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

¹ Department of management and innovation, National Research University Moscow State University of Civil Engineering, 129337 Yaroslavskoe shosse, 26, Moscow, Russia
² Uttaranchal University, Dehradun 248007, India
³ Lovely Professional University Phagwara, Punjab, India
⁴ K R Mangalam University, Gurgaon, India
⁵ GD Goenka University, Sohna, Haryana, India
⁶ GRIET, Bachupally, Hyderabad, Telangana

^* Corresponding Email- hus1@list.ru

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.