Identification and Causes of Neighborhood Commercial Areas: Focusing on the Development of Daily Life Circles in Urban Built Environments DOI Creative Commons
Tao Feng, Ying Zhou

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(11), С. 406 - 406

Опубликована: Ноя. 11, 2024

Urban planning in China is shifting from an administrative unit-based approach to community life circle planning, aiming align units with residents’ actual activity ranges. As the most fundamental circle, daily (DLC) must adopt a bottom-up approach. However, widely applicable methods for delineating DLCs remain lacking. This study presents strategy centered on neighborhood commercial areas that aggregate essential services. Correspondingly, method proposed identifying based usage of facilities. The was applied Qinhuai District, Nanjing, where were identified and factors influencing their formation types quantitatively analyzed. results indicate following: (1) accurately identifies can serve as DLC central areas; (2) diversity, public transportation stops, parking spots are three influential area formation, exhibiting non-linear threshold effects; (3) type varies by population density, housing prices, street betweenness, betweenness being significant factor. These findings provide indicators delineation contributing realization construction concept.

Язык: Английский

X-minute cities as a growing notion of sustainable urbanism: A literature review DOI
Borhan Sepehri, Ayyoob Sharifi

Cities, Год журнала: 2025, Номер 161, С. 105902 - 105902

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

4
Beyond built environment: Unveiling the interplay of streetscape perceptions and cycling behavior DOI Creative Commons
Jin Rui, Yuhan Xu

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

Процитировано

11
Plausible or misleading? Evaluating the adaption of the place pulse 2.0 dataset for predicting subjective perception in Chinese urban landscapes DOI Creative Commons
Jin Rui, Chenfan Cai

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

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

2
Leveraging large language models for tourism research based on 5D framework: A collaborative analysis of tourist sentiments and spatial features DOI Creative Commons
Jin Rui, Yuhan Xu, Chenfan Cai

и другие.

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

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Destigmatizing urban villages by examining their attractiveness: Quantification evidence from Shenzhen DOI Creative Commons
Jin Rui, Yuhan Xu,

Xiang Li

и другие.

Habitat International, Год журнала: 2024, Номер 150, С. 103120 - 103120

Опубликована: Июнь 12, 2024

While existing social and political research has qualitatively discussed the stigmatization of urban villages (UVs), there's a lack quantitative support. This study innovatively attempts to provide evidence, employing spatial perspective for destigmatization UVs. We integrated population trajectory, GDP data, employment residential points interest, developed gravity model derive attractiveness index. Concurrently, we selected environmental, structure, housing economic indicators construct regression analysis. Our findings revealed that villagers exhibit preference shorter daily commutes, underscoring positive role UVs in promoting job-housing balance providing diverse services. The high-frequency mobility accelerates categorization enhances intra-area circulation. further interaction between UV renewal its destigmatization. To counter stigmatization, enhancing quality infrastructure UVs, as well diversified land use can reduce public's stereotypical impressions. Moreover, prioritizing affordable equitable distribution facilities, along with fostering synergies capital facilitate process. Stigmatization informal settlements is widespread issue. approaches, targeted renovation policy recommendations, serve blueprint addressing similar challenges globally.

Язык: Английский

Процитировано

8
How does the perception of informal green spaces in urban villages influence residents’ complaint Sentiments? a Machine learning analysis of Fuzhou City, China DOI Creative Commons
Zhengyan Chen,

Honghui Yang,

Peijin Ye

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112376 - 112376

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

6
Towards equal neighborhood evolution? A longitudinal study of soundscape and visual evolution and housing value fluctuations in shenzhen DOI Creative Commons
Jin Rui, Chenfan Cai, Yufei Wu

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122829 - 122829

Опубликована: Окт. 10, 2024

Язык: Английский

Процитировано

4
Urban green vitalization and its impact on green exposure equity: A case study of Shanghai city, China DOI

Hongkai Geng,

Tao Lin, Han Ji

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122889 - 122889

Опубликована: Окт. 15, 2024

Язык: Английский

Процитировано

4
Exploring the impact of seasonal forest landscapes on tourist emotions using Machine learning DOI Creative Commons
Zhengyan Chen,

Cuicui Ye,

Honghui Yang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 163, С. 112115 - 112115

Опубликована: Май 11, 2024

This study investigates the emotional changes of tourists experiencing natural forest landscapes in different seasons, which plays a crucial role sustainable development landscape systems and tourism. However, existing research has limited focus on temporal impact detailed elements tourists' emotions. We integrated framework utilizing methods such as Object Semantic Attention Network (OSANet), High-Resolution Net (Hrnet), EXtreme Gradient Boosting (XGBoost), SHapley Additive exPlanations (SHAP), thereby uncovering nonlinear indicators tourist The results revealed (1) In past three years, score assessments experiences showed prevalence positive emotions at 85.7%, with negative constituting 14.3%. distribution characteristics varied significantly across kernel density peak values 4.16 spring, 2.43 summer, 5.33 autumn, 1.74 winter. (2) most significant seasons were Openness autumn (with contribution exceeding 0.16, 0.13, 0.175, respectively) Ground exposure winter value greater than 0.2). SHAP waterfall charts indicated that providing stable effect by season Trees spring (0.361), summer (0.276 0.24, respectively), Mountains (0.145). provides data foundation for tourism, aiding planners managers understanding seasons. It also broadens methodologies perspectives researching seasonal preferences.

Язык: Английский

Процитировано

3
Research on the Coupling of Public Space Morphology and Summer Wind Environment in Qingdao’s Urban Villages DOI Creative Commons
Hui Fang,

Tongbo Yang,

Peng Dai

и другие.

Buildings, Год журнала: 2025, Номер 15(7), С. 1066 - 1066

Опубликована: Март 26, 2025

With the development of modern cities, people’s living environment requirements are constantly improving. Urban villages in Qingdao area, as a key area for urban renewal, affected by sea breeze and have warm humid climate summer, which, together with their problems irrational layout poor ventilation outdoor public space, seriously reduce quality space. In order to improve comfort village residents, this study uses CFD numerical simulation SPSS25 software analysis investigate coupled relationship between space morphology summer wind villages, derives range values indexes meet needs human comfort. The found following conclusions: a. average speed ratio is negatively correlated household profile density enclosure positively dispersion, degree influence > dispersion density. b. When less than 0.5328, 0.8228, 17.21, percentage zone increases significantly. renewal transformation should be based on interaction mechanism which provides reference basis improving spatial villages.

Язык: Английский

Процитировано

0