期刊
GEOJOURNAL
卷 87, 期 SUPPL 4, 页码 723-738出版社
SPRINGER
DOI: 10.1007/s10708-021-10489-0
关键词
PPGIS; Activity space; Mobility; Participatory mapping; Survey; GIS; Modeling; Spatial analysis
类别
资金
- Aalto University
- Academy of Finland, PLANhealth Project [13297753]
- FinEst (H2020 grant) [856602]
This paper discusses the use of public participation GIS (PPGIS) data for activity space modeling and analysis, highlighting its advantages and limitations. Future research should focus on incorporating the temporal dimension and developing new methods for activity space modeling and analysis using PPGIS data.
Participatory mapping approaches have raised increasing interest in a variety of fields of research and practice during the past two decades. However, their use in modeling and studying individual mobility and activity spaces is rather recent and limited. This paper focuses on the use of public participation GIS (PPGIS) data in activity space modeling and analysis and aims to draw more scholarly attention to the existing research potentials in this area. While reviewing the pros of using PPGIS for activity space studies, this paper also discusses the existing limitations and outlines how they can be addressed in future research. PPGIS effectively enables collecting data from larger samples, making it possible to conduct more comprehensive geospatial and statistical analyses on the data. Additionally, the strong link between individuals and places in PPGIS data facilitates more person-based approaches in investigating person-environment relationships. However, use of PPGIS for activity space studies comes with analytical and data quality challenges that need to be thoroughly taken into consideration. Particularly, future research needs to seek new ways of including the temporal dimension in PPGIS and find new methods of using the data for activity space modeling and analysis.
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