Abstract

Smart cities support the enhancement of the quality of life of their residents, for which the use of a robust integrated platform of information and communication technology is required. However, not all cities have similar technology infrastructure and a similar understanding of the quality of life. Therefore, holistic planning, resource support, security, continuous updates, and dynamic operational enhancements should be considered while planning smart cities. However, a smart city could be vulnerable to security threats and a loss of personal or classified information due to the complexity of technology integration. Therefore, understanding and assessing different risks and embedding risk management mechanisms would be required to minimize vulnerability exposure in smart cities. This paper proposes a risk assessment method using the Dempster–Shafer theory for smart city planning. The Dempster–Shafer theory is used here to analyze the risks perceptions of experts. The principal component analysis method is used to analyze the data obtained from risk assessment. The application of this method is determined through a smart city test case in Qatar.

Highlights

  • Electronics 2021, 10, 3080. https://The smart city concept was introduced in the early 1990s to integrate advanced information and communication technology (ICT) [1] to facilitate different processes and services in the cities

  • The scope of the paper is limited to the assessment and providing an understanding of the risk impact so that the planners can consider it for smart city development

  • The paper contributes by developing a risk assessment methodology and demonstrating its use in a smart city planning situation

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Summary

Introduction

Electronics 2021, 10, 3080. https://The smart city concept was introduced in the early 1990s to integrate advanced information and communication technology (ICT) [1] to facilitate different processes and services in the cities. The primary goals considered for a smart city project were the enhancements in quality of life, economy, transport and traffic, clean and sustainable environment, and access to interaction with the government’s relevant authorities [2]. The smart city concept is considered in terms of dimensions, such as smart mobility [3], smart governance, smart living, smart people, and smart environment [4,5,6]. Current smart city risk assessments methods focus on an individual smart city system, such as smart mobility and transportation systems [10] and smart home applications [11]. The mitigation of the effects of technological risks, such as interoperability, network connectivity, security, and privacy, and non-technical risks, such as managerial, political, environmental, and user trust and adoption, can only be attained by holistic risk assessment [12]

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