– city discovery and accessibility
Original Titel: Pretty Streets - city discovery and accessibility
Category: Go Green
Project team: Thomas Kgaevski, Célia Mercier, Benoît Germond, Fabrice Gibelin,
Pretty Streets is for everyone who likes to walk about discovering new and beautiful places, whether new arrivals in an unknown city or curious people discovering their own town. For the first time, itineraries are not mapped to be short, but to be beautiful, and address both avid walkers and those with reduced mobility. Unequalled today, Pretty Streets offers a service to help both tourists and residents. A time and interest-based itinerary calculator makes it possible to get from point A to point B taking not necessarily the fastest, but the most interesting route or to create a loop itinerary, taking the user on a walk through must-see places nearby, depending on the time available. Itineraries can be adapted to wheelchair requirements, taking into account obstacles on sidewalks or slopes. A map of the loveliest places is generated from public domain POIs or geo-located photo APIs, topped up with user-generated content. It’s as if a good friend has highlighted a map showing where it’s worth going. The first six cities are available; a new one is being added weekly. Pretty Streets aims to be for all leisure itineraries what google maps, apple plan, or citymapper are for traditional A to B utility transport, a world leader in leisure itineraries and cartography, with an aesthetic twist.
“The Jury thought this was a simple yet elegant application. We really liked the way the app could be visualised in a number of cities with more being added by the week. When judged against other applications, this particular submission stood out as a celebration of all things beautiful in the cities we visit and also those which we are perhaps over familiar with. A neat premise which can be easily envisaged and applied. We could all see ourselves taking a walk with pretty streets in the near future.” – EYA Grand Jury Report
Please note that all data refer to the time of winning the Award.