经成为一个紧迫的问题，洪水事件的惊人增加给世界各地的居民区带来了重大风险。随着土地和基础设施的快速发展，系统分析防洪研究的文献计量模式和方法趋势至关重要，特别是对住宅建筑的防洪研究。本文对近二十年来洪水减灾研究的文献计量模式和方法趋势进行了全面的比较分析，指出了主要的差距，并提出了未来的研究方向，以提高洪水减灾战略的有效性。利用Scopus数据库中的数据，客观选择441篇出版物进行元数据分析。该研究确定了顶级作者、有贡献的机构、国家，以及不同领域和方法的贡献分布。研究结果强调，考虑到洪水风险管理中社会、生态和物理维度的复杂相互作用，需要一种综合和跨学科的方法来减少洪水的研究。研究表明，建模和模拟方法、地理信息系统（GIS）遥感方法、统计和数据驱动方法是最广泛使用的方法。此外，它还强调了方法的多样性，对机器学习算法和组合方法的兴趣越来越大。同时，本研究为未来的研究提供了有价值的建议，强调了制定有效的防洪策略以增强社区抵御能力的重要性。它倡导采用多学科综合方法，利用地理空间技术、机器学习算法和协作方法来推进防洪研究和实践。未来的研究应考虑探索其他数据库，包括Web of Science、EBSCO、IEEE和b谷歌Scholar，以对现有文献进行更全面的综述。未来的研究需要对减轻洪水的方法进行深入的比较分析，特别是在住宅建筑的背景下。
{"title":"A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions","authors":"Funmilayo Ebun Rotimi, Roohollah Kalatehjari, Taofeeq Durojaye Moshood, George Dokyi","doi":"10.1016/j.jnlssr.2024.12.004","DOIUrl":"10.1016/j.jnlssr.2024.12.004","url":null,"abstract":"<div><div>Climate change has become a pressing concern, with an alarming increase in flooding events posing significant risks to residential areas worldwide. As land and infrastructure development rapidly evolve, it is crucial to systematically analyze the bibliometric patterns and methodological trends in flood mitigation research, with a specific focus on residential building flood mitigation. This study presents a comprehensive comparative analysis of the bibliometric patterns and methodological trends in flood mitigation research over the past two decades, identifies prevailing gaps, and proposes future research directions to enhance the effectiveness of flood mitigation strategies. Using data from the Scopus database, 441 publications were objectively selected and subjected to metadata analysis. The study identifies top authors, contributing institutions, nations, and the distribution of contributions across different fields and methodologies. The findings emphasize the need for an integrated and interdisciplinary approach to flood reduction research, considering the complex interplay of social, ecological, and physical dimensions in flood risk management. The study reveals the predominance of modeling and simulation approaches, geographic information systems (GIS) remote sensing approaches, and statistical and data-driven approaches as the most widely employed methodologies. Furthermore, it highlights the growing diversity of approaches, with increasing interest in machine learning algorithms and combined methods. Also, this study provides valuable recommendations for future research, emphasizing the importance of developing effective flood-mitigating strategies to enhance community resilience. It advocates for a multidisciplinary and integrated approach, leveraging geospatial technologies, machine learning algorithms, and collaborative methodologies to advance flood mitigation research and practice. Future research should consider exploring additional databases, including Web of Science, EBSCO, IEEE, and Google Scholar, to conduct a more comprehensive review of the available literature. There is need for future studies to conduct in-depth comparative analyses of flood mitigation methodologies, particularly in the context of residential buildings.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 2","pages":"Pages 280-296"},"PeriodicalIF":3.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号