摘要：
INTRODUCTION: University campuses, with their abundant natural resources and sports facilities, are essential in promoting walking activities among students, faculty, and nearby communities. However, the mechanisms through which campus environments influence walking activities remain insufficiently understood. This study examines universities in Wuhan, China, using crowdsourced data and machine learning methods to analyze the nonlinear and interactive effects of campus built environments on exercise walking. METHODS: This study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. By applying the XGBoost algorithm and SHAP (SHapley Additive exPlanations), an explainable machine learning framework was established to evaluate the importance of various factors, explore the nonlinear relationships between variables and walking activity, and analyze the interaction effects among these variables. RESULTS: The findings underscore the significant impact of several key factors, including the proportion of sports land, proximity to water bodies, and Normalized Difference Vegetation Index NDVI, alongside the notable influence of six distinct campus area types. The analysis of nonlinear effects revealed distinct thresholds and patterns of influence that differ from other urban environments, with some variables exhibiting fluctuated or U-shaped effects. Additionally, strong interactions were identified among variable combinations, highlighting the synergistic impact of elements like sports facilities, green spaces, and waterfront areas when strategically integrated. CONCLUSION: This research contributes to the understanding of how campus built environments affect walking activities, offering targeted recommendations for campus planning and design. Recommendations include optimizing the spatial configuration of sports facilities, green spaces, and water bodies to maximize their synergistic impacts on walking activity. These insights can foster the development of inclusive, health-promoting, and sustainable campuses.
作者机构：
[Luo, Qiao; Yu, Hongbing] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Luo, Qiao; Yu, Hongbing] Hunan City Univ, Coll Architecture & Urban Planning, Lab Key Technol Digital Urban Rural Spatial Planni, Yiyang 413000, Peoples R China.;[Li, Yong] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China.;[Jiang, Shufang; Cao, Xueyou] Forestry Bur Yiyang City, Yiyang 410004, Peoples R China.
通讯机构：
[Li, Y ] C;Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atmo, Beijing 100029, Peoples R China.
关键词：
South Dongting Lake Nature Reserve;blue space;green space;precipitation;air temperature
摘要：
<jats:p>In recent years, the water level of the Dongting Lake (DTL) has been continuously low, and the wetland area and landscape pattern have changed significantly. Considering the obvious spatial heterogeneity of water regime changes in different waters of the DTL, this paper takes two core areas of the South Dongting Lake Nature Reserve (SDLNR) as study areas and analyzes the spatial distribution characteristics of the wetland blue–green landscape patterns by using remote sensing image data and hydrological and meteorological data. The multi-scale correlation between runoff, precipitation, temperature, and evapotranspiration in the SDLNR was studied via cross-wavelet transform analysis. The results show the following: (1) The change in the blue–green spatial patterns in different regions in different periods is inconsistent, and this inconsistency is related to the topography, climate, and human activities in each region; (2) there are seasonal fluctuations in precipitation, air temperature, and evapotranspiration in the SDLNR. Among them, the annual mean temperature shows a rising trend and passes the significance test with 95% confidence, while the annual mean precipitation and annual mean evapotranspiration show no significant change trend; and (3) our Pearson correlation analysis and cross-wavelet change results show that precipitation and temperature are strongly correlated with runoff, with a resonance period of 8–16 months, while the correlation between evapotranspiration and runoff is not significant. We recommend that policymakers establish an effective early warning system and make plans to store water through micro-terrain transformation in possible climate change treatments and strategies.</jats:p>
期刊：
Frontiers in Public Health,2024年12:1376518 ISSN：2296-2565
通讯作者：
Ao, RJ
作者机构：
[Tang, Hui] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang, Hunan, Peoples R China.;[Tang, Hui; Ao, Rongjun] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.;[Tang, Hui] Key Lab Key Technol Digital Urban Rural Spatial Pl, Yiyang, Hunan, Peoples R China.;[Li, Yilei] Hunan Univ Technol, Coll Urban & Environm Sci, Zhuzhou, Peoples R China.
通讯机构：
[Ao, RJ ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Hubei, Peoples R China.
关键词：
China;health productivity of health resources;influencing factors;prefecture-level regions;spatial and temporal patterns
摘要：
There is always a contradiction between the limited health resources and the unlimited demand of the population for health services, and only by improving the productivity of health resources can the health level of the population be improved as much as possible. Using prefecture-level administrative regions as spatial units, the paper analyzes the spatial pattern and changes of health productivity of health resources in China from 2000 to 2010, and uses a spatial panel Tobit model to examine the effects of factors such as technical level of health institutions, health service accessibility, public health policies and ecological environment quality on health productivity of health resources. The results show that with the Hu Huanyong line as the dividing line, the spatial heterogeneity of "high in the southeast and low in the northwest" in the health productivity of China's health resources is clear; as the regional differences narrow, the spatial correlation increases, and the spatial pattern of "overall dispersion and partial agglomeration" becomes more obvious. The fitting results of the spatial Durbin model reveal the direction and degree of influence of local and adjacent factors on the production efficiency of health resources. The positive influence of technical level of local health institutions and the accessibility of health services, the literacy level and the ability to pay for health services of residents in adjacent areas, the degree of urbanization of regional health resource allocation, climate suitability and the quality of the atmospheric environment are significant. And the negative influence of local residents' literacy and ability to pay for health services, the technical level of health institutions in adjacent areas and the degree of medicalization of health resource allocation are also significant. The influence of the degree of medicalization of local health resource allocation and the accessibility of health services in adjacent areas are significantly spatial-heterogeneous.
期刊：
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER,2024年177(3):130-143 ISSN：0965-0903
作者机构：
Department Chair of Urban Design, School of Architecture and Urban Planning, Hunan City University, Yiyang, China;Hunan Provincial Key Laboratory of Urban Planning Information Technology, Yiyang, China (corresponding author: yuchenhu@yandex.com );Professor, School of Architecture and Planning, Hunan University, Changsha, China;PhD student, School of Architecture and Planning, Hunan University, Changsha, China;Lecturer, College of Humanities, Hunan City University, Yiyang, Hunan, China
摘要：
In response to elevated living standards and evolving recreational values, public sports facilities have become a focal point. This study, targeting the central districts of Yiyang City across 17 neighborhoods, integrates questionnaire surveys, in-depth interviews, and geographic information system analysis to address the diversified needs in sports infrastructure. It reveals a discrepancy characterised by uniform facility types and flawed layouts, notably in Heshan and Ziyang, that fail to satisfy the diversified demands of residents. Consequently, the research introduces a bottom-up strategy, emphasising the need for facility selections and spatial layouts informed by community needs. Furthermore, it highlights the importance of demographic factors such as age, income, and education in guiding facility placement strategies to accommodate a broad spectrum of users. By doing so, the study contributes a novel, resident-focused framework to the discourse on public sports facilities, promoting sustainable and inclusive urban sports environment development.
In response to elevated living standards and evolving recreational values, public sports facilities have become a focal point. This study, targeting the central districts of Yiyang City across 17 neighborhoods, integrates questionnaire surveys, in-depth interviews, and geographic information system analysis to address the diversified needs in sports infrastructure. It reveals a discrepancy characterised by uniform facility types and flawed layouts, notably in Heshan and Ziyang, that fail to satisfy the diversified demands of residents. Consequently, the research introduces a bottom-up strategy, emphasising the need for facility selections and spatial layouts informed by community needs. Furthermore, it highlights the importance of demographic factors such as age, income, and education in guiding facility placement strategies to accommodate a broad spectrum of users. By doing so, the study contributes a novel, resident-focused framework to the discourse on public sports facilities, promoting sustainable and inclusive urban sports environment development.
关键词：
landscape architecture;experiential learning education;cultural services;rural cultural revitalization;rural landscape planning
摘要：
Culture is never static. In modern society, Chinese rural areas are constantly intertwined and dislocated in the processes of traditional culture and modern civilization, involving the equitable and mutually beneficial relationship between people and natural resources and the reconstruction of regional cultural genres in specific periods. The rural humanities and natural resources are important carriers of cultural services. Therefore, research on experiential learning education is important for realizing local cultural revitalization. The efforts of revitalization and renewal of cultural services in rural ecosystems can not only inherit traditional culture, but also promote ecological protection, enhance villagers’ scientific literacy, and realize a harmony between humans and nature. This paper takes Daheping Village in the Hunan Province as an example, combining the ideas of natural education and landscape thinking to explore new ways to activate and enhance the value of rural cultural services from the perspectives of cultural connotations, spatial patterns, basic facilities, and route design. This study provides a new practical guidance paradigm for rural cultural revitalization and future human settlement improvement.
期刊：
Stochastic Environmental Research and Risk Assessment,2024年38(7):2563-2579 ISSN：1436-3240
通讯作者：
Isik, C
作者机构：
[Long, Tianxiang] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Cui, Xiangying] Hong Kong Univ Sci & Technol, Hong Kong 999077, Peoples R China.;[Yan, Jiale] Irvine Valley Coll, Irvine, CA 92618 USA.;[Isik, Cem; Isik, C] Anadolu Univ, Fac Econ & Adm Sci, Dept Econ, Eskisehir, Turkiye.;[Isik, Cem; Irfan, Muhammad; Isik, C] Lebanese Amer Univ, Adnan Kassar Sch Business, Byblos, Lebanon.
摘要：
<jats:title>Abstract</jats:title><jats:p>Increased risks of economic policy uncertainty and overexploitation of natural resources exist in China. At the same time, the growth rate of urban residents’ consumption has generally declined. The paper analyses the role of economic policy uncertainty (EPU) and natural resource exploitation on the urban residents’ consumption in China. Based on the data from the first quarter of 2002 to the third quarter of 2021, the paper uses a nonlinear autoregressive distributed lag model to verify the asymmetric effects. Then the paper constructs a time-varying parameter vector autoregressive model with stochastic volatility term to analyze the nonlinear responses. Impulse response analysis was used to further explain the relationship between the three. The negative impact of rising EPU on urban residents’ consumption is larger than its reduction. Negative shocks to natural resource development increase the urban residents’ consumption. Positive shocks reduce the urban residents’ consumption. There is a time-varying non-linear effect of EPU and natural resource development on urban residents’ consumption in China. The negative impact of EPU on urban consumption has been further exacerbated by major crises such as the financial crisis, COVID-19 and the post-crisis period. The negative impact of natural resource development diminished after the government introduced industrial upgrading policies and environmental regulations. This study provides constructive suggestions for the optimization of economic policies and the improvement of urban consumption. This study also enriches consumer theory and provides new evidence for the resource curse hypothesis.</jats:p>
摘要：
The World Health Organization (WHO) articulated a vision in 1986, hoping that countries around the world would actively promote the construction and development of healthy cities. In the context of China, a paradigm shift in urban development has been triggered by the deep implementation of the Healthy China Strategy and the gradual completion of the comprehensive national spatial planning. This shift emphasizes a micro-level focus, advocating a human-centered approach to urban space exploration. In this paper, the Dingwangtai Area of Changsha City is selected as a case study. A street space health evaluation index system called “5D+” is constructed from six dimensions, namely, human perception, degree of mixing, density, distance to transit, destination accessibility, and devise. This research adopts the community as the fundamental unit of analysis, employing the Entropy-weighting TOPSIS method for the computation of indicators. The results of this study show that the Dingwangtai Area exhibits relative deficiencies in the dimensions of density, devise, and destination accessibility. Specifically, at the community level, the Ma Wang Street Community and the Fanhou Street Community have scored particularly low. In response, this paper proposes targeted measures and detailed recommendations aimed at optimizing the design of the street, enhancing the human experience, enriching functional attributes, and refining the street network. The ultimate goal is to propose a Healthy Streets Evaluation Index System based on the concept of a healthy city and to explore its relationship with healthy streets so as to provide valuable insights for the development of healthy city streets.
