Among many different elements, Big Data is one of the essential parts in building future smart cities. The smart city comprises application of many recent and future technologies. Big Data Analytics is a way of data sorting where the size of data concerns Terabyte or petabytes. What will we get in the future smart cities is still unpredicted. But we know how important Big Data is to build it.

Security:

Big Data has already proved its importance in various cities like London, LA, Chicago, etc. Here Historical and geographical Big Data is used to predict the places where the crimes are most likely to take place. The police patrolling in those areas have been increased at certain times. This step has resulted into a huge downfall in crimes. It has made the cities safer than ever.

City Planning:

The importance of city planning has increased over the years with the increase in population. Cities built in the 19th or 20th century were not planned properly because of lack of technology. Today, we face huge problems because of those unplanned old buildings. But with the help of Big Data and advanced analytic techniques we can map the infrastructure of the city with the high level of accuracy.

Transport:

Big Data analytics can be a huge help at the time when the city is facing the high level of human traffic. When the population in a city increase exponentially in a concise time, public transport management becomes quite difficult. That is where we apply Big Data analytics to predict the human traffic in specific routes and change the timetable accordingly.

Future proofing:

Today in developing countries like India cites are expanding. We find buildings at the places where once used to be jungles. Using future predictions and Big Data the planners can exactly figure out what types of businesses can grow in that particular area so that they can upgrade the amenities accordingly.

Web provision:

This is something opposite of “Net neutrality.” With the help of Big Data, we can exactly know where the usage of the Internet is greater compared to other areas. Using this data, we can allocate the different amount of bandwidth to different areas. Areas like Wall Street consumes more data so it will get more bandwidth compared to the person living in a countryside.

Sustainability:

Today, even the most high-tech industries cause pollution. It can pollute the air, water, and earth to a great extent. Using Big Data we can predict the level of output factories are taking out and the level which is the threshold. We can now control the output of industries and increase the sustainability of the environment.

Effective spending:

The expenditure of building smart cities is taken for the taxes public pay. This expenditure needs to be analyzed so that government can spend it wisely. Big Data can help us predict the exact need of city. Such as the buildings in need of a restoration or the road that needs to be redesigned because of the recent development in residency in that area, etc.