How Smart Cities can be Smarter using Location Intelligence | Data Sutram

How Smart Cities can be Smarter using Location Intelligence

Location Intelligence
Data Sutram

Data Sutram

December 22, 2020

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The Ministry of Urban Development, Government of India has launched the “Smart City Mission” in 2015. This initiative was aimed to build the selected cities more equipped and advanced in terms of facilities, sustainability, and citizen friendliness. The progress and final outcomes of the initiative are still an open question for discussion but what if we are able to see the potential of the cities in advance?

 

Sounds interesting right?

It’s not magic, it’s just a use case of location intelligence!

Let’s see how it works.

Every object on Earth is assigned a location in terms of the surrounded area. Location-based intelligence platforms (like Khoj.ai) takes this location as input and monitors how this object is interacting with other objects in the nearby location. The output of these platforms are actionable insights based on the data and facilitates both the public and private sector to detect patterns and helps in the overall decision-making processes. For smart-cities to be really efficient and sustainable, these real-time location-based strategies have to be implemented and monitored. Hence the cycle goes on and on.

Some of the use cases of Location-Based Intelligence in developing smart cities are as follows:

Banking and Financial Insurance Services

Location-based intelligence platforms will be able to get insights into the demographics of a particular location to analyze customer profiles in terms of income class, lifestyle, etc. to optimize targets and reduce frauds. This becomes one of the significant factors in improvising the quality of societies.

Classification of Localities based on Income Group
Classification of Localities based on Surroundings

It will also be able to get how vulnerable the location is to natural calamities and the range of insurance needing in that particular region for the same.

Business Development Scope

One major component of a smart city is the facilities and scope of a business within it. Khoj.ai is able to locate all the nearby landmarks classifying which area/city will be most feasible and business-friendly to open a new venture.

Hyperlocal targeting & Customer Acquisition based on the location profile

It will also help in the Sales Prediction by tracking changes in demand and population characteristics of a particular area within the Smart City.

Disaster Management

Based on the surroundings and history of a location, Location intelligence will be able to locate where more resources, conservation projects are needed within a city.

Pinpointing untapped demand clusters across operational area

Mobility and Transportation

Transportation systems and mobility can be efficiently managed by tracking the population at a particular place at a particular time and traffic patterns. These data will then be used to optimize travels, finding potential places to launch a new venture, or for new construction plans.

Route optimization for enhancing mobility and transportation

Some other advanced applications of location intelligence include crime prevention by tracking the activities, urban planning, advanced parking management system, and many more. These functionalities are making smart cities smarter and better equipped by improving the quality of life.

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