This chapter highlights the significance of assessing smart cities from a citizen's perspective to foster a society where residents experience happiness. It is crucial to measure quality of life (QoL) and satisfaction with the everyday activities of residents for this kind of assessment. The proposed metrics, ActiveQoL, is designed to measure subjective satisfaction in daily activities including sleep, work, meals, and leisure. ActiveQoL considers four key factors: a fondness for the activity, time spent on the activity, the conditions under which the activity is performed, and the presence of others during the activity. The chapter outlines how ActiveQoL will be implemented using wearable sensors and smartphones to automatically estimate activity and situational factors. Additionally, it discusses the use of surveys and data collection methods to obtain meaningful data. ActiveQoL enables the evaluation of urban programs by measuring individual QoL and aggregating the data across the population. The article provides examples of ActiveQoL’s application in evaluating exercise and sports activities, as well as programs aimed at elderly individuals. These examples highlight the benefits of incorporating ActiveQoL into urban and policy evaluations, such as quantifying the impact of soft and hard programs and tailoring evaluations to specific target groups. The chapter concludes by emphasizing the importance of having a clear vision for the city and conducting objective evaluations to create a happy and distinctive community.

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Smart City QoL-Based Assessment

  • Kei Suzuki,
  • Mitsuharu Tai,
  • Tomoyo Sasao

摘要

This chapter highlights the significance of assessing smart cities from a citizen's perspective to foster a society where residents experience happiness. It is crucial to measure quality of life (QoL) and satisfaction with the everyday activities of residents for this kind of assessment. The proposed metrics, ActiveQoL, is designed to measure subjective satisfaction in daily activities including sleep, work, meals, and leisure. ActiveQoL considers four key factors: a fondness for the activity, time spent on the activity, the conditions under which the activity is performed, and the presence of others during the activity. The chapter outlines how ActiveQoL will be implemented using wearable sensors and smartphones to automatically estimate activity and situational factors. Additionally, it discusses the use of surveys and data collection methods to obtain meaningful data. ActiveQoL enables the evaluation of urban programs by measuring individual QoL and aggregating the data across the population. The article provides examples of ActiveQoL’s application in evaluating exercise and sports activities, as well as programs aimed at elderly individuals. These examples highlight the benefits of incorporating ActiveQoL into urban and policy evaluations, such as quantifying the impact of soft and hard programs and tailoring evaluations to specific target groups. The chapter concludes by emphasizing the importance of having a clear vision for the city and conducting objective evaluations to create a happy and distinctive community.