Assessing the Spatial Equity of Urban Park Green Space Layout from the Perspective of Resident Heterogeneity

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5631 - 5631

Published: June 30, 2024

Urban park green spaces (UPGS) are essential resources for improving the urban ecological environment and meeting residents’ recreational needs. However, during rapid urbanization, layout of UPGS often exhibits spatial inequity, with significant differences in enjoyed by resident groups different socioeconomic attributes. Accurately assessing equity (the equal accessibility UPGS) is crucial optimizing resource allocation promoting social equity. This study takes main area Nanjing as an example utilizes location-based service (LBS) data multi-source geographic to conduct in-depth characterization attributes, behaviors, space at street scale. By constructing indicators heterogeneity supply–demand matching degree, it reveals among locations explores correlation between The finds that generally poor central low-income communities. higher degree diversification attributes leads a lower level their streets. results big analysis verify impact on layout. issues from perspective heterogeneity, providing new ideas evidence resources. Future planning should pay more attention diversity needs, focus areas communities, balance interests demands stakeholders through public participation mechanisms.

Language: Английский

Integrating green space measures into future town planning in Zhejiang, China

Environment and Planning B Urban Analytics and City Science, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 24, 2024

Various spatial indices have been used by scholars to evaluate the built environment of towns. However, previous analysis has fallen short in systematically addressing distribution green space future town planning. This paper fills gap integrating an expanded urban intensity framework and comparing existing conditions (2018) planning schemes (2030) eleven towns Zhejiang Province, China. In this paper, we computed ARCGIS FRAGSTATS, correlation STATA for statistical analysis, adopted demographic, economic, environmental variables validate selected indices. The results show that: (1) can result either reduction spaces centers or uneven spaces; (2) Validation indicators reveals observable association with normalized difference vegetation index (NDVI), which implies that chosen effectively reflect condition greenery; (3) regulatory detailed does not always improve layout towns, especially after considering distributions. These findings emphasize importance suitable layouts over large monolithic blocks effective Moreover, achieving optimal necessitates a balanced spaces. Finally, integration factors adoption comprehensive approach, as highlighted study, serve valuable guide planners policymakers different jurisdictions achieve more desirable layouts.

Language: Английский

A study of the changing characteristics and influencing factors of holiday visitor vitality in Urban parks: The case of Fuzhou, China

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0311546 - e0311546

Published: Dec. 5, 2024

The vitality of urban parks reflects the intensity green space utilization, gauging visitors’ overall perception parks, facilitating integrated park management, and ensuring parks’ sustainable development. But, park’s spatial characteristics change over time, factors influencing differences in have not been conclusively established. Therefore, This study employs Baidu heat map data to examine temporal distribution patterns visitor on holidays weekdays located core region Fuzhou City. Meanwhile, this will be achieved by utilizing a geo-detector MGWR model analyze variations impact coefficients. conclusions are as follows: (1)Park varied dramatically between different periods, with being higher than weekdays. peaks all concentrated at 10:00 16:00. had pattern many peaks, wave-like fluctuation. On weekdays, there was notable M-shaped feature. (2)The has "bimodal" two distinct cores numerous fragmented fragments. There liveliness characterized "long-tail effect." In other words, just few high vitality, while low vitality. (3)The peripheral location features (G2) transportation infrastructure (G3)are main affecting vitality; X11 amenities highest coefficient (0.501 0.491 holidays). within Park attributes (G1) social media level (G4) showed two-way interaction strength increase. (4)The coefficients influence heterogeneity vacation exhibit significant variation. positive indicators that decreases from northwest southeast, old city district having new district. negative display reverse pattern. offers scientific methodologies recommendations for improving designing landscapes.

Language: Английский