Vol 4, No 2 (2019)

The Role of Big Data Analytics in Transportation Planning and Infrastructure Development: A Data-Driven Approach to Enha

Authors: Dr. Meenakshi Rao, Aniket Deshmukh

Abstract: Big Data Analytics is transforming how modern transportation systems are conceived, managed, and developed. In the age of rapid urbanization and increasing transportation demand, the integration of data analytics offers a powerful means to optimize planning, reduce congestion, predict travel behavior, and improve infrastructure investment decisions. This paper explores the vital role Big Data Analytics plays in the planning and development of transportation infrastructure. It outlines how data from various sources—such as GPS, mobile applications, traffic sensors, and social media—can be collected, processed, and utilized to support real-time and long-term decision-making. The study also delves into the challenges of data privacy, quality, and integration, while highlighting opportunities for smarter, more sustainable transport ecosystems. The future of transportation lies in data-driven planning, and this paper advocates for its essential adoption by urban planners, policymakers, and engineers alike.

Keywords: Big Data Analytics, Transportation Planning, Infrastructure Development, Smart Mobility, Urban Transport Systems

 

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