Plausible or misleading? Evaluating the adaption of the place pulse 2.0 dataset for predicting subjective perception in Chinese urban landscapes

Habitat International, Год журнала: 2025, Номер 157, С. 103333 - 103333

Опубликована: Фев. 17, 2025

Язык: Английский

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Exploring the association between the built environment and positive sentiments of tourists in traditional villages in Fuzhou, China

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102465 - 102465

Опубликована: Янв. 11, 2024

Promoting positive emotional experiences for tourists is crucial sustaining development in rural areas. However, existing research has limited focus on the built environment, particularly developing a framework to evaluate environmental sentiment small medium scale with detailed indicators. This study addresses this gap by examining impact of environment tourists' emotions. Natural Language Processing (NLP) technologies are employed analyze web text data and determine average index traditional villages Fuzhou, China. Additionally, were acquired through HRnet segmentation model Matlab. To assess association between indicators index, we used eXtreme Gradient Boosting (XGBoost), SHapley Additive exPlanation (SHAP) model, ArcMap software. The demonstrated that (1) spatial distribution was significant. Houfu Village (9.91), Qianhu (9.88), Ximen (9.75) had highest scores, while Doukui (−0.85), Jiji (0.2), Qiaodong (0.55) lowest. (2) have most significant Openness, Greenness, Color Complexity, contribution value above 0.7—followed Enclosure, Visual Entropy, Ground Exposure, 0.5 0.7. Furthermore, analyzing interaction mechanism showed non-linear relationship. characteristics associated high scores openness range 0.2 0.5, greenness 0.4 0.6, color complexity 0.3 0.5. provides observations pertinent sustainable village environments. findings contribute an understanding how these elements might be effectively designed improve settings.

Язык: Английский

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Beyond built environment: Unveiling the interplay of streetscape perceptions and cycling behavior

Sustainable Cities and Society, Год журнала: 2024, Номер 109, С. 105525 - 105525

Опубликована: Май 20, 2024

As an important means of shared micro-mobility, bicycles have become a crucial component urban transportation in China. The impact the built environment on bicycling has been widely acknowledged. However, can streetscape perceptions influence bicycle-sharing volume (BSV) and supplement environment? We first obtained millions pieces shared-cycling data from Shenzhen Open Data Platform carried out geographical quantification BSV. for streetscape, we improved classification subjective perception based street view images using k-means clustering algorithm conducted predictions XGBoost. Through application different regression models, unveiled nonlinear spatial interdependencies between BSV as complement to environment. Our findings indicate that greenery, vivid street-front facades, diverse facilities promote Targeted strategies are proposed districts. For instance, planners provide incentives high-income groups central areas adopt active travel, increase supply suburban with high building density, particularly industrial villages. long-term planning recommendations derived macro-built analysis, in-depth quantitative assessment proffers human-centric, flexible blueprint design.

Язык: Английский

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Assessing and interpreting perceived park accessibility, usability and attractiveness through texts and images from social media

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105619 - 105619

Опубликована: Июль 3, 2024

Язык: Английский

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Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China

Journal of Environmental Management, Год журнала: 2024, Номер 369, С. 122330 - 122330

Опубликована: Сен. 3, 2024

Язык: Английский

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Prediction method for the dynamic response of expressway lateritic soil subgrades on the basis of Bayesian optimization CatBoost

Soil Dynamics and Earthquake Engineering, Год журнала: 2024, Номер 186, С. 108943 - 108943

Опубликована: Сен. 5, 2024

Язык: Английский

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Leveraging large language models for tourism research based on 5D framework: A collaborative analysis of tourist sentiments and spatial features

Tourism Management, Год журнала: 2025, Номер 108, С. 105115 - 105115

Опубликована: Янв. 1, 2025

Язык: Английский

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Evaluating and Diagnosing Urban Function and Perceived Quality Based on Multi-Source Data and Deep Learning Using Dalian as an Example

Buildings, Год журнала: 2025, Номер 15(7), С. 998 - 998

Опубликована: Март 21, 2025

Currently, coordinated development in terms of perceived urban quality and function has become a key problem. However, there is an imbalance between the street environment amenities. It necessary to explore current status propose optimization strategies promote spaces. Dalian, China, was selected as study area. Based on space syntax, high-accessibility low-accessibility streets were sites. An evaluation system constructed part study. included quality. Data density diversity amenities obtained by establishing points interest (POIs). The subjective psychological perception calculated using view images (SVIs). Then, coupling analysis based conducted results indicated that differences levels regard spatial Dalian. Specifically, mainly concentrated central higher than streets. found had highest proportions advantage opportunity beauty lowest maintenance among improvement Openness As result analysis, this not only helps optimize layout improve environment, but also provides practical guidance for future design. Additionally, will help environments enhance overall livability environment.

Язык: Английский

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Decoding vibrant neighborhoods: Disparities between formal neighborhoods and urban villages in eye-level perceptions and physical environment

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105122 - 105122

Опубликована: Дек. 17, 2023

Язык: Английский

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Revealing public attitudes toward mobile cabin hospitals during Covid-19 pandemic: Sentiment and topic analyses using social media data in China

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105440 - 105440

Опубликована: Апрель 12, 2024

Язык: Английский

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