Social Media Data Analysis in Urban E-Planning

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaChapterScientificvertaisarvioitu


Computational social media data analysis (SMDA) is opening up new possibilities for participatory urban planning. The aim of this study is to analyse what kind of computational methods can be used to analyse social media data to inform urban planning. A descriptive literature review of recent case study articles reveal that in this context SMDA has been applied mainly to location based social media data, such as geo-tagged Tweets, photographs and check-in data. There were only a few studies concerning the use of non-place-based data. Based on this review SMDA can provide planners with local knowledge about people’s opinions, experiences, feelings, behaviour, and about the city structure. However, integration of this knowledge in planning and decision-making has not been completely successful in any of the cases. By way of a conclusion, a planning-led categorization of the SMDA method’s tools and analysis results is suggested.
OtsikkoSmart Cities and Smart Spaces: Concepts, Methodologies, Tools, and Applications
ISBN (elektroninen)9781522570318
DOI - pysyväislinkit
TilaJulkaistu - syysk. 2018
OKM-julkaisutyyppiA3 Kirjan osa tai toinen tutkimuskirja


Sukella tutkimusaiheisiin 'Social Media Data Analysis in Urban E-Planning'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä