Pub Date : 2022-11-08DOI: 10.1080/23789689.2022.2139564
D. Trejo, P. Gardoni
Infrastructure are sustainable when they are able to address the needs of the present without sacrificing the ability of future generations to meet their needs. Infrastructure are resilient when they are able to recover from disasters brought by natural hazards (e.g., earthquakes, tsunamis, hurricanes, cyclones, tornados, floodings, and droughts) and anthropogenic hazards (e.g., human errors, malevolent attacks). Sustainability and resilience depend on each other but they also may call for conflicting actions. Because of this, it is essential to find the right balance with tradeoffs. Sustainability calls for sensible and parsimonious use of limited resources, and a minimal impact on the environment. At the same time, long-term sustainability depends on infrastructure resilience where infrastructure built today can serve communities for many years, weathering possible disruptions without the need for major reconstruction. However, infrastructure resilience often calls for significant use of scarce resources with significant environmental impact, which in turn hurts sustainability. A crucial challenge that will likely be the focus of significant research in the coming years is to find solutions that are both sustainable and resilient. Resilience depends on both the performance of the built and modified natural environment and on the contextual characteristics of social, economic, and political institutions. Both sustainability and resiliency are impacted by the external environment, and today’s external environment is changing in ways that increase the uncertainty associated with the performance of infrastructure. Climate change, dynamic geopolitical situations and policies, fluctuating economic conditions, changing human behaviors, urban growth, and other factors lead to dynamic changes, new needs, and increasing uncertainty. Societies must learn how to deal with these changes and growing uncertainty so that societies can achieve longterm infrastructure sustainability and resilience. Although sustainability and resilience are often associated with the built environment, infrastructure can be both physical and non-physical systems. Designers, engineers, scientists, economists, and policyand decision-makers must learn how to address and deal with these changes, new needs, and growing uncertainties. Historical processes have been static. Dynamic processes are required. Understanding the causes and impacts of disasters through holistic, systemic, and multi-disciplinary analysis will be essential to deal with these changing external environments. Robust decisionmaking and dynamic planning processes are necessary to achieve reliable and sustainable services under the stresses from climate change, disasters, and other stressors. Adaptive and integrated disaster resilience, and thus sustainability, is dependent on nations and communities designing and building resilience in a systematic and integrated manner that can adapt to changing environments. This a
当基础设施能够满足当代人的需求而不牺牲后代人满足其需求的能力时，基础设施就是可持续的。当基础设施能够从自然灾害(如地震、海啸、飓风、旋风、龙卷风、洪水和干旱)和人为灾害(如人为错误、恶意攻击)带来的灾害中恢复时，基础设施具有复原能力。可持续性和恢复力相互依赖，但它们也可能需要相互冲突的行动。正因为如此，在权衡中找到适当的平衡是至关重要的。可持续发展要求合理和节俭地使用有限的资源，并尽量减少对环境的影响。与此同时，长期可持续性取决于基础设施的弹性，目前建成的基础设施可以为社区服务多年，在不需要进行大规模重建的情况下经受住可能出现的破坏。然而，基础设施的弹性往往需要大量使用稀缺资源，并对环境产生重大影响，这反过来又损害了可持续性。一个关键的挑战可能是未来几年重要研究的重点，那就是找到既可持续又有弹性的解决方案。复原力既取决于建成和改造的自然环境的性能，也取决于社会、经济和政治制度的背景特征。可持续性和弹性都受到外部环境的影响，而当今的外部环境正在以增加与基础设施性能相关的不确定性的方式变化。气候变化、动态的地缘政治局势和政策、波动的经济条件、不断变化的人类行为、城市增长和其他因素导致了动态变化、新需求和不确定性的增加。社会必须学会如何应对这些变化和日益增长的不确定性，从而实现基础设施的长期可持续性和复原力。虽然可持续性和弹性通常与建筑环境有关，但基础设施可以是物理系统和非物理系统。设计师、工程师、科学家、经济学家以及政策制定者和决策者必须学会如何应对这些变化、新需求和日益增长的不确定性。历史进程一直是静止的。需要动态流程。通过全面、系统和多学科的分析，了解灾害的原因和影响，对于应对这些不断变化的外部环境至关重要。为了在气候变化、灾害和其他压力源的压力下实现可靠和可持续的服务，强有力的决策和动态规划过程是必要的。适应性和综合抗灾能力以及可持续性取决于国家和社区以系统和综合的方式设计和建设抗灾能力，以适应不断变化的环境。这种方法必须通过设计跨规模和部门的制度流程来解决复杂性和不确定性，以吸引促进社会学习的多个利益相关者，Djalante等人(2013)，并优化可持续性和弹性。自适应路径是一系列应逐步实施的行动，并取决于未来的动态(Werner et al.， 2021)。本期《韧性基础设施的适应性路径》特刊由抗灾基础设施联盟(CDRI)赞助，旨在更好地理解如何在不断变化的环境条件下将灵活性纳入基础设施规划和设计。这种规划和设计必须取决于未来的状态和动态，适应性路径必须确定可逐步实施的行动或过程，以实现包容性、经济性、弹性和可持续的基础设施。本期《韧性基础设施的适应性途径》特刊寻求创新方法来解决知识差距，突出在不断变化的环境下促进基础设施系统的弹性和可持续性的适应性途径解决方案。本期特刊寻求文献综述、循证科学与工程以及案例研究，以促进针对决策者和实践者的适应性途径。最终目标是实施本文提出的实践，以增强用于构建可持续和弹性基础设施的方法和过程的稳健性。本期特刊涵盖了与适应性通路相关的广泛主题。这些主题包括在政策、金融和可持续和弹性基础设施2023中实施适应性路径，第8卷，第2期。S1, 1-2 https://doi.org/10.1080/23789689.2022.2139564
{"title":"Special issue on adaptive pathways for resilient infrastructure: An introduction","authors":"D. Trejo, P. Gardoni","doi":"10.1080/23789689.2022.2139564","DOIUrl":"https://doi.org/10.1080/23789689.2022.2139564","url":null,"abstract":"Infrastructure are sustainable when they are able to address the needs of the present without sacrificing the ability of future generations to meet their needs. Infrastructure are resilient when they are able to recover from disasters brought by natural hazards (e.g., earthquakes, tsunamis, hurricanes, cyclones, tornados, floodings, and droughts) and anthropogenic hazards (e.g., human errors, malevolent attacks). Sustainability and resilience depend on each other but they also may call for conflicting actions. Because of this, it is essential to find the right balance with tradeoffs. Sustainability calls for sensible and parsimonious use of limited resources, and a minimal impact on the environment. At the same time, long-term sustainability depends on infrastructure resilience where infrastructure built today can serve communities for many years, weathering possible disruptions without the need for major reconstruction. However, infrastructure resilience often calls for significant use of scarce resources with significant environmental impact, which in turn hurts sustainability. A crucial challenge that will likely be the focus of significant research in the coming years is to find solutions that are both sustainable and resilient. Resilience depends on both the performance of the built and modified natural environment and on the contextual characteristics of social, economic, and political institutions. Both sustainability and resiliency are impacted by the external environment, and today’s external environment is changing in ways that increase the uncertainty associated with the performance of infrastructure. Climate change, dynamic geopolitical situations and policies, fluctuating economic conditions, changing human behaviors, urban growth, and other factors lead to dynamic changes, new needs, and increasing uncertainty. Societies must learn how to deal with these changes and growing uncertainty so that societies can achieve longterm infrastructure sustainability and resilience. Although sustainability and resilience are often associated with the built environment, infrastructure can be both physical and non-physical systems. Designers, engineers, scientists, economists, and policyand decision-makers must learn how to address and deal with these changes, new needs, and growing uncertainties. Historical processes have been static. Dynamic processes are required. Understanding the causes and impacts of disasters through holistic, systemic, and multi-disciplinary analysis will be essential to deal with these changing external environments. Robust decisionmaking and dynamic planning processes are necessary to achieve reliable and sustainable services under the stresses from climate change, disasters, and other stressors. Adaptive and integrated disaster resilience, and thus sustainability, is dependent on nations and communities designing and building resilience in a systematic and integrated manner that can adapt to changing environments. This a","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"1 - 2"},"PeriodicalIF":5.9,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45476454","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 : 2022-11-02DOI: 10.1080/23789689.2022.2138162
Çiğdem Tuğaç
ABSTRACT Turkey is a country vulnerable to the negative effects of climate change. In urban areas where most of the population lives, floods occur due to sudden, short-term but heavy rains caused by climate change. Infrastructure deficiencies have also caused considerable loss of life and property. I have discussed policies and practices of public administration formed by central government and local administrations focusing on climate change resilience and adaptation. I have also evaluated policy areas that need further development. This study can contribute to finding solutions to problems faced by cities in Turkey and other nearby countries. Findings show that participatory processes involving scientific and local knowledge can play a key role. Green and blue infrastructure with grey infrastructure and associated engineering solutions should also be used. Legislation should be updated to expand the use of nature-based solutions and green infrastructure, which should form a key focus of urban policy development.
{"title":"Evaluation of urban infrastructure policies in Turkey for climate resilience and adaptation","authors":"Çiğdem Tuğaç","doi":"10.1080/23789689.2022.2138162","DOIUrl":"https://doi.org/10.1080/23789689.2022.2138162","url":null,"abstract":"ABSTRACT Turkey is a country vulnerable to the negative effects of climate change. In urban areas where most of the population lives, floods occur due to sudden, short-term but heavy rains caused by climate change. Infrastructure deficiencies have also caused considerable loss of life and property. I have discussed policies and practices of public administration formed by central government and local administrations focusing on climate change resilience and adaptation. I have also evaluated policy areas that need further development. This study can contribute to finding solutions to problems faced by cities in Turkey and other nearby countries. Findings show that participatory processes involving scientific and local knowledge can play a key role. Green and blue infrastructure with grey infrastructure and associated engineering solutions should also be used. Legislation should be updated to expand the use of nature-based solutions and green infrastructure, which should form a key focus of urban policy development.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"190 - 202"},"PeriodicalIF":5.9,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47374854","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 : 2022-11-01DOI: 10.1080/23789689.2022.2108594
Rodrigo Silva-Lopez, J. Baker
ABSTRACT This study proposes the use of bridge clusters, defined as Corridors, to support optimal bridge retrofitting strategies for seismic risk management of road networks. A Corridor is defined as a set of bridges that works jointly to ensure connectivity and traffic flow between different areas of a region. To detect Corridors, a Markov Clustering Algorithm is proposed. Using the San Francisco Bay Area road network as a testbed, this clustering technique selects sets of bridges that correspond to main traffic arteries such as highways and high-capacity road segments. After Corridors have been detected, a two-stage stochastic optimization is implemented to detect which bridges should be retrofitted to ensure an acceptable network performance. This optimization couples retrofitting actions in a Corridor with the repair actions to damaged bridges after an earthquake. The Corridors-Supported Optimization decreases road network disruption more than other approaches based on ranking bridges according to their traffic capacity or location in the network.
{"title":"Use of corridors to select bridges to retrofit in road networks in seismic regions","authors":"Rodrigo Silva-Lopez, J. Baker","doi":"10.1080/23789689.2022.2108594","DOIUrl":"https://doi.org/10.1080/23789689.2022.2108594","url":null,"abstract":"ABSTRACT This study proposes the use of bridge clusters, defined as Corridors, to support optimal bridge retrofitting strategies for seismic risk management of road networks. A Corridor is defined as a set of bridges that works jointly to ensure connectivity and traffic flow between different areas of a region. To detect Corridors, a Markov Clustering Algorithm is proposed. Using the San Francisco Bay Area road network as a testbed, this clustering technique selects sets of bridges that correspond to main traffic arteries such as highways and high-capacity road segments. After Corridors have been detected, a two-stage stochastic optimization is implemented to detect which bridges should be retrofitted to ensure an acceptable network performance. This optimization couples retrofitting actions in a Corridor with the repair actions to damaged bridges after an earthquake. The Corridors-Supported Optimization decreases road network disruption more than other approaches based on ranking bridges according to their traffic capacity or location in the network.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"901 - 917"},"PeriodicalIF":5.9,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45061148","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 : 2022-10-31DOI: 10.1080/23789689.2022.2133764
Navdeep Agrawal, Laxmi Gupta, J. Dixit, S. Dash
ABSTRACT The present study aims at conducting a comprehensive seismic risk assessment for the North Eastern Region of India at regional and sub-regional levels by integrating probabilistic seismic hazard and social vulnerability assessments. Bedrock-level peak ground acceleration varied from 0.14 to 0.69g for the return period of 475 years. Using PCA, the social vulnerability index (SVI) was generated considering district-level socioeconomic indicators. Built environment quality, illiteracy, access to amenities, dependent population, and employment opportunities contributed to high SVI. Most vulnerable districts were concentrated in the Brahmaputra floodplains, Tripura fold belt, and Imphal valley. At the regional level, significant parts of Assam, Meghalaya, Arunachal Pradesh, and Tripura lie in moderate to very high-risk zones. At the sub-regional level, Nagaland accounts for the highest proportion of areas in high to very high-risk zones. The findings will aid site-specific resilient infrastructure design, disaster risk reduction, and effective resource allocation for the risk-prone areas.
{"title":"Seismic risk assessment for the North Eastern Region of India by integrating seismic hazard and social vulnerability","authors":"Navdeep Agrawal, Laxmi Gupta, J. Dixit, S. Dash","doi":"10.1080/23789689.2022.2133764","DOIUrl":"https://doi.org/10.1080/23789689.2022.2133764","url":null,"abstract":"ABSTRACT The present study aims at conducting a comprehensive seismic risk assessment for the North Eastern Region of India at regional and sub-regional levels by integrating probabilistic seismic hazard and social vulnerability assessments. Bedrock-level peak ground acceleration varied from 0.14 to 0.69g for the return period of 475 years. Using PCA, the social vulnerability index (SVI) was generated considering district-level socioeconomic indicators. Built environment quality, illiteracy, access to amenities, dependent population, and employment opportunities contributed to high SVI. Most vulnerable districts were concentrated in the Brahmaputra floodplains, Tripura fold belt, and Imphal valley. At the regional level, significant parts of Assam, Meghalaya, Arunachal Pradesh, and Tripura lie in moderate to very high-risk zones. At the sub-regional level, Nagaland accounts for the highest proportion of areas in high to very high-risk zones. The findings will aid site-specific resilient infrastructure design, disaster risk reduction, and effective resource allocation for the risk-prone areas.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"102 - 132"},"PeriodicalIF":5.9,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47467945","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 : 2022-10-21DOI: 10.1080/23789689.2022.2134644
M. Gupta, Shailly Gupta
ABSTRACT Adaptive Pathways (APs) enable holistic preparedness for infrastructure assets management across their life cycle, especially in face of disasters. Affected rural communities lose their habitat, food and livelihoods, and access to connectivity. Nevertheless, they can still take ownership and contribute in developing APs for building resilient infrastructure and enhancing combined resilience (physical, economic, community). A coding-based weighted model is used to analyse 8 Case Studies. Key findings are: (a) Strengthening of communities and local institutions through capacity building (communications APs) from inception is prerequisite for combined resilience. This is significant even in absence of other AP factors including evidence-based policy, governance, innovation; (b) Capacity building should focus on designing local resource-based approaches [LRBA], nature-based solutions [NBS], and community indigenous knowledge thereby improving other AP factors; (c) Policy formulation on asset management and quality assurance should be pre-requisite for mobilisation and funds allocation to strengthen community-led APs for combined resilience.
{"title":"Strengthening community-led development of adaptive pathways to rural resilient infrastructure in Asia and the Pacific","authors":"M. Gupta, Shailly Gupta","doi":"10.1080/23789689.2022.2134644","DOIUrl":"https://doi.org/10.1080/23789689.2022.2134644","url":null,"abstract":"ABSTRACT Adaptive Pathways (APs) enable holistic preparedness for infrastructure assets management across their life cycle, especially in face of disasters. Affected rural communities lose their habitat, food and livelihoods, and access to connectivity. Nevertheless, they can still take ownership and contribute in developing APs for building resilient infrastructure and enhancing combined resilience (physical, economic, community). A coding-based weighted model is used to analyse 8 Case Studies. Key findings are: (a) Strengthening of communities and local institutions through capacity building (communications APs) from inception is prerequisite for combined resilience. This is significant even in absence of other AP factors including evidence-based policy, governance, innovation; (b) Capacity building should focus on designing local resource-based approaches [LRBA], nature-based solutions [NBS], and community indigenous knowledge thereby improving other AP factors; (c) Policy formulation on asset management and quality assurance should be pre-requisite for mobilisation and funds allocation to strengthen community-led APs for combined resilience.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"133 - 142"},"PeriodicalIF":5.9,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47563413","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 : 2022-10-20DOI: 10.1080/23789689.2022.2134645
Vineetha Nalla, Cassidy Johnson, Nihal Ranjit, G. Sen, Ananya Peddibhotla, M. Anand, Neha Bhatia, A. Bazaz
ABSTRACT In the context of urbanisation in the Global South and increasing climate-induced disaster events, fostering resilience in infrastructure systems is critical to delivering on goals of economic development, poverty reduction, and climate action. Adaptive pathways, given its inherent consideration of uncertainty and an embedded feedback mechanism, becomes a necessary conceptual underpinning to deliver on the resilient infrastructure challenge. We argue that knowledge and iterative learning are key components that enable the flexibility of adaptive pathways. Higher education (HE) plays a critical role in influencing knowledge that is adaptive and dynamic to respond to this challenge. This study adopts a qualitative approach with a case study design to identify gaps in how urban resilient infrastructure is conceptualised and taught in HE institutions. . The study finds that interdisciplinarity, when reflected in the elements of content, pedagogy, and delivery would foster substantial critical thinking and reflexivity required to address the resilient infrastructure challenge.
{"title":"Considering curriculum, content, and delivery for adaptive pathways: higher education and disaster resilient infrastructure in the Indian urban context","authors":"Vineetha Nalla, Cassidy Johnson, Nihal Ranjit, G. Sen, Ananya Peddibhotla, M. Anand, Neha Bhatia, A. Bazaz","doi":"10.1080/23789689.2022.2134645","DOIUrl":"https://doi.org/10.1080/23789689.2022.2134645","url":null,"abstract":"ABSTRACT In the context of urbanisation in the Global South and increasing climate-induced disaster events, fostering resilience in infrastructure systems is critical to delivering on goals of economic development, poverty reduction, and climate action. Adaptive pathways, given its inherent consideration of uncertainty and an embedded feedback mechanism, becomes a necessary conceptual underpinning to deliver on the resilient infrastructure challenge. We argue that knowledge and iterative learning are key components that enable the flexibility of adaptive pathways. Higher education (HE) plays a critical role in influencing knowledge that is adaptive and dynamic to respond to this challenge. This study adopts a qualitative approach with a case study design to identify gaps in how urban resilient infrastructure is conceptualised and taught in HE institutions. . The study finds that interdisciplinarity, when reflected in the elements of content, pedagogy, and delivery would foster substantial critical thinking and reflexivity required to address the resilient infrastructure challenge.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"143 - 156"},"PeriodicalIF":5.9,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47155695","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 : 2022-10-18DOI: 10.1080/23789689.2022.2134646
Marie Buhl, S. Markolf
ABSTRACT Climate change is affecting infrastructure in complex and uncertain ways. Traditional load factors, safety factors, and design standards appear misaligned with current and anticipated future conditions. Thus, adapting infrastructure for a changing climate will likely necessitate balancing trade-offs between new and old design paradigms. This literature review summarizes advances in the implementation and research of resilient infrastructure within the context of climate change. We identified three categories of adaptation strategies: (1) assessments and frameworks to incorporate climate data and risks into infrastructure design and planning, (2) modelling of decision making under uncertainty and policy analysis, and (3) examples of best practices, case studies, and workarounds to enhance resilience. This work highlights advances in infrastructure decision making under uncertainty and ways to instill resilience into infrastructure systems. It is expected to help form a knowledge basis for transitioning to infrastructure planning, design, and implementation that is congruous with a changing world.
{"title":"A review of emerging strategies for incorporating climate change considerations into infrastructure planning, design, and decision making","authors":"Marie Buhl, S. Markolf","doi":"10.1080/23789689.2022.2134646","DOIUrl":"https://doi.org/10.1080/23789689.2022.2134646","url":null,"abstract":"ABSTRACT Climate change is affecting infrastructure in complex and uncertain ways. Traditional load factors, safety factors, and design standards appear misaligned with current and anticipated future conditions. Thus, adapting infrastructure for a changing climate will likely necessitate balancing trade-offs between new and old design paradigms. This literature review summarizes advances in the implementation and research of resilient infrastructure within the context of climate change. We identified three categories of adaptation strategies: (1) assessments and frameworks to incorporate climate data and risks into infrastructure design and planning, (2) modelling of decision making under uncertainty and policy analysis, and (3) examples of best practices, case studies, and workarounds to enhance resilience. This work highlights advances in infrastructure decision making under uncertainty and ways to instill resilience into infrastructure systems. It is expected to help form a knowledge basis for transitioning to infrastructure planning, design, and implementation that is congruous with a changing world.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"157 - 169"},"PeriodicalIF":5.9,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42028860","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 : 2022-10-18DOI: 10.1080/23789689.2022.2134648
Nita Yodo, Tanzina Afrin, O. P. Yadav, Di Wu, Ying Huang
ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure uninterrupted energy supply to support the nation's economic growth. The resilience capability in energy infrastructures can be realized through effective planning decisions and maintenance strategies by implementing the condition-based monitoring (CBM) approach. CBM minimizes the unplanned downtime of a system by monitoring the system's health status in real-time and predicting upcoming failures. Thus, the planned maintenance can be performed before failures occur. With advancements in data analytics, conventional CBM methods have been enhanced with modern artificial intelligence algorithms to improve the prediction accuracy. This paper comprehensively evaluates the importance of CBM as a robust strategy to enhance energy infrastructure resilience. The vulnerabilities of energy infrastructure and current advancements in data-driven CBM methods are detailed. Furthermore, this survey equip energy infrastructure stakeholders and practitioners with CBM knowledge in managing unforeseen disaster risks, such as power failures due to adverse weather conditions.
{"title":"Condition-based monitoring as a robust strategy towards sustainable and resilient multi-energy infrastructure systems","authors":"Nita Yodo, Tanzina Afrin, O. P. Yadav, Di Wu, Ying Huang","doi":"10.1080/23789689.2022.2134648","DOIUrl":"https://doi.org/10.1080/23789689.2022.2134648","url":null,"abstract":"ABSTRACT A resilient energy infrastructure system is exceptionally imperative to ensure uninterrupted energy supply to support the nation's economic growth. The resilience capability in energy infrastructures can be realized through effective planning decisions and maintenance strategies by implementing the condition-based monitoring (CBM) approach. CBM minimizes the unplanned downtime of a system by monitoring the system's health status in real-time and predicting upcoming failures. Thus, the planned maintenance can be performed before failures occur. With advancements in data analytics, conventional CBM methods have been enhanced with modern artificial intelligence algorithms to improve the prediction accuracy. This paper comprehensively evaluates the importance of CBM as a robust strategy to enhance energy infrastructure resilience. The vulnerabilities of energy infrastructure and current advancements in data-driven CBM methods are detailed. Furthermore, this survey equip energy infrastructure stakeholders and practitioners with CBM knowledge in managing unforeseen disaster risks, such as power failures due to adverse weather conditions.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"8 1","pages":"170 - 189"},"PeriodicalIF":5.9,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47588968","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 : 2022-10-11DOI: 10.1080/23789689.2022.2106692
Negar Rezvany, H. Kashani
ABSTRACT This study proposes a system dynamics simulation model that characterizes the dynamics post-earthquake performance of a business considering its dependency on lifelines (i.e., utilities and road networks) and the state of the market. The model characterizes the relationships between the business’s profitability and the resources it needs to operate (e.g., staff, raw materials, and equipment). It also considers the supply and demand dynamics that govern the prices of goods or services the business produces. It can be used to holistically investigate a business’s post-earthquake performance and recovery. It helps administrators acquire an insight into how to reduce the vulnerability of their businesses against probable future earthquakes. The model application is showcased by applying it to simulate the post-earthquake performance and recovery of a manufacturing business. The results indicate that, unlike retrofits, post-earthquake measures like increasing prices or changing shipping policies do not adequately mitigate earthquake-induced business losses.
{"title":"System dynamics modeling of the earthquake-induced interruption of a business","authors":"Negar Rezvany, H. Kashani","doi":"10.1080/23789689.2022.2106692","DOIUrl":"https://doi.org/10.1080/23789689.2022.2106692","url":null,"abstract":"ABSTRACT This study proposes a system dynamics simulation model that characterizes the dynamics post-earthquake performance of a business considering its dependency on lifelines (i.e., utilities and road networks) and the state of the market. The model characterizes the relationships between the business’s profitability and the resources it needs to operate (e.g., staff, raw materials, and equipment). It also considers the supply and demand dynamics that govern the prices of goods or services the business produces. It can be used to holistically investigate a business’s post-earthquake performance and recovery. It helps administrators acquire an insight into how to reduce the vulnerability of their businesses against probable future earthquakes. The model application is showcased by applying it to simulate the post-earthquake performance and recovery of a manufacturing business. The results indicate that, unlike retrofits, post-earthquake measures like increasing prices or changing shipping policies do not adequately mitigate earthquake-induced business losses.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"878 - 900"},"PeriodicalIF":5.9,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46214607","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 : 2022-10-05DOI: 10.1080/23789689.2022.2123143
I. Zisis, M. Matus, B. Hajra, P. Irwin
ABSTRACT To better understand the wind-induced response of span-wire traffic signal systems a full-scale experimental study was carried out using two testing apparatuses: a short-span test frame with coil springs installed at either side of the wires and a long-span test frame. An analytical model was developed to select the appropriate coil spring stiffness that will allow the short-span frame to match the static and dynamic behaviour of the long-span frame. Results showed good agreement between the two test frames for the total drag, total lift and inclinations experienced by the traffic signals. The two test frames also agreed well in identifying the critical wind speed for the onset of aerodynamic instability, which for some signal and hanger configurations was as low as 30 m/s.
{"title":"Development and validation of a test method to assess the wind-induced response of span wire traffic signal systems","authors":"I. Zisis, M. Matus, B. Hajra, P. Irwin","doi":"10.1080/23789689.2022.2123143","DOIUrl":"https://doi.org/10.1080/23789689.2022.2123143","url":null,"abstract":"ABSTRACT To better understand the wind-induced response of span-wire traffic signal systems a full-scale experimental study was carried out using two testing apparatuses: a short-span test frame with coil springs installed at either side of the wires and a long-span test frame. An analytical model was developed to select the appropriate coil spring stiffness that will allow the short-span frame to match the static and dynamic behaviour of the long-span frame. Results showed good agreement between the two test frames for the total drag, total lift and inclinations experienced by the traffic signals. The two test frames also agreed well in identifying the critical wind speed for the onset of aerodynamic instability, which for some signal and hanger configurations was as low as 30 m/s.","PeriodicalId":45395,"journal":{"name":"Sustainable and Resilient Infrastructure","volume":"7 1","pages":"938 - 954"},"PeriodicalIF":5.9,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48252417","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}
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