近20a来巢湖流域生态服务价值空间分异机制的地理探测

生态系统服务功能是生态系统和生态过程形成和维持的自然环境条件及作用。基于1995—2017年遥感分类数据,对研究区按3 km×3 km幅度网格化2019个样方,利用空间统计和缓冲区等方法进行巢湖流域生态服务价值时空演变特征分析,应用地理探测器工具揭示生态服务价值空间分异的主导因子及因子交互作用机制,并提出生态服务价值空间优化策略。结果表明：① 巢湖流域生态服务价值量由1995年的303.17亿元分别下降为2005年300.95亿元和2017年287.70亿元,近20a来减少约5.11%,年均下降率0.23%,其中合肥市区、巢湖南部和东部地区降速明显;② 生态服务价值等级空间转移分析表明,巢湖流域低级别生态服务价值区域在扩展,中等及高级别区域在缩小。以巢湖为核心的缓冲区分析表明,20a来缓冲区核心环带内生态服务价值量下降18.55%,巢湖流域水环境保护核心区的生态系统功能变化值得关注;③ 地理探测分析表明,人为影响综合指数是生态服务价值空间分异的主导因子;地形、气象因素是重要影响因子;人为影响指数因子、自然因子及社会经济因子的交互协同增强效应共同影响了流域生态服务价值在空间上的分异效果。研究结果在一定程度上可为巢湖流域生态系统调控与优化提供理论依据。     

Evolution and driving forces of rural functions in urban agglomeration: A case study of the Chang-Zhu-Tan region

Journal of Geographical Sciences - As the Rural Revitalization Strategy is gradually implemented, China’s rural areas are set to have more diverse function requirements. This paper selects...     

Location choices of Chinese enterprises in Southeast Asia: The role of overseas Chinese networks

Journal of Geographical Sciences - With the implementation of the “Going out” strategy and the Belt and Road Initiative, China’s investments have become increasingly influential...     

Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement

The population distribution grid at fine scales better reflects the distribution of residents and plays an important role in investigating urban systems. The recent years have witnessed a growing trend of applying the nighttime light data to the estimation of population at micro levels. However, using the nighttime light data alone to estimate population may cause the overestimation problem due to excessively high light radiance in specific types of areas such as commercial zones and transportation hubs. In dealing with this issue, this study used taxi trajectory data that delineate people’s movements, and explored the utility of integrating the nighttime light and taxi trajectory data in the estimation of population in Shanghai at the spatial resolution of 500 m. First, the initial population distribution grid was generated based on the NPP-VIIRS nighttime light data. Then, a calibration grid was created with taxi trajectory data, whereby the initial population grid was optimized. The accuracy of the resultant population grid was assessed by comparing it with the refined survey data. The result indicates that the final population distribution grid performed better than the initial population grid, which reflects the effectiveness of the proposed calibration process.     

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.     

基于功能视角的广州都市边缘区乡村发展类型分化及其动力机制

基于村庄规划详细调查数据库,采用空间集中度和功能识别等方法,深度剖析广州都市边缘区村域尺度乡村发展的类型分化及其动力机制.结果 表明:①广州都市边缘区村域乡村功能的空间梯度差异特征明显.乡村经济发展功能和社会保障功能呈现出由城区向城郊逐渐减弱的分异特征,农业生产功能和生态保育功能则由城区向城郊逐渐增强态势.以乡村主导功...     

转型期上海社会空间分异研究

采用2000年第五次全国人口普查数据库中居民委员会尺度的数据,对转型期上海城市空间重构与分异展开研究。存在6类社会区：计划经济时代建设的工人居住区、外来人口集中居住区、白领集中居住区、农民居住区、新建普通住宅居住区、离退休人员集中居住区。通过计算分异指数,发现当前上海存在严重的住房分异;但并不存在明显的以社会经济属性为基础的社会空间分异。造成这一现象的原因在于计划经济时代的历史以及仍然存在的大型企事业单位对住房的影响。中国城市目前的社会空间分异在程度上与西方城市还有根本的差异。     

北京市蔬菜和菜地土壤砷含量及其健康风险分析

通过对北京市蔬菜和菜地土壤砷含量状况进行大规模调查,研究了蔬菜和土壤砷含量及其健康风险,并筛选出抗砷污染能力强的蔬菜品种。根据蔬菜的消费量并兼顾品种多样性的原则,在北京市规模化蔬菜栽培基地 (采集蔬菜及土壤样品) 和蔬菜批发市场 (蔬菜样品) 共采集93种蔬菜400多份蔬菜样品和39个土壤样品系统地分析其砷含量。研究发现：北京市菜地土壤砷含量范围和平均含量分别为4.44~25.3和9.40 mg/kg,明显超过北京市土壤砷背景值;北京市蔬菜砷含量最高达0.479 mg/kg,平均含量为0.028 mg/kg,均未超过《食品中砷限量卫生标准》(GB4810-94) 的限量值,但其中有2个蔬菜样品 (萝卜和大蒜) 砷含量超过WHO/FAO制订的限量标准。北京市蔬菜砷含量在东偏北方向 (偏转11^o-30^o) 存在明显的"U"型趋势分布。裸露地蔬菜砷含量显著高于设施蔬菜。油菜、萝卜、小白菜、大葱、芥菜、黄瓜、大白菜和甘蓝抗砷污染能力较弱,而辣椒、云架豆、冬瓜、茄子、菠菜、西红柿、芹菜等抗砷污染能力则较强。北京市居民从蔬菜中摄入砷平均值为0.016 mg/(人·d),蔬菜砷对北京市部分人群存在一定的健康风险。     

基于社会网络理论的旅游系统空间结构优化研究

基于交通网络和旅游资源禀赋的旅游系统空间结构研究具有一定欠缺性。借鉴Shih研究成果,基于旅游者行走游线和旅游流量,分析社会网络理论的程度中心性、接近中心性和中介中心性3个指标作为衡量区域旅游进出通道和中心性、可进入性和旅游集散中心的意义,将目的地划分为区域旅游核心区、缓冲区和边缘区,并对区域旅游分工和设施配备要求提供理论指导。旅游核心区应配备旅游中心、信息中心和口岸交通设施,旅游缓冲区应加强旅游景区建设,旅游边缘区在加强景区建设的同时还应强化宣传工作。探讨旅游系统空间结构的影响因素及其优化措施,并对福建进行实证研究。     

批判实在论在城市空间研究中的应用

批判实在论是一种有关社会科学的哲学理论,它从浅显易懂的本体论出发,抨击了传统科学研究中背离客观实在的种种理想主义倾向,如对“规律性”的迷信、对计量分析方法的过分依赖等。在上世纪80年代批判实在论被引入到西方城市空间研究中、发展为一种新的研究范式,该范式在对传统空间分析研究的批判基础上强调对空间现象的因果机制的阐释,提出了有关因果机制的概念框架,认为只有透过错综复杂的因果关系去把握决定事物的深层结构和机制,才能避免传统研究中常出现的“混乱归因”现象,为此发展了具体研究和抽象研究、深入研究和广泛研究相结合的研究方法,并将其应用于城市空间研究实践中。本研究对批判实在论范式的产生背景和哲学基础等进行了分析,介绍了其理论脉络、方法论和研究实践,并对该范式进行了评价。