Spatial Pattern Evolution and Influencing Factors of Cold Storage in China

Cold storage is the vital infrastructure of cold chain logistics. In this study, we analyzed the spatial pattern evolution characteristics, spatial autocorrelation and influencing factors of cold storage in China by using kernel density estimation(KDE), spatial autocorrelation analysis(SAA), and spatial error model(SEM). Results showed that: 1) the spatial distribution of cold storage in China is unbalanced, and has evolved from ‘one core' to ‘one core and many spots', that is, ‘one core' refers to the Bohai Rim region mainly including Beijing, Tianjin, Hebei, Shandong and Liaoning regions, and ‘many spots' mainly include the high-density areas such as Shanghai, Fuzhou, Guangzhou, Zhengzhou, Hefei, Wuhan, ürümqi. 2) The distribution of cold storage has significant global spatial autocorrelation and local spatial autocorrelation, and the ‘High-High' cluster area is the most stable, mainly concentrated in the Bohai Rim; the ‘Low-Low' cluster area is grouped in the southern China. 3) Economic development level, population density, traffic accessibility, temperature and land price, all affect the location choice of cold storage in varying degrees, while the impact of market demand on it is not explicit.     

Spatial Pattern of Long-term Residence in the Urban Floating Population of China and its Influencing Factors

Exploring long-term residence among the urban floating population is crucial to understanding urban growth in China, particularly since the 2008 financial crisis. By using China Migrants Dynamic Survey data for 2012–2014, China Labor-force Dynamics Survey data for 2014–2016, and macroscale urban matched data, we analyzed the spatial pattern of long-term residential behavior in China's urban floating population in 2012–2016 and developed an urban spatial utility equilibrium model containing ‘macro' urban factors and‘micro' individual and household factors to explain the pattern. The results first revealed that long-term residence is defined as ≥ 6 yr for the urban floating population in China. Second, members of this population are more likely to be long-term residents of the megacities in the three urban agglomerations in eastern China as well as of small and medium-sized cities in western and northeastern China, whereas short-term residence is more likely in cities in central China and near the three urban agglomerations. Third, urban population density and housing prices, both have a significant U-shaped effect, are main factors affecting the spatial pattern of long-term residence.     

利用GRACE监测中国区域干旱及其影响因素分析

利用2003-01~2012-12的GRACE时变地球重力场模型计算我国长江中下游平原、西南地区和华北平原陆地水储量变化的时间序列。结果表明,长江中下游平原和华北平原的陆地水储量变化量最低值在2011-05,西南地区最低值在2010-03。根据陆地水储量变化的水平衡原理计算3个区域地下水储量变化情况。结果表明,长江中下游平原和西南地区地下水储量呈缓慢增长的趋势,增长速率分别为0.54 mm/月和0.34 mm/月;华北地区呈缓慢减小的趋势,减小速率为0.33 mm/月。3个区域干旱时期地下水储量的亏损情况分别为：长江中下游平原-21.31 mm/月,华北平原-19.88 mm/月,西南地区-15.72 mm/月。最后,用NOAA发布的月降雨和气温数据对3个区域干旱期间的降雨量和蒸发量进行量化,分析3次干旱产生的原因。结果表明,西南地区2010年春季干旱的主要原因是气温异常,长江中下游平原和华北平原2011年干旱的主要原因是降雨量偏少。     

武汉市中心城区住宅价格空间分布格局及其影响因素研究

利用网页爬虫技术从安居客网站抓取了武汉市中心城区2016年7月共3 188个小区的平均房价数据。运用GIS空间分析方法和GWR模型对武汉市中心城区房价空间分布模式及其影响因素进行探讨。研究发现武汉市中心城区的房价具有聚类分布特征;新盘房价与片区位置(汉口、武昌、汉阳)、环线位置(内环、二环、中环)、距湖泊距离、距商圈距离、小区附近学校个数显著相关;楚河汉街商圈对二手房房价的影响力度高于其他商圈,东湖和沙湖对二手房房价的影响效应也很显著。     

Regional Differentiation Regularity and Influencing Factors of Population Change in the Qinghai-Tibet Plateau,China

The Qinghai-Tibet Plateau(QTP) is the most unique region of human-land relations, and its main factor is population. By building a population and space dataset of the QTP at the township level from 1982 to 2017, this paper presents the pattern evolvement and regional distribution characteristics of township-level population in the QTP in detail for the first time. By using Geodetector method to analyze the influencing factors of township-level population change in the QTP, this paper provides sc...     

Spatial Pattern and Benefit Allocation in Regional Collaborative Innovation of the Yangtze River Delta,China

As an important step enhancing regional innovation, researches on collaborative innovation have attracted much more attention recently. One significant reason is that cities can get excessive benefits while they take collaborative innovation activities. Based on the theories of innovation geography, this paper takes the collaborative innovation of the Yangtze River Delta(YRD) Urban Agglomeration as a case study and measures the collaborative innovation capacity from innovation actors and innovat...     

Spatiotemporal Pattern of Cultivated Land Pressure and Its Influencing Factors in the Huaihai Economic Zone,China

Cultivated land pressure represents a direct reflection of grain security. Existing relevant studies rarely approached the spatiotemporal pattern of cultivated land pressure or the spatial heterogeneity of its influencing factors from the level of economic zones.Taking the Huaihai Economic Zone(HEZ), China for case analysis, this study investigated the spatiotemporal pattern of cultivated land pressure in diverse periods from 2000 to 2018 based on a modified cultivated land pressure index and sp...     

Regional Equity and Influencing Factor of Social Assistance in China

Social assistance is the last safety net in the social security system and plays a vital role in poverty alleviation in countries around the world. Promoting the equal financial assistance is meaningful to achieve equalization of social assistance. Based on the provincial panel data from 2002 to 2017, this paper analyzes the dynamic characteristics and main influencing factors of the equity of social assistance in China, using the Theil index and geographically weighted regression(GWR) model. Th...     

中国建设用地空间格局分析

全面准确地分析中国建设用地空间格局,是衡量城市景观的生态环境效应和制定区域发展战略的重要依据。为此,本文基于空间分辨率为12 m的2012年的全球城市足迹数据,分别在国家、经济区和城市群量化了中国建设用地空间格局。结果表明,12 m分辨率的数据能更细致和准确地刻画中国建设用地的特征。2012年中国建设用地面积为1.73×10⁵ km²,占中国陆地总面积的1.81%。从建设用地的空间格局来看,城市群尺度的建设用地破碎度最高,其建设用地平均斑块密度分别是国家和经济区平均水平的3.66倍和1.62倍。进一步分析表明,社会经济和地形因素共同影响建设用地空间格局。今后,应针对建设用地空间格局破碎问题,因地制宜地制定合理的措施,推动中国建设用地的合理发展。     

深圳市快递自提点的空间分布特征与影响因素

随着信息技术的发展,电子商务的盛行推动着快递行业的迅猛发展,快递自提点成为人们日常生活的重要场所,从而成为城市地理与物流地理的重要研究对象。本文基于2018年4月深圳市菜鸟驿站和中国邮政速递物流站点的POI数据,综合运用文本分析、数理统计、空间分析方法,解析深圳市快递自提点的空间分布特征和影响因素。研究发现：① 快递自提点依托类型多样：由市场主导的菜鸟驿站主要依托专业的快递公司、便利店等;由政府主导的邮政站点一般设于中国邮政的分支服务网点;② 快递自提点服务对象种类繁多,二者都主要以服务社区为主,企业、工业园、酒店等为辅;③ 快递自提点的区位选择一般靠近服务对象的出入口,80%的快递自提点分布在距其最近出入口200 m范围内,邮政站点更接近服务对象;④ 快递自提点的空间分布不均衡,呈现“中西部多,东部少”的特点,沿“东-西”走向集聚分布,为多核集聚模式;⑤ 快递自提点的空间格局是区域经济发展水平、人口分布、交通便捷程度、土地利用类型等多因素综合作用的结果,最后探索了快递自提点选址与分布的综合影响机制。     

OSDS注册用户空间分布特征及影响因素分析

本文以2005年以来中国科学院遥感与数字地球研究所开放式空间数据共享网站（OSDS）平台的注册用户为研究对象,利用最近邻层次空间聚类方法和地理探测器模型,对各省注册用户量的空间分布特征和差异影响因素进行了分析。分析结果表明,整体上用户空间分布很不均衡,主要集中在东部发达地区和几个在测绘和地理信息科学领域卓有建树的地区,信息、科研和教育是主要影响因素,经济、网络和测绘的单因素影响力较低,而与主要影响因素结合的交互影响得到了提升。因此,多因素共同制约着用户群的空间分布格局和区域不均衡性。应用地理探测器能从宏观上把握遥感学者群体的空间分布特征及其影响因素,其分析结果能够指导数据提供者更有针对性地为用户提供服务,也可为遥感产业调整和空间布局优化提供依据。     

Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.     

柳州市汽车制造业企业的空间格局与影响因素

中国是世界汽车生产大国,产销量已连续9年蝉联世界第一,然而有关汽车产业的研究更多集中在区域尺度,对城市尺度的研究相对较少。本文以柳州市为案例,利用工商注册企业数据和核密度估计、负二项回归模型等方法分析了柳州市汽车制造业企业的空间格局与影响因素。结果表明：① 汽车制造业企业主要集中在河西、洛维、河东、阳和等城市组团,企业集聚范围逐步向东、向西扩散,其中向东扩散以柳东新区为主,向西扩散以河西高新技术产业开发区为主;② 汽车制造业企业在距离市中心0~11 km显著集聚,空间集聚强度呈现先增加后减小的趋势;③ 土地价格、交通条件、地方化经济、政策是影响汽车制造业企业区位选择和空间格局的重要因素;同时,汽车制造业JIT（Justin Time）生产方式也具有重要影响。在此基础上,提出汽车制造业企业区位选择和空间格局形成的循环累积机制、区位临近机制、价格传导机制。     

北京市住宅价格空间分异特征及影响因素分析

住宅价格空间分异性能体现社会空间异质性,理解当前住宅价格空间格局分异特征及影响因素对北京这类超大城市进行相关规划有重要意义.利用空间插值方法分析北京二手房住宅价格空间格局,采用地理加权回归模型分析住宅价格空间分布影响因素.结果发现:北京市住宅价格的空间分布呈现圈层结构,高值区集中在四环路内,低值区集中在六环路外,但城市...     

基于信息熵的空间插值影响因素分析

空间数据作为一种地理现象的离散度量广泛应用于各类地理空间分析。然而,空间数据经常由于各种原因出现数据的缺失,存在不完备的特性,需要利用空间插值方法对其进行插值估计。现有国内外对于空间插值方法的研究较多,但是对于空间插值影响因素的分析研究则相对较少。本文首先对国内外相关空间插值研究工作进行总结和回顾,进而探讨不同采样密度、采样分布和采样粒度对于空间插值精度的影响。在此基础上,提出一种基于信息熵的空间插值影响因素分析方法。该方法针对采样数据的不同采样密度和采样分布,对空间数据的可插值性进行比较分析,进而探讨插值粒度,即插值网格分辨率对于空间数据可插值性的影响。最后,采用一组实际数据验证了使用信息熵对空间数据进行可插值性研究的可行性和适用性。     

中国省域煤矿事故时空分异特征及影响因素研究

煤矿事故给国家和人民带来巨大的生命财产损失,科学把握煤矿事故发生的宏观规律及区域煤矿安全的影响因素有助于促进煤矿安全生产。本文尝试采用GIS空间分析方法开展区域煤矿事故的研究,基于空间自相关性、时空演化规律方法研究了2006-2015年中国省域煤矿事故的时空分异特点,并分析了省域煤矿安全的影响因素及相对风险度。主要结论：①中国各省区之间煤矿事故存在明显的空间自相关性,但随着各省区煤矿安全生产形势改善情况的不同,其自相关性在不断下降;②以空间重心转移曲线分析中国煤矿事故发生的时空演化规律,10年间煤矿事故空间重心向东北方向转移。③重特大事故频发的省区由于监管措施的有力执行往往具有较低的煤矿百万吨死亡率;平均煤矿生产能力低的省区具有较高的煤矿百万吨死亡率;④建立基于解释变量的贝叶斯空间模型,以煤炭百万吨死亡率为指标评估中国各省区煤矿事故相对风险度,中国煤矿安全生产相对危险度存在明显的空间分布规律且各省区差异较大,相对危险度较高的省区主要集中在南方地区,包括湖北、福建等,危险度较低的省区主要集中在中东部地区,包括山西、内蒙古等。     

Classification and Spatial Pattern of Township Development in Liaoning Province,China

The classification of township development types is an urgent problem that requires solution to enable the township to choose an appropriate development path. Using a township development classification method, we determine the township development types and their spatial patterns in Liaoning Province, China. The results showed that the patterns of township development types based on their general advantages had significant spatial differentiations. The planting, and livestock and poultry breedi...     

基于主客观分析法的城市生态安全格局空间评价

生态安全是城市生态文明建设的主要目标,是城市经济可持续发展的重要基础,评价城市生态安全格局对于城市规划具有极其重要的作用。本文通过选取典型评价指标,运用生态安全格局客观分析法与主观分析法进行对比分析,建立了包括生态系统服务安全格局、生物多样性保护安全格局、生态敏感性安全格局的生态安全格局综合评价体系,并将该评价体系运用到研究区域,对研究区域生态安全格局的变化趋势进行评价和分析。结果表明：①在基本生态控制线内,低水平、较低水平生态安全格局区域的面积有所增加;在基本生态控制线外,中水平生态安全格局区域的面积有所减少;整体上高水平生态安全格局区域面积基本不变。②生态安全格局主观分析法评价结果主要依赖于专家的评定,本文采用的专家评价方法结果与客观分析法评价结果一致。该评价体系已经应用于研究区域的城乡规划和生态保护中,应用结果表明该评价体系能够较完备地进行城市生态安全格局评价,对城市规划和生态保护具有重要的指导作用。     

内蒙古贫困地区生态安全评价及空间格局分析

在压力-状态-响应(Pressure-State-Response, PSR)模型确立指标体系的基础上,采用灰色关联度分析和熵值赋权相结合的方法,测算出2012年内蒙古贫困地区生态安全综合,压力,状态和响应指数,对研究区生态安全状况进行综合评价;并利用地理空间分析方法和空间分析软件GeoDA对生态安全综合状况进行空间相关性分析,同时结合研究区自然地理特征和社会经济状况,对其生态安全空间格局特征及成因进行诊断性分析.研究发现:(1) 内蒙古贫困地区生态安全水平整体处于一般状态,等级布局具有大聚集,小分散的特点;(2) 生态安全状况分布并非完全随机性,而是表现出空间相似值之间的空间聚集,具有正相关性;(3) 生态安全等级分布状况呈现出区域分异的特点,总体表现为内蒙古西部和东部贫困地区处于一般状态,而中部贫困地区生态安全水平整体处于良好状态,区域内部生态安全水平具有明显的县域差异;(4) 生态安全水平较好的县域和生态安全处于一般水平的县域,压力,状态,响应指标方面差距明显,且影响因素各异.     

Spatiotemporal Evolution and Influencing Factors of Landscape Ecological Vulnerability in the Three-River-Source National Park Region

The increasing impact of global warming and human activities has exacerbated the ecological environment in the Three-RiverSource National Park Region(TNPR). Understanding the temporal and spatial evolution of landscape ecological vulnerability(LEV)and its influencing factors are crucial to the implementation of environmental management. Here, we aimed to: 1) construct a LEV assessment model integrating landscape structure and function; 2) analyze the temporal and spatial evolution of TNPR’s LEV ...