Spatial and temporal characteristics and factors influencing the network attention degree of urban parks based on multi-source data

YE Yongxiang, CUI Tingting, CHEN Xin, ZHU Liying

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (6) : 183-192.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (6) : 183-192. DOI: 10.12302/j.issn.1000-2006.202308025

Spatial and temporal characteristics and factors influencing the network attention degree of urban parks based on multi-source data

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Abstract

【Objective】By analyzing the change characteristics and factors influencing the network attention degree of an urban park network, we made proposals for urban park planning and management.【Method】Using the multi-source data, we assessed the network attention degree of an urban park network consisting of 131 urban parks in the main urban area of Fuzhou City. We identified the spatial and temporal characteristics of the urban park network and devised a six-group index system of service function distribution, urban location characteristics, surrounding spatial characteristics, park attributes, the quality of regional distribution, and land use nature attributes. The driving factors of the network attention degree for the urban parks and its spatial variability were determined using geographic probes and the multi-scale geographically weighted regression model.【Result】(1) The monthly differences in urban park network attention degree were significant, with obvious volatility, mutability and periodicity. (2) Spatially, there was a “one-core and two-slice” layout, and the results of a Moran’s I test showed that the network attention degree presented a positively correlated spatial distribution. (3) The road network density was the main influencing factor, and the park area was the secondary influencing factor, while the interaction of the two factors clearly promoted the network attention degree. (4) The sum of the spatial coefficients of variation of the indexes followed the order of: the quality of the regional distribution (G5) > the peripheral spatial characteristics (G3) > the characteristics of the city’s location (G2) > the attributes of the parks themselves (G4).【Conclusion】Enhancing the level of urban park network attention degree creates a focus on the creation of service quality in urban parks, improving the appearance of the landscape, increasing visitor carrying capacity and the surrounding road transport network, and facilitating tourists. Combined with the temporal changes in the characteristics of the urban park network, the study provides novel insights for the planning and management of urban parks.

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urban park / network attention degree / spatio-temporal characteristics / multiscale geographically weighted regression(MGWR) / Fuzhou City

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YE Yongxiang , CUI Tingting , CHEN Xin , et al. Spatial and temporal characteristics and factors influencing the network attention degree of urban parks based on multi-source data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2024, 48(6): 183-192 https://doi.org/10.12302/j.issn.1000-2006.202308025

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