Social Network Analysis for Implementation of the Sendai Framework for Disaster Risk Reduction in Iran

2021 ◽  
pp. 1-9
Author(s):  
Homa Yousefi Khoshsabegheh ◽  
Ali Ardalan ◽  
Amirhossein Takian ◽  
Leila Hedayatifar ◽  
Abbas Ostadtaghizadeh ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Sampling Technique ◽  
Disaster Risk ◽  
Civil Defense ◽  
Snowball Sampling ◽  
Sendai Framework

Abstract Background: Stakeholders are responsible for managing the risks of disasters. Hence, appropriate, collaborative, timely interactions of involved organizations, and having a collective view of these interactions, have an important influence on the operation of the whole system. This study was aimed at social network analysis (SNA) for the implementation of the Sendai framework for disaster risk reduction in Iran. Methods: SNA was used in this study. A review of literature on disaster risk management (DRM) plus snowball sampling technique identified a list of 85 stakeholders. Delphi method among purposefully selected experts was used to score the relationship between the stakeholders. Louvain method, along with the modularity optimization method, was applied to identify groups of stakeholders with greater interactions. Centrality measurements were used to define organizations with key-roles in the network. Results: The density of this network was 0.75, which showed that not all the stakeholders were connected. The National Disaster Management Organization and Civil Defense Organization showed higher influences considering their responsibilities. A total of 3 clusters of stakeholders with specific duties that mostly interact with each other and have some interaction with other groups were recognized. Conclusion: Understanding the pre-disaster interaction of the network and the strengths and weaknesses of the interactions among stakeholders could help improve DRM.

scholarly journals Analisa Interaksi Pegawai Pada CV. Diamond Printing Menggunakan Social Network Analysis (SNA)

2021 ◽  
Vol 14 (1) ◽  
pp. 152-161
Author(s):  
Budi Santoso ◽  
Danny Manongga ◽  
Irwan Sembiring
Keyword(s):  
Communication Network ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Performance Indicator ◽  
Sampling Technique ◽  
Snowball Sampling ◽  
Offset Printing ◽  
Work Effectiveness ◽  
Collaboration And Communication

Diamond Printing is one of the largest offset printing companies with 32 years of experience and is located in the city of Surabaya, East Java. Data from HRD managers explained that there was no report from observations related to employee work effectiveness in terms of coordination and synergy between employees as seen from the communication and collaboration relationships. The absence of data related to the effectiveness of the performance of CV employees. Diamond Printing in terms of communication network mapping is one of the obstacles faced by HRD in determining KPI (key performance indicator). By using the Social Network Analysis (SNA) method with the help of UCINET 6 software, it is hoped that some employees will have advantages, especially in collaboration and communication in group network structures. There are three parameters used in SNA, including: degree centrality, closeness centrality, and betweenness centrality. This study involved 104 respondents (the entire population) with a sampling technique using snowball sampling and a questionnaire as a means of collecting data. The results of this study indicate that most of the collaboration and communication network interactions are dominated by manager level employees and department heads. Based on these findings, an innovation is needed from all stakeholders from CV. Diamond Printing in developing effective communication methods between its members.

Social Network Analysis for the Implementation of Sendai Framework for Disaster Risk Reduction in Iran

2019 ◽  
Author(s):  
Homa Yousefi Khoshsabegheh ◽  
Ali Ardalan ◽  
Amir Hossein Takian ◽  
Leila Hedayatifar ◽  
Abbas Ostadtaghizadeh ◽  
...  
Keyword(s):  
Risk Management ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Optimization Methods ◽  
Optimization Method ◽  
Disaster Risk ◽  
Civil Defense ◽  
Disaster Risk Management ◽  
The Status

Abstract Background: Over recent years, the exposure of people and assets to disasters has been faster than reducing vulnerability in all countries. As a result, new risks have been formed and losses due to disaster are progressively increasing. Suffering from significant losses in the aftermath of disasters every year, Iran is no exception. Governmental and non-governmental stakeholders are jointly responsible for managing the risks of disasters. Hence, appropriate, collaborative and timely interactions of involved organizations will play an important role in their operation, especially during disasters. Methods: In this study, we used the Social Network Analysis (SNA) to analyze the network of stakeholders in disaster risk management in Iran. Our review of literature, laws, and regulations of disaster risk management plus brainstorming identified a list of 85 stakeholders. We used the Delphi method among purposefully selected experts to score the relationship between the stakeholders. We then used the modularity optimization method to identify groups with greater interaction. Organizations with key-roles in the network and the ones in need of stronger relationships were identified through centrality measurements. Results: The density of this network was 0.75, which represented that not all the stakeholders were connected. Among all organizations identified, the National Disaster Management Organization and Civil Defense Organization showed higher influences considering their responsibilities. Conclusion: To provide a visual and tangible picture of the status and interrelationships among the stakeholders, this method identified groups with better interaction using community/cluster detection and modularity optimization methods. Understanding the current structure of the network and strengths and weaknesses of the interactions among stakeholders may help improve disaster risk management in Iran. Results of this research determine the role and importance of different organizations, their weakness, and strong points. Also, results help them to plan to strengthen their roles and solve their problems.

Development and validation of a geospatial model for monitoring indicators of the Sendai framework using the example of flooding in Ecuador

2021 ◽  
Author(s):  
Manuel Urrutia ◽  
Guido Riembauer ◽  
Angel A. Valdiviezo-Ajila ◽  
Stalin Jímenez ◽  
Antonio R. Andrade ◽  
...  
Keyword(s):  
United Nations ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Geospatial Data ◽  
Sendai Framework ◽  
Loss And Damage ◽  
Flood Loss ◽  
Information Products ◽  
Development And Validation

<p>The Sendai Framework for Disaster Risk Reduction (SFDRR) provides a concrete agenda for evidence-based policy for disaster risk reduction as a key component of the post-2015 global development agenda. However, the progress of implementing the seven Global Targets of the SFDRR at the national level via the monitor of a set of thirty-eight indicators is obstructed due to a lack of available, accessible, and validated data on disaster-related loss and damage, especially in developing countries. This weakens the accuracy, timeliness, and quality of the Sendai monitoring process. In the case of floods, which account for the highest number of people affected by hazards,[WY1]  there is a strong need for innovative and  appropriate tools for monitoring and reporting flood impacts.</p><p>The country of Ecuador and their validated national flood loss and damage database, which stretches back to 1970, is a stark counterpoint to the norm and serves as the case study for this research. In this research we develop a geospatial model approach, which combines earth observation-based information products with additional geospatial data to result quantitative measures for selected indicators of the SFDRR and validate them based on an existing database on flood loss and damage in Ecuador. Specifically, we build on automated  derivation of flood event characteristics from a full year of Sentinel-1 synthetic aperture radar data to assess flood hazard in Ecuador, and complement this with geospatial data on flood-related exposure and vulnerability to model selected indicators of the SFDRR in a spatially explicit way. The validation process of this geospatial model is conducted in reference to in situ loss and damage data related to flooding for the years 2017, 2018, and 2019. The derivation of information products is conducted in close collaboration with the National Service for Risk and Emergency Management of the Government of Ecuador, the country office of the United Nations Development Program, and the United Nations Office for Disaster Risk Reduction. It is thereby assured that the development and validation of this methodology is in line with the national and international approach of implementing the SFDRR.</p><p> </p>

Piani comunali di protezione civile: origini, sviluppo e nuove azioni di pianificazione territoriale (parte i)

TERRITORIO ◽  
2021 ◽  
pp. 170-176
Author(s):  
Daniele F. Bignami ◽  
Giovanni Menduni
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Sendai Framework

La normativa degli ultimi venti anni dà ai piani comunali di protezione civile un valore crescente tra le attività di pianificazione del territorio, ma i relativi caratteri specifici stentano ad affermarsi tra gli addetti. Questo contributo, nella prima parte, restituisce il percorso, dalla genesi a oggi, della pianificazione di protezione civile nel nostro paese, ricostruendone l'evoluzione tra norme e indirizzi. L'esito culminato nel D.Lgs. 1/2018 definisce i ruoli di sindaci, strutture amministrative comunali, regioni, volontariato e prefetture. La seconda parte espone il nuovo ruolo del piano di protezione civile comunale nel quadro del ‘Sendai Framework for Disaster Risk Reduction' e offre spunti per la cruciale direttiva nazionale sulla pianificazione di protezione civile in fase di stesura.

scholarly journals “DISASTER RESILIENT SOCIETY WITH YOUTH” PROJECT OF THE CIVIL DEFENCE ORGANIZATION AIMING DISASTER RISKS REDUCTION

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 205-209
Author(s):  
Y. Eker ◽  
M. Yılmabaşar
Keyword(s):  
Risk Reduction ◽  
Disaster Management ◽  
Disaster Risk Reduction ◽  
Public Awareness ◽  
Economic Loss ◽  
Disaster Risk ◽  
Practical Training ◽  
Turkish Republic ◽  
Sendai Framework ◽  
Civil Defence

<p><strong>Abstract.</strong> The loss of lives, injuries and the damage on economies that occur as a result of disasters is increasing due to the changing nature. People need to adopt themselves to be able to resist against disasters. Nevertheless, minimizing the costs of disasters can achieved not individually but rather by a well-organized social system. This requires a decentralized disaster management system that would allow participation of not only central authorities but also widespread volunteers. Also, pre-emptive cautions to raise public awareness and capabilities about how to struggle against disasters are very important component of being well organized. Turkish Republic of Northern Cyprus (TRNC) Civil Defence Organization has constituted the “Disaster Resilient Society with Youth Project” to reduce number of loss of life, injuries and economic loss as global targets envisaged in Sendai Framework for Action. This project is being implemented in line with the objects of Sendai Framework for Disaster Risk Reduction which is inspired from the principle of “Disaster risk reduction requires an all-of-society engagement and partnership. While the project is managed by Civil Defence Organization, it is implemented by the participation of volunteers. The project is the last phase of a series of projects which have been realized for 35 years in line with the same goal of reducing loss of lives, injuries and economic loss while various concepts targeted to address different levels of the society. The objective of the Project is to firstly choose some individuals and then train them to have disaster consciousness and awareness about disaster management cycle in society. These people would potentially provide support to responding official teams in case of an unexpected disaster. For this reason, the project also involves practical training and practices as complementary to the theoretical education phase. In the first place, a four year road map is determined to improve the project by identifying disruptions and weaknesses compared to similar projects around the world. The establishment of target groups of the Project within youth is important not only to improve the effectiveness of responding phase, but also to maintain a sustainable system for the progression of the Project. In order to encourage and increase the participation of volunteers to the Project, it is planned to issue certificates, badges and prize for those who would be successful during the training phase. In order to achieve the goals of the Project, the project managers seek collaboration of universities, local authorities, central authorities and nongovernmental organizations which are seen as stakeholders.</p>

Exploring Network Analysis for Urban Planning and Disaster Risk Reduction in Informal Settlements

2020 ◽  
Vol 3 (1) ◽  
pp. 30-45
Author(s):  
Vicente Sandoval ◽  
Juan Pablo Sarmiento ◽  
Erick Alberto Mazariegos ◽  
Daniel Oviedo
Keyword(s):  
Network Analysis ◽  
Urban Planning ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Informal Settlements ◽  
Disaster Risk ◽  
Centrality Measures ◽  
Analysis Tool ◽  
Urban Resilience ◽  
Street Networks

The work explores the use of street network analysis on informal settlements and discusses the potential and limitations of this methodology to advance disaster risk reduction and urban resilience. The urban network analysis tool is used to conduct graph analysis measures on street networks in three informal settlements in the LAC region: Portmore, Jamaica; Tegucigalpa, Honduras; and Lima, Peru. Authors incorporate risk variables identified by these communities and combine them with prospective scenarios in which street networks are strategically intervened to improve performance. Authors also compute one graph index named Reach centrality. Results are presented spatially through thematic maps, and statistically by plotting cumulative distributions. Findings show that centrality measures of settlements' networks helped identify key nodes or roads that may be critical for people's daily life after disasters, and strategic to improve accessibility. The proposed methodology shows potential to inform decisions on urban planning and disaster risk reduction.

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