TY - JOUR
T1 - How important are the park size and shape to a park system’s performance? An exploration with big data in Tucson, Arizona, USA
AU - Li, Shujuan
AU - Yang, Bo
N1 - Funding Information:
Acknowledgements The authors thank the anonymous reviewers for their constructive comments which greatly improved this paper. This research was supported by the Drachman Institute.
Publisher Copyright:
© © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2021.
PY - 2021/9
Y1 - 2021/9
N2 - Parks are essential for high-quality urban life. However, few studies have assessed a city’s park system performance from spatial planning and design. We analyzed the spatial distributions of visits to 141 parks in Tucson, Arizona (USA), using cellphone geolocation data and GIS spatial analysis. We developed two easy-to-use and easy-to-adapt metrics (visit/day and visit/month) to compare visits across different park types and during different days and seasons. Principal results include: (1) on average, each Tucson resident paid 2.02 visits to parks in 2019; (2) for each 100-m2 park area, river/linear parks and other types of parks can attract 9.8 and 2.6 visits, respectively, on an annual basis; (3) smaller parks are popular during the weekdays, whereas larger parks attract more visits over the weekends; and (4) park perimeter is another critical design variable in addition to park size in explaining park visits. We conclude that big data on park visits can provide a robust quantitative assessment of a city’s park system performance, and targeted planning and design interventions can elevate the performance. The assessment framework presented in this study can be instrumental in guiding park management decisions, including resource allocation, and making connections to public health and economic development goals and initiatives.
AB - Parks are essential for high-quality urban life. However, few studies have assessed a city’s park system performance from spatial planning and design. We analyzed the spatial distributions of visits to 141 parks in Tucson, Arizona (USA), using cellphone geolocation data and GIS spatial analysis. We developed two easy-to-use and easy-to-adapt metrics (visit/day and visit/month) to compare visits across different park types and during different days and seasons. Principal results include: (1) on average, each Tucson resident paid 2.02 visits to parks in 2019; (2) for each 100-m2 park area, river/linear parks and other types of parks can attract 9.8 and 2.6 visits, respectively, on an annual basis; (3) smaller parks are popular during the weekdays, whereas larger parks attract more visits over the weekends; and (4) park perimeter is another critical design variable in addition to park size in explaining park visits. We conclude that big data on park visits can provide a robust quantitative assessment of a city’s park system performance, and targeted planning and design interventions can elevate the performance. The assessment framework presented in this study can be instrumental in guiding park management decisions, including resource allocation, and making connections to public health and economic development goals and initiatives.
KW - Landscape features
KW - Park visit
KW - Placemaking
KW - SafeGraph
KW - Sonoran desert
KW - Urban green infrastructure
UR - http://www.scopus.com/inward/record.url?scp=85126071908&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126071908&partnerID=8YFLogxK
U2 - 10.1007/s42532-021-00086-3
DO - 10.1007/s42532-021-00086-3
M3 - Article
AN - SCOPUS:85126071908
SN - 2524-5279
VL - 3
SP - 281
EP - 291
JO - Socio-Ecological Practice Research
JF - Socio-Ecological Practice Research
IS - 3
ER -