As the world changes, so do our priorities. We are now needing to place human needs before technical needs when designing urban areas for the future. Sustainability is at the heart of these considerations as we look to include green spaces, utilize big data effectively, and introduce efficient travel. Technology is central to these ideas, particularly for the use of big data in smart cities.

In today’s society, governments and leaders are given a plethora of insights and data that improve how we live. Gathering such rich and useful information about built-up areas like cities is not only efficient and relatively quick but can work towards providing the best living conditions for residents as well as the environment and other species that inhabit it.

What are smart cities?

Smart cities are a relatively new concept that use technology to gather data and insights to improve services and solve problems. Cities only account for 2 percent of our planet’s total surface area. However, data from the UN reports that cities will house 68 percent of the global population by 2050. The need for cities that can safely house a high population creates challenges like mobility issues, traffic congestion, and pollution, among many more we already face in our everyday lives.

Smart cities can help solve societal challenges we are facing from an ever-increasing human population. City data provides an in-depth and accurate look into what we need without breaching earth’s ecological boundaries.

Successful smart cities

Amsterdam was one of the first smart cities, using data to ensure the city’s roads, housing, services, and quality of life continue to improve. The city manages all this while becoming more sustainable to avoid air pollution too.

Plus, the city is making use of a unique asset to gather data — its bridges. Amsterdam has more bridges than any other city in the world at 1,800 in total. These bridges can communicate information to other infrastructures in order to optimise travel — the MX3D bridge is equipped with sensors to visualize information about traffic on bridges, the neighborhood, environment, and its structural integrity. Maintenance will automatically be alerted when it needs work on it. It can even communicate with traffic lights to change timing to reduce congestion when it’s busy.

Efficient transport

Railways have always been key spaces within cities and maintain connectivity between neighborhoods. Trains are the optimum mode of transport in busy cities and will continue to be in the future — for example, transport in London would be near enough impossible without the intricate underground and overground train system. With a population expected to reach around 10 billion by 2050, smart rail systems will be needed more than ever to evolve with the rapidly growing urbanization

In today’s world, smart trains use data for passenger information systems to inform on live news, connecting information, time tables, as well as real-time data to inform engineers of predictive maintenance to keep services running smoothly and regulate trains. Machine-to-machine communication with input from the cloud enables passengers to seek the fastest route and find out which trains are the busiest, keeping footfall smooth and reducing congestion in built-up areas.

Dubai’s new ways of travel

Dubai’s pollution is hitting high levels, risking vulnerable groups like young children, older people, pregnant mothers, and the ill. This is contributed to by the high number of personal vehicles emitting noxious pollution as well as heavy-duty vehicles.

Last year, Dubai engineered an entirely new transport system to the city, named Sky Pods.

These will travel alongside the Dubai Metro, transporting two to five people around set routes to meet their mobility targets.

Mattar Mohammed Al Tayer, the director-general and chairman of the RTA, commented: “The signing of the agreement is part of RTA’s efforts to deploy autonomous transit means in line with the Dubai Self-Driving Transport Strategy aimed at diverting 25 percent of total mobility journeys in Dubai to autonomous transit means by 2030.”

Similarly, the city is looking for ways to cut down rush hour for commuters. The new Virgin Hyperloop took its first travelers in November last year and can travel between Dubai and Abu Dhabi in 12 minutes, transporting 10,000 passengers each hour both ways.

Integrating green spaces

Recent research suggests that while we should integrate technological features into our cities, a lot of focus needs to be shifted towards environmental sustainability.

Smart cities are also being designed for public health and well-being. Satellites can identify how much greenery exists in a city and areas to improve. This can enhance air quality and support ecosystems as well as offer pedestrians places to wind down and relax in nature. Smart parks can ensure lawns and plants are watered in response to weather changes, making plant maintenance an automated process.

These considerations are becoming increasingly important. For example, in the UK, 54,000 acres of green space were turned into artificial surfaces between 2006 and 2012, which is equivalent to an area twice as large as the city of Liverpool.

The technology involved in smart cities can not only help transportation and efficiency but improve the quality of life and emotional well-being of those who live among it.

The post Big data, big city transformations: Transport and well-being appeared first on Artificial Intelligence.

Thanks to the media, more people now know that you have to protect your personal data from being misused for commercial gains. Many of you are probably more conscious of what to share on Facebook or Instagram than you were two to three years ago. But, when used appropriately, data can be a great resource that informs urban management and planning.

For example, the RailSmart Platform, a Smart Cities 2019 award winnerlast Thursday, integrates numerous sets of data from the Australian Bureau of Statistics and other data sets such as the public transport ticketing system to work out how the city of Perth functions and how people move around.

Typically, people want to know what areas they can afford that best suit their work and travel requirements. You can use this platform to find out about house prices by location, travel times, locations of strategic jobs and how to get to them.

When you look up the locations of businesses you can see which train stations or major bus stops provide easy access to jobs. If you know the types of jobs, then you will also know whether those jobs are strategic jobs – jobs that create and attract other jobs. If you also look at real estate data, you can then find out the property values and rental prices of nearby properties.

To create this platform, we analysed the big data for Perth and visually represented what we found. To make this information accessible, we created a user-friendly digital mapping interface to display the modelled data.

So what sort of data are we talking about?

Property values

House prices are one of the key economic indicators that people often pay attention to. Average house prices in Australian capital cities are easy to find, but what about more location-specific prices? You may be renting at the moment and thinking of moving elsewhere, or you may be a prospective property buyer.

Using real estate data, we have mapped the values of properties in different locations. For example, we can show you the number of different types of properties sold (e.g. house, unit, land and other types) and the average sale price of those properties. We can also show the rental values of different locations.

Access to where people live

Ever wondered how good (or bad) your local road network is? How about your local public transport? The app can help you with this too.

Using the road network, the public transport network and the timetable data, we have mapped how accessible train stations and major bus stops are to houses, units and apartments. Based on prior research, the tool maps and models real-time analysis of accessibility to people, houses or jobs.

For example, we can show the locations you can get to from a specific train station using your own car or public transport on a map. Our data show that 66% of all dwellings in Perth can be accessed within 60 minutes using a private vehicle from Perth station.

Locations of ‘strategic’ jobs

Strategic jobs include jobs in IT and in academia. For planning purposes, you want to have more strategic jobs that will attract and create more employment.

We can show where strategic jobs are located on a map. In other words, we can show you the locations where you can expect to see more jobs concentrated and created.

Looking at two maps, the access to jobs and the strategic job locations, we can see that only limited strategic jobs can be accessed from Joondalup station.

The power of data

Some of you may be wondering how and where we got all these data. Is the dystopian world created by George Orwell in his fictional work Nineteen Eighty-Four coming true, with “Big Brother” watching your every move?

Fear not. The RailSmart analysis does not use any personalised data and all the data sets we used can be freely accessed by anyone.

The platform relies on aggregated data. This means it uses groupings of data or user types – for example, students, or geographic areas such as suburbs. It is impossible to tell what an individual is doing or even the sale price of individual properties; the platform represents trends as patterns of users and areas.

The post How big data can help residents find transport, jobs and homes that work for them appeared first on Artificial Intelligence.