Social innovation and natural disasters: the "Casa Italia" Plan

2017 ◽  
pp. 87-102 ◽  
Author(s):  
Francesco Pagliacci ◽  
Margherita Russo ◽  
Laura Sartori
2020 ◽  
Vol XVIII (3) ◽  
pp. 653-668
Author(s):  
Mirna Karzen ◽  
Damir Demonja

A well-told story has always been the cornerstone of good marketing and business, that is, »sales« and products and destinations. Faced with increasing competitiveness and increasingly demanding visitors seeking active nature tourism and integrated facilities, tourism stakeholders face the challenges of designing innovative tourism content that will, above all, »tell the story« and create a full, multisensory experience. Main ingredient of this holistic approach to destination development reflects primarily in the fact that the community is involved into all facets of development. The location turns into a destination once a location is harmonized with the needs of the tourists. Involving visitors in the life of the destination decreases the negative impact tourism might have and creates sustainability. How does this process work in the case of natural disasters or pandemic crises? How can storytelling become an important vehicle for connecting people and creating a disaster resilient cultural heritage? What are the tools in disaster risk management especially when we talk about cultural heritage? The underlying question is also: how do/may social innovation/participatory governance contribute to a more resilient and inclusive, cultural heritage and how can such approaches be improved and applied across Europe? This paper will explain the importance of storytelling in the context of pandemic crises as COVID-19 is, but also other natural disasters such as earthquakes or floods that are due to climate change and manmade influence more frequent than ever. Based on the results of research and examples of good practice (Croatian and European), this paper will identify basic steps and tools that can help both private and public stakeholders create quality product and content. By using examples of case studies, it will also argue that innovative approaches and participatory governance could contribute to a more resilient and inclusive cultural heritage and ultimately desired tourist destinations.


2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.


ICCREM 2020 ◽  
2020 ◽  
Author(s):  
Ruining Ma ◽  
Qingpeng Man
Keyword(s):  

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.


2015 ◽  
pp. 184-186
Author(s):  
Lucia Ferrara
Keyword(s):  

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