This chapter delves into the evolving paradigms and practices of urban crowdsensing, a transformative approach that leverages the collective power of citizens and their connected devices to gather and analyze data about urban environments. As cities worldwide grapple with the challenges of rapid urbanization, resource constraints, and environmental sustainability, urban crowdsensing has emerged as a critical tool for enabling data-driven decision-making and fostering participatory governance. This chapter provides a comprehensive exploration of the theoretical foundations, practical applications, and future directions of urban crowdsensing, drawing on interdisciplinary insights from urban informatics, data science, and social sciences. These paradigms are not mutually exclusive but rather complementary, offering a holistic framework for understanding the potential and limitations of urban crowdsensing. The chapter then examines the diverse practices of urban crowdsensing across various domains, including transportation, environmental monitoring, public health, and disaster management. Case studies from cities such as Barcelona, Singapore, and New York illustrate how crowdsensing has been successfully implemented to address urban challenges. For instance, mobile applications and wearable devices have been used to monitor air quality, while participatory platforms have enabled citizens to report infrastructure issues in real time. The chapter also discusses the challenges associated with these practices, such as ensuring data accuracy, protecting user privacy, and addressing digital divides. Furthermore, the chapter highlights the importance of ethical considerations, regulatory frameworks, and inclusive design in shaping the future of urban crowdsensing. It calls for interdisciplinary collaboration among researchers, policymakers, and urban planners to develop scalable, adaptable, and socially responsible crowdsensing systems. In conclusion, this chapter underscores the transformative potential of urban crowdsensing in creating smarter, more resilient, and inclusive cities. By integrating technological advancements with human-centered approaches, urban crowdsensing can empower citizens, enhance urban governance, and contribute to sustainable urban development.

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Paradigms and Practices of Urban Crowdsensing: A Comprehensive Exploration in Urban Informatics

  • Reza Farhadi,
  • Hossein Mansourian,
  • Mana Dastoum,
  • Parsa Ahmadi Dehrashid,
  • Raziyeh Askarzade Torghabeh,
  • Fatemeh Minabian,
  • Amir Rahsaz

摘要

This chapter delves into the evolving paradigms and practices of urban crowdsensing, a transformative approach that leverages the collective power of citizens and their connected devices to gather and analyze data about urban environments. As cities worldwide grapple with the challenges of rapid urbanization, resource constraints, and environmental sustainability, urban crowdsensing has emerged as a critical tool for enabling data-driven decision-making and fostering participatory governance. This chapter provides a comprehensive exploration of the theoretical foundations, practical applications, and future directions of urban crowdsensing, drawing on interdisciplinary insights from urban informatics, data science, and social sciences. These paradigms are not mutually exclusive but rather complementary, offering a holistic framework for understanding the potential and limitations of urban crowdsensing. The chapter then examines the diverse practices of urban crowdsensing across various domains, including transportation, environmental monitoring, public health, and disaster management. Case studies from cities such as Barcelona, Singapore, and New York illustrate how crowdsensing has been successfully implemented to address urban challenges. For instance, mobile applications and wearable devices have been used to monitor air quality, while participatory platforms have enabled citizens to report infrastructure issues in real time. The chapter also discusses the challenges associated with these practices, such as ensuring data accuracy, protecting user privacy, and addressing digital divides. Furthermore, the chapter highlights the importance of ethical considerations, regulatory frameworks, and inclusive design in shaping the future of urban crowdsensing. It calls for interdisciplinary collaboration among researchers, policymakers, and urban planners to develop scalable, adaptable, and socially responsible crowdsensing systems. In conclusion, this chapter underscores the transformative potential of urban crowdsensing in creating smarter, more resilient, and inclusive cities. By integrating technological advancements with human-centered approaches, urban crowdsensing can empower citizens, enhance urban governance, and contribute to sustainable urban development.