Assessing the Efficiency of Smart Cities of COVID-19 Response Measures from a Comparative Perspective

Abstract

Most cities worldwide have witnessed major disruptions and imbalances resulting from the COVID-19 pandemic, which began in 2020, and its effects are still present now. This research aims to assess smart cities' response levels when exposed to a major health pandemic such as COVID-19 by following a methodology that focuses on qualitative research to identify the areas in which smart cities respond to the Pandemic. The research assumes that smart cities respond better to Pandemics, acknowledge their ability to sustain urban functions, and achieve the well-being of their residents. The research applied these domains to two cities in different development levels, Amman in Jordan, a developing country, and Chicago in the USA, a developed country, as two case studies and compared their response to COVID-19. The research interviewed 12 experts to validate the literature review assessment domains. This research aims to assess smart cities and identify the flexibility of responding to the Coronavirus pandemic that has stormed the world for three difficult years using mixed methodologies. The research used the descriptive analytical approach, using qualitative methods, such as interviews with experts, decision-makers, and those responsible for managing the crisis. Additionally, the research collects and analyzes statistics, data, and technical reports from different agencies for both cities. The researcher concludes that smart cities can respond effectively once significant cities are exposed to such a pandemic of spread and contagion. There are consequences related to the extreme use of technologies in smart cities, especially regarding violating privacy and increasing the digital divide between sectors of society, especially senior residents. More academic debate and research are needed on how smart cities are becoming moral and equitable for their citizens. Finally, the research developed recommendations based on the results concerning municipalities, government agencies, and the private sector.