Optimizing City Services through Data-Driven Dynamic Urban Communication: A Communication Efficiency Test

Abstract

The purpose of this research is to examine how data-driven dynamic urban communication affects the effectiveness and optimization of vital municipal services in a variety of contexts. Interestingly, waste management IoT sensors have an efficiency score of 9, which is remarkable and indicates the promise of data-driven approaches in this industry. An impressive 4.3 user satisfaction rating highlights how well these technologies are received. Additionally, data-driven communication techniques provide affordable options, as seen by their $2.5 service request cost, which highlights the possibility of more efficient resource allocation. This study offers strong proof that data-driven communication benefits both municipal service providers and people by increasing service consumption and lowering response times to around 5.2 minutes.

Keywords

• iot sensors
• efficiency
• data-driven communication
• urban services
• optimization