Urban Development Trends and A Data-driven Analysis: How Do They Relate?
Urban construction development across GCC countries has become the most valuable project in the construction industry. Speaking of urban development trends, smart cities are considered the best way to mitigate the everyday problems of urban countries, like the UAE, Saudi Arabia, Qatar, Oman, Bahrain and Kuwait. And here is where a data-driven analysis comes in being a vital part of smart city design trends during urban construction.
Do you wonder how these two- urban development trends and a data-driven urban development analysis on the GCC construction industry relate? Let us tell you.
What is a Data-driven Analysis?
Whether you need to manage the infrastructure of urban construction and development cost-effectively, design urban cities as carbon-neutral or develop urban transportation, a data-driven urban construction analysis plays a vital role.
While planning urban development, data-driven analysis utilises raw data using construction intelligence data analysis tools to get relevant information regarding the latest urban development trends and insights. Using this information, you can make informed decisions, apply it in business processing and present it visually within your team and even with the external stakeholders.
Impact of Data-driven Analysis on Urban Development Trends
In the GCC countries, more people have relocated to urban areas in the past few years. So, no wonder the stress on housing, public transportation and community facilities has increased as well. Yet, the GCC construction industry has faced challenges in designing cities for urban construction and development projects.
And here is where the importance of urban development data-driven analysis lies in creating smarter and safer cities following urban development trends. See how:
#1: Create more efficient cities-
With the advancement of technology, you can draw vast data to have a clear picture of the lifestyle of smart cities, from transportation to other facilities. On the contrary, you can execute the designs to accurately represent the urban development plans in the real world using predictive data-driven analysis of the current GCC construction industry leveraging a construction intelligence data analysis tool. The data will help you plan infrastructure correctly while reducing traffic to ensure more convenient travel for commuters.
#2: Better communication between the urban planners and inhabitants-
A good urban planner always aims to provide a better lifestyle for the inhabitants in urban areas like GCC countries. While on the same page, you need to understand the challenges the people living there face before jumping into urban construction development trends, like designing smart cities. A thorough data-driven analysis can improve engagement between the planners and the inhabitants by providing more details about their common problems and requirements, like public transportation and waste disposal.
#3: Access to better resource management-
While planning urban development projects in GCC countries, the best way to ensure it grows successfully is to have properly managed resources. Data-driven analysis can help you collect details about using the resources of the respective city and the urban areas not receiving the allocation. Also, you can gather geospatial data, crowdsource and address pollution for better city planning.
In a Nutshell
Data-driven analysis plays a great role in urban development trends to design smarter, greener and safer cities. And if you are interested in utilising a construction intelligence data analysis tool to access the latest insights into the construction industry across GCC countries, come to our portal platform- PROJECT INTEL. It offers a detailed urban construction analysis of the residential and commercial construction industry using an intelligence data analytic tool. We track the latest urban development projects and analyse them, including providing leading consultants and contractors and breakdowns by development across all sectors.
To request a FREE trial, click here.