Disaster Risk Reduction in Mexico: Methodologies, Case Studies, and Prospective Views - Rilegato

Sanchez-partida, Diana; Martinez-flores, Jose-luis; Caballero-morales, Santiago-omar; Cano-olivos, Patricia

Rilegato

ISBN 10: 3030672948 ISBN 13: 9783030672942

Casa editrice: Springer Nature, 2021

Riassunto

This book recognizes Mexico's effects and challenges in a natural disaster and offers empirical risk-reduction methods in critical cases. 

The proposals considered here include real and detailed analysis, a set of models, frameworks, strategies, and findings in the three stages of the disaster (before–during–after).

This book:

1. describes the methodology to find secure locations for the Regional Humanitarian Response Depot;
2. offers recommendations for the sites and creation of an Export Logistics Cluster;
3. shows how to use available technology and information to locate volunteers in the right spots
4. describes mathematical models to help to allocate procedure of resources for restoring the affected community
5. and proposes actions to create resilience in the country's main economic sectors, including agriculture and industry.

The processes applied at recent disasters such as the 19S earthquake and their results are used as case studies, identifying possibilities for further improvement. The book also describes new trends for Mexico due to climate change and makes suggestions for mitigating future disasters. 

The proposals are also replicable to other highly populated societies with similar socio-economic structures. Finally, this book is the basis for generating more innovative recommendations by researchers, graduate students, academics, professionals, and practitioners to obtain better planning and better collaboration between all the humanitarian chain actors. 

This book intends to be of interest as a fundamental tool for decision-makers, governments, non-governmental organizations, and enterprises.

Su questo libro

Informazioni sull?autore

Diana Sánchez-Partida is Professor–Researcher and Academic Director of the Postgraduate in Logistics and Supply Chain Management at Universidad Popular Autónoma del Estado de Puebla (UPAEP) in Mexico. Sánchez-Partida is the leader of the Humanitarian Logistics Group in the same institution. She received a Ph.D. in Logistics and Supply Chain Management. She has been granted a doctorate and post-doctorate scholarship by CONACyT. Since 2018, she has been a member of the National Council of Researchers (SNI level 1) in Mexico.  Her research areas of interest are Disaster Risk Reduction, Humanitarian Logistics, Resilience in Economic Activities, and Logistics Operations.

José-Luis Martínez-Flores is a researcher of the Postgraduate in Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. He received a Ph.D. in Mathematics. His objectives in research are the optimization and implementation of models for problems in the field of logistics through the use of information technologies. He is a member of the National Council of Researchers (SNI level 1) in Mexico.

Santiago-Omar Caballero-Morales is a professor-researcher in the Department of Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. In 2009, he received a Ph.D. in Computer Science from the University of East Anglia in the United Kingdom. Since 2011 he has been a member of the National Council of Researchers (SNI level 1) in Mexico. His research interests are quality control, operations research, combinatorial optimization, pattern recognition, analysis and simulation of manufacturing processes, and human-robot interaction.

Patricia Cano-Olivos is a professor-researcher in the Department of Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. She received a Ph.D. in Logistics and Supply Chain Management. Her research interests are risks in the Supply Chain and Logistics management models. She is a member of the National Council of Researchers (SNI level 1) in Mexico.

Dalla quarta di copertina

This book recognizes Mexico's effects and challenges in a natural disaster and offers empirical risk-reduction methods in critical cases. 

The proposals considered here include real and detailed analysis, a set of models, frameworks, strategies, and findings in the three stages of the disaster (before during after).

This book:

1. describes the methodology to find secure locations for the Regional Humanitarian Response Depot;
2. offers recommendations for the sites and creation of an Export Logistics Cluster;
3. shows how to use available technology and information to locate volunteers in the right spots
4. describes mathematical models to help to allocate procedure of resources for restoring the affected community
5. and proposes actions to create resilience in the country's main economic sectors, including agriculture and industry.

The processes applied at recent disasters such as the 19S earthquake and their results are used as case studies, identifying possibilities for further improvement. The book also describes new trends for Mexico due to climate change and makes suggestions for mitigating future disasters. 

The proposals are also replicable to other highly populated societies with similar socio-economic structures. Finally, this book is the basis for generating more innovative recommendations by researchers, graduate students, academics, professionals, and practitioners to obtain better planning and better collaboration between all the humanitarian chain actors. 

This book intends to be of interest as a fundamental tool for decision-makers, governments, non-governmental organizations, and enterprises.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030672948
• ISBN 13: 9783030672942
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 392
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania