Details
| Original language | English |
|---|---|
| Article number | 238 |
| Journal | Land |
| Volume | 11 |
| Issue number | 2 |
| Publication status | Published - 5 Feb 2022 |
| Externally published | Yes |
Abstract
Scientific interest in the potential of urban green spaces, particularly urban parks, to improve health and well-being is increasing. Traditional research methods such as observations and surveys have recently been complemented by the use of social media data to understand park visitation patterns. We aimed to provide a systematic overview of how social media data have been applied to identify patterns of urban park use, as well as the advantages and limitations of using social media data in the context of urban park studies. We used the PRISMA method to conduct a systematic literature analysis. Our main findings show that the 22 eligible papers reviewed mainly used social media data to analyse urban park visitors’ needs and demands, and to identify essential park attributes, popular activities, and the spatial, social, and ecological coherence between visitors and parks. The review allowed us to identify the advantages and limitations of using social media data in such research. These advantages include a large database, real-time data, and cost and time savings in data generation of social media data. The identified limitations of using social media data include potentially biased information, a lack of socio-demographic data, and privacy settings on social media platforms. Given the identified advantages and limitations of using social media data in researching urban park visitation patterns, we conclude that the use of social media data as supplementary data constitutes a significant advantage. However, we should critically evaluate the possible risk of bias when using social media data.
Keywords
- Big data, Park use, Social media data, Systematic review, Urban green spaces
ASJC Scopus subject areas
- Environmental Science(all)
- Nature and Landscape Conservation
- Environmental Science(all)
- Global and Planetary Change
- Environmental Science(all)
- Ecology
Sustainable Development Goals
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In: Land, Vol. 11, No. 2, 238, 05.02.2022.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Patterns of Urban Green Space Use Applying Social Media Data
T2 - A Systematic Literature Review
AU - Zabelskyte, Gabriele
AU - Kabisch, Nadja
AU - Stasiskiene, Zaneta
N1 - Funding information: Gabriele’s work was supported by funding of the Deutsche Bundesstiftung Umwelt (DBU, AZ 30021/928-45, period: 2021/04/15 – 2022/04/14) with the project “Identifying Indicators of UrbanEcosystem Services to Mitigate Health Risks”.
PY - 2022/2/5
Y1 - 2022/2/5
N2 - Scientific interest in the potential of urban green spaces, particularly urban parks, to improve health and well-being is increasing. Traditional research methods such as observations and surveys have recently been complemented by the use of social media data to understand park visitation patterns. We aimed to provide a systematic overview of how social media data have been applied to identify patterns of urban park use, as well as the advantages and limitations of using social media data in the context of urban park studies. We used the PRISMA method to conduct a systematic literature analysis. Our main findings show that the 22 eligible papers reviewed mainly used social media data to analyse urban park visitors’ needs and demands, and to identify essential park attributes, popular activities, and the spatial, social, and ecological coherence between visitors and parks. The review allowed us to identify the advantages and limitations of using social media data in such research. These advantages include a large database, real-time data, and cost and time savings in data generation of social media data. The identified limitations of using social media data include potentially biased information, a lack of socio-demographic data, and privacy settings on social media platforms. Given the identified advantages and limitations of using social media data in researching urban park visitation patterns, we conclude that the use of social media data as supplementary data constitutes a significant advantage. However, we should critically evaluate the possible risk of bias when using social media data.
AB - Scientific interest in the potential of urban green spaces, particularly urban parks, to improve health and well-being is increasing. Traditional research methods such as observations and surveys have recently been complemented by the use of social media data to understand park visitation patterns. We aimed to provide a systematic overview of how social media data have been applied to identify patterns of urban park use, as well as the advantages and limitations of using social media data in the context of urban park studies. We used the PRISMA method to conduct a systematic literature analysis. Our main findings show that the 22 eligible papers reviewed mainly used social media data to analyse urban park visitors’ needs and demands, and to identify essential park attributes, popular activities, and the spatial, social, and ecological coherence between visitors and parks. The review allowed us to identify the advantages and limitations of using social media data in such research. These advantages include a large database, real-time data, and cost and time savings in data generation of social media data. The identified limitations of using social media data include potentially biased information, a lack of socio-demographic data, and privacy settings on social media platforms. Given the identified advantages and limitations of using social media data in researching urban park visitation patterns, we conclude that the use of social media data as supplementary data constitutes a significant advantage. However, we should critically evaluate the possible risk of bias when using social media data.
KW - Big data
KW - Park use
KW - Social media data
KW - Systematic review
KW - Urban green spaces
UR - http://www.scopus.com/inward/record.url?scp=85124408847&partnerID=8YFLogxK
U2 - 10.3390/land11020238
DO - 10.3390/land11020238
M3 - Review article
VL - 11
JO - Land
JF - Land
IS - 2
M1 - 238
ER -