GIS-Based Smart Mobility Solutions for Air and Noise Pollution Mitigation in Urban Transportation: A Review of Existing Approaches and Technologies

Urban transportation networks have an impact on sustainability and public health by making a substantial contribution to air and noise pollution. In order to solve these issues, this study investigates how Geographic Information Systems (GIS) might be used to optimize transportation. GIS-based strategies for mitigating emissions, easing traffic, and enhancing urban mobility are found in a review of thirty-one studies from SCOPUS, ScienceDirect, ProQuest, Google Scholar, and ResearchGate. Low-emission zones (LEZs), smart routing, GIS-driven traffic and pollution monitoring, and the integration of cycling and public transportation networks are some of the main conclusions. Cities may monitor air quality and modify traffic patterns by integrating real-time data, as demonstrated by London's LEZ strategy and Barcelona's air quality management. Optimized routing made possible by GIS reduces emissions and traffic, especially for emergency vehicles. The findings show that GIS technology play a major role in creating urban environments that are calmer and cleaner. Policymakers must make investments in smart mobility infrastructure, impose more stringent emissions regulations, and integrate GIS into urban design to optimize these impacts. In order to promote healthier, more sustainable cities, future research should concentrate on improving GIS models for long-term urban mobility optimization and real-time pollution prediction.