Systematic Review of Socially Sustainable and Community Regeneration: Research Traits, Focal Points, and Future Trajectories

Buildings, Год журнала: 2024, Номер 14(4), С. 881 - 881

Опубликована: Март 25, 2024

Accelerated urbanization has led to regional disruptions and exacerbated imbalances in spatial quality, social cohesion, inequalities. Urban regeneration, as a mitigating strategy for these disruptions, faces significant challenges, particularly at the community scale. This study addresses existing research gap by comprehensively reviewing regeneration (CR) from socially sustainable perspective (SSP). Utilizing VOSviewer software, we synthesize categorize relevant trends methods spanning 2006 2023, retrieving 213 coded articles among 5002 documents Web of Science bibliometric datasets. The explores implementation trajectory CR, considering novel scenario demands, emerging technologies, new development paradigms approaches. It delves into human-centric approaches enhance quality life, precision, diversification engagement cultivate sense equity belonging. Moreover, findings highlight densification synergistic adaptive current actions. scientometric review leverages tools innovative policy planning decision-making, ultimately contributing improvement livability. provides valuable insights challenges opportunities associated with offering foundation future research, guiding practical urban design interventions.

Язык: Английский

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Influencing Factors of Street Vitality in Historic Districts Based on Multisource Data: Evidence from China

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(8), С. 277 - 277

Опубликована: Авг. 5, 2024

Amid urban expansion, historic districts face challenges such as declining vitality and deteriorating spatial quality. Using the streets of Xi’an’s historical cultural district examples, this research utilizes multisource data, including points interest (POIs), street view images, Baidu heatmaps, alongside analytical techniques machine learning. This study explores determinants from dual perspectives its external manifestation carriers. A quantitative framework for measuring in is established, thoroughly examining driving factors behind vitality. Additionally, relationship between built environment indicators elucidated through statistical analysis methods. The findings reveal significant, time-varying influences these carriers on human vitality, with distinct distribution patterns activity across different times, significance influence representations various types varies over time. Based insights, paper proposes strategies enhancing streets, aiming to rejuvenate sustain diverse dynamic energy districts. It provides a foundation revitalizing vigor heritage zones offers applicable similar contexts.

Язык: Английский

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A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113118 - 113118

Опубликована: Янв. 29, 2025

Язык: Английский

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Measurement and influencing factors of urban waterfront street vitality from the perspectives of behavior and perception

Environmental Research Communications, Год журнала: 2025, Номер 7(1), С. 015041 - 015041

Опубликована: Янв. 1, 2025

Abstract Serving as the direct interface for interaction between waterfront and urban dwellers, street space environment significantly influences people’s living experiences social interactions. Despite progress in renovation development of streets, these areas remain underutilized lack vitality expected such locations. Using Hunhe Waterfront Streets Shenyang a case study, this research employed Baidu heatmap data Semantic Differential method to assess both behavioral perceived area. Subsequently, study explored main factors influencing streets from three aspects: accessibility, facility configuration environmental construction. It also examined key features that affect under visual perception. Additionally, performed coupling analysis explore relationship within streets. The results indicated density infrastructure commercial facilities, well continuity pedestrian paths, were vitality. degree motorization, green index building enclosure ratio affecting Moreover, coordination was relatively poor, leaving considerable room improvement. By integrating behavior their perceptions environment, its intrinsic connection with features. This work aids developing more effective user-centric design strategies offering practical guidance revitalization redevelopment.

Язык: Английский

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What Are the Pivotal Factors Influencing Housing Prices? A Spatiotemporal Dynamic Analysis Across Market Cycles from Upturn to Downturn in Wuhan

Land, Год журнала: 2025, Номер 14(2), С. 356 - 356

Опубликована: Фев. 9, 2025

With the new phase of urbanization in China, enhancing urban spatial quality has become a key task development. As an important indicator residents’ willingness to live, housing prices provide valuable feedback from their perspective for improving quality. Taking Wuhan as case study, this paper constructs system with 12 explanatory variables, including subjective evaluation buildings generated using deep learning techniques. Using OLS and GWR models, study analyzes factors influencing spatiotemporal dynamics Wuhan’s core areas 2016 2024, encompassing full cycle price fluctuations upward downward trend. The findings reveal that, return more rational levels, impact location diminishes, while influence community factors—such property fees, green space ratio, building quality—significantly increases. Factors such proximity hospitals also exhibit certain degree complexity. This trend highlights growing attention living environments, marking fundamental shift behavior homebuyers. results crucial insights into evolution residential preferences market. They offer significant theoretical practical references understanding needs perspective, thereby promoting healthy development real estate market

Язык: Английский

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Language Culture and Land Use: A Case Study of the Dialect Cultural Regions in Anhui Province, China

Land, Год журнала: 2025, Номер 14(3), С. 648 - 648

Опубликована: Март 19, 2025

The unity of material and spiritual civilization is among the important criteria for sustainable development modernization construction. However, defining relationship between two has posed a challenge to researchers. In terms civilization, many studies on dialect maps reflect characteristics cultural features different regions. Regarding changes in land use behavior have attracted attention scholars, who extensively discussed their regional heterogeneity. few focused connection two, discussions possible bidirectional interaction dialects been limited. Thus, order bridge gap related language use, this study proposes an interactive theoretical framework conducts in—depth analysis by taking Anhui Province China as example. Firstly, it comprehensively identifies types within dialects. This fundamental work provides crucial basis understanding distribution Subsequently, profound spatiotemporal province over time carried out. To further explore behaviors, employs Latent Dirichlet Allocation (LDA) model mine latent semantic topics use-related data, thus enabling more detailed diverse patterns behaviors Finally, uncovering differences regions, explores mechanisms. results show that significant spatial heterogeneity its driving factors can be observed Its manifested regulating people’s activities through constructing “fields” forming habits influence cultures. Meanwhile, under mobility mechanisms, new systems replace indigenous languages immigration destinations. Land methods from emigration areas are spread convenient communication, affecting psychology social groups expands boundaries linguistic geography, offering perspective identification differentiation ideas governance differences.

Язык: Английский

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Evaluating and Comparing Human Perceptions of Streets in Two Megacities by Integrating Street-View Images, Deep Learning, and Space Syntax

Buildings, Год журнала: 2024, Номер 14(6), С. 1847 - 1847

Опубликована: Июнь 18, 2024

Street quality plays a crucial role in promoting urban development. There is still no consensus on how to quantify human street perception large scale or explore the relationship between and composition elements. This study investigates new approach for evaluating comparing accessibility Shanghai Chengdu, two megacities with distinct geographic characteristics, using street-view images, deep learning, space syntax. The result indicates significant differences Chengdu. In there curvilinear distribution of highest positive perceptions along riverfront radioactive spatial negative ring road main roads. displays fragmented cross-aggregation polycentric streets perceptions. Thus, it reasonable hypothesize that closely correlates planning construction process streets. Moreover, we used multiple linear regression explain results show buildings trees, pavement, grass Chengdu were positively associated Walls both consistent correlation other perceptions, are most likely contribute low quality. Ceilings but not major elements while opposite above results. Our research can provide cost-effective rapid solution large-scale, highly detailed assessments inform human-scale planning.

Язык: Английский

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Exploring the Mental Health Benefits of Urban Green Spaces Through Social Media Big Data: A Case Study of the Changsha–Zhuzhou–Xiangtan Urban Agglomeration

Sustainability, Год журнала: 2025, Номер 17(8), С. 3465 - 3465

Опубликована: Апрель 13, 2025

Urban green spaces (UGSs) provide recreational and cultural services to urban residents play an important role in mental health. This study uses big data mining techniques analyze 62 parks the Changsha–Zhuzhou–Xiangtan agglomeration (CZXUA) based on such as points of interest (POIs), areas (AOIs), user comments from popular social media platform Dianping. In addition, authors apply sentiment analysis using perceptual dictionaries combined with geographic information identify text emotions. A structural equation model (SEM) was constructed IBM SPSS AMOS 24.0 software investigate relationship between five external features, types services, nine landscape elements, four environmental factors, tourist The results show that UGS factors all have positive effects residents’ emotions, elements having greatest impact. other similar moods. various UGSs, natural vegetation water tend evoke emotions residents, while artificial roads, squares, buildings elicit more varied emotional responses. research provides science-based support for design management parks.

Язык: Английский

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Integrating Streetscape Images, Machine Learning, and Space Syntax to Enhance Walkability: A Case Study of Seongbuk District, Seoul

Land, Год журнала: 2024, Номер 13(10), С. 1591 - 1591

Опубликована: Сен. 30, 2024

As urbanization rapidly progresses, streets have transitioned from mere transportation corridors to crucial spaces for daily life and social interaction. While past research has examined the impact of physical street characteristics on walkability, there is still a lack large-scale quantitative assessments. This study systematically evaluates walkability in Seongbuk District, Seoul, through integration streetscape images, machine learning, space syntax. The were extracted analyzed conjunction with syntax assess accessibility, leading combined analysis accessibility. results reveal that central western regions District outperform eastern overall performance. Additionally, identifies four distinct types based their spatial distribution: high accessibility–high score, accessibility–low low score. findings not only provide scientific basis development but also offer valuable insights assessing enhancing cities globally.

Язык: Английский

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Fusing multi-source social media data and street view imagery to inform urban space quality: a study of user perceptions at Kampong Glam and Haji Lane

Urban Informatics, Год журнала: 2024, Номер 3(1)

Опубликована: Июнь 18, 2024

Abstract This study proposes a novel approach to urban perception studies by integrating street view imagery and multi-source social media data infer user perceptions preferences of spaces, thereby informing placemaking strategies. With advanced pre-trained Google Cloud Vision AI, this regards as baseline compare with user-generated content from platforms, namely, Flickr, TripAdvisor, X (formerly Twitter), together revealing spatial elements perceived users diverse demands across groups. The research evaluates space qualities at two levels through case Kampong Glam district Haji Lane, focusing on Uniqueness, Vitality, Liveability derived classic theories. transition in focus transport features Street View activities decorations Flickr emphasizes the that contribute Uniqueness Vitality. In addition, textual Twitter TripAdvisor differentiate residents' tourists' Liveability, encompassing aspects like History, Religion, Space, Activity. findings articulate alignments users' contributing offering valuable insights for user-centric planning.

Язык: Английский

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