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Artykuły w czasopismach na temat „Risk infrastructure”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Lawson, Harold W. "Infrastructure risk reduction." Communications of the ACM 41, no. 6 (1998): 120. http://dx.doi.org/10.1145/276609.276626.

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Eapen, Gayas. "Jugaad Infrastructures: Platforming Habituated Ecologies during the Kerala Floods of 2018." Asiascape: Digital Asia 9, no. 1-2 (2022): 119–43. http://dx.doi.org/10.1163/22142312-bja10030.

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Abstract Infrastructure has often been approached through the built, and yet hidden, substrates that facilitate modern life. In postcolonial contexts, the rise of platformized solutions tasked with performing infrastructural functions has introduced complexity in theorizing infrastructure. However, provisional and temporary solutions that bring together networks, relationships, and habitations as jugaad (informal or workaround) infrastructure have the potential to address crises beyond neoliberal capture enabled through platformization. This paper uses theories on alternative ways of assemblin

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3

Ezell, Barry C., John V. Farr, and Ian Wiese. "Infrastructure Risk Analysis Model." Journal of Infrastructure Systems 6, no. 3 (2000): 114–17. http://dx.doi.org/10.1061/(asce)1076-0342(2000)6:3(114).

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4

Govindarajan, Dinesh Kumar. "Functional Cost and Risk Management in Infrastructure Projects." International Journal of Research Publication and Reviews 6, no. 1 (2025): 1054–56. https://doi.org/10.55248/gengpi.6.0125.0452.

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5

Srinivas, K. "Risk Assessment for Managing Risks in Infrastructure Projects." Prabandhan: Indian Journal of Management 8, no. 6 (2015): 26. http://dx.doi.org/10.17010/pijom/2015/v8i6/70731.

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Burtonshaw-Gunn, S. A. "Management of Risk in private funded international infrastructure projects." International Conference on Business & Technology Transfer 2004.2 (2005): 24–29. http://dx.doi.org/10.1299/jsmeicbtt.2004.2.0_24.

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7

AOKI, Kazuya. "Measuring Deterioration Risk of Infrastructure." INFRASTRUCTURE PLANNING REVIEW 25 (2008): 17–35. http://dx.doi.org/10.2208/journalip.25.17.

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Vega, Arturo Olvera. "Risk Allocation in Infrastructure Financing." Journal of Structured Finance 3, no. 2 (1997): 38–42. http://dx.doi.org/10.3905/jsf.3.2.38.

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9

Ivanytska, Olha, and Oleksandr Voznenko. "Risk management of critical infrastructure." Fìnansi Ukraïni 2024, no. 6 (2024): 93–107. http://dx.doi.org/10.33763/finukr2024.06.093.

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Introduction. In the conditions of war and other systemic challenges, deepening the scientific understanding of risk management of critical infrastructure facilities (CIF) is an urgent scientific and practical task of public administration. Creating a systemic conceptual vision of the application of approaches, methods, forms and tools for managing CIF risks will help to respond quickly and timely to external disturbances, attacks, and disruptions to the normal operation of such facilities. Problem Statement. Risk management of critical infrastructure facilities. The purpose is to deepen scien

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10

Kelic, Andjelka. "Cyber Risk in Critical Infrastructure." ACM SIGMETRICS Performance Evaluation Review 46, no. 2 (2019): 72–75. http://dx.doi.org/10.1145/3305218.3305243.

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11

Sorokin, Victor I., Andrey A. Stanin, Magomedrasul M. Gadzhiev, and Lyubov K. Shamina. "REGION ECONOMIC SECURITY: REGIONAL INFRASTRUCTURE RISK SPECIFICS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 10/5, no. 139 (2023): 105–27. http://dx.doi.org/10.36871/ek.up.p.r.2023.10.05.012.

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This article discusses the infrastructural category of regional risks. Assessment of this type of risk within a region is an important process because it allows you to identify and assess potential threats and vulnerabilities associated with infrastructure in a particular region. This is important because infrastructure is the foundation of economic and social development and provides vital services for the population. Another reason for the importance of assessing infrastructure risks is to ensure the safety and protection of the population – vulnerabilities in infrastructure can pose a dange

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12

Sandybayeva, U. "Critical Infrastructure Studies in the Social Sciences and Humanities." Bulletin of the L.N. Gumilyov Eurasian National University. Historical Sciences. Philosophy. Religion Series 144, no. 3 (2023): 269–89. http://dx.doi.org/10.32523/2616-7255-2023-144-3-269-289.

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Over the last 20-30 years there has been an interdisciplinary «infrastructure shift». Infrastructural themes have taken root in academic research in the social sciences and humanities. The methodological strategies of this approach have demonstrated their explanatory power in addressing many contemporary problems, which makes this approach attractive. Critical infrastructure study has emerged as a basis for combining thinking about the complex relationships between society and its material structures. It can be postcolonial research, feminist theories, science and technology research, and more

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13

Yao, Xijun, Hsi-Hsien Wei, Igal M. Shohet, and Miroslaw J. Skibniewski. "Assessment of Terrorism Risk to Critical Infrastructures: The Case of a Power-Supply Substation." Applied Sciences 10, no. 20 (2020): 7162. http://dx.doi.org/10.3390/app10207162.

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This paper presents a novel approach for estimating the vulnerability level of critical infrastructure confronting potential terrorist threats and assessing the usefulness of various protection strategies for critical infrastructure (CI). A methodology, utilizing a combination of topological network analysis and game theory, is presented to evaluate the effectiveness of protection strategies for certain components in the infrastructure under various attack scenarios. This paper focuses on protective strategies that are based on different attack scenarios as well as on the connectivity of the c

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14

Li, Yi, and Yuren Chen. "A New Method Based on Field Strength for Road Infrastructure Risk Assessment." Journal of Advanced Transportation 2018 (September 25, 2018): 1–13. http://dx.doi.org/10.1155/2018/6379146.

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Because road infrastructures have significant impact on driving safety, their risk levels need to be evaluated dynamically according to drivers’ perception. To achieve this, this paper proposes two field strength models to quantify the impact of road infrastructures on drivers. First, road infrastructures are classified into two types (continuous and discrete). Then, two field strength models for these types are proposed. Continuous field strength model describes the impact of long-belt-shape infrastructure by differential and integral methods. Discrete field strength model describes the stati

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15

Hamlet, Leigh C., Mark Mwiti Kamui, and Jessica Kaminsky. "Infrastructure for water security: coping with risks in rural Kenya." Journal of Water, Sanitation and Hygiene for Development 10, no. 3 (2020): 481–89. http://dx.doi.org/10.2166/washdev.2020.038.

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Abstract Achieving universal access to sufficient water is becoming more challenging as climate change exacerbates water insecurity. Previous studies of water insecurity and climate-related hazards recommend understanding how people perceive and manage water-related risks. By uniquely combining protection motivation theory and photovoice, we explore water infrastructure's function in rural Kenyan households’ perception and mitigation of water-related risk. We find that infrastructure construction provides a sense of security, regardless of long-term management plans. During the dry season, bui

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16

Alolote, Amadi. "The Anatomy of Geotechnical Risk Factors in Transportation Infrastructure Projects." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 4, no. 5 (2018): 20–30. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.45.2002.

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Ground conditions constitute a key risk factor that can ultimately determine the successful performance of construction contracts, with the literature reporting statistics of projects which have significantly exceeded their initial budget due to geotechnical uncertainties. The study explores the nature of geotechnical risk factors in transportation infrastructure projects, which potentially lead to cost overruns. The study provides a kaleidoscopic view of the various routes to managing risks due to the ground, at the preconstruction phases of highway projects, and how a lack thereof, can culmi

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17

Mallik, Satyaranjan, and Jyoti Prakash Giri. "Road Safety Enhancement through Infrastructure Upgrades and Comprehensive Risk Audits." International Journal of Research Publication and Reviews 6, no. 4 (2025): 8681–87. https://doi.org/10.55248/gengpi.6.0425.1551.

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18

Balakin, S. V., and B. I. Dolintse. "Risk assessment in computer networks inherent in critical infrastructures." Problems of Informatization and Management 2, no. 70 (2022): 4–9. http://dx.doi.org/10.18372/2073-4751.70.16840.

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This work is devoted to the problem of risk assessment in computer networks that are inherent in critical infrastructures. The work shows the place of the risk assessment process in the global risk management process, as well as its goals, content and objectives. The most important infrastructure nodes and their interrelations are considered. The system of security indicators proposed for risk assessment in computer networks of critical infrastructures. Aspects of risk management of exceeding critical state variables of the threshold values of the crisis range for the object's information tech

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19

Eidsvig, Unni Marie K., Krister Kristensen, and Bjørn Vidar Vangelsten. "Assessing the risk posed by natural hazards to infrastructures." Natural Hazards and Earth System Sciences 17, no. 3 (2017): 481–504. http://dx.doi.org/10.5194/nhess-17-481-2017.

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Abstract. This paper proposes a model for assessing the risk posed by natural hazards to infrastructures, with a focus on the indirect losses and loss of stability for the population relying on the infrastructure. The model prescribes a three-level analysis with increasing level of detail, moving from qualitative to quantitative analysis. The focus is on a methodology for semi-quantitative analyses to be performed at the second level. The purpose of this type of analysis is to perform a screening of the scenarios of natural hazards threatening the infrastructures, identifying the most critical

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20

Free, Matthew, Sara Anderson, Charles Milloy, and Juliet Mian. "Geohazard risk management for infrastructure projects." Proceedings of the Institution of Civil Engineers - Civil Engineering 159, no. 6 (2006): 28–34. http://dx.doi.org/10.1680/cien.2006.159.6.28.

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21

Marques, J. R., and M. Da Conceição Cunha. "Infrastructure Management Methodologies in Risk Situations." International Journal of Sustainable Development and Planning 6, no. 1 (2011): 1–12. http://dx.doi.org/10.2495/sdp-v6-n1-1-12.

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22

Stewart, Mark G. "Acceptable Risk Criteria for Infrastructure Protection." International Journal of Protective Structures 1, no. 1 (2010): 23–40. http://dx.doi.org/10.1260/2041-4196.1.1.23.

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23

Salem, Shady, Ahmad Siam, Wael El-Dakhakhni, and Michael Tait. "Probabilistic Resilience-Guided Infrastructure Risk Management." Journal of Management in Engineering 36, no. 6 (2020): 04020073. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000818.

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24

Peterson, D. J., and Eric K. Bielke. "Russia's Industrial Infrastructure: A Risk Assessment." Post-Soviet Geography and Economics 43, no. 1 (2002): 13–25. http://dx.doi.org/10.1080/10889388.2002.10641191.

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25

Emanuelsson, M. A. E., N. McIntyre, C. F. Hunt, R. Mawle, J. Kitson, and N. Voulvoulis. "Flood risk assessment for infrastructure networks." Journal of Flood Risk Management 7, no. 1 (2013): 31–41. http://dx.doi.org/10.1111/jfr3.12028.

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26

Theofilatos, Athanasios, Katerina Folla, Alexandra Laiou, Stergios Mavromatis, and George Yannis. "Identifying infrastructure risk factors in Africa." Transportation Research Procedia 48 (2020): 3163–72. http://dx.doi.org/10.1016/j.trpro.2020.08.167.

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27

Xenidis, Yiannis, and Eleftherios Stavrakas. "Risk based Budgeting of Infrastructure Projects." Procedia - Social and Behavioral Sciences 74 (March 2013): 478–87. http://dx.doi.org/10.1016/j.sbspro.2013.03.049.

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28

Doh, Jonathan P., and Ravi Ramamurti. "Reassessing Risk in Developing Country Infrastructure." Long Range Planning 36, no. 4 (2003): 337–53. http://dx.doi.org/10.1016/s0024-6301(03)00069-4.

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29

Ben Ammar, Semir, and Martin Eling. "Common risk factors of infrastructure investments." Energy Economics 49 (May 2015): 257–73. http://dx.doi.org/10.1016/j.eneco.2015.01.021.

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30

Klapkiv, Jurij. "THE INFRASTRUCTURE OF THE INSURANCE RISK." International Journal of New Economics and Social Sciences 2, no. 2 (2015): 96–101. http://dx.doi.org/10.5604/01.3001.0010.3869.

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The infrastructure risk as an economic category, the reasons for the appearance. Implemented the concept of prejudice and shows the elements of risk. Considers the organizational-economic methods of manipulation of insurance risks to ensure minimum damage.

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31

Kakimoto, Ryuji, and Prianka N. Seneviratne. "Financial Risk of Port Infrastructure Development." Journal of Waterway, Port, Coastal, and Ocean Engineering 126, no. 6 (2000): 281–87. http://dx.doi.org/10.1061/(asce)0733-950x(2000)126:6(281).

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32

Badea, Dorel, Crenguţa Macovei, Olga Maria Cristina Bucoveţchi, and Marian Coman. "Risk Perception Related to Critical Infrastructure." Scientific Bulletin 21, no. 1 (2016): 1–7. http://dx.doi.org/10.1515/bsaft-2016-0029.

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Abstract Through this article it is brought to attention the essential aspects related to the perceived risks for critical infrastructure, both theoretically and practically, considering perception as an important input in the risk management process. For the practical part, the added value component in the field consists from the results of research based on survey, conducted in a wider framework of determining the level of awareness of the critical infrastructure issue by a pilot sample, consisting of persons with managerial and operational attributions in this sector.

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Le Dissez, Aurélie, Eric Lagroy De Croutte, and Luc Hamm. "MANAGEMENT PLAN FOR CLIMATE RESILIENCE OF COASTAL AREAS IN TOGO." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 22. http://dx.doi.org/10.9753/icce.v36.risk.22.

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Bight of Benin coast is highly vulnerable to climate change and one of its negative effects: sea level rise. It affects the coastal zones of Ghana, Togo and Benin. Within these areas, a substantial impact is expected not only on livelihoods but also on key infrastructure in coastal areas, leading to the destruction of coastal line and its habitats, socio-economic mutations and beach erosion increase. In Togo, the erosion retreat, due to improper coastal and infrastructure management, has been estimated between 5 to 10 meters per year during the period 1955-1985 and 20 to 30 meters per year dur

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34

Espada, Rodolfo Jr, Armando Apan, and Kevin McDougall. "Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation." International Journal of Disaster Resilience in the Built Environment 6, no. 3 (2015): 313–46. http://dx.doi.org/10.1108/ijdrbe-02-2014-0019.

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Purpose – The purpose of this paper is to present a novel approach that examines the vulnerability and interdependency of critical infrastructures using the network theory in geographic information system (GIS) setting in combination with literature and government reports. Specifically, the objectives of this study were to generate the network models of critical infrastructure systems (CISs), particularly electricity, roads and sewerage networks; to characterize the CISs’ interdependencies; and to outline the climate adaptation (CA) and flood mitigation measures of CIS. Design/methodology/appr

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35

Thacker, Scott, Stuart Barr, Raghav Pant, Jim W. Hall, and David Alderson. "Geographic Hotspots of Critical National Infrastructure." Risk Analysis 37, no. 12 (2017): 2490–505. http://dx.doi.org/10.1111/risa.12840.

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36

Haraguchi, Masahiko, and Soojun Kim. "Critical infrastructure interdependence in New York City during Hurricane Sandy." International Journal of Disaster Resilience in the Built Environment 7, no. 2 (2016): 133–43. http://dx.doi.org/10.1108/ijdrbe-03-2015-0015.

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Purpose This study aims to investigate the impact of Hurricane Sandy from the perspective of interdependence among different sectors of critical infrastructure in New York City and to assess the interconnected nature of risks posed by such a hurricane. Design/methodology/approach This study uses indirect damages of each sector to estimate the degree of functional interdependence among the sectors. The study examines the impact of the hurricane on different critical infrastructures by combining hazard maps of actual inundation areas with maps of critical infrastructure. The direct damages of ea

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37

BECKVARD, HENRIK P. "PROTECTING CRITICAL INFRASTRUCTURE AND CRITICAL INFORMATION INFRASTRUCTURE." CONTEMPORARY MILITARY CHALLENGES 2022, no. 2 (2022): 15–28. http://dx.doi.org/10.33179/bsv.99.svi.11.cmc.24.2.1.

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Abstract Regardless of how you define critical infrastructure, and critical information infrastructure as part of it, these are elements necessary for the functioning, integrity and security of a digitised society. Mapping what is critical (information) infrastructure and assessing the risks and hazards to it is a first step towards protection, along with a risk decision to either mitigate, remediate or accept the risk. For the protection of critical (information) infrastructure it is necessary to coordinate efforts and collaboration between sectors, which are often interdependent. Public-Priv

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38

Bloomfield, Pamela, and F. Daniel Ahern. "Long-Term Infrastructure Partnerships: Contracting Risks and Risk-Reduction Strategies." State and Local Government Review 43, no. 1 (2011): 49–59. http://dx.doi.org/10.1177/0160323x11400435.

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39

Rezvani, Seyed M. H. S., Maria João Falcão Silva, and Nuno Marques de Almeida. "Mapping Geospatial AI Flood Risk in National Road Networks." ISPRS International Journal of Geo-Information 13, no. 9 (2024): 323. http://dx.doi.org/10.3390/ijgi13090323.

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Previous studies have utilized machine learning algorithms that incorporate topographic and geological characteristics to model flood susceptibility, resulting in comprehensive flood maps. This study introduces an innovative integration of geospatial artificial intelligence for hazard mapping to assess flood risks on road networks within Portuguese municipalities. Additionally, it incorporates OpenStreetMap’s road network data to study vulnerability, offering a descriptive statistical interpretation. Through spatial overlay techniques, road segments are evaluated for flood risk based on their

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40

Liu, Zhen, Lijie An, Dong-Joo Kim, and Junyou Liu. "Risk Management of Large Infrastructure Projects: Risk, Uncertainty, and Complexity." Journal of Architectural Research and Development 6, no. 5 (2022): 20–24. http://dx.doi.org/10.26689/jard.v6i5.4255.

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The development of large infrastructure projects requires the consideration of many different risks in advance, of which the two common risks are strategic risk and project risk. This study provides an overview of the different relevant literature on risk management of large infrastructure projects. Based on the Hong Kong section of the Guangzhou-Shenzhen-Hong Kong high-speed rail, this study identified the project’s main strategic risks and project risks, and provided suggestions for risk management.

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41

Scheel, Freek, Wiebe De Boer, Arjen Luijendijk, Ronald Stive, and Ruud Bouw. "AN INTEGRATED AND INTERACTIVE TOOLBOX FOR THE DESIGN OF COASTAL INFRASTRUCTURE." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 101. http://dx.doi.org/10.9753/icce.v36.risk.101.

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Coastal engineering design studies often rely on detailed numerical models that involve various mono-disciplinary physical processes, complex numerics and large computational demands. As a consequence, these models are particularly useful to address specific questions that arise during project phases focusing on detailed design. In contrast, during early project phases focusing on project feasibility, proof-of-concept and preliminary engineering efforts, these detailed numerical models suffer from their aforementioned characteristics. Now, aspects such as interactivity, flexibility and multi-d

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42

Soilán, Sánchez-Rodríguez, Río-Barral, Perez-Collazo, Arias, and Riveiro. "Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring." Infrastructures 4, no. 4 (2019): 58. http://dx.doi.org/10.3390/infrastructures4040058.

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Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, vandalism or terrorist actions. One of the most relevant aspects of resilience is preparation. This is directly related to: (i) the risk prediction capability; (ii) the infrastructure monitoring; and (iii) the systems contributing to anticipate, prevent and prepare the infrastructure for potential damage. This work focuses on those methods and tec

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Kong, Jingjing, Slobodan P. Simonovic, and Chao Zhang. "Sequential Hazards Resilience of Interdependent Infrastructure System: A Case Study of Greater Toronto Area Energy Infrastructure System." Risk Analysis 39, no. 5 (2018): 1141–68. http://dx.doi.org/10.1111/risa.13222.

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Ongkowijoyo, Citra S., Hemanta Doloi, and Argaw Tarekegn Gurmu. "Hybrid risk analysis model for analyzing the urban infrastructure risk." International Journal of Disaster Risk Reduction 48 (September 2020): 101600. http://dx.doi.org/10.1016/j.ijdrr.2020.101600.

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Eismann, Christine. "Trends in Critical Infrastructure Protection in Germany." TRANSACTIONS of the VŠB – Technical University of Ostrava, Safety Engineering Series 9, no. 2 (2014): 26–31. http://dx.doi.org/10.2478/tvsbses-2014-0008.

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Abstract Critical Infrastructures failures cause harmful consequences to the population, because they disrupt the supply of necessary goods and services. The failures pose an indirect threat, as they will regularly be triggered by natural hazards, technical failure/human error or intentional acts. In the risk analyses on the national level in Germany, Critical Infrastructure failures are qualitatively described to estimate their impacts on society. Critical Infrastructure Protection is seen as a joint task of many different stakeholders. Rules and regulations with different degrees of compulsi

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Guikema, Seth, Laura McLay, and James H. Lambert. "Infrastructure Systems, Risk Analysis, and Resilience-Research Gaps and Opportunities." Risk Analysis 35, no. 4 (2015): 560–61. http://dx.doi.org/10.1111/risa.12416.

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Guo, Zhenyu, and Yacov Y. Haimes. "Risk Assessment of Infrastructure System of Systems with Precursor Analysis." Risk Analysis 36, no. 8 (2016): 1630–43. http://dx.doi.org/10.1111/risa.12559.

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48

Shortridge, Julie, and Janey Smith Camp. "Addressing Climate Change as an Emerging Risk to Infrastructure Systems." Risk Analysis 39, no. 5 (2018): 959–67. http://dx.doi.org/10.1111/risa.13234.

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Ramsden, Jerald, Justin Lennon, and Benny Louie. "CLIMATE ADAPTATION DECISION-MAKING: THE GULF COAST PHASE 2 PILOT STUDY." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 100. http://dx.doi.org/10.9753/icce.v36.risk.100.

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The Gulf Coast Study is an initiative from the U.S. Department of Transportationâ€™s Office of Sustainability to study the projected impacts of climate change on transportation infrastructure in the Gulf Coast region. The Phase 2 portion of the Gulf Coast Study was focused on the greater Mobile, Alabama, area with the purpose of providing detailed assessments of the performance of critical infrastructure under specific climate change threats in a coastal environment. This presentation will include a discussion of the Adaptation Decision-making Assessment Process (ADAP) that was developed by WS

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Yang, Tai Hua, Qing Hua Zheng, and Yang Wang. "Fuzzy Comprehensive Assessment of Urban Underground Power Cable Infrastructure Safety Risk." Advanced Materials Research 860-863 (December 2013): 2544–48. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2544.

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The power cable is one of the most important infrastructures, which safety and reliability is of an important significance to the stability and development of urban. To the safety risk features of urban power cable infrastructure, this paper proposed the safety risk evaluation index system and quantitative identification method based on analyzing the composition and construction features, and established the fuzzy comprehensive evaluation model of underground cable infrastructure safety risk. A case study shows that this method is feasible, and consistent with the practical construction, and p

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