Bicing Stations of the city of Barcelona (Mechanics and electrics)


    SIGTE de la Universitat de Girona

    The SIG i Teledetecció (SIGTE) de la Universitat de Girona service has produced a dynamic web map about the activity of the Bicing service in the working day 17th October 2017. The data used are from the dataset Bicing Stations of the city of Barcelona (Mechanics and electric) from the Open Data BCN portal.

    This application, programed in Python, stores in a PostGis database the number of bicycles picked up by the users in every station, minute by minute. This data, along with the temporal variable, is what is used to create the application and to show in an accelerated rate the activity in all the Bicing stations of the city. The source code is available in SIGTE’s GITHUB.

    More information in SIGTE’s blog.

    Source: Open Data BCN


  • Lluís Esquerda

    Also, Lluís Esquerda, a data extraction professional who we have already interviewed in the section Interviews, has used data published on Open Data BCN to produce the BarcelonaBicing status map. You can see the number of bikes available at each of the stations spread around the city in real time.

    Source: Open Data BCN

Accidents managed by the local police in the city of Barcelona


  • Didier Domínguez

    Didier Domínguez, mathematician and user of the Open Data BCN portal, has elaborated two interactive visualizations with data from 2016. The first one, with the dataset of Accidents managed by the local police in the city of Barcelonaa, represents, through a heat map, the number of accidents filtered by different concepts: grade of the people’s accident rate, vehicles involved, hour, day... The second one, with information from the dataset of Vehicles involved in accidents handled by the police in the city of Barcelona, allows consulting of the vehicles involved by brand, model and type, and by district, neighbourhood and street.

    Source: Open Data BCN


  • Iban Tarrés

    Iban Tarrés, a geographer and technician at GIS, has developed an interactive visualization consisting of a cumulative point map in which chronologically each of the interventions carried out by the body of agents of the Urban Guard of the city of Barcelona during the 2016. It gives information of the total, the day strip and the district in which the accidents that we visualize at that moment in the screen have occurred.

    Source: Open Data BCN

  • Up


  • Víctor León

    The geographer Víctor León, founder partner of GESTAMBIT, produced various visualizations using his CartoDB profile. We highlight the accumulative heat map, a dynamic map that draws the areas of the city with the most accidents.



    Source: Open Data BCN


  • Juanjo Vidal

    The geographer Juanjo Vidal has also produced a visual display of the portal data set from his CartoDB account. In this case, it is a dynamic, chronological map of the accidents handled by the Guàrdia Urbana in 2014.





    Source: Open Data BCN


  • Carlos Carrasco

    Another portal data visualization regular is Carlos Carrasco, a researcher at the Cities in Motion centre of the IESE Business School and a Eixos.cat partner. Carrasco has also made various portal visual displays, which he has in his Twitter profile and here we highlight the map showing the total number of accidents in 2014.

    Source: Open Data BCN


  • Diego Villuendas

    Diego Villuendas is yet another portal user who has produced a visual display of the data set using CartoDB technology (here is his profile). In his case, the map uses two layers that represent the accidents according to the time of day they occurred and the day of the week they took place.

    Source: Open Data BCN


  • TeamUNO

    The people of TeamUNO (you can follow them on their Twitter profile), which came out of the UB postgraduate course on Data Science and Big Data, have come up with the first visualization of the trend in accidents handled by the Guàrdia Urbana in Barcelona between 2010 and 2014. The one we highlight corresponds to the time spread, by day of the week and month, in 2014.

    Source: Open Data BCN