Park green space is an important part of the urban natural ecosystem and public service facilities. The accessibility index of park green space can characterize the difficulty of using park green space for residents. In addition, it is an important index that reflects the rational layout and fair use of park green spaces. With the rapid development of urbanization, the unrestrained expansion of construction land, and the continuously increasing demands of the population have led to a gradual imbalance between the supply and demand of park green spaces. In this study, the spatialtemporal differentiation characteristics of accessibility of multi-scale park green spaces in Shenzhen under multiple travel modes from 2013 to 2020 were analyzed using the Gaussian two-step floating catchment area (Ga2SFCA) method, which comprehensively considers both supply and demand. The influencing degree of each factor on the accessibility of park green space was studied with a geographical detector from the global scale, through which the dominant factors were screened. The spatial differentiation of the action intensity of each dominant factor on the local scale was investigated using the geographically weighted regression (GWR) model. Results showed that from 2013 to 2020: 1) Within the scope of construction land, the number and area of green parks in Shenzhen increased continuously. The number of community parks increased the greatest amount, and the area of comprehensive parks expanded the greatest amount. There was an imbalanced distribution pattern, which is characteristic of “more in the west and less in the east”,“from the inner areas to the outer areas”, and expansion from south to north. 2) The demand of residents for park green space was positively correlated with population density. The population density in the western region of Shenzhen was increasing gradually, and the population density in the eastern region was always low. The high-value area of green space demand extended gradually from the inner areas to the outer areas. 3) The accessibility of park green space generally presented a rising trend. The proportion of high-value residential areas was increasing gradually. The accessibility of the outside area became gradually higher than that of the inside area. The average accessibility of community parks achieved the highest growth rate, while the accessibility of comprehensive parks was basically stable. The standard deviation of special parks increased the most, and the spatial differentiation was intensified. 4) In 2013, the p-value of all influencing factors was 0, which passed the 0.01 significance test. In 2020, only the three factors of park area proportion, park entrance and exit density, and road density passed the 0.01 significance test, indicating that the spatial distribution of park accessibility from 2013 to 2020 was closely related to green space factors and road factors. The correlations of park accessibility with location, economy, and natural factors presented a downward trend with the development of science and economy. 5) According to the determination power (q-value) of the dominant factor, the q-values of the proportion of park area, park entrance and exit density, and road density all showed a downward trend on the dynamic level. The factors can be ranked road density > proportion of park area > park entrance and exit density in terms of action intensity. This revealed that road density was a dominant factor in park accessibility, with an explanatory power of as high as 10% , which was much larger than that of other factors. The park entrance and exit density and the proportion of park area were important factors for park accessibility. 6) The influences of different factors on the accessibility index of park green space have significant spatial differences. Road density (X4) and proportion of park area (X1) had a greater impact in the eastern study area, while park entrance and exit density (X2) had a greater impact in the western study area. The research enriches perspectives on green space accessibility. The method of exploring the spatial-temporal differentiation characteristics and influencing mechanism of green space accessibility not only can be applied to the layout and planning of urban park green spaces, but also provides a reference to analyze other forms of geographical accessibility.
社区环境与居民健康日益成为研究的焦点.但在城中村改造语境下,社区环境的重构对居民健康的影响尚不清晰.以广州猎德村和石牌村作为案例进行对比,通过路径分析初步探索城中村不同改造模式下建成环境特征、社会资本水平及其对身心健康影响机制.结果表明,经过整体改造后的猎德村,居民的建成环境感知和社会资本水平较高,建成环境感知仅通过社会资本对居民心理健康起促进作用;而逐步更新的石牌村,其建成环境质量仍有损于身心健康,但其社会资本是促进居民身心健康的关键要素.认为城中村不同改造模式下呈现不同的健康收益和风险模式,在改造策略选择上应注重建成环境质量和包容性提升、重视社区社会资本的维护与重塑.
佛山是广府文化和岭南文化的发源地,遗产资源丰富,但鲜有对其不可移动文物和非物质文化遗产进行特征分析与遗产资源整合的研究.运用GIS技术对佛山的413条市级及以上不可移动文物和131条市级及以上非物质文化遗产进行分析,结果表明:(1)佛山不可移动文物在结构类型上以古建筑为主,占比约66%,在分布特征上整体呈现"东密西疏、北稀南聚"聚集分布格局;(2)佛山非物质文化遗产在结构特征上传统技艺类型突出,传统戏剧资源匮乏,在分布特征上与不可移动文物相似;(3)佛山遗产资源丰富,不可移动文物较多分布在西江、北江沿岸,但没有较好整合.因此提出遗产廊道体系构建的保护建议,通过河流遗产廊道的形式跨区域协同保护与利用遗产.
城市化快速推进背景下,农村居民点在空间布局、土地利用等方面的问题日益凸显,明晰农村居民点的时空演变特征并进一步分析其影响因素与机制,有助于把握未来农村地区现代化转型的发展方向.以广州中新镇为例,利用第二次土地利用变更调查、历年社会经济统计、实地调研等多种数据源,运用GIS空间分析法、核密度分析法等方法分析镇域2009-2018年农村居民点的时空演变特征,并结合实地调研和资料分析进一步探究其影响因素和基本机制.研究指出:(1)农村居民点用地规模在十年间不断扩张,呈现"人增地增"演变趋势,且向中南部转移、向镇区及其周边地区集聚的趋势明显;(2)镇域农村居民点斑块数量呈现细小化、破碎化增加的演变趋势,在空间上表现为集聚程度上升且地域差异显著,总体呈现"南密北疏"和"两核多团"的分布格局;(3)镇域农村居民点用地时空演变受自然环境资源、经济发展提升、综合区位条件、政府用地政策多种因素综合作用影响,其中,自然环境资源奠定了农村居民点基本的空间格局,经济发展提升的直接驱动力、综合区位条件的外部扩展力、政府用地政策的严格管控力三者共同作用影响了农村居民点的时空演变特征.
平海所城作为广东首批省级历史文化名城,其六百多年的演变过程为了解明清时期军事建制、渔盐贸易影响下所城聚落空间形态发展规律提供了良好的样本.以明清时期平海所城空间形态为研究对象,借助地方志、军事史、盐业史等文史资料中记载的相关信息,结合现场调查中的实体空间样本和现场访谈,重点关注其从明初的军事防御形态向清朝时期商贸形态的转变过程.从历时性的角度,以明清时期的主导功能为线索对所城空间形态演变进行时段划分,通过空间特征分析和演变规律总结,分析以明代军事防御体系、清代盐业与商贸发展作为主导机制对所城形态的影响,并总结其营城思想和智慧,对海岸带的城市发展、海洋型遗产保护和振兴提供科学依据.
