Joaquín Osorio Arjona

Joaquín Osorio Arjona
Spanish National Research Council | CSIC · Centro de Ciencias Humanas y Sociales

Doctor of Geography

About

12
Publications
2,451
Reads
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96
Citations
Citations since 2016
12 Research Items
95 Citations
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20162017201820192020202120220102030
Introduction
Geographer and GIS analyst. Human Geography PhD Student. FPU Contract by Spain Ministry of Education. Specialized in GIS and cartography applied to transport and metropolitan areas. Main work line is application of Big Data and new information sources (ICT, social networks) to metropolitan mobility.
Education
September 2015 - October 2020
Complutense University of Madrid
Field of study
  • Human Geography
September 2014 - July 2015
University of Alcalá
Field of study
  • Geographic Information Systems
September 2010 - June 2014
Universidad Pablo de Olavide
Field of study
  • Geography and History

Publications

Publications (12)
Technical Report
Full-text available
Segundo informe sobre el Impacto del COVID-19 en los Indicadores Demográficos de la Comunidad de Madrid.
Article
Social networks are platforms widely used by travelers who express their opinions about many services like public transport. This paper investigates the value of texts from social networks as a data source for detecting the spatial distribution of problems within a public transit network by geolocating citizens' feelings, and analyzes the effects s...
Article
Full-text available
Cómo citar este artículo/Citation: Osorio Arjona, Joaquín (2020). Análisis de los patrones espacio-temporales de eventos a partir de datos de Twitter: el caso de la World Pride 2017 en Madrid. Estudios Geográficos, 81 (288), e032. https://doi.org/10.3989/ estgeogr.202047.027 RESUMEN: Este trabajo analiza los patrones espaciotemporales de un macroev...
Article
Full-text available
Recent progress in computation and the spatio-temporal richness of data obtained from new sources have invigorated Time Geography. It is now possible to visualise and represent movements of people in a dual spatial-temporal dimension. In this work, we use geo-located data from the social media platform Twitter to show the value of new data sources...
Article
The proliferation of Big Data is beneficial to the study of mobility patterns in cities. This work investigates the use of social media as an efficient tool for urban mobility studies. In this case, the social network Twitter has been used, due to its wealth of spatial and temporal data and the possibility of accessing data free of charge. Using a...
Conference Paper
Full-text available
En esta ponencia se trabaja con datos de la red social Twitter para conocer los lugares de procedencia de los estudiantes en los campus universitarios de la Comunidad de Madrid. Para ello, se han descargado en streaming datos de los tweets geolocalizados generados en la Comunidad de Madrid durante más de un año. La base de datos de tweets geolocali...
Article
Full-text available
El aumento de la demanda de movilidad en las ciudades ha conllevado una dinámica poco sos- tenible tanto a nivel social como ambiental. Para promover actuaciones hacía una movilidad sostenible es necesario el uso de fuentes de información dinámicas, con un alto detalle espacial y temporal (y de bajo coste) que permitan realizar diagnósticos eficien...
Conference Paper
Full-text available
Esta comunicación busca realizar una aproximación al diseño de matrices Origen-Destino para el estudio de la movilidad metropolitana a partir de datos de Big Data y redes sociales. En este caso se ha usado la red social Twitter debido a su riqueza de datos espaciales y temporales y la posibilidad de acceder a los datos de forma gratuita. Como caso...
Article
Increment of mobility demand in cities has carried socially and environmentally an unsustainable dynamic. For a sustainable planning, dynamic, high spatial and temporal resolution, and low cost sources are needed. Information and Communication Technologies appear as new interactive sources able to meet these needs. In this article, a state of the a...

Network

Cited By

Projects

Projects (3)
Project
This project goal is to use Information and Communication Technologies such as Twitter or smart cards as interactive sources for analyzing mobility and transport issues in Madrid Metropolitan Area.
Project
The objective is to measure accessibility and mobility by transport mode at different time frames in order to integrate travel time data and the attractiveness of the destinations in dynamic accessibility indicators. For example, travel times are being extracted from TomTom Speed Profiles and Google Maps. In addition, OD matrices at different time frames will be built from geo-located tweets, credit cards, public transport cards and other sources in order to measure the spatio-temporal variability of the attractiveness of destinations and of the transport demand.
Project
Big Data is used for monitoring and analysing the social transformation produced by the technological change in the social (inequalities in the digital society and new interactive practices), political (social movements and public participation) and economic (digital society, collaborative and formal economy) perspectives. More info available at: http://socialbigdata.transyt-projects.com/