Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery DOI Creative Commons
Yue Yang,

Hongfei Qiu,

Xiaoying Zhou

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03395 - e03395

Published: Dec. 1, 2024

Language: Английский

Does Inter-city Commuting Lead to Increasing Disparity of Public Service Accessibility within Chinese Metropolitan Areas? A Case Study of Guangzhou DOI
Zifeng Chen

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106129 - 106129

Published: Jan. 1, 2025

Language: Английский

Citations

1

Enhanced Accessibility to Park Cooling Services in Developed Areas: Experimental Insights on the Walkability in Large Urban Agglomerations DOI
Pengcheng Li, Wen Wu,

Yanhong Yin

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: 272, P. 112665 - 112665

Published: Feb. 4, 2025

Language: Английский

Citations

1

Measuring the accessibility of emergency shelters based on an improved two-step floating catchment area model DOI Creative Commons
Yongyang Xu,

Chiyu Zhou,

Bin Hu

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: March 18, 2025

Language: Английский

Citations

1

Bridging the Green Space Divide: A Big Data-Driven Analysis of Park Accessibility Inequities in Chinese Megacities Using Enhanced 3SFCA Modeling DOI Open Access
Yiwen Sun, Hang Li,

Xianhua Guo

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2059 - 2059

Published: Feb. 27, 2025

This study enhances our understanding of urban park accessibility and social equity through a novel methodological framework in Chengdu, China. By improving the three-step floating catchment area (3SFCA) method with space syntax metrics multi-modal transportation analysis, we identify spatial disparities green access. Our methodology, validated Baidu heat map data, demonstrates improved accuracy estimating population demand patterns. Key findings include: (1) The enhanced 3SFCA outperforms traditional approaches predicting accessibility, providing reliable evidence for planning; (2) significant exist across modes, particularly affecting non-motorized transport users; (3) newly developed areas show greater access inequities than established neighborhoods; (4) important mismatches between vulnerable distributions. research provides targeted recommendations reducing all residents, benefiting children elderly populations rapidly urbanizing contexts.

Language: Английский

Citations

0

Investigating the Serviceability of Urban Green Spaces from a Spatial Perspective: A Comparative Study Across 368 Cities on the Chinese Mainland DOI Creative Commons
Y Qin, Yibin Ma,

Mengjie Gong

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 711 - 711

Published: March 26, 2025

Assessing urban green spaces’ (UGSs) serviceability is crucial for ecosystems and well-being, but traditional approaches focus only on the quantity of UGSs while neglecting their spatial configuration or depend region-specific data sources, significantly limiting applicability comprehensive assessments comparisons UGSs. To address this problem, we proposed a novel triangular indicator framework evaluating UGS from perspective using public geospatial data. This integrated three independent indicators to capture ecological value residents’ utilization one composite proportion high-quality services. Our approach was applied across 368 cities in mainland China, significant geographical differences provision usage equality were identified. Cities with similar service characteristics grouped clustering, providing tailored improvement suggestions. Lastly, regression analysis conducted compare system metrics relation economic, demographic, environmental satisfaction data, highlighting advantages our its complementary role alongside ones. study offers new method large-scale evaluation, aiding policymakers refining distribution, improving equality, formulating effective planning strategies promote sustainable development.

Language: Английский

Citations

0

Towards more equitable cooling services of urban parks: Linking cooling effect, accessibility and attractiveness DOI

M YANG,

Wenbin Nie, Renwu Wu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122475 - 122475

Published: Sept. 12, 2024

Language: Английский

Citations

3

An Examination and Analysis of the Clustering of Healthcare Centers and their Spatial Accessibility in Tehran Metropolis: Insights from Google POI Data DOI
Fatemeh Rajabi, Farhad Hosseinali, Hamidreza Rabiei‐Dastjerdi

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105845 - 105845

Published: Sept. 25, 2024

Language: Английский

Citations

3

Enhancing Urban Emergency Response: A Euclidean Distance-Based Framework for Optimizing Rescue Facility Layouts DOI

Chengye MA,

Myeong-Gyu Song,

Weitao ZENG

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106006 - 106006

Published: Nov. 1, 2024

Language: Английский

Citations

3

Understanding Factors Affecting Tourist Distribution in Urban National Parks Based on Big Data and Machine Learning DOI
Yang Ye,

Hongfei Qiu,

Yiru Jia

et al.

Journal of Urban Planning and Development, Journal Year: 2024, Volume and Issue: 150(3)

Published: May 30, 2024

Language: Английский

Citations

1

A dynamic assessment of greenspace exposure from a time and age perspective: comparing lockdown and non-lockdown periods DOI Creative Commons

Xiaoxu Yin,

Yimeng Song, Lijun Zhang

et al.

Ecosystem Health and Sustainability, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Urban greenspace has a profound impact on public health by purifying the air, blocking bacteria, and creating activity venues. Due to people’s different position, exposure age groups changes at various times. In this study, we combined NDVI (normalized difference vegetation index) GVI (green view green indices with mobile signaling big data evaluate of 3 in Shanghai A dynamic assessment model for been adopted study. April 2021 2022 were selected as study periods, representing non-lockdown period lockdown period, respectively. The results indicate that slightly during period. During lockdown, 31 50, 51, above was higher than non-lockdown. However, people aged 0 30 is lower 51 other group. Whether it under or not, from 8:00 17:00, showed value hours. fluctuates steadily 6:00 24:00. This enriches evaluation dimensions urban exposure.

Language: Английский

Citations

0