2024 Urban Bliss Index

The dataset, titled "City Happiness Index," curated exclusively by Emirhan BULUT, encompasses a comprehensive analysis of key features and metrics from diverse global cities. Focused on factors influencing overall happiness, the dataset aims to unravel insights into urban living conditions and populace satisfaction.

Featuring vital attributes, including city name, recording month and year, decibel levels indicating auditory comfort, traffic density categorization, green space percentage, air quality index, happiness score, cost of living index, and healthcare index, this dataset facilitates a nuanced exploration of urban well-being.

The dataset lays the foundation for a sophisticated Deep Q-Network model known as PIYAAI_2. Leveraging Reinforcement Learning, this model continually refines its predictive capabilities by learning from the dataset. The PIYAAI_2 model holds promise in offering accurate predictions for future scenarios, evolving over time as it assimilates new data and adapts to dynamic environmental changes. By employing this dataset, researchers and policymakers gain valuable insights into the intricate interplay between urban factors and the subjective well-being of city populations, fostering a deeper understanding of the elements shaping urban happiness.