Smart Cities

Abstract

Key concepts, definitions, examples, and historical contexts for understanding smart cities, along with discussions of both drawbacks and benefits of this approach to urban problems. Over the past ten years, urban planners, technology companies, and governments have promoted smart cities with a somewhat utopian vision of urban life made knowable and manageable through data collection and analysis. Emerging smart cities have become both crucibles and showrooms for the practical application of the Internet of Things, cloud computing, and the integration of big data into everyday life. Are smart cities optimized, sustainable, digitally networked solutions to urban problems? Or are they neoliberal, corporate-controlled, undemocratic non-places? This volume in the MIT Press Essential Knowledge series offers a concise introduction to smart cities, presenting key concepts, definitions, examples, and historical contexts, along with discussions of both the drawbacks and the benefits of this approach to urban life. After reviewing current terminology and justifications employed by technology designers, journalists, and researchers, the book describes three models for smart city development—smart-from-the-start cities, retrofitted cities, and social cities—and offers examples of each. It covers technologies and methods, including sensors, public wi-fi, big data, and smartphone apps, and discusses how developers conceive of interactions among the built environment, technological and urban infrastructures, citizens, and citizen engagement. Throughout, the author—who has studied smart cities around the world—argues that smart city developers should work more closely with local communities, recognizing their preexisting relationship to urban place and realizing the limits of technological fixes. Smartness is a means to an end: improving the quality of urban life.

Perception of the Quality of Smart City Solutions as a Sense of Residents’ Safety

“…By collecting information on the features, quality level of activities, and how they are perceived in terms of safety in smart cities [69], we analyzed the rich literature on this subject. By analyzing this article, as well as other works [6,13,70,71], it was possible to distinguish a group of factors that have the greatest impact on the satisfaction of residents [8], which includes intelligent solutions, their applications, operation and content, relations with residents, reliability and the possibility of using codes and coupons [72].…”

Networked Digital Technologies and Urban Big Data Analytics for Internet of Things-enabled Smart Governance

“…Reacting to, adjusting to, and predicting citizens' needs and behaviors, smart cities are sensitized spots where digital media are purposively assimilated as infrastructure and software to gather, inspect, and share huge amounts of data in real-time to handle and inform decisions as regards urban settings and undertakings. Acquiring more algorithmically assessed data concerning public service delivery and deployment will result in optimized city services (Halegoua, 2020). (Tables 1-10) Sources: ESI ThoughtLab; our survey among 4,600 individuals conducted March 2020.…”

“…Using digital media infrastructures, smart city administration patterns depend on the assessment and conceptualization of urban undertakings as advanced data streams. The assimilation of digital infrastructure, integrated technologies, and predictive analytics used to drive urban administration is associated with high-speed networks and ubiquitous connectivity (Halegoua, 2020).…”

Algoritma Epsilon Greedy pada Reinforcement Learning untuk Modulasi Adaptif Komunikasi Vehicle to Infrastructure (V2I)

“…Sistem transportasi cerdas merupakan bagian penting dalam pengembangan sebuah kota cerdas (smart city) (Halegoua, 2020). Pada sistem transportasi cerdas, kendaraan dapat berkomunikasi dengan berbagai infrastruktur atau kendaraan lain.…”