Location Intelligence role in Smart Cities
Modern cities are being controlled by location Intelligence technology. Location Intelligence’s future is a bright lot of Apps and technologies used it.
Location intelligence has gained a lot of importance in recent times, especially since most businesses will use the power of this technology. Location intelligence is built on the Geographic Information System (GIS) tools, and its definition goes beyond geographic information or analysis of geographic information.
Location intelligence has the ability to understand local data to identify and analyze relationships and trends.
The production of location intelligence is a practical insight that helps both the public and private sectors to detect specimen and make strategic decisions.
Location intelligence comes from a combination of different sources. This includes GPS systems, Internet of Things (IoT) data, environmental and consumer resources, and more. This technology is not in the form of a special tool, but the ability to use geographic data to generate business insights. As location intelligence technology continues to grow in popularity, as its uses have grown, so has its impact on global technological advancement.
Location Intelligence Use Cases
Before we move on to the implications of location intelligence on smart cities, it’s important to take a step back and see how much impact this technology has had so far.
Location Intelligence Growing Smart Cities
The IESE Citizens in Motion Index (CIMI) uses nine dimensions to measure the growth of smart cities: human capital, economy, social cohesion, environment, governance, urban planning, international access, transportation, and Movement and transportation.
The 2019 Index (from the University of Navarra Business School) ranked 165 cities in 80 countries, making London, New York, and Amsterdam the brightest cities in terms of intelligence based on these standards. Location intelligence plays an important role in one of these nine dimensions, namely the four most important parts of any smart city.
Environment
Location intelligence can help in two areas related to the environment. First, natural disasters occur in major cities around the world, with devastating consequences. From filing damage reports to communication lines, location intelligence can help cities manage faster.
Second, location intelligence technology can help city planners better understand the city, how to plan conservation projects, and how to build green belts around the city. The technology can also analyze air quality and measure the environmental impact of a project during and after construction.
Urban Planning
Location intelligence is essential for 3D intelligence planning, which has become an important part of urban development. From the construction experiment phase, this technology helps ensure that city planning will improve the lives of city dwellers and can also help to detect and measure operational costs.
Technology
Technology manages every aspect of the smart city. According to IESE, (media iese.edu research, University of Novara) technology, “is an aspect of society that improves the current quality of life, and its development or spread is an indication of achieving quality of life or potential.
Besides, technological advancement is an aspect that enables cities to be sustainable over time and to maintain or increase the competitive advantage of their production systems and quality of employment. Location intelligence clearly supports this effort, as both citizens and cities can use this technology to improve the functioning of the smart city.
Mobility and Transport
Transportation is changing using smart city locations and mobile data from around the world to improve traffic and congestion and travel. City planners use location data to determine where traffic is greatest, where, and why. Using this information, they can solve these transportation problems with new construction or more transportation methods.
Challenges: Privacy and Security.
Data collection is permanent. From ride-sharing apps to food delivery services, consumers are constantly providing location-based data. While this has the advantage of maximizing customization services, the challenge is that consumers are more aware and concerned about how their data is used.
Not just consumer awareness increased, but restrictions such as GDPR have forced companies to be more transparent in collecting personal data. Furthermore, as technology advances, hackers intend to infiltrate these systems. Security concerns are widespread throughout the industry, and violations yield better results.
Towards privacy, more consumer awareness can help improve location intelligence. Consumers controlling their data mean that smart cities can rely more on third-party data, rather than aggregate third-party individuals who can’t provide more accurate data.
In terms of security, this challenge will always be present and it will take a combination of companies that provide more transparent data usage measures to individuals and companies protecting their personal data to address this challenge.
However, efforts will be made to continuously improve location intelligence which will help in the better formation of cities.
