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Let’s use Crowd Analytics to design cities that reflect how we really live!

Twitter: @nokianetworks

Governments, companies, professionals and the media continually propose changes to the built environment, which should be optimized for improving people’s living and efficient transportation choices. Here are fascinating insights on how advanced real-world data can improve the creation of inspirational cities in the future.

Cities have the potential to make a positive contribution to our quality of life. More of us are moving to them than before because they provide agglomeration benefits – more choice in education, type of work, access to amenities and pastimes.


Whether this geographic shift accelerates or not, the critical question is: How do we determine whether our quality of life is improving? Air quality, three waters-services (drinking water, wastewater and stormwater), accessibility and living costs are all measures by which we answer quality of life questions like:  Should I move to a certain location? What will my life be like here? Understanding how people, with different personal circumstances, skills, interests and underlying values interact with the built environment is a complex undertaking.

Governments, the media and experts are continually making proposed changes to the built environment, where the goal is to improve sustainable ecosystem planning. The technology available today can have an essential role in improving what the public sector can deliver,  particularly since the Civil Engineering sector provides, for example water sanitation with public funding. However, given some well-known problems, such as congestion and the cost of living, isn’t it important to know that the best use is being made of the available information for improving public infrastructure development and construction projects?

There’s a need for real-world people movement data to improve public transportation and the optimized planning of infrastructure

The best way to address these problems is to understand how people live day to day, while acting ethically and upholding people’s data privacy. This avoids creating categories of people that do not reflect the population accurately. For example, when congestion is treated as only being caused by commuters, while a significant proportion of residents travel for other purposes, an inaccurate category of people has been created.

Providing mobility is something that Nokia has been delivering for a long time, which means we have the capability to understand how people move, and in partnership with operators, we’re able to deliver traffic analytics to influencers and decision-makers using advanced data gathering.

I envision a city where all transportation options are available and responsibly provided for. Closely tied in is the concept of how our homes, workplaces, schools, shops, recreational facilities and communities of faith are spatially arranged. It is beautiful to see a city laid out in a way that quietly and graciously supports how you live. It matters to us in Nokia that you can get where you want to go in a cost-efficient and timely manner, because this affects your employment aspirations, educational ambitions and ability to have a home that enhances your physical and mental health. So how can we bring our cities and our lives together to achieve this optimized city planning?

Watch this video to see how Nokia Crowd Analytics can help you easily understand more about the accurate movement of customers:


New city performance metrics

A city’s performance can be measured with innovative new methods and technology. For example: Average time to travel to all destinations to fulfill your daily tasks, and aspirations? How many employment options you can reach within an acceptable time limit? How land use relates to air quality?

I classify these metrics as social indicators and transport reliability and suitability for people. Our principle in measuring these is not to rely on a sample group, but instead to measure real-world movement data for improving facilities for a city’s residents. Privacy means creating metrics that ensure anonymity but aggregate the crowd’s movements. With people’s real-world movement data, we can reduce uncertainty and create a holistic picture with intelligent decision-making.

Nokia is committed to increasing quality of life through meaningful metrics. Welcome to our new Nokia Crowd Analytics website.

Share your thoughts on this topic by replying below – or join the Twitter discussion with @nokianetworks using #analytics #dataservices #bigdata

Matthew Webster

About Matthew Webster

As a principle engineer in Nokia based in New Zealand, Matthew turned his passion for data into developing the future technology for optimizing transportation infrastructure and efficiency. In his free time he prefers to optimize his cardio-vascular stamina with marathon rounds of table tennis.

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