Big Data Management for Sustainable Transportation

Sustainable transportation is a critical component of global efforts to address climate change and promote sustainable development. In addition to environmental concerns, the transportation sector also faces challenges related to safety and efficiency. According to the World Health Organization, approximately 1.35 million people die each year due to road traffic accidents (World Health Organization, 2021). Additionally, transportation systems are often plagued by congestion and inefficiencies, leading to wasted time and resources. By utilizing big data analytics, transportation organizations can address these challenges by optimizing transportation systems, reducing congestion, and enhancing public transportation systems. The use of big data management in transportation has grown in recent years due to the exponential growth in data generated by transportation systems. According to a report by McKinsey Company, the global transportation sector generates over 10 petabytes of data per year, with this figure projected to grow rapidly in the coming years. This data includes information on traffic patterns, energy consumption, and emissions, among other things. By utilizing big data analytics, transportation organizations can gain insights into this data, leading to enhanced decision-making, improved efficiency, and reduced environmental impact. Thus, big data management has the potential to transform the transportation industry by addressing challenges related to sustainability, safety, and efficiency. By providing insights into transportation patterns, energy consumption, and emissions, transportation organizations can enhance decision-making and reduce their environmental impact. However, there are also several challenges that must be addressed to implement big data management solutions successfully. By addressing these challenges, transportation organizations can ensure that transportation remains a vital and sustainable component of modern society.