Exploring the Land Cover Material Interaction of Urban Open Space on the Thermal Comfort of Crowds in High-Temperature Environments and Retrofit Strategies: Two Case Studies in the Nanjing Xinjiekou District

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 314 - 314

Published: March 1, 2024

The increased frequency of extreme hot weather events in recent years poses a significant threat to the lives and health urban residents. Consequently, thermal comfort open areas has garnered growing attention. ground material these directly impacts environment, which significantly influences crowds. This study aimed assess effect land cover materials center squares on people high-temperature conditions. Eight types were selected from two central district Nanjing Xinjiekou. Physiological equivalent temperature (PET) calculations performed by measuring surface temperature, air humidity, other relevant data evaluate population comfort. findings indicated that grass provided highest comfort, with PET scores ranked as follows, low high: grass, permeable bricks, granite, concrete, basalt, bluestone, andesite, asphalt. Additionally, factors such color, roughness, shade within same also impacted Subsequently, using ENVI-met 5.1 software, exhibiting superior simulated for replacement, aiming confirm experimental results propose retrofit strategies improving square optimizing selection. outcomes this hold implications space design overall well-being city dwellers. environment centers during conditions can be improved choice areas, thereby enhancing population.

Language: Английский

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Spatial Nonlinear Effects of Street Vitality Constrained by Construction Intensity and Functional Diversity—A Case Study from the Streets of Shenzhen

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(7), P. 238 - 238

Published: July 2, 2024

As an important part of urban vitality, street vitality is external manifestation economic prosperity and affected by the built environment surrounding vitality. However, existing research on formation mechanism focuses only itself, ignoring spatial spillover effect This study uses 5290 segments in Shenzhen as examples. Utilizing geospatial other multisource big data, this creates weight matrices at varying distances based different living circle ranges. By combining panel threshold model (PTM) Durbin (SPDM), constructs a autoregressive to explore nonlinear effects considering various thresholds construction intensity functional diversity. Our results show following: (1) Street exhibits significant effects, which gradually weaken range expands (Moran indices are 0.178***, 0.160***, 0.145*** for 500 m, 1000 1500 m matrices, respectively). (2) Construction has threshold, 0.1466 under distances. Functional diversity two thresholds: 0.6832 2.2065 matrix, 1.4325 1.2724 matrices. (3) international metropolis, accessibility strong positive impact its conclusion provides stakeholders with patterns that influence offering theoretical foundation further break down barriers

Language: Английский

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A Dynamic Prediction Framework for Urban Public Space Vitality: From Hypothesis to Algorithm and Verification

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2846 - 2846

Published: March 28, 2024

Predicting and assessing the vitality of public urban spaces is crucial for effective design, aiming to prevent issues such as “ghost streets” minimize resource wastage. However, existing assessment methods often lack temporal dynamics or heavily rely on historical big data, limiting their ability accurately predict outcomes unbuilt projects. To address these challenges, this study integrates previous methodologies with observations crowd characteristics in spaces. It introduces crowd-frequency hypothesis develops an algorithm establish a time-dimensional dynamic prediction model. Through case Rundle Mall neighborhood Adelaide, Australia, effectiveness model was validated using on-site observation sampling comparative verification. The framework allows determination within specific time ranges by directly inputting basic information, providing valuable support planners government officials during design decision-making processes. offers cost-effective approach achieve sustainable construction. Furthermore, machine learning techniques, specifically decision tree model, were applied data develop set preliminary tools, which enable output reference levels (high-medium-low).

Language: Английский

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Analysis of Spatial Vitality Characteristics and Influencing Factors of Old Neighborhoods: A Case Study of Ya’an Xicheng Neighborhood

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3348 - 3348

Published: Oct. 23, 2024

Amidst the pursuit of sustainable urban development, bolstering spatial vitality historic neighborhoods emerges as a pivotal endeavor. This study, centering on Xicheng neighborhood in Ya’an City, employs multifaceted data analysis approach to unravel intricate patterns. By adopting dual lens focusing both “people” and “space”, we delve into interplay between vitality, perception, various influencing factors, such environment, business format layout, place atmosphere. Leveraging correlation analysis, meticulously examine extent which these multifarious factors shape perception. Our findings reveal profound connection emotional dimension perception distribution vitality. Notably, aspects character—green rating, accessibility, interface richness—exert most pronounced influence Furthermore, creation distinctive atmosphere is more likely resonate with person’s than physical environment itself.

Language: Английский

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Automatic Design Method for Urban Waterfront Residential Environment Layout Research

International Journal of Agricultural and Environmental Information Systems, Journal Year: 2024, Volume and Issue: 15(1), P. 1 - 12

Published: Nov. 23, 2024

In response to the evolving trends and demands of contemporary urban development, this study introduces an innovative approach waterfront residential environment layout design. By leveraging unique characteristics water features, a novel automatic design methodology is proposed. This method entails generation models, thermal comfort analysis, strategic recommendations through quantification spatial fields using concentric circles or chessboard grids. Weight assignment elements such as mountains, coupled with application computer simulation techniques genetic algorithms, facilitates efficient effective outcomes. prioritizing analysis in process, enhances scientific basis environmental performance-driven schemes, ultimately optimizing work efficiency designers contributing creation sustainable settlements.

Language: Английский

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