两步移动搜寻法及其扩展形式研究进展

两步移动搜寻法是公共服务设施空间可达性研究中的重要方法,在国内外公共服务设施布局研究中得到了广泛应用,且发展出了众多扩展形式。但国内研究中对两步移动搜寻法尤其是其扩展形式的应用还较为有限。本文对两步移动搜寻法的主要扩展形式进行系统梳理和总结,将国内外研究中提出的两步移动搜寻法扩展形式归纳为基于引入距离衰减函数的扩展、对搜寻半径的扩展、针对需求或供给竞争的扩展以及基于出行方式的扩展4类,并分析了各种扩展形式的优缺点、适用情景以及未来可能改进方向。旨在为相关研究的方法选择提供参考,促进两步移动搜寻法及其扩展形式在国内相关领域的应用和发展。     

就医空间可达性分析的两步移动搜索法——以江苏省东海县为例

精确评价医疗设施可达性的空间分异样状况是合理配置医疗资源的前提。本文在回顾国内外关于医疗空间可达性研究的基础上, 采用两步移动搜索法, 以江苏省贫困县--东海县为案例, 以行政村和医院为分析单元, 基于迪卡斯特拉算法计算出各村到医院(卫生院)的最短通行时间, 进而分析各村医疗空间可达性分异情况。采用不用服务时间阈值范围进行空间敏感性分析, 综合研判缺医地区分布特点。与传统的医卫人员和人口比值的方法相比, 两步移动搜索法能有效显示县域范围内医疗可达性的空间分异情况。采用较大的时间阈值, 医疗空间可达性分异较为平滑, 采用较小服务阈值则空间分异显著, 缺医范围也较大。东海县医疗空间可达性整体呈单核结构, 并沿主要交通线延伸, 缺医地区多分布于边缘乡镇。提高边缘乡镇的行政村的甲级卫生院等级和乡村道路等级将会改善边缘乡镇的就医可达性。     

基于高斯两步移动搜索法的沈阳市绿地可达性评价

基于高斯两步移动搜索法,进行沈阳市绿地可达性分析。在揭示研究区内绿地可达性空间格局的同时,探索这一新方法的实际应用价值。结果显示：① 沈阳市绿地可达性整体上具有北高南低、东高西低的空间分布特征,4 个高值区与3 个低值区可清晰识别;高值区域主要分布在核心城区的近外围,低值区域主要分布于核心城区与城市的西部及南部远郊。② 沈阳市绿地可达性空间格局十分不平衡,具有较强的空间极化特征,70%以上的街道绿地可达性低于全市平均水平,只有少数街道呈现较高的可达性,人口与绿地的空间不匹配是造成不平衡的主要因素。③ 根据可达性评价结果,提出了实施空间优化策略,促进绿地服务均等化的相关建议。该方法能够较好地揭示城市绿地系统与人口相互作用的规律,未来还应进一步与客观实际结合,使之更加具体化和实用化。     

高斯两步移动搜索法的模型研究——以上海市绿地可达性为例

合理的配置公共服务设施对城市的现代化建设至关重要。空间可达性是度量公共服务设施配置是否合理的方法之一。在诸多的研究方法中,高斯两步移动搜索法由于直观且运算简便,因而得到广泛应用。但该方法也有不足之处,本文运用格网GIS方法,以上海市的绿地空间可达性为例,对两步移动搜索法进行模型方法的改进研究,并对高斯两步移动搜索法和格网化的高斯两步移动搜索法进行对比分析,结果表明：后者可降低空间可达性的误差,提高可达性精度,对上海市绿地空间可达性反映更加真实、客观。如果选择合理的数据将其格网化,该方法也可以用于其他公共服务设施的空间可达性研究。     

A three-step floating catchment area method for analyzing spatial access to health services

Gravity-based spatial access models have been widely used to estimate spatial access to healthcare services in an attempt to capture the interaction of various factors. However, these models are inadequate in informing health resource allocation work due to their inappropriate assumption of healthcare demand. For the purpose of effective healthcare resource planning, this article proposes a three-step floating catchment area (3SFCA) method to minimize the healthcare-demand overestimation problem. Specifically, a spatial impedance-based competition scheme is incorporated into the enhanced two-step floating catchment area (E2SFCA) method to account for a reasonable model of healthcare supply and demand. A case study of spatial access to primary care physicians along the Austin–San Antonio corridor area in central Texas showed that the proposed method effectively minimizes the overestimation of healthcare demand and reflects a more balanced geographic pattern of spatial access than E2SFCA. In addition, by using an adjusted spatial access index, the 3SFCA method indicates strong potential for identifying health professional shortage areas. The study concludes that 3SFCA is a promising method to provide health professionals and decision makers with useful healthcare accessibility information.     

Does Better Spatial Access Lead to Better Use of Prenatal Care? A Population Study in Georgia

Understanding the effect of spatial accessibility on service utilization is essential to facilitate prenatal care delivery. Previous studies suggest that mothers with better spatial access are more likely to receive adequate prenatal care. Their conclusions, however, are limited by use of small samples and inappropriate spatial accessibility measurements. This article examines the role of spatial accessibility in explaining the variation of prenatal care utilization among 202,377 mothers in Georgia from 2009 to 2011. Specifically, we use geographic information systems and spatial analysis methods to explore the spatial pattern of inadequate prenatal care utilization. A two-transportation-mode, two-step floating catchment area method is used to measure the spatial access to prenatal care by census tract. The effects of spatial accessibility, combined with the influences of demographic, socioeconomic, behavioral, and medical factors, on the adequacy of prenatal care utilization are investigated with statistical models at the individual level. The results show that mothers with better spatial access are less likely to have adequate prenatal care. The inconsistency of this finding with other existing evidence suggests that the effects of spatial accessibility on health service utilization could be complicated and context specific.     

Measuring spatial accessibility to primary care in rural areas: Improving the effectiveness of the two-step floating catchment area method

Quantifying spatial accessibility in relation to the provision of rural health services has proven difficult. This article critically appraises the two-step floating catchment area (2SFCA) method, a recent solution for measuring primary care service accessibility across rural areas of Victoria, Australia. The 2SFCA method is demonstrated to have two fundamental shortcomings – specifically the use of only one catchment size for all populations, and secondly the assumption that proximity is undifferentiated within a catchment (especially problematic when the catchment is large). Despite its advantages over simple population-to-provider ratios, the 2SFCA method needs to be used with caution.     

A comparative analysis of accessibility measures by the two-step floating catchment area (2SFCA) method

The recent decade has witnessed a new wave of development in the place-based accessibility theory, revolving around the two-step floating catchment area (2SFCA) method. The 2SFCA method, initially serving to evaluate the spatial inequity of health care services, has been further applied to other urban planning and facility access issues. Among these applications, different distance decay functions have been incorporated in the thread of model development, but their applicability and limitations have not been thoroughly examined. To this end, the paper has employed a place-based accessibility framework to compare the performance of twenty-four 2SFCA models in a comprehensive manner. Two important conclusions are drawn from this analysis: on a small analysis scale (e.g., community level), the catchment size is the most critical model component; on a large analysis scale (e.g., statewide), the distance decay function is of elevated importance. In sum, this comparative analysis provides the theoretical support necessary to the choice of the catchment size and the distance decay function in the 2SFCA method. Justification of model parameters through empirical evidence (e.g., field surveys about local travel activities) and model validation through sensitivity analysis are needed in future 2SFCA applications for various urban planning, service delivery, and spatial equity scenarios.     

Enhancing the Two-Step Floating Catchment Area Model for Community Food Access Mapping: Case of the Supplemental Nutrition Assistance Program

In this article, a Gaussian-based two-step floating catchment area (2SFCA) model is applied to evaluate the geographical accessibility to Supplemental Nutrition Assistance Program (SNAP)-authorized retailers. First, the proposed method considers the interaction between the food supply (in terms of categorized benefit redemptions) and demand (in terms of benefit-receiving households). Second, the model is used to visualize food access patterns at the level of refined administrative units (i.e., census block groups). The developed food access metric was compared to the U.S. Department of Agriculture (USDA) Food Access Research Atlas, justifying the validity of this new method for small area estimation. The following are important observations: (1) the choice of catchment size had a considerable impact on the accessibility measure in urban areas (or when small statistical units are used); (2) the 2SFCA measurement had a higher level of correspondence with that of the USDA Atlas at a smaller catchment size for identifying low food access units; and (3) there was no significant inequality regarding SNAP accessibility with respect to different socioeconomic deprivation variables. This new method can better assist the SNAP administration with store authorization on a refined geographic scale. Key Words: food access, inequality, scale, Supplemental Nutrition Assistance Program (SNAP), two-step floating catchment area (2SFCA).     

基于改进两步移动搜索法的上海市黄浦区公园绿地空间可达性分析

为解决高密度城市公园绿地供需不平衡的问题,论文提出了一套改进的两步移动搜索模型,并以上海市黄浦区为例,对其现有公园绿地进行步行条件下的空间可达性分析.首先从网络爬取研究范围内居住小区POI信息,将其聚合在边长100 m的正六边形蜂窝网内,计算得到每个人口单元的人数及人口密度,并利用百度地图API路径规划接口爬取各供给点...     

北京市养老设施空间可达性评价

发展养老服务是当前中国社会建设中的重要部分。近年来,北京市养老设施发展迅速,但是由于快速的人口老龄化,北京市养老设施的供给仍难以满足老年人口对养老设施的需求。对北京市养老设施空间可达性进行科学评价是进行合理空间配置的基础,具有重要的现实意义。本文基于GIS技术,应用改进的两步移动搜索法,对北京市养老设施的空间可达性进行了测算,并重点对1小时单一有效服务半径和按养老设施规模划分的三级有效服务半径这两种情形进行了比较分析。结果表明,后者对北京市养老设施的空间可达性评价更具合理性。本文对空间可达性的测算结果识别出了北京市各区域养老设施的稀缺程度,为养老设施的空间布局提出了政策性建议。     

基于改进高斯两步移动搜索法的深圳市公园绿地可达性评价

公园绿地可达性是衡量城市宜居水平的重要指标.针对传统可达性分析多用统计数据开展评估而导致的供需尺度失衡问题,论文以深圳为例,采用公园绿地空间矢量数据和手机信令数据获取供需空间分布,采用高斯两步移动搜索法计算交通小区(TAZ)尺度公园绿地可达性,并结合可达性结果及供需、交通情况聚类,剖析可达性差异化模式及成因.主要结论如...     

基于改进3SFCA的乡村地区公共医疗设施空间可达性与公平性评价——以海口市为例

公共医疗设施配置合理与否影响城乡居民健康和福祉,科学客观测算乡村地区公共医疗设施公平可达性具有重要意义。乡村地区人口规模较小且分散居住,居民就医行为有别于城市居民,2SFCA或3SFCA方法难以客观揭示乡村地区人口分布规律和就医出行特征,导致评估乡村地区医疗设施可达性时效果不佳。论文根据海口市乡村居民就医出行规律选择距离衰减函数,格网化研究区形成人口需求点,考虑不同等级医疗机构对居民就医的吸引,改进了3SFCA算法,建立乡村地区公共医疗设施可达性与空间公平性评估方法体系,并以海口市为案例进行实证分析。结果表明：① 基于改进3SFCA法建立的可达性评价模型可以获得更精准客观的评价结果;② 海口市乡村地区公共医疗设施可达性整体较差且空间分异明显,高值区分布在东部的三江、云龙及甲子镇,低值区主要集中在研究区西部;③ 海口市乡村地区公共医疗设施配置的公平性不佳,少量的高和较高公平等级区域均位于中低人口密度区,而低和极低公平等级区域覆盖了广大的高人口密度区,医疗资源配置的公平性亟需改善。     

基于最优供需分配的公共设施空间可达性分析

空间可达性是衡量公共服务设施公平性的重要指标,在医疗、教育、休闲等公共服务的布局规划中得到广泛应用。然而已有设施服务可达性模型难以充分反映服务供需关系,计算指标也缺乏物理意义。本文提出新的最优供需分配的公共设施空间可达性计算方法（OSD）取代现有方法。该方法基于最优供需分配模型,将设施服务分配给需求者,根据分配结果计算空间可达性指标。给定服务设施与需求的空间分布,以最小化旅行成本为目标,顾及设施服务能力,采用经典的运输问题模型确定最优的服务供需分配方案,进而度量服务的空间可达性。以郑州市金水区社区卫生服务为例,求解25个中心与1333个居住小区的最优服务配置。使用最优配置结果确定每个设施的服务范围、每个居住小区使用服务的旅行时间,以及特定时间阈值的服务覆盖比率。与流行的两步移动搜索法相比,新方法的计算指标具有明确的物理意义。本文提出的可达性评价方法无需参数,计算高效,结果易于解释,在公共服务评价及设施布局规划方面具有应用潜力。     

暴雨内涝情景下城市消防服务可达性的精细化评估

为了揭示城市暴雨内涝灾害对应急响应服务功能的影响,论文基于高精度城市洪涝模型(FloodMap)和增强型两步移动搜寻法(E2SFCA),对暴雨内涝灾害影响下上海市中心城区消防服务可达性进行精细化评估。研究结果表明：① 百年一遇暴雨内涝情景下,内涝最严重时积水深度超过50 cm的淹没范围整体呈现“西高东低”分布态势,淹没总面积约1.5 km²,可导致471条路段(约占路网全长5.11%)通行受阻。② 上海市中心城区消防服务可达性的空间差异比较显著,大体呈现出由黄浦江两岸向西北和东南方向递减态势,但在一天中的不同时段,可达性空间格局变化并不明显。③ 与正常天气条件相比,暴雨内涝情景下不可达单元(250 m×250 m)数量显著增多,夜间低峰、早高峰、白天平峰和晚高峰时段分别增加36.32%、35.89%、39.07%和32.01%;从暴雨内涝的过程(全程120 min)上看,在雨峰后半段((30, 45] min)不可达单元数量最多,消防服务可达性的空间差异程度最大。④ 消防服务可达性表现出一定程度的空间集聚特征,其中高值聚集区(“高—高”型)主要位于黄浦江两岸以及浦西边缘地区,低值聚集区(“低—低”型)主要位于西北和西南区域,这2类聚集区呈“团块状”分布,而“高—低”型和“低—高”型集聚均不显著。⑤ 研究区内消防服务可达性与需求的空间失配现象(“低需求—高可达”或“高需求—低可达”)较为明显,而暴雨内涝会加剧空间失配问题。研究结果可为提升城市洪涝灾害管理与应急响应服务的精细化水平提供科学依据。     

基于学籍地址和地理编码的乡村小学教育资源空间可达性分析

基于“学籍信息中的家庭地址承载了学生空间位置”这一假设,通过学籍信息收集了湖南省株洲县小学生的家庭地址,借助高德开放平台提供的地理编码和POI搜索服务,获得到了株洲县小学生的空间位置和分布,并基于最短路径分析和高斯型两步移动搜索法分析了株洲县小学教育资源的空间可达性及其特征,尝试为区域教育资源的空间均衡性分析与规划配置提供新的数据源和方法借鉴。结果表明：① 基于学籍地址和地理编码技术能够较准确地获取株洲县小学生的空间分布。② 株洲县小学生就近入学距离的最大值、平均值和中位数分别为11.83 km、2.10 km和1.81 km,就近入学距离小于2.0 km的学生仅占55.46%,为株洲县兼顾公平和效率的教育资源配置工作带来了挑战。③ 株洲县北部城镇地区因学校数量较多,平均就近入学距离较小,教育资源的空间可达性普遍较高,且空间差异小,均衡性好;而东南部的乡村地区,平均就近入学距离较大,教育资源的空间可达性普遍较低,且空间差异大。④ 基于情景分析,在不造成局地生源稳定性问题的前提下,新增3所学校后,东南部地区的平均就近入学距离和教育资源的空间可达性有很大的改善,龙潭镇和龙门镇的平均入学距离由3784 m和3520 m降低到3116 m和2636 m,教育资源的空间可达性分别由0.0492和0.0982提高到0.0762和0.1496。     

深圳市轨道交通与休闲设施布局的空间协同评估

轨道交通已经成为塑造城市空间结构、组织公共生活的重要手段。在追求线网效率与形态等技术目标的基础上,轨道交通线网布局也越发有必要引入协同性、公平性等理念,寻求轨道交通与城市其他系统在空间上的协同发展,促进公共服务设施依托轨道交通实现公平共享。文章以深圳为案例,采用改进的两步移动搜索法,建构了休闲设施轨道交通可达性模型;按照深圳市轨道交通建设二期（至2011年）、三期第一阶段（至2016年）及三期第二阶段（至2020年）来划分,使用空间可视化、洛伦兹曲线等方法,评估了上述3个不同时段下轨道交通网络与休闲服务设施的耦合关系,比较了轨道交通网络对于休闲服务设施服务人口和空间覆盖面等层面的差异性。研究表明：深圳市轨道交通建设持续提升了城市核心区域休闲设施的轨道交通可达性,外围地区休闲设施轨道交通可达性则经历了先减后增的变化过程。轨道交通建设对于休闲服务设施有显著的空间效应及人口效应,深圳轨道交通可达性前50%的社区约占全市总面积的25%并覆盖全市总人口的40%。研究认为,深圳市乃至其他城市的轨道交通布局应更注重与休闲设施及人口的空间分布进行匹配,重点关注新兴人口增长的区域以及休闲设施资源充裕的区域,促进轨道交通与休闲服务设施协同布局。     

基于改进两步移动搜索法的县域医疗卫生服务空间可达性研究

针对县域医疗卫生服务设施的空间布局问题,应用改进两步移动搜索法对德清县医疗卫生服务的空间可达性进行评价。具体改进包括：引入核密度型距离衰减函数对两步移动搜索法进行扩展、考虑医疗设施资源的未充分利用、对不同规模等级医疗机构设置不同服务阈值。计算结果表明：① 浙江省德清县域医疗卫生服务空间可达性呈圈层式空间分布特征,高可达性区域主要集中于县城及邻接区域,边缘地区缺医明显;② 基于改进两步移动搜索法和传统两步移动搜索法的可达性计算结果具有不同的整体特征,但前者可达性计算结果及空间分布更符合实际。     

Disparities in Spatial Accessibility of Pharmacies in Baton Rouge,Louisiana

This study examines spatial accessibility of pharmacies in Baton Rouge, Louisiana. Two popular geographic information systems (GIS)—based methods are compared: the proximity method uses the distance (travel time) from the nearest pharmacy, and the two‐step floating catchment area (2SFCA) method considers the match ratio between providers and population as well as the complex spatial interaction between them. The study indicates that disproportionally higher percentages of African‐Americans are in areas with shorter travel time to the nearest pharmacies than whites, but suffer from poorer accessibility measured by the 2SFCA method—that is, fewer pharmacies per 10,000 residents. Seniors, particularly those of seventy‐five years or older, tend to be disproportionally concentrated in areas that not only are closer to pharmacies, but also have more pharmacies per 10,000 residents. The two methods used in the study capture different elements in spatial accessibility: one being physically close to a facility and another adding the crowdedness in service. Both properties can be valuable for residents. The two may not always coincide with each other in spatial variability, as it is the case for racial disparity in our study area. However, when they do, as in the case for seniors, it may imply a true (dis)advantage for a demographic group in terms of both properties of spatial accessibility.     

城市绿地空间供需评价与布局优化——以徐州中心城区为例

以徐州市为例,基于0.25 m空间分辨率的Google影像与网络爬虫技术获取空间绿地与居住小区人口;采用两步移动搜索法评价小区尺度的绿地供给情况,结合相关标准分析其空间供需状况;为最大限度减少绿地供给不达标小区数量,用空间启发式算法搜索合适的低效工业地块转换为绿地得到优化的绿地布局。研究发现：徐州中心城区绿地供需存在空间不公平,39%的小区绿地供给小于20.1 m ²的需求标准,供给饱和区主要在云龙湖与泉山森林公园片区,不足区则主要在老城与金山桥片区;绿地空间配置应与人口空间分布保持一致,因此要在高层住宅集聚区配置大中型公园绿地;在空间上选取合适数量与位置的低效工业地块转换为绿地,转换431 hm ²的工业地块可使绿地不达标小区数目减少37个,而得到优化的绿地空间布局。