Smart city community governance system based on online and offline aggregation services

Area of Science:

• Urban Planning
• Public Administration
• Community Development

Background:

• Traditional community governance models face challenges in public trust and service quality.
• Existing models struggle with stakeholder collaboration and adapting to disruptions.
• Smart city initiatives offer new opportunities for integrated service delivery.

Purpose of the Study:

• To explore innovative community governance strategies using online and offline aggregation services in a smart city context.
• To define and evaluate a community governance model focused on self-organization, adaptation, and resilience.
• To assess the impact of this new model on urban construction and citizen well-being.

Main Methods:

• Development of a benefit evaluation method for online and offline community governance systems.
• Case study analysis of a county implementing the integrated governance model.
• Comparative analysis of economic and social indicators before and after model implementation.

Main Results:

• The online and offline aggregate service model increased the city's GDP by 12%, surpassing previous modes by 3.6%.
• Significant public distrust was noted in previous models regarding management fees and service quality.
• The new model demonstrated effectiveness in enhancing economic performance and citizen satisfaction.

Conclusions:

• The integrated online and offline community governance model is a viable strategy for smart city development.
• This approach fosters community resilience, economic growth, and democratic progress.
• The model positively impacts urban construction and improves the overall happiness index of citizens.