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IDRiM 2019 abstract submission ・Author Min,Y.,Atsumi,T. 1.Graduate School of Human Sciences,Osaka University,Japan 2.Nippon Volunteer Network Active in Disaster ・Title Collaboration with disaster volunteer activities through Social Networking Service(SNS) ・Abstract Now more and more people are using SNS, like Facebook and Twitter. It is not only used for daily communication but also plays a huge role in information dissemination. In this study, I focus on solving some problems that occur in the disaster relief field by using SNS. The problems can be summarized into two aspects. Firstly, Many volunteers will gather in the hotspots which most covered by the mainstream media. At the disaster relief site, the distribution of human resource and the medical supplies are unbalanced. We need to know the complete situation of the whole disaster area and ensure the rational allocation of relief resources based on real-time and reliable information. Furthermore, at the disaster relief site, not only the volunteer center but also the NPOs are rescuing the victims. More and more volunteers tend to wait in the volunteer center for the follow-up instructions and this is a waste of resources and will leave the rescue forces vacant and may miss SVO. We need to find a method to optimize the ratio from the information aspect by grasping the information of mainstream media and the information by SNS. This study will analyze the SNS to determine whether the information on the SNS can help the disaster rescue in the event of a natural disaster. And try to find out the way to use SNS correctly and improve the efficiency of disaster relief. ・Keyword SNS, volunteer, volunteer center, NPO,

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Page 1: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

IDRiM 2019 abstract submission

・Author

Min,Y.,Atsumi,T.

1.Graduate School of Human Sciences,Osaka University,Japan

2.Nippon Volunteer Network Active in Disaster

・Title

Collaboration with disaster volunteer activities through Social Networking Service(SNS)

・Abstract

Now more and more people are using SNS, like Facebook and Twitter. It is not only used for

daily communication but also plays a huge role in information dissemination.

In this study, I focus on solving some problems that occur in the disaster relief field by using

SNS. The problems can be summarized into two aspects. Firstly, Many volunteers will gather

in the hotspots which most covered by the mainstream media. At the disaster relief site, the

distribution of human resource and the medical supplies are unbalanced. We need to know

the complete situation of the whole disaster area and ensure the rational allocation of relief

resources based on real-time and reliable information. Furthermore, at the disaster relief

site, not only the volunteer center but also the NPOs are rescuing the victims. More and more

volunteers tend to wait in the volunteer center for the follow-up instructions and this is a

waste of resources and will leave the rescue forces vacant and may miss SVO. We need to find

a method to optimize the ratio from the information aspect by grasping the information of

mainstream media and the information by SNS.

This study will analyze the SNS to determine whether the information on the SNS can help

the disaster rescue in the event of a natural disaster. And try to find out the way to use SNS

correctly and improve the efficiency of disaster relief.

・Keyword

SNS, volunteer, volunteer center, NPO,

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Consideration on Human Resource Cooperation among Local Governments

after Disasters

Ryosuke Aota 1

1 Graduate School of Disaster Resilience and Governance, University of Hyogo

Email: [email protected]

Abstract

When a huge disaster happens in Japan, unaffected local governments (prefectures and municipal-

ities) dispatch their staff to support affected governments. Such cooperation has become popular

since the Great East Japan Earthquake in 2011. I consider significance, merits and challenging is-

sues by such cooperation.

These supports almost cover the whole areas of which local governments are in charge, including

housing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-

cation. It is quite useful to complement decreased function by affected governments, while these

governments cope with so much response after disasters.

The types of support are varied. Some are initiated by the national government. Others are directly

done by local governments. The latter mainly includes arrangements by regional blocks among

neighboring prefectures, cooperation by sister cities and improvised cooperation without any frame-

work before disaster. However, there is little link or harmonization among these types. Such situation

causes more confusion when affected governments receive support. We should establish new sys-

tem to coordinate support activities effectively.

I divide broadly the types into two categories. The first one is to dispatch technical staff (ex. architect,

civil engineer, medical doctor or care worker). Since roll allotment is clear, it is still easier to make

arrangement by the central government or among local governments. But human resource is limited,

and it is difficult to ensure dispatched staff for a long period of time.

The second one is about support of general affairs including temporary shelter and house damage

survey. Affected governments require many number of staff for a short period. The problem is that

affected ones cannot afford to making necessary arrangements to avoid both overlap and vacancy

of supporting staff.

And many governments, which did not have experience in and know-how about disasters, need

assistance in decision making for their mayors or governors. Last year the Ministry of Internal Affairs

and Communications developed the new system to make counterparts among local governments.

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But the system is still new and in the process of try and error. I propose the following some points to

promote this system 1) these counterparts should be based on face to face relationship before dis-

asters, 2) supporting local governments should make use of more experienced retirement staff, 3)

the national government should provide more financial resource to supporting local governments.

Such cooperation will lead to good preparation for future disasters.

Keywords

“cooperation among local governments”, “staff dispatching”, “coordination of variety of supports”,

“counterpart system” and “preparation for future disasters”

MEETING FORMAT*

*Select an option (X).

Regular Poster Presentation

Young Scientist Poster Presentation

X Regular Oral Presentation

Young Scientist Oral Presentation

Symposia

Roundtable

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AREAS*

Natural hazards

X Seismic

X Flooding

X Subsidence

X Hurricanes

X Landslides

X Volcanic eruption

X Wildfire

Technological and manmade hazards

Chemical and petrochemical industry

Nuclear industry

New and emergent technologies

Transportation

Natech

Critical infrastructures

Cyber attacks

Terrorism

Complex hazard interactions and sys-

temic risks

Climate change and its impact

Natech

Epidemics / pandemics

Critical infrastructures

TOPICS*

*Select an option (X)

Learning from experience

X Organizations, territories and experience feedback

Expertise and knowledge management

Weak signals

Early warning systems

Social and human sciences for risk

and disaster management

X Human, organizational and societal factors

X Risk perception, communication and governance

X Systemic approaches

Risk and safety culture

Resilience, vulnerability and sustainability: concepts and

applications

X History and learning from major accidents and disasters

X Territorial and geographical approaches to major acci-

dents and disasters

Social and behavioral aspects

Page 5: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

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Cross-disciplinary challenges for inte-

grated disaster risk management

Compound/cascading disasters (simultaneous and/or co-

located) and Mega-disasters

Connecting observed data and disaster risk management

decision-making

X Practical applications of Integrated Disaster Risk Man-

agement

Development and disasters

Build Back Better (than Before)

Disaster-driven innovation and transformation

STGs and disaster governance

Complex systems

Complexity Modeling

System of Systems / Distributed Systems

Critical Infrastructures

Probabilistic Networks

Economics and Insurance

Disaster impacts and economic loss estimation

Cost-benefit approaches

Insurance and reinsurance

Decision, risk and uncertainty

Decision aiding and decision analysis.

Disaster risk communication

Ethics.

Gender

Responsibility

X Governance, citizen participation and deliberation

Community engagement and communication

Scientific evidence-based decision-making, modelling

and analytics

X Policy analysis

Uncertainty and ambiguity

Multi-criteria decision aid and analysis

X Operational research

Artificial intelligence, big data and text

data mining

Disaster informatics, big data, etc.

Deep learning

Neural networks

Experts systems

Text data mining

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Engineering Models

Numerical modelling & functional numerical modeling

Formal models / formal proofs

Model-based approach

Safe and resilient design and management.

Legislation, standardization and im-

plementation

X X X Certification and standardization.

X Regulation and legislation.

X Legal issues (scientific expertise, liability, etc.).

X Precautionary principle and risk control and mitigation.

SIGNIFICANCE TO THE FIELD*

*Select an option (X)

X Demonstrates current theory or practice

X Employs established methods to a new question

Presents new data

Presents new analysis

X Presents a new model

Groundbreaking

Assesses developments in the field, in one or more

countries

Other (Please specify)

EXPECTED CONTRIBUTIONS*

*Select an option (X)

Theoretical

X Applied

Theoretical and Applied

X Review

X Perspective

X Others (lessons learned)

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IDRiM 2019 - Nice France, 16-18 October, 2019

Abstract

Bijayanand Misra, Professor Emeritus

“Sharpening knowledge and tools of IDRiM practice at local level for promotion of

coordinated participatory local initiatives and creation of sustainable resilient

communities.”

The presentation focuses on sharpening the scope of IDRiM practice for being

comprehensive and be able to reduce better vulnerability and risk at the local level.

Reviewing evidence based lessons drawn from recent disasters in different economic, social

and cultural conditions in Asia the presentation highlights the link between risk, knowledge

and learning and suggests methods how IDRiM practice can be more effective at the local

level and promote local initiatives.

We experience constantly changing disaster related uncertainties and their short and long

term impact on the life of people, business and industry. Gap between knowledge and

practice in IDRiM is well known and is most pronounced at the local level. This demands

more intensive and systematic understanding of ground realities and local disaster culture

and also the initiatives taken by the local stakeholders, their successes and failures, in

responding to disaster.

Extreme weather related disasters are becoming frequent and heir severity unprecedened.

We see recently cyclones, floods, droughts, land erosion and land-slides occur more

frequently in Asia with unprecedented severity. The local communities are invariably the

worst victims and available capabilities are often overwhelmed.

Enhancing capability of all stakeholders at the local level and promoting their integrated

participatory action is a priority task. In order to perform the task we need to devise

methods and tools that would enable us to learn better through integrating different

knowledge systems at different spatial and cultural levels. The IDRiM practice at the local

level should be more relevant before the different sector actors and policy makers engaged

in the local level ground action in DRR? There is he need to understand better and learn

better from studying the dynamics of current and possible local response in IDRiM practice.

The presentation draws on the available evidence based lessons on the recent extreme

weather related disasters in Asia, particularly South Asia. It suggests how we can bridge the

above mentioned gaps in knowledge and more effectively deal with the ‘Last Mile’ of IDRiM

practice and reduce human suffering.

Page 8: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

Submitter: William Siembieda, California Polytechnic State University-San Luis Obispo, CA. Email: [email protected] Title: Regional Collaboratives for Climate Adaptation and Resilience: California’s emerging smart territories experiment Abstract An IDRiM conference challenge is: How to foster individual, organizational and territorial abilities to manage and govern known and emerging risks and resiliencies. This challenge is linked to the conference theme of smart territories for sustainable and resilient cities and organizations. The notion of “smart territories” is conceived of as geographic spaces in which knowledge-intensive activities are undertaken, such that for cooperation and innovation are made (Komninos, 2014). The guidance on how a smart territory forms, and evolves over time is subject to debate. In California (USA), there is evidence that smart territories are emerging in the form of Regional Collaboratives. This paper examines these collaboratives, how their knowledge-intensive characteristics and functional contributions promote lowering emerging risks and building resilience? Of particular interest is what ways do they create learning institutions and innovative ecosystems that allow their constituent communities to solve emergent problems. The collaboratives all operate as part of the Alliance of Regional Collaboratives for Climate Adaptation (ARCCA), a type of territorial management system promoted cross administrative boundaries and focus on shared interests related to climate change. ARCCA is not unique in CA as there are other organizations that work regionally, such as ground-water basin associations. ARCCA creates conditions for territorial alliances through creating knowledge intensive toolkits and promoting rural-urban connections. The seven voluntary, organic, regional collaboratives in California are, Los Angeles, San Diego, Central Coast, BayCAN, Capital Region, Sierra Camp and North Coast. Each covers different spatial territory; most are coastal; four urban and three smaller city/rural. Each has a paying (fee) member group of local government institutions, non-profits and universities. They use environmental and adaptation components to build resilience to climate impacts, and regional hazards. Data for this project is obtained through interviews with staff members at each collaborative, and content analysis of projects produced and undertaken. The contribution is applied: testing the smart territories model in terms disaster risk governance and understanding territorial organizational dynamics. References: Komninos, N. (2014), The age of intelligent cities: Smart environments and innovation for all strategies. New York: Routledge.

Page 9: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

Parada, J. “Social Innovation for “Smart” Territories: Fiction or Reality? in Problemas del Desarrollo. Revista Latinoamericana de Economía. Instituto de Investigaciones Económicas, Universidad Nacional Autónoma de México. Volume 48, Number 190. July-September 2017.

Page 10: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

Climate Change and Risk Perception among Urban Poor Communities Belize City Case Study

Judith Cuadra1 1 Florida State University

Email: [email protected]

Abstract

Cities in the developing world are experiencing an explosion in population due to international migra-

tion and systematic disinvestment of rural areas, these two factors lead to unplanned extreme ur-

banization. This extreme growth of urban dwellers is expected to reach to more than 60% of the total

world population by 2030 (UN,2018). Cities in the developing world are often unprepared to receive

these migrants thus adding to the number of illegal settlements and slum dwellers in urban spaces.

Lack of affordable and sustainable housing means new urban dwellers use informal systems of hous-

ing to settle in mostly disaster prone areas (Quarantelli, 2003). Climate change and the increased

disaster risk associated with it can effectively hinder the development cycle in these countries, cities

and communities. A cycle of disaster, reconstruction and recovery that is never ending (World Cities

Report, 2016). The FSU Emergency Management and Homeland Security Program (FSU-EMHS)

through its research branch; the Center for Disaster Risk Policy (CDRP), has been working in part-

nership with local governments and NGOs to further the goals of disaster risk reduction. This paper

describes a cooperative project between the Belize Association of Planners (BAP) and a team of

CDRP researchers that aimed to assess and identify risk perceptions associated with climate change

and disaster risk among two urban poor communities in Belize City. The author worked with BAP

leaders to create a questionnaire based on existing climate risk perception manuals but that also

included local perspectives relevant to Belizean communities. The members of the Jane Usher and

Between Canals communities were interviewed on their perceived risks and their understanding of

the role of climate change in their lives. Results show that while there is general agreement on the

consequences of climate change in everyday life, the communities knew little of how to protect them-

selves in this new climate scenario. An aerial mapping conducted simultaneously using drones

showed that these communities are growing without formal urban planning, often mangroves and

other wetlands are eradicated to create more living spaces. The results of the study helped inform

the Building Community Resilience to Natural Hazards and Climate Change initiative that the BAP is

currently implementing with the support of GEF-SGP-UNDP. With this knowledge and tools, BAP

has been conducting workshops and trainings geared specifically to increase knowledge and share

community-based disaster prevention tactics for the families at Jane Usher and Between Canals.

Keywords

Climate change, urbanization, urban poor, urban spaces, risk perceptions

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MEETING FORMAT*

*Select an option (X). Regular Poster Presentation

Young Scientist Poster Presentation X Regular Oral Presentation Young Scientist Oral Presentation Symposia Roundtable

AREAS*

Natural hazards

Seismic Flooding Subsidence Hurricanes Landslides Volcanic eruption Wildfire

Technological and manmade hazards

Chemical and petrochemical industry Nuclear industry New and emergent technologies Transportation Natech Critical infrastructures Cyber attacks Terrorism

Complex hazard interactions and sys-temic risks

X Climate change and its impact Natech Epidemics / pandemics Critical infrastructures

TOPICS*

*Select an option (X)

Learning from experience

Organizations, territories and experience feedback

Expertise and knowledge management

Weak signals

Early warning systems

Social and human sciences for risk and disaster management

X Human, organizational and societal factors

X Risk perception, communication and governance

Page 12: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

3

Systemic approaches

Risk and safety culture

Resilience, vulnerability and sustainability: concepts and applications

History and learning from major accidents and disasters

Territorial and geographical approaches to major acci-dents and disasters

X Social and behavioral aspects

Cross-disciplinary challenges for inte-grated disaster risk management

Compound/cascading disasters (simultaneous and/or co-located) and Mega-disasters

Connecting observed data and disaster risk management decision-making

Practical applications of Integrated Disaster Risk Man-agement

X Development and disasters Build Back Better (than Before) Disaster-driven innovation and transformation STGs and disaster governance

Complex systems

Complexity Modeling System of Systems / Distributed Systems Critical Infrastructures Probabilistic Networks

Economics and Insurance

Disaster impacts and economic loss estimation Cost-benefit approaches

Insurance and reinsurance

Decision, risk and uncertainty

Decision aiding and decision analysis. X Disaster risk communication Ethics. Gender Responsibility Governance, citizen participation and deliberation Community engagement and communication Scientific evidence-based decision-making, modelling

and analytics Policy analysis Uncertainty and ambiguity Multi-criteria decision aid and analysis Operational research

Page 13: IDRiM 2019 abstract submissionhousing, civil engineering, urban planning, industry, health, medical, welfare, environment and edu-cation. It is quite useful to complement decreased

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Artificial intelligence, big data and text data mining

Disaster informatics, big data, etc.

Deep learning

Neural networks

Experts systems

Text data mining

Engineering Models

Numerical modelling & functional numerical modeling Formal models / formal proofs Model-based approach Safe and resilient design and management.

Legislation, standardization and im-plementation

Certification and standardization. Regulation and legislation. Legal issues (scientific expertise, liability, etc.). Precautionary principle and risk control and mitigation.

SIGNIFICANCE TO THE FIELD*

*Select an option (X)

Demonstrates current theory or practice

Employs established methods to a new question

X Presents new data

Presents new analysis

Presents a new model Groundbreaking

X Assesses developments in the field, in one or more countries

Other (Please specify)

EXPECTED CONTRIBUTIONS*

*Select an option (X)

Theoretical

X Applied

Theoretical and Applied

Review

Perspective

Other (Please specify, e.g. success/failure practices, les-sons learned, and other implementation evidence)