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Beyond Spatial Proximity: Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data
[Zeitschriftenartikel]
Abstract Parks are essential public places and play a central role in urban livability. However, traditional methods of investigating their attractiveness, such as questionnaires and in situ observations, are usually time- and resource-consuming, while providing less transferable and only site-specific resul... mehr
Parks are essential public places and play a central role in urban livability. However, traditional methods of investigating their attractiveness, such as questionnaires and in situ observations, are usually time- and resource-consuming, while providing less transferable and only site-specific results. This paper presents an improved methodology of using social media (Twitter) data to extract spatial and temporal patterns of park visits for urban planning purposes, along with the sentiment of the tweets, focusing on frequent Twitter users. We analyzed the spatiotemporal park visiting behavior of more than 4000 users for almost 1700 parks, examining 78,000 tweets in London, UK. The novelty of the research is in the combination of spatial and temporal aspects of Twitter data analysis, applying sentiment and emotion extraction for park visits throughout the whole city. This transferable methodology thereby overcomes many of the limitations of traditional research methods. This study concluded that people tweeted mostly in parks 3–4 km away from their center of activity and they were more positive than elsewhere while doing so. In our analysis, we identified four types of parks based on their visitors’ spatial behavioral characteristics, the sentiment of the tweets, and the temporal distribution of the users, serving as input for further urban planning-related investigations.... weniger
Thesaurusschlagwörter
Grünfläche; Soziale Medien; Datengewinnung; Stadtplanung; Twitter; Großbritannien; zentraler Ort; Stadtsoziologie; Städtebau; Fußgänger; Verhaltensanalyse; Exploration; Raumplanung; Lebensqualität; Informationssystem; Geographie; statistische Analyse; Daten
Klassifikation
Siedlungssoziologie, Stadtsoziologie
Raumplanung und Regionalforschung
Freie Schlagwörter
GIS; urban green; urban planning; social media data; spatiotemporal analysis; urban parks; urban green areas; spatial analysis; GIS; sentiment analysis; temporal analysis; livability; social media analysis; accessibility analysis; London
Sprache Dokument
Englisch
Publikationsjahr
2018
Seitenangabe
26 S.
Zeitschriftentitel
International Journal of Geo-Information (ISPRS), 7 (2018) 9
DOI
https://doi.org/10.3390/ijgi7090378
ISSN
2220-9964
Status
Veröffentlichungsversion; begutachtet (peer reviewed)