张家界旅游企业空间成长对城镇空间形态的影响

运用核密度估计法和标准差椭圆分析法,分析张家界旅游企业空间成长特征及演化过程;选取紧凑度指标,结合城镇空间均衡分布椭圆,分析张家界城镇空间形态演化过程;通过比较不同阶段旅游企业椭圆和城镇空间椭圆的重合面积,剖析旅游企业空间成长对城镇空间形态的影响程度。研究发现：① 张家界旅游企业空间成长过程和特征为：由出现期的“一核多极点”逐渐演变为生成期的“核心-边缘”,最后在发展期形成一个高集聚中心和三个次中心联动的“组团扩展型”格局;② 张家界建成区面积呈现增长态势,城镇空间不断扩展,建成区用地紧凑度逐渐下降;③ 不同阶段,张家界旅游企业空间成长对城镇空间形态的影响程度有一定的差异性,整体呈现出逐渐增强的趋势。研究结论对于重新认识旅游对城镇化建设的作用具有重要的现实意义。     

山东省产业生态化时空分异特征与影响因素——基于17地市时空面板数据

本文综合构建了产业生态化评价指标体系,并利用熵值法、耦合协调分析、探索性空间数据分析方法、空间计量等多种计量方法对2005—2016年山东省17地级市产业生态化水平时空分异特征与影响因素进行了综合研究,结果表明：① 产业生态化依赖于产业化物质消耗型规模增长,但不以结构优化为基础的产业化势必忽视经济要素的横向转移反馈作用与集群效应,导致资源配置的低效现象;② 产业生态化水平逐年递增反映出产业系统与生态环境系统由拮抗向良性共轭方向发展,但其增长率较低说明了产业轻型化与清型化进程滞缓,其质量提升之路漫长而艰巨;③ 产业生态化呈现东中西递减的空间梯度分异特征,东部沿海地区始终是热点区,西部地区尤其是鲁西南地区始终是冷点区;④ 产业生态化水平空间相关性较为显著,经济发展水平、产业结构、外商投资等因素负向溢出效应比较明显,而政府调控以及环境规制强度等因素正向溢出效应突出。     

产业集聚与城镇空间格局的耦合关系及时空演化——以长三角区域为例

产业集聚与城镇空间格局的变动之间存在着密切的联系。针对两者之间的耦合关系及时空演化问题,构建区域产业集聚与城镇空间格局演化综合评价指标,并利用1990—2016年长三角区域16个城市的统计数据,基于面板回归模型和空间重心模型探究两系统之间演化的互动作用关系和时空演化。结果表明：长三角区域的产业集聚与城镇空间格局间存在较显著的耦合关系;长三角区域各市区的耦合协调度及空间匹配度均稳步提升,但长三角区域耦合协调发展程度不够均衡,长三角南部的耦合协调的发展程度稍弱于长三角区域北部的发展;在近几十年的发展中,长三角北部地区逐渐形成以上海-南京为轴线的耦合协调发展区域,整个长三角区域的耦合协调则呈现“Z”字形特征。     

生产性服务业视角下城市网络的演化模式与机制研究——以长江三角洲为例

从行业属性、企业内部因素和城市所处的环境3个层面的耦合关系视角,对生产性服务业视角下城市网络的形成演化模式和演化机制进行了理论探索。在基于地理空间的行政等级体系基础上,考虑到生产性服务业发展对于城市网络的综合影响,归纳了由初始集聚阶段-非均衡扩散阶段-等级网络形成阶段-网络成熟阶段的生产性服务业视角下城市网络的一般演化模式。实证研究表明,长三角城市网络正处于非均衡扩散向等级网络阶段演化的过渡时期,表现出网络的层级特征愈发明显、水平联系不断增强、联系方向更加多样化、服务功能联系差距缩小等特征。联系便捷程度、创新要素支撑、制造业发展基础,以及城市能级推动等要素对于长三角城市网络的影响较大。     

东北三省城市土地利用效益评价及耦合协调关系研究

在阐述城市土地利用效益系统耦合协调性内涵及其交互作用机理的基础上,构建综合评价指标体系,运用均方差决策法、耦合协调度模型,对东北三省2003~2015年城市土地利用综合效益及其主成分间耦合协调关系进行测度,并分析其时空演化过程。研究认为：① 城市土地利用综合效益表现出随时间“先升后降”的特征,区内三省间差异明显,中心和门户城市长期处于较高水平。② 城市土地利用经济效益亦存在“先升后降”的时序变化特征,空间上表现为“南高北低”,低值区范围缩减明显;社会效益差异不显著,在南北方向上表现出“凸”字型分布特征;区域生态环境效益整体较高,高值区由集中趋向分散。③ 城市土地利用经济、社会、生态环境效益间耦合协调关系在各时间节点均表现为失调,且以中度失调为主,但中心城市和门户城市的三效益耦合协调关系相对较好,向协调方向发展,哈长与辽中南城市群地区协调性优于其他区域,吉林省与辽宁省东部的部分城市协调关系趋向恶化。④ 城市土地利用效益间关系失调主要受复合因素的作用,经济效益滞后是制约土地利用效益耦合协调关系提升的主因,生态环境效益滞后不是限制土地利用效益耦合协调性提升的主要因素。     

藏、汉对比视角下的城市空间环境认知研究——以中国西藏日喀则市为例

以分布式认知理论为基础,采用质性研究法、数量分析法以及GIS空间分析技术,探讨日喀则市藏族、汉族居民对城市空间环境认知的异同性。研究表明,藏族对城市空间环境的认知得分高于汉族对城市空间环境的认知得分。藏族、汉族对城市空间环境的认知水平可分为高、中、低3类。认知空间呈现圈层结构与混合结构模式,可分为藏汉一致性、藏族独立以及汉族独立3种认知空间类型。影响居民对城市空间环境的认知因素有共性因素和差异性因素。景观走廊质量、宜居性、基础设施两项是藏族居民关注的主要影响因素,汉族居民更关注公共服务设施的服务能力以及对当地文化的融入感。     

Examining the Relationship Between Spatial Configurations of Urban Impervious Surfaces and Land Surface Temperature

The urban heat island(UHI) effect has significant effects on the quality of life and public health. Numerous studies have addressed the relationship between UHI and the increase in urban impervious surface area(ISA), but few of them have considered the impact of the spatial configuration of ISA on UHI. Land surface temperature(LST) may be affected not only by urban land cover, but also by neighboring land cover. The aim of this research was to investigate the effects of the abundance and spatial association of ISAs on LST. Taking Harbin City, China as an example, the impact of ISA spatial association on LST measurements was examined. The abundance of ISAs and the LST measurements were derived from Landsat Thematic Mapper(TM) imagery of 2000 and 2010, and the spatial association patterns of ISAs were calculated using the local Moran’s I index. The impacts of ISA abundance and spatial association on LST were examined using correlation analysis. The results suggested that LST has significant positive associations with both ISA abundance and the Moran’s I index of ISAs, indicating that both the abundance and spatial clustering of ISAs contribute to elevated values of LST. It was also found that LST is positively associated with clustering of high-ISA-percentage areas(i.e.,>50%) and negatively associated with clustering of low-ISA-percentage areas(i.e.,<25%). The results suggest that, in addition to the abundance of ISAs,their spatial association has a significant effect on UHIs.     

Analog simulation of urban construction land supply and demand in Chang-Zhu-Tan Urban Agglomeration based on land intensive use

Journal of Geographical Sciences - Urban land intensive use is an important indicator in harmonizing the relationship between land supply and demand. The system dynamics (SD) can be used to...     

Exploring spatial-temporal change and gravity center movement of construction land in the Chang-Zhu-Tan urban agglomeration

Urban agglomeration is caused by the continuous acceleration of the urbanization process in China. Studying the expansion of construction land can not only know the changes and development of urban agglomeration in time, but also obtain the great significance of the future management. In this study, taking Changsha-Zhuzhou-Xiangtan (Chang-Zhu-Tan) urban agglomeration in Hunan province as a study area, Landsat images from 1995 to 2014 and Autologistic-CLUE-S model simulation data were used. Moreover, several factors including gravity center, direction, distance and landscape index were considered in the analysis of the expansion. The results revealed that the construction area increased by 132.18%, from 372.28 km² in 1995 to 864.37 km² in 2014. And it might even reach 1327.23 km² in 2023. Before 2014, three cities had their own respective and discrete development directions. However, because of the integration policy implementation in 2008, the Chang-Zhu-Tan began to gather, the gravity center moved southward after 2014, and the distance between cities decreased, which was in line with the development plan of urban expansion. The research methods and results were relatively reliable, and these results could provide some reference for the future land use planning and spatial allocation in the urbanization process of Chang-Zhu-Tan urban agglomeration.

     

Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices

Understanding scale effects is important and indispensable for geography studies. However, spatial and spatiotemporal statistical tools for measuring the operational scales of different processes are rather limited. This article extends the popular geographically and temporally weighted regression (GTWR) model to consider operational scale effects by proposing multiscale GTWR (MGTWR), which offers a flexible and scalable framework for identifying and analysing multiscale processes by specifying flexible bandwidths for various covariates. Then, MGTWR is employed to explore spatiotemporal variations and how influential factors are associated with housing prices in Shenzhen. This article attempts to extend GTWR to MGTWR in consideration of scale effects, thereby highlighting the importance of different levels of spatiotemporal heterogeneity. Furthermore, the empirical results of this study can provide valuable policy implications for real estate development in areas where urban planning should address multiscale effects in both temporal and spatial dimensions.