A smart disaster management system for future cities

Abstract

Smart cities have recently become the mainstream approaches for urbanisation. Environmental, social and economic sustainability, digital inclusion and high quality of life are considered important elements in smart cities design. Emergency response system and resilience are among the most crucial dimensions of smart and future cities design due to the increase in various disruptions caused by frequent manmade and natural disasters such as September 2001 and Philippines Typhoon Haiyan 2013. Disasters cause great economic and human losses each year throughout the world. Transportations and Telecommunications play a crucial role in disaster response and management. Our research is focused on developing emergency response systems for disasters of various scales with a focus on transportation systems. We have proposed and evaluated a disaster management system that uses Intelligent Transportation Systems including Vehicular Ad hoc Networks (VANETs), mobile and Cloud Computing technologies. In this paper, we report our recent work on two major evacuation strategies, Demand Strategies (DS) and Speed Strategies (SS), which provide better evacuation results in smart cities settings.

Application of Image Analytics for Disaster Response in Smart Cities

“…Alazawi et al discussed the importance of building frameworks for smart city-based disaster management context. Other notable studies in this domain have also proposed a framework for implementing intelligent transportation systems including vehicular ad hoc networks (VANETs) and cloud computing technologies [10], and smartphonebased mobile disaster management system for optimal geographical routing for volunteers and resources under limitations of time [34]. However, to the best of the author's knowledge, quantitative studies utilizing machine learning to investigate the potential of the visual content of the captured big data in smart cities effective disaster search and response were lacking.…”

“…This combined with the adoption of advanced data analytics will aid effective decision making in disaster situations. However, the limited amount of studies in this domain such as those by Asimakopoulou and Bessis [6] or Alazawi et al [10] highlight the lack of focus on utilizing the capabilities of data analytics, holistically, for disaster management as a 'smart service' in a smart city. In response to this gap in the extant literature, our current study attempts to examine the effectiveness of a specialized ML technique for disaster management in smart cities.…”

Smart Cities - An Architectural Approach

“…With the intent of presenting the role of today's technologies in this field in (Alazawi et al, 2014) it is stated that this type of systems is growing at fast pace. In contrast to (Benkhelifa et al, 2014), this work focuses on Vehicular Ad hoc Networks (VANETs), sensors, social networks and Car-to-X, where X can either be infrastructures or other cars.…”

“…This may create problems for collaborative ventures between city governments and businesses, and even with other public sector agencies, as well as with voluntary and community organisations. According to (Alazawi et al, 2014) a smart city depends on the provision of information, communication technologies and services to the population via web based services. However, the concept of smart city can, many times, be mistaken.…”

A mobile health network disaster management system

“…A few technologies and platforms, which are well positioned candidates to serve as the next generation disaster recovery systems may include [13,14,15]:…”