Village Network Centrality in Rural Tourism Destination:A Case from Yesanpo Tourism Area,China

With the development of rural tourism, the cooperation of villages has become very important.Identifying the status and importance of each village can contribute to better understanding of the integrated rural tourism management and sustainable rural tourism development. The research focused on 46 villages of Yesanpo scenic spot in China(39°35'-40°north latitude, and 115°16'- 115°30' east longitude). Integrating the method of Geographical Information System(GIS) and social network analysis, the spatial centrality and interrelation of each village in Yesanpo tourism destination were evaluated. The results showed that Xinggezhuang is the spatial core village of the whole 46 villages in Yesanpo tourism areas; Xinggezhuang, Nanzhuang, Zhenchang, Daze, Liujiahe and Zishikou are sub-core villages of the six tourism spots. Magezhuang, Ximagezhuang, Eyu, Zishikou, Daze, Shangzhuang, Zhenchang and Xiazhuang should be support of the core villages, which provide subsidiary services and connects with other nodes. The results also indicated that the study of the village centrality will contribute to build an integrated hierarchy structure and to provide sufficient basis for further development of rural tourism destination.     

Spatial Structure of Urban Residents' Leisure Activities: A Case Study of Shenyang,China

The spatial characteristics of residents' leisure activities not only reflect their demand for urban leisure space but also affect the urban spatial layout. This study takes Shenyang, China as an example and analyzes the characteristics of residents' leisure activities through questionnaires. On this basis, it uses point of interest data and mobile phone signaling data to identify various types of residential and leisure functional relationships, and uses spatial analysis and community detection to assess the distance characteristics, flow patterns, and community structure of residents' leisure activities, so as to discuss the spatial structure of residents' leisure activities in Shenyang. The results showed that: 1) in addition to leisure at home, Shenyang residents mainly went to shopping malls, supermarkets,and parks for leisure activities, and the proportions of residents of the two types of leisure activities were approximately equal; 2) the average distances that residents traveled for shopping and park leisure were near in the middle and far in the periphery, and the travel costs of peripheral residents for centrally located leisure were higher than those for residents in central areas; 3) the flow patterns of the residential-shopping and residential-park functional relationships displayed clustering mode characteristics, and Shenyang presented a significant monocentric structure; and 4) residents' shopping activities were concentrated in the southern community, and walking in the park activities were concentrated in the western community. Residents' leisure activities were characterized by centripetal agglomeration,which was prone to problems such as traffic congestion and big city diseases. The spatial expansion process in the city was characterized by obvious directional inheritance and path dependence, and the construction of sub-cities is needed to improve the related service facilities.     

游客对海岛旅游环境的感知研究——以东山岛为例

以我国东南沿海县级海岛东山岛为例,运用调查问卷与访谈的方法研究游客对东山岛旅游环境的感知,结果显示:游客对东山岛旅游环境总体感知一般;对海岛旅游自然环境、社会文化环境呈正面、积极感知,但对环境卫生、景区绿化、旅游从业人员文化水平、社会治安等持保留态度;对旅游经济环境正面感知不强;地方政府在环境保护和旅游规划方面应当更有所作为。     

旅游景点间细粒度语义交互作用挖掘及模式分析：以云南省为例

研究旅游景点语义交互及交互作用模式,对根据游客需求优化旅游格局有重要意义。现有语义交互挖掘方法忽略了文本中包含人感知信息的上下文词汇;此外,缺少以景点交互为单位分析交互作用模式的研究。为此,本文提出了一个景点间细粒度语义交互作用挖掘和模式分析框架。首先抽取文本中景点交互的语境;然后利用TF-IDF关键词抽取和语义网络分析方法,从讨论焦点和语义结构角度挖掘景点间细粒度的语义交互作用;最后结合Spearman秩相关系数、Graph Kernel图相似度度量方法和网络分析方法,分析语义交互作用模式。以云南省2018年游记数据进行实例分析,结果表明：① 利用本文提出的框架可以挖掘和分析各个景点间细粒度的语义交互作用,辅助有关部门结合游客意见提升旅游体验;可以分析语义交互作用模式,发现优化旅游格局的关键路线片段;② 苍山-洱海应着重提升自然风光体验;而大理古城-洱海应考虑改善游客对品牌旅游资源关注不足的问题;③ 云南省单核心集聚型、单核心辐射型、多区域合作型景点语义交互模式共存,呈现出点轴渐进扩散特征。可利用中介中心性较高且跨区域的景点交互,推动其他2种模式向多区域合作型转化,推进全域旅游战略实施。本文研究可为旅游路线推荐以及平衡旅游格局提供参考。     

Spatial Heterogeneity of Marine Environment Changes: A Case Study in Laizhou Bay and Its Adjacent Waters,China

Temporal and spatial heterogeneity identifications of marine environment and its changes have great significances in marine spatial planning and offshore pollution control.In this study,considering the integration of marine ecological environment and sea-land interaction,we built a spatialized evaluation model named Marine Environment Change Spatial Assessment(MECSA)to quantify the marine environment status and changes.In MECSA,we applied the geospatial model and the pressure-state-response(PSR)model for processing and integrating evaluation indicators.A case study in the Laizhou Bay showed that the marine environment quality was generally in a declining state from 2009 to 2015.In 2015,the Marine Environment Index(MEI)had decreased by 0.1 compared with 2009,although the two years all reached a‘Good'level.The spatial MEI layers of the two years showed a same distribution:the southwestern part was in poorer status,with a fan ring shape gradually getting better to the northeast.The Marine Organisms Response Index(MORI)contributed the most to the MEI.Therefore,future marine environmental assessment and spatial planning should focus on the identification the marine environment with its changes from the perspective of spatial heterogeneity and systemicity.Based on single indicators and comprehensive evaluation results,we can propose spatially targeted policies and recommendations scientifically.     

Spatial Characteristics and Influencing Factors of Urban Resilience from the Perspective of Daily Activity: A Case Study of Nanjing,China

Based on the connotation of urban resilience and the main contradictions of China’s urbanization, urban resilience is placed within the main daily activities contradictory scene of the urban man-land system to build a theoretical framework of urban activity resilience. Relying on geographic big data, this study identifies the spatial characteristics of activity resilience, reveals the impact of activity environment on activity resilience in Nanjing, and proposes countermeasures. The main conclus...     

不同空间权重定义下中国人口分布空间自相关特征分析

人口分布的研究对实现人口、环境、资源可持续管理具有深刻意义。相对于洛伦斯曲线、基尼系数等传统度量指标,运用空间自相关分析可以较好地表达人口分布的集聚现象,揭示人口格局的空间结构和空间相互作用。空间自相关测度的关键因素之一为空间权重矩阵。当前人口空间自相关特征测度多采用单一邻近关系定义空间权重矩阵,忽视了不同空间邻近关系对自相关特征分析结果的影响。本文根据距离阈值和邻接关系定义了八种空间权重,包括新定义的高铁两小时可达性空间权重。基于2010年《中国人口年鉴》统计资料,结合GeoDa软件测度了中国人口空间分布自相关特征并分析空间权重定义对自相关特征分析结果的影响。发现:(1)在不同空间邻近关系下,中国省域人口密度分布在全局自相关上均呈现空间正自相关,但其显著性水平有差异;(2)局部自相关分析结果Moran's I表现出明显的区域差异。     

Multi-scale Spatial Patterns and Influencing Factors of Rural Poverty: A Case Study in the Liupan Mountain Region,Gansu Province,China

The important role of spatial scale in exploring the geography of poverty as well as its policy implications has been noticed but with limited knowledge. To improve such limited understanding, we mainly investigated the spatial patterns and influencing factors of rural poverty (indicated by poor population and poverty incidence) at three different administrative levels in the Liupan Mountain Region, one of the fourteen poorest regions in China. Our results show that from a global perspective, poor areas are clustered significantly at the county-, township-, and village-level, and more greatly at a lower level. Locally, there is spatial mismatch among poverty hotspots detected not only by the same indicator at different levels but also by different indicators at the same level. A scale effect can be found in the influencing factors of rural poverty. That is, the number of significant factors increases, but the degree of their association with poverty incidence decreases at a lower level. Such scale effect indicates that poverty incidence at lower levels may be affected by more complex factors, including not only the new local ones but also the already appeared non-local ones at higher levels. However, the natural conditions tend to play a scale-independent role to poverty incidence. In response to such scale-dependent patterns and factors, anti-poverty policies can be 1) a multilevel monitoring system to reduce incomplete or even misleading single-level information and understanding; 2) the village-based targeting strategy to increase the targeting efficiency and alleviate the mentioned spatial mismatch; 3) more flexible strategies responding to the local impoverishing factors, and 4) different task emphasises for multilevel policymakers to achieve the common goal of poverty reduction.     

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha-Zhuzhou-Xiangtan City Group,China

Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy. Hence, a better understanding of the urban growth boundary(UGB) has profound theoretical and practical significance regarding sustainable urban development. This study devised a raster-based land use spatial optimization(LUSO) framework, and utilized ant colony optimization(ACO) algorithm to delimit the smart growth boundaries of the Changsha-Zhuzhou-Xiangtan city group(CZTCG) in China. The aim of this study is to design a LUSO model to explore an optimal pattern of urban agglomeration for sustainable growth. Multi growth scenario including a single development center, multipolar development and balanced development patterns are generated by the LUSO model for the year of 2050, and the optimum spatial pattern is chosen based on objectives comparison and the present stage of economic and social development in CZTCG. The main results are listed as the following. 1) It is feasible to identify the growth boundaries of the urban agglomeration using the land use spatial optimization model, and the optimal form of the spatial pattern can be defined. 2) With the growth trend of the urban agglomeration gradually spreads from a single center to multi-centers and even small towns, the total optimization target performance gradually increases, which means that the traditional pie-shaped development does not meet the maximum comprehensive benefit of the city group. 3) Subject to the regional social and economic development stage, absolute fair development or simply developing the central city is not conducive to promoting the coordinated development of the urban agglomeration. Gradient equalization and gradual advancement are the best choice for UGB delineation of urban agglomeration. The findings of this study would be useful to identify the UGB in CZTCG for more sustainable urban development in the future.     

基于空间抽样的区域地表覆盖遥感制图产品精度评估——以中国陕西省为例

地表覆盖数据是研究气候变化、生态环境、地理国情和人文经济等方面不可或缺的基础信息,因此其质量的优劣将直接影响相关决策的可靠性。本文针对我国研制的首套30 m分辨率全球地表覆盖数据产品,通过分析其海量、多维、非均质等空间特点,对传统的制图产品精度评估方法提出了改进：以地表类型进行分层抽样,样本量的计算采用优化模型并以地类所占面积比为权重逐层分配,样本的布设则考虑层内对象之间的空间相关性,在地表数据自然分布的基础上,通过分析空间相关性指数来提高样本的代表性和精度评估结果的可靠性。因此,本文提出针对区域地表覆盖遥感制图产品的空间分层抽样方法,其将精度评估分成抽样方案（样本的定量估计）和布设方案（样本的空间布设）2个部分,并以中国陕西省地表覆盖产品为例进行区域精度评估实验分析,从全区7大类地表类型数据中抽取1467个样本,经过样本检验与精度计算,该区域产品的总体精度为79.96%,Kappa系数为0.74。实验结果表明,本文提出的基于空间抽样的精度评估方法可行可靠,实验区域产品质量较好,并为后续针对全球范围的地表覆盖产品精度评估方法提供了参考。     

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying,China

As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms, cooperative innovation is now crucial for traditional industries in the context of globalization. This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries. Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City, China, this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns. Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding, while firms with inferior abilities usually cooperate with nearby fixed partners. Due to the differences in innovation environment and actor locations, firms tend to make different choices regarding innovation types and models, which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale. Additionally, talent flow is the most important way to realize relationships for firm innovation activity.     

Seasonal and Spatial Variability of Water Quality and Nutrient Removal Efficiency of Restored Wetland: A Case Study in Fujin National Wetland Park,China

To investigate the spatio-temporal and compositional variation of selected water quality parameters and understand the purifying effects of wetland in Fujin National Wetland Park(FNWP), China, the trophic level index(TLI), paired samples t-test and correlation analysis were used for the statistical analysis of a set of 10 water quality parameters. The analyses were based on water samples collected from 22 stations in FNWP between 2014 and 2016. Results initially reveal that total nitrogen(TN) concentrations are above class V levels(2 mg/L), total phosphorus(TP) concentrations are below class Ⅲ levels(0.2 mg/L), and that all other parameters fall within standard ranges. Highest values for TN, pH, and Chlorophyll-a were recorded in 2016, while the levels of chemical oxygen demand(COD_(Mn)) and biochemical oxygen demand(BOD5) were lowest during this year. Similarly, TN values were highest between 2014 and 2016 while dissolved oxygen(DO) concentrations were lowest in the summer and TP concentrations were highest in the autumn. Significant variations were also found in Secchi depth(SD), TN, CODMn(P 0.01), TP, and DO levels(P 0.05) between the inlet and outlet of the park. High-to-low levels of TN, TP, and TDS were found in cattails, reeds, and open water(the opposite trend was seen in SD levels). Tested wetland water had a light eutrophication status in most cases and TN and TP removal rates were between 7.54%–84.36% and 37.50%–70.83%, respectively. Data also show no significant annual changes in water quality within this wetland, although obvious affects from surrounding agricultural drainage were nevertheless recorded. Results reveal a high major nutrient removal efficiency(N and P). The upper limits of these phenomena should be addressed in future research alongside a more efficient and scientific agricultural layout for the regions in and around the FNWP.     

Comprehensive Assessment of Urbanization Coordination:A Case Study of Jiangxi Province,China

In order to make assessment on urbanization coordination, we developed a comprehensive model by integrating entropy weight method(EWM), coupling degree model(CDM), coupling coordination degree model(CCDM), multi-index grading method(MIGM) and Remote Sensing Geographic Information System(RS GIS) technology. Then we applied this integrated model to a case study in Jiangxi Province, China. Our study finds that: 1) EWM, CDM and CCDM can evaluate the temporal dynamic of urbanization. Urbanization process of Jiangxi Province can be divided into three periods, the stable development period(1990–2001), the accelerated development period(2002–2009) and the rapid development period(2010–2015). Coordinated development of urbanization in Jiangxi Province can be divided into two phases, an increasingly coordinated phase(1990–2003) and an increasingly incongruous phase(2003–2015). The state transition was due to low development rate of population urbanization. 2) RS GIS technology is an effective tool for detecting urban growth. Urban construction land area of Jiangxi Province increased from 615.8 km~2 in 1990 to 2896.8 km~2 in2015, and the per capita urban construction land area(PCUCLA) reached 122.9 m~2, with the maximum value of 343 m~2 in Gongqingcheng City. 3) MIGM and RS GIS technology can analyze spatial difference of urbanization. There is a significant spatial difference in socioeconomic development at county scale, with the maximum value six times the minimum value for both PCUCLA and per capita GDP in 2015. Population urbanization lag and excessive land use are the main reasons for uncoordinated urbanization. There were 15 counties with a lag in demographic urbanization and 33 counties where PCUCLA exceeded the national standard in 2015, among which 20 exceeded the national standard of PCUCLA by 50%(≥165 m~2). Since there are significant spatio-temporal differences in urbanization, it is necessary to carry out a comprehensive assessment to facilitate differential urbanization strategy making.     

四川省旅游景区空间分布差异研究

以四川省为研究区域,利用数理统计方法及GIS技术,采用资源丰裕度指数、变异系数、均衡度指数及均衡比系数,对A级旅游景区空间分布差异进行测度。结果表明：整体层面,旅游景区空间分布均衡程度由大到小依次是5A级景区、4A级景区、3A级景区、所有景区、2A级景区;市际层面,各州市旅游景区空间分布差异较大,旅游景区分布最多、丰裕度最高的是成都;四类均衡比系数显示,交通均衡比系数较小,其次是经济均衡比,表明交通和经济因素对四川省旅游景区空间分布影响最大,经济越发达,交通越通达,旅游景区空间分布越均衡;在此差异测算基础上,提出四川省旅游景区空间布局优化建议。     

土地利用格局空间关联分析--以浙江省桐庐县为例

空间关联是地理空间现象和空间过程的本质特征。土地利用数据存在空间依赖关系,研究土地利用空间关联特征,对于理解区域土地利用格局的形成具有重要意义,也可为加强土地规划管理和促进土地可持续发展提供参考依据。本文以浙江省桐庐县为研究区,以空间统计学理论为支撑,结合GIS技术方法,通过构建距离标准和邻接标准的空间权重矩阵,从全局空间自相关和基于空间不平稳性的局部空间自相关两个角度对桐庐县土地利用格局进行多尺度空间关联分析。结果表明,桐庐县各种土地利用类型均存在不同程度的空间自相关性,且空间自相关性与空间尺度密切相关,同时,桐庐县土地利用表现出空间不平稳性,既有局部的空间集聚,也因存在少量空间异质性而呈现局部离散格局。     

山西省传统村落空间特性研究

以住建部公布的山西省传统村落为研究对象,使用ArcGIS软件,利用核密度分析、方向分布分析、空间相关性分析等空间分析方法,分析山西省传统村落在空间上的分布特征与影响因素。通过建立村落基础数据库,试图提取传统村落空间分布特点,对今后的传统村落遴选、保护和规划工作提供帮助。经过分析,可以得出:①山西省传统村落呈聚集形态,不同市中传统村落的数量差距显著;②主要以东北西南的方向分布在阳泉、晋城、晋中;③山西省传统村落的分布主要受到地形与水文条件的影响,交通路网密度与社会经济对传统村落的影响不明显。     

Urban Expansion in Major Grain Producing Area from 1978 to 2017: A Case Study of Zhengzhou Metropolitan Area,China

The spatial form of urbanization in China has developed from single-core city expansion to a multi-center metropolitan area.However, little attention has been paid to the growth process of the emerging metropolitan area situated in major grain producing locations in the central China. Taking the Zhengzhou metropolitan area(ZZMA) as a case study, we developed an inverse S-shape model to characterize the spatial distribution of urban land density, and constructed an urban expansion core index, urb...     

山地灾害致贫风险初步分析————以湖北省恩施州为例

中国的贫困地区主要分布在山区,山地灾害的多发,易发在某种程度上成为制约贫困地区经济发展的因素之一.目前,山地灾害的研究集中于动力学研究,缺乏风险尤其是灾害致使贫困风险的研究.本文对山地灾害特有灾害与一般地质灾害的概念进行了区分;根据贫困的内涵与可量测性,定义了山地灾害的贫困脆弱性及山地灾害致贫风险;以贫困脆弱性分布和灾害危险性分布,构建区域山地灾害致贫风险评价模型,并基于此模型对少数民族特困地区--湖北省恩施土家族苗族自治州(简称恩施州)进行应用研究.在示例分析中,首先利用确定性系数模型和频率比例法对山地灾害的危险性进行了评价;然后,从暴露性和应对能力2个方面选取了经济,社会及自然指标,以进行脆弱性评价;最后,利用通用灾害风险评价公式对研究区由于山地灾害导致的贫困风险在空间的分布进行评价,得到了研究区的山地灾害致贫风险分布与分级图.