LoTu_Cotidianeidad local y turismo. Método para la evaluación de correlaciones entre las características espaciales y las dinámicas urbanas
![](https://www.ehu.eus/documents/1555681/55000111/IK-22-001-Grijalba.jpg/5e2a1dc6-cf0f-cbca-024d-4abd40533735?t=1721800134187)
The main objective of this proposal is to create a systematic and exportable method at a municipal scale to study the dynamics of people in the city through new geolocalized data sources. A spatio-temporal approach to the real use of people in the city through the identification of stagnant spaces, landmarks and flows.
Methods for obtaining data with a spatio-temporal component are selected and defined and classified in a matrix grouping them by occupancy patterns (Google Places, Google Maps), dynamic consumption zones (banking data, mobile data), mobility (stops, transport nodes and routes); urban landmarks (Instagram); tourism (Flickr, Tripadvisor, Airbnb). The method is applied to the case study of Donostia-San Sebastian.
As a result, a sequential visualization of the different data sources representing the urban dynamics of the city of Donostia-San Sebastian is obtained. This allows us to know the existing patterns of movements in the urban environment of the city and to make them visible, provoking a reflection and awareness of the diagnosis made.
Research staff
Lead researcher: Olatz Grijalba (Department of Architecture - CAVIAR Group)
- Mikel Barrena-Herrán (Department of Architecture - CAVIAR Group)
- Itziar Modrego-Monforte (Department of Architecture - CAVIAR Group)
Other project information
- Locator: IK-22-001
- Year: 2022
- Keywords: Urban vitality, Urban dynamics, Data visualization, Time Geography, Location Based Social Network
- Program name: Convocatoria 2022 del Programa de Red Guipuzcoana de Ciencia, Tecnología e Innovación
- Project type: Proyecto de I+D+i financiado en convocatoria competitiva
- Funding entity: Diputación Foral de Gipuzkoa
- Participating entitiesk: OPIK (Bilbao), GIAU+S | ABIO (Madrid), Universidad Alicante (Alicante)
- Start date: 2022-09-01
- Duration: 12 months
- Total amount: 80.509 €