城市边缘区空间发展探讨——以北京市海淀区为例

在快速城镇化时期,城市边缘区是城市扩张过程中空间结构变化最大、土地利用转变最快的地区,以过渡性、复杂性、动态性为突出特征。研究城市边缘区的空间演变对认识城镇化、优化城市空间结构等具有重要意义。本文在总结海淀区空间发展历史渊源的基础上,采用了RS/GIS技术对20世纪80年代以来海淀城市边缘区的范围、空间扩张进行了定量分析;并结合系统论方法,探索影响海淀城市边缘区空间演变的若干因素。研究发现：海淀城市边缘区空间发展有独特的地理优势和文化渊源,且在政策、经济、人口、交通等因素的综合作用下,处于不断动态变化之中;呈现出沿环线不规则分布、边界由清晰变模糊、整体向西北推移的空间特征;总面积逐渐增加、年扩张速率先升后降;1995-2007年以向外扩张为主,其他阶段以内部填充型发展为主;空间分布及扩张强度在不同乡镇街道具有区域差异性等。本文将RS/GIS技术与系统分析相结合,来研究城市边缘区相关问题的技术可行性。     

Evolutionary Pattern and Effect of Administrative Division Adjustment During Urbanization of China: Empirical Analysis on Multiple Scales

The adjustment of administrative divisions is one of the important factors guiding China’s urbanization, which has profound economic and social effects for regional development. In this paper, we comprehensively describe the process of the adjustment of administrative divisions at provincial and municipal levels in China and summarize the effects on the basic structure and patterns of the spatial development. We quantitatively assess the effects on fields such as urbanization and social economy through the use of multidimensional scaling. The results show that: 1) Upgrading county to municipality (or city-governed district) is the main way of adjusting the administrative divisions. It is also an important factor in the spatial differentiation of interprovincial urbanization. China’s population urbanization can be divided into four patterns including interprovincial migration, provincial migration, natural growth, and growth caused by the adjustment of administrative divisions, which is also the main reason for the increased Chinese urbanization rate at the provincial level. 2) Taking the city of Beijing as an example, we generalize five adjustment patterns made to administrative divisions: the set-up of sub-districts, the set-up of regional offices, the upgrading of townships to sub-districts, the upgrading of townships to towns, and the set-up of towns and the addition of new regional offices. We summarize the municipal urban spatial structure, including the sub-district office area in the central urban area, the regional office area in the new urban area, the mixed area of villages, towns, and sub-district offices in the suburb area, and the township area in the outer suburb area. 3) The adjustment of administrative divisions triggers a significant circulative accumulation effect, resulting in the spatial locking of population and industrial agglomeration. It affects the evolution of the urban spatial form and plays an important role in shaping the urban spatial structure to move to the characteristic of multicenter. In general, the adjustment of administrative divisions was an important factor affecting the inflated statistical level of urbanization and also an important driving force for the evolution of Chinese urban spatial organization structure.     

Spatio-temporal patterns of intra-urban land use change in Beijing, China between 1984 and 2008

Urban internal structure is essential information for urban geography researchers and urban planners or managers. This research aims to examine the spatial structure changes of internal urban land use based on the interpreted datasets of 1984 and 2008. Spatio-temporal patterns of internal land use conversion and urban expansion are analyzed, and then dominant driving factors (e.g., social economy, population growth and urban planning) were identified. The results indicate that Beijing′s intra-urban layout has experienced tremendous adjustment from compact to disperse configure, otherwise its function objects have shifted from the major economic and industrial development before the 1990s to the combination with cultural, high-technological and inhabitable city at present. The dominant urban land use transformations include the relocation of industrial lands from core districts to suburban or other provinces, and the accelerating expansion of residential areas and green spaces for supplying the demand of housing and ecological protection. Although Beijing′s urban planning has experienced three major adjustments and improvement since the 1980s, its optimization of urban internal patterns still remains a challenge.     

空间同位模式支持下城市服务业关联发现及特征分析

空间同位模式分析是数据挖掘中一种常见的方法,可有效挖掘城市设施在空间位置上的关联特征,进而发现城市设施的分布规律.本文基于POI数据同位模式挖掘用来获取城市服务业空间关联结构:首先,通过邻近实例获取、同位候选模式存储与筛选,得到城市服务业二阶同位模式;然后,据此构造产业空间关联图,得到产业间的关联结构;最后,分别构造了...     

Influencing factors for formation of urban and rural spatial structure in metropolis fringe area—Taking Shuangliu County of Chengdu in China as a case

With rapid urbanization process, the pace of urban sprawl has been quickened and most metropolises have experienced expansions in leaps and bounds in suburbanization, which has greatly changed the urban and rural spatial structure of the metropolis fringe area. In this paper, Shuangliu County is taken as a case, since it is a typical fringe area of Chengdu Metropolis. Based on Landsat TM images of Chengdu City and Shuangliu County obtained in 1985, 2000 and 2004, characteristics of urban and rural spatial structure in Shuangliu County were analyzed, such as core-periphery spatial structure and some obvious integration trends. Then the influencing factors for the formation of urban and rural spatial structure were identified, including some natural, social, economic and political factors. According to the discussion of this paper, Shuangliu County is undergoing a key transition and reform period. Its formation of urban and rural spatial structure was affected not only by such common factors as the location, natural background, industrial transition, migration, etc., but also by some unique factors such as city planning and policy guidance, which played an important role in accelerating its uneven spatial structure. The understanding of the role of the influencing factors would be useful for carrying out spatial management and development planning of metropolis fringe area.     

Urban Economic Cluster Template and Its Dynamics of Beijing,China

Economic clusters have been a central focus of current urban and regional research, policies and practices. However, a meth- odology to identify and analyze policy-relevant economic cluster dynamics is still not well developed. Based on input-output （I-O） data of 1987, 1992, 1997, 2002 and 2007 of Beijing, this article presents an adapted principle component analysis for identifying the evolu- tion of local economic cluster patterns. This research addresses the changes of economic interaction of industries with complementary and common activities over time. The identified clusters provide an insight into the reality of economic development in a diversifying urban economy： the increasing importance of services and the growing interaction between service and manufacturing industries. Our method therefore provides the analysts with a better understanding of the emergence, disappearance and development of economic clus- ters citywide. The results could be used to assist monitoring urban economic development and designing more practical urban economic strategies.     

Spatial evolution and locational determinants of high-tech industries in Beijing

Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.     

Spatial and Temporal Pattern of Urban Smart Development in China and Its Driving Mechanism

Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.     

城市生长与形态双维分形模型改进及应用

分形方法是测度城市生长与形态演化的重要方法,然而其标度区范围的自然识别依然存在瓶颈。本文采用二阶导数识别半径法标度区界线,结合经典计盒法模型提出改进的双维分形标度律测算方法,以郑州市为案例区验证模型的精度与效度,综合解析郑州城市空间形态结构的生长演变特征。结果显示:① 利用二阶导数自动识别半径法标度区界线可显著提升分形模型拟合效果,拟合精度R²由0.920提升至0.996以上;② 郑州城市空间结构存有双标度现象,城市生长扩张并非标准环形波状推进,半径法模型仅在“城市中心边缘—建成区内侧”的环状范围拟合有效,城市结构可能存有自仿射生长或随机多分形特征;③ 1982—2020年郑州城市形态演化为明显的中心蔓延模式,职能用地的空间配置整体均匀程度偏高,功能分异程度较低,存有城市景观较紊乱,系统效率不高的隐患。本研究对半径法分形模型中拟合精度难以提升的应用瓶颈作出了突破性尝试,为城市生长模拟与城市空间结构演变分析提供了一种新方法,丰富了城市分形研究。     

西安市城市边缘区空间识别与边界划分

城市边缘区研究的首要任务是对城市边缘区进行空间识别和边界划分。针对现有研究存在的指标选取过于单一或繁杂、水陆分离导致划分间断等问题,利用西安市SPOT-5、Landsat TM遥感影像和社会统计数据,分别从物理、景观、人口3个视角出发,选定不透水面盖度与景观絮乱度作为主要判别指标,人口密度作为辅助指标,构建城市边缘区识别指标体系。运用信息熵法和突变检测法,量化并可视化西安市城市边缘区的空间范围。结果表明：① 所选取指标沿着城乡梯度表现出独特的空间信息,根据指标的城乡空间异质性特征可以识别出城市边缘区的空间范围,且方法更科学,界定结果更精确。② 西安市呈现出明显的城市核心区、城市边缘区、农村腹地的圈层结构特征。道路牵引与政策调控对城市边缘区的空间分布有重要影响。本研究可为城市边缘区其他相关研究提供科学参考和依据。     

中国城市网络核心-边缘结构演化及影响因素研究——基于制造业企业网络视角

基于制造业企业网络视角的城市网络核心—边缘结构的研究将加深对城市网络演化规律的理解。利用2020年中国制造业500强企业网络数据和隶属联系模型构建城市网络,研究了中国城市网络核心—边缘结构的演化特征,定量测度了核心—边缘结构的影响因素,并根据国际生产折衷理论解析了城市网络地位分异的动力机制。研究发现: 2005—2020年,核心区块的城市数量逐渐增加,主要由直辖市、经济特区以及东、中部地区的省会城市组成,这些城市通过互惠性的链接关系形成了凝聚子群,网络权力较为集中;边缘区块的城市则主要位于中、西部地区,城市间经济联系相对稀疏,整体网络结构并不稳定,城市的发展受到了网络资本的约束。关键资源、基础设施和区位优势是影响中国城市网络地位的决定性因素,择优选择、网络邻近和路径依赖构成了中国城市网络核心—边缘结构演化的动力机制,这将进一步增强核心城市的网络地位。在网络环境下,城市间的差距趋于扩大,城市网络地位的提升取决于城市在网络中的影响力,中国城市化政策需要做出相应调整。     

City Networks of Online Commodity Services in China: Empirical Analysis of Tmall Clothing and Electronic Retailers

City networks have been a critical topic in the fields of urban geography and regional economics. Numerous studies have explored city networks, focusing mainly on infrastructure and industrial networks. Unlike traditional urban network of which the major measuring indexes are population sizes and entity industries, online commodity service networks could reflect well the influencing of emerging economies, especially the Internet economy, on city networks. This study analyzes and reveals structural features of China’s city networks through online commodity services, providing the internet economic approach on city networks. Results indicate that the core cities of online commodity service networks are mainly concentrated in eastern coastal areas. In addition, spatial polarization and layer structure of network connections are obvious, descending from the centers in eastern China to peripheral cities in central and western China. Online commodity services of different cities show apparent differences and uncertainties in terms of specialization rates of international connection, which presents a tendency toward diversification. Online commodity service networks are not only associated with goods production, supply, and consumption in physical space but also reflect virtual information, capital, and technology flows, thus providing a new empirical approach for understanding city networks in information and internet economic age.     

城市空间形态与特征的定量分析——以重庆市主城区为例

本文梳理了城市空间形态研究的理论与方法,系统分析了城市空间形态研究的趋势。鉴此,构建了城市形态定量化研究的测度指标体系,并以RS和GIS技术制定了城市形态定量化分析方法框架,对重庆市主城区空间形态进行了系统的定量分析。在城市用地扩展的时空特征上采用了面积增长量、城市用地扩展速度、扩展强度,及各方位用地扩展强度等指标;在城市外部空间形态特征方面采用了紧凑度、分形维数和形状指数等指标。结果表明:主城区空间形态演变受其重大事件影响较大,呈"突变"和"整合"相结合的演化过程;重庆市主城区空间扩展呈现明显的阶段性,以集约式和内涵式扩展为主;由于受主城区扩展的各向异性影响,主城区扩展以北向和西向扩展为主。本研究为城市空间形态的定量分析提供了参考。     

2000年以来山东省地级以上城市空间格局监测分析研究

城市空间格局变化监测能够反映城市建设空间的发展规律和特点,为城镇体系发展规划、优化以及城市空间开发集约利用等提供重要基础。该文选取山东省作为研究区域,以全省17个地级以上城市城区为研究对象和统计分析单元,以2000-2017年7个时期高分辨率正射影像提取其城区边界和部分时期内部结构数据,采用城市扩展面积、城市扩展速度、城市扩展强度及紧凑度等指标,对山东省17个地级市城市空间格局发展变化进行综合分析,对城市扩展、城市用地等进行评价。研究结果表明:山东省地级以上城市空间格局演变整体呈现出以济南青岛为中心的东西两极发展格局,整体发展较为均衡,但东西部差距依然较大。城市紧凑度较低,以粗放型土地增长模式扩展,面积扩张过快,占用耕地比例较高,土地集约利用程度不够。研究成果可为优化城市空间结构,促进城镇高效、集约、节约、绿色发展等提供了合理的建议以及技术支撑。     

Spatial structure and land use control in Extended Metropolitan Region of Zhujiang River Delta,China

The Zhujiang (Pearl) River Delta is one of the most developed Extended Metropolitan Regions (EMR) in China.With the rapid urbanization,the agglomeration of population and industries has emerged,which has led to dramatic changes of spatial structure and land use in this region.With data of high resolution TM remote sensing images and Google Earth maps,this paper identified and analyzed the spatial pattern of the Zhujiang River Delta EMR using Envy and ArcGIS tools.It was found that 1) the industrial land uses were expanding substantially,particularly on the bank sides of the Zhujiang River estuary;2) large-scale housing developments were concentrated in the fringe of metropolitan areas such as those of Guangzhou and Shenzhen;3) a regional transportation network with the spatial pattern of ″1 circle +2 pieces + 3 axes″ had significantly affected the location choice of manufacture enterprises.At the same time,both highly specialized land use and severely mixed land use patterns were identified.As a consequence of the latter,land use efficiency of the whole EMR areas was reduced.Moreover,ecologic and environmental problems were severe.Based on the above analysis,suggestions were given from the viewpoint of spatial safety,land use efficiency,and the reorganization of spatial structure in the Zhujiang River Delta EMR.     

广东区域公路网络的城市通达性度量及空间特征分析

以广东省各地级市辖区和县域中心点为公路网络节点,通过对各节点城市的中心职能强度指数分析及其相互之间在公路网络的连通关系为基础,综合应用日通达性模型、通达性度量模型和潜力模型,对广东区域通达性进行分析,并以不同指标和度量模型的广东区域通达性的空间格局和分异特征进行GIS分析。结果表明,广东省的城市通达性空间格局,总体上呈现出一种圈层空间分布结构,以广州市核心区域和佛山市中心区域(禅城区和顺德区)为中心向外辐射。其影响通达性区域差异的主要因素包括城市经济水平、交通条件和地理区位等,其中,在交通条件影响下的通达性区域差异,在空间上表现出高等级公路网络指向性。研究结果反映出广东省省域公路网络通达性的空间分异规律,诠释了城市的经济发展水平、交通条件和地理区位对通达性的综合作用,从而为广东省城镇网络体系发育、区域经济协调及珠三角产业转移规划优化提供科学支撑。     

Analyzing land use characteristics of rural settlements on the urban fringe of Liangjiang New Area,Chongqing, China

The objective of this paper is to analyze land use characteristics of rural settlements in urban fringe so as to provide references for optimizing the regional distribution of rural settlements, consolidating rural settlements, and coordinating urban-rural integrated development. The methods of spatial statistical analysis, buffer analysis, Ripley’s K function, kernel density analysis based on GIS (Geographic Information System) were used to analyze the characteristics of scale, spatial differentiation and spatial patterns of the rural settlements in Liangjiang New Area in Chongqing Municipality of China. The fractal dimension formula was also developed to reflect fractal feature of the rural settlements. The results show that, the scale of rural settlements in Liangjang New Area takes on distinct characteristics of spatial differentiation along with changes in elevation, gradient, location, geo-hazards distribution, and the like. The fractal characteristic of rural settlements has obvious regional variations subject to the 6 factors of location in the Liangjiang New Area. Overall, the worse the terrain conditions are, the larger the fractal dimension values become. The better the location conditions, the larger the fractal dimension values are. The spatial pattern in the township scale presents three kinds of distribution as being aggregated, uniform and random. In contract, the spatial pattern in the plaque scale displays a banding distribution from a general view with several aggregation zones centering on each town center. From the results, we can see that the characteristics of rural settlements in urban fringe are more complicated. For such kind of rural settlements in special regions, in the rural land consolidation more attention should be paid to improve the rural living environments and public services, as well as to promote the harmonious relationship between the urban and rural areas.     

基于空间突变特征的城市边缘区提取方法

城市边缘区位于城市与乡村之间的过渡交接地带,既是城市扩张的前沿,也是城乡建设和用地置换中最具活力的地区。准确识别城市边缘区的空间范围一直是城市空间结构研究的核心问题,有助于从城乡对比的角度来衡量城市化程度。本文以城市边缘区的空间突变特征为切入点,基于格网尺度评价构建基于多源数据的城市边缘区特征识别指标,然后采用小波变换检测进行特征值突变点群的识别,并利用基于Delaunay的自动边长阈值的边界提取算法识别突变点群内外边界,从而实现了一种基于空间突变特征的城市边缘区提取方法。最后,以江阴市作为研究区进行了实证分析,并将本文方法提取结果与通过信息熵模型和土地利用程度综合指数模型提取城市边缘区的经典方法提取结果进行对比,经典方法所提取的城市边缘区结果更为混乱分散,而本文结果更为完整客观。将本文方法提取结果与使用土地利用数据与行政区划统计年鉴数据构建城市边缘区识别指标进行突变检测的不同指标方法提取结果进行对比,二者重叠度达88.03%,体现了本文方法的正确性,而从局部细节分析来看,本文结果更符合实际情况。为了更好地验证本文方法的有效性,利用景观格局指数对本文方法和不同指标方法提取的城市建成区、城市边缘区和乡村腹地的范围进行检验：从斑块类型层级指数分析, 2种方法划定的区域都具有典型的空间特征;而从景观层级指数分析,本文识别出的边缘区所计算的斑块密度、最大斑块指数、景观分离度、景观破碎化指数和香农多样性指数均高于对比方法,而蔓延度和香农均匀度均低于对比方法,说明本文识别的城市边缘区范围内景观破碎化程度和异质性更高,景观分布不均匀,社会经济条件更复杂,从而证明了本方法的有效性,尤其适合于非闭合环状的城市边缘区的提取。     

广州城市空间形态特征与时空演化分析

城市空间形态的形成和变化是城市内、外各种社会力量相互作用的物质空间反映。本文基于历史资料和遥感影像,探讨了近百年来广州城市空间形态特征和演变过程。广州城市空间形态演变依次经历了轮形团块期、触角期、分散组团式、轴向发展期、带形发展期、新的触角期等几个阶段。利用遥感方法对1979～2004年间广州市建成区变化的监测表明,该期间广州先后经历了20世纪80年代的相对稳定期、90年代前期的快速发展期、90年代中后期的平稳发展期和近年来的高速发展期,目前是扩展速度较快的时期。     

基于历史卫星遥感影像对城区空间形态演变的研究——以山东省潍坊市为例

基于潍坊市近50年来历史遥感影像,通过人机结合的方式,对历史影像进行中心城区范围提取,并开展面积变化、扩张速度和扩张强度、紧凑度、分形维数、重心迁移等相关指数的统计分析,发现潍坊市中心城区扩张的历史演变规律。通过提取水系、道路等城市发展相关要素,分析对其历史变化情况进行专题分析,以此为城市发展和规划提供数据和决策支撑。研究发现,潍坊市中心城区的空间形态演变规律初期向东侧发展,与寒亭区、坊子区形成三角状星型结构。后发展形成东西一体相连的单中心城区结构,最终形成潍坊市中心城区东西、南北十字结构。