Navigating Post-COVID-19 Social–Spatial Inequity: Unravelling the Nexus between Community Conditions, Social Perception, and Spatial Differentiation

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 563 - 563

Published: April 22, 2024

The 2023 SDGs report underscores the prolonged disruption of COVID-19 on community living spaces, infrastructure, education, and income equality, exacerbating social spatial inequality. Against backdrop dual impact significant events emergence digital technologies, a coherent research trajectory is essential for characterizing social–spatial equity understanding its influential factors within urban planning discipline. While prior emphasized dimensions mitigated differentiation to ensure equity, complexity these interconnections necessitates more comprehensive approach. This study adopts holistic perspective, focusing “social–spatial” dynamics, utilizing perception (sentiment maps) (housing prices index) pre- post-pandemic elucidate interconnected interactive nature uneven development at scale. It employs multi-dimensional methodological framework integrating morphology analysis housing conditions, GIS amenities, sentiment semantic public opinion, multiscale geographically weighted regression (MGWR) correlation factors. Using Suzhou, China, as pilot study, this demonstrates how integrated methods complement each other, exploring conditions resource distribution collectively bolster resilience, thereby maintaining amidst pandemic disruptions. findings reveal that exacerbates stratification differentiation. proximity well-maintained ecological environments, such parks or scenic landmarks, generally exhibits consistency positive effects measurement. Simultaneously, various elements influencing show geographic heterogeneity, particularly in areas farther from central regions Xiangcheng Wujiang districts. uncovers bilateral mechanism between differentiation, aiming delve into interdependent relationship built environmental Furthermore, it aspires provide meaningful references recommendations regeneration policy formulation era sustain equity.

Language: Английский

---

How does the perception of informal green spaces in urban villages influence residents’ complaint Sentiments? a Machine learning analysis of Fuzhou City, China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112376 - 112376

Published: July 18, 2024

Language: Английский

---

Using georeferenced text from social media to map the cultural ecosystem services of freshwater ecosystems

Ecosystem Services, Journal Year: 2025, Volume and Issue: 72, P. 101702 - 101702

Published: Feb. 1, 2025

Language: Английский

---

Assessing recreationists’ preferences of the landscape and species using crowdsourced images and machine learning

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 257, P. 105315 - 105315

Published: Feb. 9, 2025

Language: Английский

---

Evaluating Perceived Cultural Ecosystem Services in Urban Green Spaces Using Big Data and Machine Learning: Insights from Fragrance Hill Park in Beijing, China

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1725 - 1725

Published: Feb. 19, 2025

Cultural ecosystem services (CESs) are essential for the sustainable development and management of urban green spaces. However, there remains a gap in leveraging big data unsupervised machine learning to comprehensively evaluate perceived CESs. This study introduces hybrid research methodology integrating latent dirichlet allocation (LDA) importance–performance analysis (IPA) analyze 20,087 user-generated reviews Fragrance Hill Park Beijing from Meituan. The key findings following: (1) ten types CESs were identified, including five related personal well-being, four public one bridging both categories; (2) most significant dimensions “recreational activities”, “aesthetic appreciation”, “physical well-being”, “mental well-being”; (3) users expressed positive sentiments toward “history culture”, “religious engagement”, while “social relations” received negative feedback; (4) IPA results highlight activities” appreciation” as priority areas improvement. provides scalable, data-driven framework evaluating insights gained can inform space policy decisions enhance user experiences promote development.

Language: Английский

---

Using large language models to investigate cultural ecosystem services perceptions: A few-shot and prompt method

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 258, P. 105323 - 105323

Published: Feb. 24, 2025

Language: Английский

---

Powerful flowers: Public perception of grassland aesthetics is strongly related to management and biodiversity

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Abstract Temperate grasslands provide various cultural ecosystem services that are appreciated in diverse ways. Capturing these appreciations requires different methodological approaches, such as questionnaire surveys and social media analyses. In this study, we combined the potential of both approaches to capture two aspects what people appreciate agricultural grasslands, i.e., aesthetic quality differently managed plant communities objects frequently found grassland-based images. The complementary showed preferred colourful flower- species-rich over grass-dominated fertilised swards. Social analysis highlighted mainly photographed flowers, followed by livestock and/or wildlife, but depended also on platform used. conclusion, people’s appreciation was clearly related intensity grassland management level biodiversity, with a preference for extensively flowers wildlife. Yet, significant differences between (i) conservationists professionals communities, (ii) common visitors naturalists their content. Our results suggest extensive ecological restoration can be used increase enhancing richness forbs, other attractive Thus, targeted is necessary maintain enhance attractiveness landscapes subsequently health benefits associated human-nature contacts.

Language: Английский

---

Emotional landscape analysis of cultural ecosystem services in heritage parks: a deep learning approach using social media data

Urban Ecosystems, Journal Year: 2025, Volume and Issue: 28(3)

Published: March 26, 2025

Language: Английский

---

Popularity influence mechanism of coastal spaces in urban areas: Insights from multi-modal large language models

Cities, Journal Year: 2025, Volume and Issue: 161, P. 105909 - 105909

Published: April 2, 2025

Language: Английский

---

Perception and drivers of cultural ecosystem services in waterfront green spaces: insights from social media text analysis

Anthropocene, Journal Year: 2025, Volume and Issue: unknown, P. 100477 - 100477

Published: May 1, 2025

Language: Английский

---