You can check out Predictions 1-5 here

Prediction 6: By 2018, 20% of public safety agencies will test cognitive computing to predict and prevent domestic, mental health, and addiction incidents, drastically reducing service requests.

Prediction 7: By 2019, 30% of urban consumers will use bots or intelligent assistants for multimodal route planning to manage cost, carbon impact, and other travel preferences.

Image source

Image source

When it comes to transportation services, a Mobility-as-a-Service (MaaS) approach has a lot of smart city potential to it and is definitely one trend we are keeping our eye on. MaaS stands for a shift in mobility, where a user buys in mobility, instead of investing in transport equipment. An essential change in MaaS is thinking about levels of service and combining classical forms of public transport, demand-based transport - including new emerging services and private vehicles. The combination of these modes of mobility will result in the evolution of a more integrated system.

A good example for this service is MaaS in Scotland and MaaS in Finland.

Integrated real-time information, however would require the sharing of real-time data and APIs to enable developers and businesses to easily integrate data into their applications. More on this here.

Image: Toyota ( Source )

Image: Toyota (Source)

Prediction 8: In 2017, 20% of cities will nudge transit behavior by limiting parking, promoting electric vehicles (EV) and car sharing, and investing in mobile payments, navigation, and violations tracking apps.

Current figures show that cars are sitting idle for around 95% of the day, and this is technology which could put them to use for far more of the time. However, a combination of shared data, battery power and self-driving technology will probably render conventional car park systems and structures pointless. By 2030 self-driving electric vehicles are likely to be commonplace.

Another aspect contributing to the change of transit behaviour is that self-driving cars won’t need parking spaces in cities – they’re likely to be rented rather than owned and will just head off and carry out their next journey after dropping passengers off. You can read more about this here.

Prediction 9: With 180 Million global LED street light conversions by 2019 and spending of $80 Billion, light infrastructure will become the key smart city platform for connected IoT devices.

Photo-voltaic smart street lighting system

Photo-voltaic smart street lighting system

This is a key trend both in terms of connected IoT devices as well as sustainability measures. 50% of all global electricity is used for lighting, but with initiatives like this companies and cities are taking light beyond illumination. Air quality monitoring and improvement is closely linked with smart city projects and initiatives and with intelligent lighting infrastructure projects. As it is simple to install an intelligent lamppost with various sensors and IoT devices embedded in it. Examples here include Amsterdam, Chicago Array of Things project, Santander.

Solar tree street furniture - photograph by  Ashley Bingham

Solar tree street furniture - photograph by Ashley Bingham

Other smart street furniture have also got a lot of potentials, from wifi hubs, to solar power charging stations, to dimming the lights in street furniture (e.g.  bus shelters, city light panels and billboards) to save energy, while maintaining maximum visibility for outdoor advertising posters. Smart street furniture can also aid people living with disabilities such as street furniture that adapts to the needs of everyone equipped with a series of digital tools that cause the immediate environment to morph and change as different users pass through, picking up on signals from the user's smartphone or a fob. Exciting times ahead!


Prediction 10: By 2019, to scale and survive, 1/3 of civic engagement app companies will merge with or be acquired by larger companies as part of a smart city platform offering

Check out Predictions 1-5 here>>>