作者机构：
School of Resources and Environment, Anqing Normal University, Anqing, Anhui 246011, China;First author: ZHU Lei, E-mail: aqdxzl@126.com;School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;[ZHU Lei] School of Resources and Environment, Anqing Normal University, Anqing, Anhui 246011, China <&wdkj&>First author: ZHU Lei, E-mail: aqdxzl@126.com ;[HU Jing] School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
通讯机构：
[Zhu Lei; Hu Jing] S;School of Resources and Environment, Anqing Normal University, Anqing, Anhui 246011, China <&wdkj&>First author: ZHU Lei, E-mail: aqdxzl@126.com <&wdkj&>School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
关键词：
China;educational tourism resources;influencing factors;temporal and spatial evolution
期刊：
Australian Geographer,2024年55(2):157-177 ISSN：0004-9182
通讯作者：
Tian, XB
作者机构：
[Tian, Xiaobo] Lanzhou Univ Arts & Sci, Tourism Coll, Lanzhou, Peoples R China.;[Tian, Xiaobo] Lanzhou Univ Arts & Sci, Inst High Qual Dev Culture & Tourism Ind, Lanzhou, Peoples R China.;[Hu, Jing] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Tian, Xiaobo] 400 Yanbei Rd, Lanzhou, Gansu, Peoples R China.
关键词：
Hotel location satisfaction;spatial differentiation;influencing factors;Wuhan;spatial patterns;spatial statistical analysis
摘要：
Customers' hotel location evaluations are critical to hotel location decisions, future investment, visitor experience and urban tourism development. In this paper, spatial autocorrelation analysis, GeoDetection and geographically weighted models are used to explore the characteristics of the location satisfaction pattern of 1126 hotels in Wuhan and its causes.The findings suggest that there are obvious spatial clustering distribution characteristics of hotel location satisfaction in Wuhan. Distance from highway entrances/exit, scenic spot accessibility, and free parking services have the strongest positive influence on the spatial differentiation pattern of hotel location satisfaction, while hotel transportation services, the percentage of water area, and the number of universities have significant spatial differentiation characteristics on the influence of hotel location satisfaction. This study contributes to a better understanding of hotel location satisfaction pattern and its causes through multi-source data and spatial analysis techniques. The results of the study are of practical significance to the planning and development of urban hotels in Wuhan, as well as to other cities similar to Wuhan in terms of city scale, spatial layout of hotels, and tourism development.
作者机构：
[Zhu, Lei; Li, Yannan; Xie, Tiantian; Xu, Jiahui; Liang, Mangmang] Anqing Normal Univ, Sch Resources & Environm, Anqing, Peoples R China.;[Hu, Jing; Xu, Jiahui] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
通讯机构：
[Hu, J ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
摘要：
Agritainment is one of the essential aspects of rural tourism and plays an important role in the economic transformation and revitalization of rural areas. Taking 9200 agritainment resorts in China as a research object, this paper systematically uses geospatial analysis methods to analyze their spatial distribution patterns and influencing mechanisms. The results indicate: (1) All types of agritainment have a condensed distribution in space and are oriented in the northeast-southwest direction, with a central axis generally located in the Beijing-Zhengzhou-Wuhan line. (2) The distribution of agritainment is uneven across different spatial scales, and there are high-density clusters in the Beijing-Tianjin-Hebei region, the Yangtze River Delta, and the Sichuan-Chongqing region as the core, and sub-high-density distribution areas in the Shaanxi-Gansu-Ningxia border, the southern coastal region, and the Xiangan-Jiang-Hubei border, manifesting prominent spatial distribution characteristics of large agglomeration and low dispersion. (3) Agritainment has a significant positive spatial autocorrelation. The Matthew effect is highly significant in space. The distribution of cold hot spots in the agritainment space shows a distribution pattern of "hot in the south and cold in the north." (4) The spatial distribution of agritainment is influenced by human factors such as society, economy, and the tourism industry as well as natural factors such as terrain, water systems, and climate. The intensity of influence of first-level human factors on the spatial distribution of agritainment ranks as follows: tourism industry factors (0.69) > social factors (0.37) > economic factors (0.30). The natural distribution of agritainment tends to be in humid plain and hilly areas with an altitude below 1000 m and annual precipitation above 800 mm. Agritainment is mainly distributed in the subtropical monsoon climate area adjacent to rivers. The research findings offer valuable insights for optimizing the spatial distribution pattern of agritainment in China, promoting the high-quality development of agritainment, and the sustainable development of rural tourism.
期刊：
Journal for Nature Conservation,2024年79:126563 ISSN：1617-1381
通讯作者：
Hu, J
作者机构：
[Hu, Jing; Deng, Huangting; Hu, J] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;[Hu, Jing; Hu, J] China Tourism Acad, Wuhan Branch, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Hu, J ] C;Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.;China Tourism Acad, Wuhan Branch, Wuhan 430079, Hubei, Peoples R China.
关键词：
Resource-based cities;Ecological civilization construction;Tourism development;Coupling and coordination;Obstacle degree
摘要：
Resource-based cities are an important concern for the construction of ecological civilization in China, and developing tourism is an important direction for the transformation of resource-based cities. Based on the mechanism of the coupling and coordination effect of ecological civilization construction and tourism development, four different types of resource-based cities in China, Wuwei City (growing type), Pingliang City (mature type), Baiyin City (declining type) and Zhangye City (regenerative type), were selected as the research area. Based on the improved entropy weight method, coupling coordination model and obstacle model, the evaluation index system of ecological civilization construction and tourism development in resource-based cities was constructed, and its coupling development status and obstacle factors were analyzed. According to the results: (1) From 2013 to 2020, the comprehensive scores of ecological civilization construction of four different types of resource-based cities were higher than that of tourism development. They were divided into two gradients according to the comprehensive score of ecological civilization construction. The first gradient was the regeneration and maturity of resource-based cities, while the other gradient was growth and decline of resource-based cities. The comprehensive score of tourism development of four resource-based cities were regeneration, maturity, growth and decline in turn. (2) The coupling degree between regenerative and mature resource-based cities was the best. All of them were in the period of coordinated coupling during the study period, and the coupling degree tended to 1. (3) The regenerative resource city had the highest degree of coupling and coordination between the two systems, followed by mature, growing and finally declining type. (4) Among growing, mature, and declining resource-based cities, the obstacle degree of the tourism development system layer was always higher than that of the ecological civilization construction system layer, while the result was the opposite for regenerative resource-based cities.
作者机构：
华中师范大学城市与环境科学学院,湖北 武汉 430079;中国旅游研究院武汉分院,湖北 武汉 430079;山西财经大学文化旅游学院,山西 太原 030031;安庆师范大学资源环境学院,安徽 安庆 246133;[朱磊] College of Resources and Environment, Anqing Normal University, Anhui, Anqing, 246133, China
通讯机构：
[Hu, J.] C;College of Urban and Environmental Science, Hubei, China
作者机构：
[徐佳慧; 卿琪; 李燕楠] College of Resources and Environment, Anqing Normal University, Anhui, Anqing, 246133, China;[田小波] College of Urban and Environmental Science, Central China Normal University, Hubei, Wuhan, 430079, China;Wuhan Branch of China Tourism Academy, Hubei, Wuhan, 430079, China;[胡静] College of Urban and Environmental Science, Central China Normal University, Hubei, Wuhan, 430079, China, Wuhan Branch of China Tourism Academy, Hubei, Wuhan, 430079, China;[朱磊] College of Resources and Environment, Anqing Normal University, Anhui, Anqing, 246133, China, College of Urban and Environmental Science, Central China Normal University, Hubei, Wuhan, 430079, China, Wuhan Branch of China Tourism Academy, Hubei, Wuhan, 430079, China
通讯机构：
[Hu, J.] C;College of Urban and Environmental Science, Hubei, China
关键词：
agricultural production potential;cropland change;cropland quality;Hubei Province;RCBF policy
摘要：
<jats:title>Abstract</jats:title><jats:p>Cropland quantity and quality are two important indicators for determining agricultural production. However, few studies integrate them at the pixel level for a comprehensive assessment of food production potential. Consequently, it is hard to evaluate the implementation effectiveness of China's Requisition–Compensation Balance of Farmland (RCBF) policy, which requires balances in cropland quality and quantity for land exploitation. Here, we presented a novel framework to assess the impacts of cropland change on food production potential by combining cropland quantity and quality from pixel to county level. The cropland quantity was defined as cropland gain or loss calculated by 30‐m land cover datasets, while cropland quality was characterized by the integration of climate, terrain, and soil factors using a fuzzy comprehensive evaluation method. Then, nine distinct patterns, reflecting the interdependence between changed cropland area and production potential, were identified to represent the implementation effectiveness of RCBF policy for each county. Results showed cropland area decreased by 1.85% during 2005–2015 in Hubei Province, which mainly occurred in regions with moisture climate and very flat terrain. A majority of croplands with the best soil fertility remained relatively stable during this period. The pattern “more occupation than compensation” was the dominant way of implementing RCBF in Hubei. Four counties positively responded to RCBF, for which the compensatory croplands had superior quality than occupied croplands. This study presented an efficient way to evaluate the impacts of cropland change on agricultural production potential, which provides valuable insights for researchers and decision‐makers to strengthen practices and improve policies for land reclamation and consolidation.</jats:p>
作者机构：
[周葆华; 李燕楠] College of Resources and Environment, Anqing Normal University, Anhui, Anqing, 246133, China;College of Urban and Environmental Science, Central China Normal University, Hubei, Wuhan, 430079, China;Wuhan Branch of China Tourism Academy, Hubei, Wuhan, 430079, China;[贾垚焱] Faculty of Culture Tourism, Shanxi University of Finance and Economics, Shanxi, Taiyuan, 030031, China;[胡静] College of Urban and Environmental Science, Central China Normal University, Hubei, Wuhan, 430079, China, Wuhan Branch of China Tourism Academy, Hubei, Wuhan, 430079, China
通讯机构：
[Hu, J.] C;College of Urban and Environmental Science, Hubei, China
作者机构：
[Zhu, Lei; Li, Yannan; Xu, Jiahui; Liang, Mangmang] Anqing Normal Univ, Coll Resources & Environm, Anqing 246011, Peoples R China.;[Hu, Jing] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Jing Hu] C;College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
rural tourism;pro-poor tourism villages;spatial distribution characteristics;geographic detector
摘要：
<jats:p>This paper aims to contribute to the effectiveness of pro-poor tourism in rural areas. We use 5770 pro-poor tourism villages in China as the research objects; the spatial distribution characteristics of pro-poor tourism villages in China are analyzed using a combination of disequilibrium index, kernel density analysis, and spatial autocorrelation; their influencing factors are detected using a geographical detector and overlay analysis. The study results show the following: (1) The distribution of pro-poor tourism villages is exceptionally uneven in three zones, eight regions, and inter-provincial levels, forming a high-density cluster belt that includes Hebei, Henan, Anhui, and Hubei, and five high-density cluster cores that include southern Gansu, Sichuan–Gansu–Shaanxi border area; Guizhou, Hunan, and Chongqing border area; southern Sichuan; and southwest Guizhou. (2) Regarding spatial correlations, the pro-poor tourism villages in central and western regions are in hot spots, while those in eastern regions are in cold spots. The hot spots gradually increase, while cold spots gradually decrease, and the clustering trend of the distribution of the pro-poor tourism villages is increasingly apparent. (3) Pro-poor tourism villages are affected by social, economic, industrial, and other human factors as well as natural geographical factors such as terrain, precipitation, river, and climate, among which the industrial factors have a more significant impact. Pro-poor tourism villages are concentrated in humid mountainous areas with an altitude of about 1000 m and an annual precipitation of more than 800 mm, and they are mostly distributed in the subtropical monsoon climate zone closer to the river and more suitable climate. (4) It is suggested that pro-poor tourism villages can be divided into four types: the resource underutilization type, mountain environment restriction type, traffic location non-optimization type, and industrial development lagging type, and the sustainable development strategies of different types of pro-poor tourism villages are proposed.</jats:p>
作者机构：
[唐明贵; 胡静; 汤慧] School of Urban and Environmental Science, Central China Normal University, Wuhan Branch of China Tourism Academy, Wuhan;430079, China;[沈晓夏; 陈娴] School of Tourism Management, Guizhou University of Commerce, Guiyang;550014, China;[唐明贵] 430079, China <&wdkj&> School of Tourism Management, Guizhou University of Commerce, Guiyang
