Building back better is the goal of post-disaster recovery. However, most of the extant literature focuses on hardware reconstruction and there is a lack of attention on the social aspect of recovery. This study aims to understand the role of culture in the recovery process of relocating indigenous communities through tourism livelihood. A Tsou indigenous settlement, relocated after the 2009 Typhoon Morakot in Taiwan, was used as a case study. Field data were collected through participant observations in tourism and community activities as well as semi-structured interviews over a period of 15 months. The study found that appealing to a relocated tribe’s culture, not their land, as their community’s foundation could reduce conflicts within the community and increase social resilience. Indigenous culture-based tourism could serve as an important source of livelihood for such tribes, supporting long-term development. This study highlights community-based cultural tourism as a post-disaster livelihood revival approach which is beneficial for a resilient recovery. Culture could reduce disaster risk through a transformation to a livelihood source and further become the base of community resilience. Instead of promoting detached culture preservation, this study argues that a livelihood-relevant culturally innovative transformation could create a win–win situation for both post-disaster community recovery and culture inheritance.
Building an industrial safety and disaster prevention management (ISDPM) system can effectively prevent unforeseen industrial accidents, such as fires, explosions, releases of hazardous chemicals, and leaks of poisonous gases. To prevent disasters caused by the smoldering and spontaneous combustion of hazardous wastes in a hazardous waste storage area, we proposed a novel intelligent environmental monitoring system (IEMS) for ISDPM applications. The proposed IEMS based on the integration of a monitoring sensor network, remote central database server, desktop/laptop/mobile network, and smart user interface has the ability to smartly and automatically help users prevent disasters from occurring. Through using network connections, all of the devices were able to perform real-time actual data transmission directly. Therefore, users could select a communication product from anywhere at any time to scrutinize the details of the overall current ambient environmental information, including surveillance images, thermal images, gas concentrations, air quality, temperature, and humidity. The results obtained with the proposed IEMS in practical field tests suggest its high suitability for use in a wide range of industries.
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