Geospatial Techniques for Sustainable Transportation Planning: Insights from Remote Sensing Applications in Andhra Pradesh, India

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Abstract

Transportation planning plays a pivotal role in fostering economic growth while ensuring sustainable development. This study explores the application of geospatial techniques, integrating remote sensing (RS) and Geographic Information Systems (GIS), to analyze and enhance transportation systems in Andhra Pradesh, India. High-resolution satellite imagery and GIS-based spatial analysis were employed to assess road network density, connectivity, and accessibility across urban and rural regions. The study utilized multi-temporal satellite data to identify critical areas requiring infrastructure improvement, highlighting disparities in connectivity and environmental impacts. Results indicate significant gaps in transportation access, particularly in rural areas, and emphasize the need for strategic expansion of road networks to support regional development. The analysis also identified key hotspots for congestion in urban areas such as Vijayawada and Visakhapatnam, which could benefit from optimized traffic flow patterns and alternate routes. Furthermore, the study demonstrated the potential of remote sensing in monitoring the environmental implications of transportation expansion, such as land-use changes and emissions hotspots. The findings underline the efficacy of integrating geospatial techniques for sustainable transportation planning, aiding policymakers in prioritizing infrastructure investments. This approach ensures equitable connectivity, reduces environmental degradation, and aligns with the sustainable development goals (SDGs). The study concludes with actionable recommendations for leveraging RS and GIS technologies to enhance transportation networks in Andhra Pradesh, fostering a balanced and inclusive growth trajectory.

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