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Amman City, Jordan: Toward a Sustainable City from the Ground Up

Ra'Fat Al-Msie'deen

TL;DR

This paper examines how Amman can become a sustainable city by reviewing smart city concepts, technologies, and a case study of Amman. It surveys core ICT modalities (IoT, AI, Big Data Analytics) and architectures (cloud, fog, edge) and uses Yin's taxonomy to categorize city domains. It presents Amman's IMD ranking, a 2019 governance roadmap, and a set of implemented projects (e-payments, smart traffic, BRT, smart streetlights, etc.), highlighting benefits like increased service efficiency and ongoing challenges such as population growth and funding. It identifies research opportunities in Computer Vision (CV) in healthcare, AI, blockchain, and education, and argues that progress hinges on education, investment, strategy, and inclusive digital transformation. The analysis provides practical guidance for policymakers and city planners seeking to replicate or adapt Amman's approach in similar urban contexts.

Abstract

The idea of smart cities (SCs) has gained substantial attention in recent years. The SC paradigm aims to improve citizens' quality of life and protect the city's environment. As we enter the age of next-generation SCs, it is important to explore all relevant aspects of the SC paradigm. In recent years, the advancement of Information and Communication Technologies (ICT) has produced a trend of supporting daily objects with smartness, targeting to make human life easier and more comfortable. The paradigm of SCs appears as a response to the purpose of building the city of the future with advanced features. SCs still face many challenges in their implementation, but increasingly more studies regarding SCs are implemented. Nowadays, different cities are employing SC features to enhance services or the residents quality of life. This work provides readers with useful and important information about Amman Smart City.

Amman City, Jordan: Toward a Sustainable City from the Ground Up

TL;DR

This paper examines how Amman can become a sustainable city by reviewing smart city concepts, technologies, and a case study of Amman. It surveys core ICT modalities (IoT, AI, Big Data Analytics) and architectures (cloud, fog, edge) and uses Yin's taxonomy to categorize city domains. It presents Amman's IMD ranking, a 2019 governance roadmap, and a set of implemented projects (e-payments, smart traffic, BRT, smart streetlights, etc.), highlighting benefits like increased service efficiency and ongoing challenges such as population growth and funding. It identifies research opportunities in Computer Vision (CV) in healthcare, AI, blockchain, and education, and argues that progress hinges on education, investment, strategy, and inclusive digital transformation. The analysis provides practical guidance for policymakers and city planners seeking to replicate or adapt Amman's approach in similar urban contexts.

Abstract

The idea of smart cities (SCs) has gained substantial attention in recent years. The SC paradigm aims to improve citizens' quality of life and protect the city's environment. As we enter the age of next-generation SCs, it is important to explore all relevant aspects of the SC paradigm. In recent years, the advancement of Information and Communication Technologies (ICT) has produced a trend of supporting daily objects with smartness, targeting to make human life easier and more comfortable. The paradigm of SCs appears as a response to the purpose of building the city of the future with advanced features. SCs still face many challenges in their implementation, but increasingly more studies regarding SCs are implemented. Nowadays, different cities are employing SC features to enhance services or the residents quality of life. This work provides readers with useful and important information about Amman Smart City.
Paper Structure (3 sections, 4 figures, 6 tables)

This paper contains 3 sections, 4 figures, 6 tables.

Figures (4)

  • Figure 1: Main topics related to Amman Smart City.
  • Figure 2: Amman smart city challenges.
  • Figure 3: Smart cities research opportunities.
  • Figure :