MK Health Map

mkhealthmapThe MK Health Map is an application to visualise and explore health statistics in Milton Keynes. It shows a map where the different areas of Milton Keynes (LSOAs) are coloured based on map indicators. By default, it shows the percentage of people in bad health and very bad health in the area, but this can be changed to show other indicators instead. It also shows the location of GP surgeries in Milton Keynes.

MK Insight

MK Insight is a (beta) portal used by Milton Keynes Council to share data with the wider public. It relies on the MK Data Hub to enable users to find “data posts” and visualise the data they contain through simple charts and tables. The charting facility allows to create customised data pages, including charts and visualisation from a wide range of data, as demonstrated in the example video.

Ground Resistance

The idea of this installation was to show how a city (Milton Keynes) looks through the data it generates, and to reflect on the concept, ideas and potential pitfalls of the increasing move towards smart cities. This relied on data from the MK Data Hub to create a visual and sonic experience for residents of Milton Keynes to be able perceive the usually invisible aspects of the city’s infrastructure (including the energy and water distribution networks). As a sustainable element of this initiative, the Ground Resistance website enables exploring more of these data, and the divide that exists in terms of data provision for different areas of the city.

Top MK

topmkTop MK is a virtual card playing game where each card represents a ward in Milton Keynes, with characteristics such as area, population, level of qualifications, etc. Two players, one human and the other automatic, try to win the other’s cards by choosing the characteristic that has the best chance to win against the other card. Besides being fun, Top MK is a way to introduce elements of manipulating city data in a playful way: Understanding the different areas, thinking about the distribution of values for the different characteristics, etc. It also demonstrates how the MK Data Hub helps in building interesting applications with very little resource.

Water Monitor

Water Monitor is a website (currently in development) that helps Milton Keynes citizens to understand their domestic water usage and provides advice on how to reduce water consumption. By registering to use Water Monitor, MK citizens will be able to log on and view their household’s water use data. It is run from a the MK Data Hub to provide consumers with information on their water use. Milton Keynes is in one of the driest regions of the UK, which makes it all the more important to manage its water resources sustainably.

Garden Monitor

The Garden Monitor is a mobile application currently in development to support efficient water management for domestic gardens.  It generates a customized calendar advising users on whether and when they may need to water their garden. It uses a machine learning model which adapts to individual gardens and does not require any user input. The current prototype integrates data from multiple sources, extracts from them a number of features and uses multiple linear regression to forecast the garden soil moisture over the following 15 days. The preliminary results show a very good degree of agreement between the actual and forecast soil moisture.

Pred-cident – Accident heatmap in MK

Pred-Cident uses historical data about accident reports and their location to build a heat-map of where accidents happen in Milton Keynes. This can be used to check where are the possible dangerous spots on Milton Keynes’ roads, as well as to check how time affect not only the number of accidents, but also their location. For example, we can see that there are more accidents outside schools and offices on Friday afternoon, and close to the stadium on Saturday afternoon, when most football matches are on.

Incident alerting

Incident Alert sample screen shot The incident alerting application provides road operators, first-response agencies and road users with information about incidents on the road network. The app uses a combination of sensor data and social network data to provide increased awareness of the location, severity, and nature of incidents in real time. Potential incidents are detected by monitoring the speed data from the road sensors. These are shown on a map. Users can select a potential incident and then see related tweets on the map.

Journey-time prediction for vehicle transport

Journey Time predictions Screen ShotJourney-time prediction for vehicle transport (Jumpa) provides travel-time estimates for drivers in the East of England. Information is delivered via web interface and a smartphone application. Jumpa currently makes use of nine data sources from three different data providers on the Stride Project Information Hub. Estimated journey times can be requested at an arbitrary time in the future, and are based on a combination of real-time and historic data. The Jumpa application also provides information about road works, planned and unplanned events, highway signage and weather data along the requested route