Jaroslav Mysiak

Bio: Jaroslav Mysiak is an academic researcher from Ca' Foscari University of Venice. The author has contributed to research in topics: Disaster risk reduction & Decision support system. The author has an hindex of 25, co-authored 121 publications receiving 2523 citations. Previous affiliations of Jaroslav Mysiak include Eni & Helmholtz Centre for Environmental Research - UFZ.

Sendai Framework for Disaster Risk Reduction – Success or Warning Sign for Paris?

Abstract: In March 2015, a new international blueprint for disaster risk reduction (DRR) has been adopted in Sendai, Japan, at the end of the Third UN World Conference on Disaster Risk Reduction (WCDRR, March 14-18, 2015). We review and discuss the agreed commitments and targets, as well as the negotiation leading the Sendai Framework for DRR (SFDRR) and discuss briefly its implication for the later UN-led negotiations on sustainable development goals and climate change.

Integrating human behaviour dynamics into flood disaster risk assessment

Abstract: The behaviour of individuals, businesses, and government entities before, during, and immediately after a disaster can dramatically affect the impact and recovery time. However, existing risk-assessment methods rarely include this critical factor. In this Perspective, we show why this is a concern, and demonstrate that although initial efforts have inevitably represented human behaviour in limited terms, innovations in flood-risk assessment that integrate societal behaviour and behavioural adaptation dynamics into such quantifications may lead to more accurate characterization of risks and improved assessment of the effectiveness of risk-management strategies and investments. Such multidisciplinary approaches can inform flood-risk management policy development.

Towards the development of a decision support system for water resource management

Abstract: Developing decision support systems for environmental applications is an intricate, challenging task. The increasing complexity of environmental decision problems, the growing number of subjects involved and keen competition between conflicting interests make decisions and decision support difficult. Decision support systems have been developed since the 1970s to help tackle semi-structured and unstructured decision problems. Despite their popularity, the success of DSS development is uncertain and many computerised decision-support tools have failed when dealing with complex and unstructured problems. This article describes the development methodology and progress of mDSS, a decision support system for water resource management that has been developed under the European research project MULINO. The mDSS tool is designed to integrate environmental (especially hydrological) models with multiple-criteria evaluation procedures. A number of prototypes have been developed and the final version is expected at the end of the 3-year project. The system’s development is driven by the experience acquired in several case studies selected in five European countries. Although the main aim of the MULINO project and the DSS is to help with increasingly complex decisions of general water management, the concepts of sustainable river basin management introduced by the water framework directive are addressed as well. � 2004 Elsevier Ltd. All rights reserved.

The European commission

Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

社会研究方法基础 = The Basics of Social Research

Abstract: Part I: AN INTRODUCTION TO INQUIRY. 1. Human Inquiry and Science. 2. Paradigms, Theory, and Research. 3. The Ethics and Politics of Social Research. Part II: THE STRUCTURING OF INQUIRY: QUANTITATIVE AND QUALITATIVE. 4. Research Design. 5. Conceptualization, Operationalization, and Measurement. 6. Indexes, Scales, and Typologies. 7. The Logic of Sampling. Part III: MODES OF OBSERVATION: QUANTITATIVE AND QUALITATIVE. 8. Experiments. 9. Survey Research. 10. Qualitative Field Research. 11. Unobtrusive Research. 12. Evaluation Research. Part IV: ANALYSIS OF DATA:QUANTITATIVE AND QUALITATIVE . 13. Qualitative Data Analysis. 14. Quantitative Data Analysis. 15. Reading and Writing Social Research. Appendix A. Using the Library. Appendix B. Random Numbers. Appendix C. Distribution of Chi Square. Appendix D. Normal Curve Areas. Appendix E. Estimated Sampling Error.

Mitigation and Adaptation Strategies for Global Change

Abstract: ▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again