The Sociedad Municipal de Aparcamientos de Las Palmas de Gran Canaria (SAGULPA) is a sustainable public transport company founded in 1993 by the City Council (Ayuntamiento de Las Palmas de Gran Canaria). Established to solve the shortage of parking spaces and reduce the intensity of traffic in the city, the company has gone on to take a proactive role in the fight against excessive energy consumption and emissions, and has launched many different projects to promote electric mobility including the governance of the city’s public bicycle service, Sítycleta.
With multiple location data sources at their fingertips, SAGULPA wanted to organize all this information on a single platform to allow for better understanding and optimization of their mobility resources.
In order to build the platform, a collaboration was formed between CARTO, Vodafone, Sítycleta, Ayuntamiento de Las Palmas de Gran Canaria, SAGULPA, and Guaguas.
The platform is able to process a large amount of data with the municipal buses (Guaguas) moving on average between 135,000 and 140,000 passengers during weekdays, 1,000 daily uses of Sítycleta, and the parking spaces averaging 28,000 uses every day.
All data gathered is stored in a flexible platform that can display data in a dynamic, visual, interactive, and map-based interface, where the data can be filtered by layers to perform more detailed analysis. In this way, it will be possible to answer questions such as which areas have a greater number of journeys, how they are distributed, and understand the profile of the traveler including their age and gender.
The most innovative cities choose CARTO to ensure they accelerate their Open & Big Data initiatives and start to solve some of their most pressing social and environmental challenges.
By using our platform to analyze commuter patterns through origin-destination matrices & spatial models, cities can provide the right services to the people who need it most. Enriching first party data with external datasets also allows for deeper insights especially when using data catalogs such as our Data Observatory that offer a wide range of curated datasets on standardized spatial aggregations.
To discover more read our full blog post.