• Sudhir Allam

This paper describes how big data is influencing urban development. The proliferation of big data technologies for collecting and analyzing large amounts of data presents unprecedented possibilities for effective urban planning. Therefore, this paper addresses big data in urban science and its urban development prospects. It highlights the current state of big data implementation via examples and demonstrates how urban cities, including those experiencing rapid development, may use big data to effectively address energy and transportation challenges. For many years, the problems of global climate change and development have been on the priorities of academic organizations, government agencies, and civil society organizations. Although the ramifications of environmental issues' transnational and global dimensions remain central to policymaking, administration, and governance, the growing focus is being paid to the necessity and reach of local intervention [1]. The subject has been described by local governments in terms of the so-called "triple bottom line," which defines sustainable growth as development that is socially, economically, and environmentally sustainable. The integration of social media, census data, sensors, and conventional data provides a fresh perspective for addressing contemporary urban issues holistically and inclusively. Nonetheless, the BOLD techniques are modern and have not been adapted to urban infrastructure [1]. The aim of this paper is to determine if BOLD approaches will assist in reconceptualizing urban infrastructure not just in terms of technological and organizational characteristics, but also in terms of social values.

Big Data, Urban science, urban development,

"An Exploratory Urban Analysis via Big Data Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.2988-2994, March-2021, Available :http://www.jetir.org/papers/JETIR2103385.pdf

"An Exploratory Urban Analysis via Big Data Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp2988-2994, March-2021, Available at : http://www.jetir.org/papers/JETIR2103385.pdf