Resilience of human settlements against landslide risk: The case of Kurdistan Province, Iran

crisis management; futures assessment; landslides; propellants; scenario making; Crisis management; Future assessment; Human settlements; Kurdistan; Landslide areas; Mixed method; Organisational; Problems and challenges; Scenario making; Strategic approaches; Environmental Chemistry; Development; Environmental Science (all); Soil Science; General Environmental Science

Abstract :

[en] This study aimed to identify the problems and challenges facing the resilience of landslide areas using the strategic approach of futures studies (futurology) and its scenarios. Methodologically, this study is novel as it applied the mixed-method (qualitative-quantitative) analysis based on the futures studies approach to explore the efficient resilience scenarios of human settlements against landslide risks in the Kurdistan Province, Iran. This study is original and innovative in terms of thematic aspects as it attempted to provide a new and practical approach to identify the degree of resilience and challenges in the framework of strategic planning in the short, medium, and long terms. The findings of the qualitative phase showed that the most efficient scenario for improving the resilience of human settlements is the preparation scenario. The results of the quantitative phase revealed that the identified propellants for this scenario included improving organizational integrity and crisis management, organizational communication, increasing local institutions and community participation, improving insurance coverage, increasing the education and skills of people against landslide risks, zoning and characterizing high-risk areas, balanced distribution of services at the regional level, and increasing convenient access to transport networks during the crisis. Considering that crisis management before the occurrence of risk is unsuitable for Iran, therefore, identifying the bottlenecks and challenges facing crisis management using a futures studies approach can be an important step to provide affective programmes to solve the problems and predict the impacts of the natural hazards.

Disciplines :

Agriculture & agronomy

Author, co-author :

Khezri, Saeed ; Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

Ahmadi Dehrashid, Atefeh ; Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

Bijani, Masoud ; Department of Agricultural Extension and Education, College of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran

Valizadeh, Naser ; Department of Agricultural Extension and Education, School of Agriculture, Shiraz University, Shiraz, Iran

Nasrollahizadeh, Bahram ; Department of Climatology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

Izadi, Farnaz ; Department of Urban Planning, Faculty of Engineering, Islamic Azad University, Sanandaj, Iran

Ahmadi Dehrashid, Hossein ; Department of Human Geography, Faculty of Geography, University of Tehran, Tehran, Iran

Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Research Group Climate Change and Security, Institute of Geography, University of Hamburg, Hamburg, Germany ; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic

Scheffran, Jürgen ; Research Group Climate Change and Security, Institute of Geography, University of Hamburg, Hamburg, Germany

Language :

English

Title :

Resilience of human settlements against landslide risk: The case of Kurdistan Province, Iran

Publication date :

December 2021

Journal title :

Land Degradation and Development

ISSN :

1085-3278

eISSN :

1099-145X

Publisher :

John Wiley and Sons Ltd

Volume :

Issue :

Pages :

5360 - 5377

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.4114

Funding text :

We would like to express our appreciation to all the participants, without whom this study would be impossible.

Available on ORBi :

since 15 February 2023

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