近15年来国外居民健康的邻里影响研究进展——基于CiteSpace软件的可视化分析

为了全面地分析国外居民健康的邻里影响研究新进展,基于CiteSpace可视化工具,分析Web of Science数据库中2002―2016年以来613篇主题为“居民健康的邻里影响”的文献,以揭示影响居民健康的重要环境因素,为中国健康城市规划提供依据。研究发现：1）近15年来国外居民健康的邻里影响研究关注度持续上升,研究主题集中,主要关注建成环境和社会环境2个方面;2）建成环境和社会环境一方面通过塑造居民交通出行方式、体育锻炼习惯、饮食习惯、生活态度以及心理状态等路径作用于居民健康,另一方面通过压力的累积、资源获取的受限等对健康产生影响;3）目前研究方法主要通过横向研究构建健康行为、相关疾病与环境要素之间的多元量化模型来实现,纵向研究较少。最后对中国居民健康的邻里影响研究提出3点建议。     

面向社区生活圈构建的郊区居民社区依赖性研究——以上海市为例

在郊区化和社区生活圈构建的背景下,提高郊区居民日常生活对社区空间的依赖性对于缓解城市发展压力、提高居民生活质量和满意度有重要意义。论文将功能性依赖和情感性依赖2个维度相结合,构建研究框架,将居民的社区依赖性划分为社区依赖、社区依靠、社区认同和社区排斥4种类型。以上海市为案例地区开展实证研究,基于2017年郊区居民行为调查的一手数据,分析居民功能性依赖和情感性依赖的基本特征及其群体间差异,并利用多项Logistics回归模型,研究社区空间特征对社区依赖性的影响。对不同群体和不同社区特征下社区依赖性的模式进行总结,以期为郊区社区生活圈规划提供研究依据。研究结果表明：不同群体的社区依赖性特征存在显著差异,小汽车拥有情况对于功能性依赖和情感性依赖的作用方向相反;社区设施密度主要影响居民对社区的功能性依赖;社区绿地率对功能性依赖和情感性依赖都有显著的积极影响;居民对社区的主观评价主要影响情感性依赖。社区生活圈的规划应改善社区环境质量,合理配置绿地、开敞空间和休闲设施,提高社区商业设施等级和质量,同时也要注重加强社会环境的建设。     

Strategies for real-time spatial analysis using massively parallel SIMD computers: an application to urban traffic flow analysis

Abstract

The current research focuses upon the development of a methodology for undertaking real-time spatial analysis in a supercomputing environment, specifically using massively parallel SIMD computers. Several approaches that can be used to explore the parallelization characteristics of spatial problems are introduced. Within the focus of a methodology directed toward spatial data parallelism, strategies based on both location-based data decomposition and object-based data decomposition are proposed and a programming logic for spatial operations at local, neighborhood and global levels is also recommended. An empirical study of real-time traffic flow analysis shows the utility of the suggested approach for a complex, spatial analysis situation. The empirical example demonstrates that the proposed methodology, especially when combined with appropriate programming strategies, is preferable in situations where critical, real-time, spatial analysis computations are required. The implementation of this example in a parallel environment also points out some interesting theoretical questions with respect to the theoretical basis underlying the analysis of large networks.     

Multilevel built environment features and individual odds of overweight and obesity in Utah

Based on the data from the Behavioral Risk Factor Surveillance System (BRFSS) in 2007, 2009 and 2011 in Utah, this research uses multilevel modeling (MLM) to examine the associations between neighborhood built environments and individual odds of overweight and obesity after controlling for individual risk factors. The BRFSS data include information on 21,961 individuals geocoded to zip code areas. Individual variables include BMI (body mass index) and socio-demographic attributes such as age, gender, race, marital status, education attainment, employment status, and whether an individual smokes. Neighborhood built environment factors measured at both zip code and county levels include street connectivity, walk score, distance to parks, and food environment. Two additional neighborhood variables, namely the poverty rate and urbanicity, are also included as control variables. MLM results show that at the zip code level, poverty rate and distance to parks are significant and negative covariates of the odds of overweight and obesity; and at the county level, food environment is the sole significant factor with stronger fast food presence linked to higher odds of overweight and obesity. These findings suggest that obesity risk factors lie in multiple neighborhood levels and built environment features need to be defined at a neighborhood size relevant to residents' activity space.     

转型期北京社区公共空间对邻里交往的影响机理：本地居民与移民的对比分析

利用2017年北京市36个小区的居民问卷调查数据,并基于POI数据测量小区尺度上步行道、公园、交通站点、商业设施、学校5类公共空间与设施的可达性,采用结构方程模型考察社区公共空间对本地居民、外来移民邻里交往的不同影响作用和机理。研究发现,在城市转型与居住分异的背景下：典型公共空间（步行道、公园）在促进邻里交往的作用上不如交通站点、商业设施等准公共空间设施;相较于外来移民,本地居民的邻里交往水平更容易受到社区公共空间的影响。     

居住区环境与噪音污染对居民心理健康的影响——以北京为例

心理健康作为当代城市居民面临的主要问题之一,已有研究证实居住区建成环境和社会环境对心理健康的影响。然而,此类研究主要聚焦于西方发达国家,而且对于噪音污染因素考虑不足,未能同时研究居住区环境和噪音污染对居民心理健康的影响。论文基于2017年北京市26个居住区居民的健康问卷调查数据,采用多层Logistic模型,探讨居住区环境(包括建成环境及社会环境)与居民感知的多种来源的噪音污染(包括道路交通噪音、轨道交通噪音、商店餐饮噪音和住房装修噪音)等多种因素与居民心理健康的相关关系。研究发现,居住区环境和噪音污染水平均与居民心理健康显著相关。与西方发达国家居住区环境与心理健康关系的研究类似,论文发现居住区医疗设施和休闲娱乐设施可达性、居民邻里关系、居住区满意度等因素与心理健康显著相关;不同的是,论文发现公园可达性、居住区交通噪音等因素与心理健康相关性不显著。此外,本文发现住房装修噪音是影响北京居民心理健康的主要噪音来源。     

Using ESDA with social weights to analyze spatial and social patterns of preschool children's behavior

To study the development of spatial and social behavior of preschool children, micro-level spatiotemporal data were collected for the first time in both spatial and social context using a novel behavioral coding system. These unique behavioral data enable us to explore the group-level, dynamic, spatial, and social patterns of preschool children's playing behavior from a hybrid geographic and social perspective. In this research, GIS and exploratory spatial data analysis (ESDA) techniques are employed together to study group-level spatial and social behavior emerging from children's everyday activities and interactions. ESDA with social weights is proposed to explore spatial and social patterns of preschool children's behavior at the same time. The results highlight the utility of this approach for studying the relationships between preschool children's playing behavior and preschool's environmental settings and the relationships between preschool children's personal activities and the formation of their social network space.     

日常活动地建成环境对老年人主观幸福感的影响

建成环境对老年人主观幸福感的影响是老龄化地理学的热点话题,仅从居住地视角探讨建成环境影响可能导致研究结果偏差。为更精确揭示老年人日常活动所处场所建成环境与主观幸福感的关系,利用问卷调查等数据,基于老年人日常活动的时空模式及活动地建成环境特征,采用逻辑回归模型对比不同日常活动地建成环境要素对广州市老年人主观幸福感的影响。研究发现：老年人的主观幸福感受到不同活动地建成环境的共同影响,其中,居住地与日常活动空间建成环境对老年人主观幸福感影响的模型伪R²最大,而维护性活动地与休闲性活动地能反映出仅考虑居住地视角下忽略的部分建成环境变量。由于老年人在不同活动地的停驻时长、频率和目的不同,日常活动地建成环境对老年人主观幸福感的影响机制也存在差异,主要通过影响不同活动地相应的活动机会和出行环境产生作用。结论从老年人群日常活动的角度补充了时空间行为研究,有助于为老年主动健康服务供给与老龄宜居城市建设提供科学支撑。     

城市建成环境对居民身体活动的影响研究进展与启示

城市建成环境与身体活动关系是城市系统人地关系在健康领域的一种现实表现,两者之间的良性互动关乎城市公共健康的发展与管理水平,是健康地理学新近研究热点。论文基于地理学空间视角,从空间组织、空间格局、空间功能3个维度论述了国内外城市建成环境对居民身体活动影响的研究进展。结果表明,国外研究取得了诸多成果：① 理论与方法上,社会生态理论应用最为广泛,不断被修正和拓展。而基于移动-活动行为理论的建成环境与身体活动关系研究日益成为新视角。同时,一些复杂计量回归模型、空间回归模型得到较多应用。② 实证研究上,重点关注城市建成环境空间组织、空间格局、空间功能一系列特性对不同人群身体活动水平、类型的影响。空间组织上主要集中在交通组织、绿地网络等组织类型,以及可达性、连通性等空间联系的影响研究。空间格局上强调能级差异下建成环境要素集聚多寡,空间外部几何形态表征、指示对身体活动产生的相应影响研究。空间功能上多探究混合性、单一功能构成和主客观功能品质的影响研究。国内相关研究主要集中在地理学、城市规划学、体育学等领域,尚处于初步介绍国外相关研究成果和少量实证研究阶段,缺少基于本土的理论提升及典型案例研究。最后,论文从理论、方法、实证上探讨地理学视角下未来研究重点：基于“天人合一”理念的理论提升;基于多源数据融合和时空计量的研究新方法;基于虚实交互空间和本土语境下的实证研究。     

邻里目的地建成环境对老年日常活动机会的影响——基于感知和参与视角

老年人的日常活动水平与身心健康密切相关,且受到多种邻里目的地空间的复杂干预。但目前研究较少关注到老年人的活动机会特征和以邻里目的地为中心的建成环境范围。论文结合“城市人”理论,从老年人的生存、接触和社交等需求出发,以大连市主城区为例,基于老年人对日常活动感知和参与数量的问卷调查数据,并选取商业服务设施、医疗卫生设施、教育设施和休闲娱乐设施作为老年人潜在接触的邻里目的地,借助聚类分析、线性回归和Logistic回归模型探究活动机会类型及其建成环境影响因素。研究结果表明：老年日常活动机会可分为旁观型、目标型和活跃型3类;商业服务设施对活动感知、休闲娱乐设施对活动参与有显著影响;医院的环境适宜性对旁观型老年人、商场的空间区位条件对活跃型老年人分别存在较大的作用效应。研究结果可为精细化地建设老龄友好城市提供新思路。     

城市微环境与盗窃犯罪关系研究进展

城市微观社会环境和微观建成环境（即“城市微环境”）失序是影响盗窃犯罪时空格局和形成机理的两大关键因素,直接影响犯罪的机会、成本和手段,掌握微环境与盗窃的关系是CPTED、犯罪地理学的核心内容。本文聚焦国内外城市微环境与盗窃关系的研究进展,系统梳理了影响盗窃时空分异的城市微环境特征,总结了微环境的测度方式。总体上有4类问题待解决：① 当前利用手机大数据求算的环境人口指标主要为人口数量和流动性,少有从人口属性、社交规律等方面深层刻画微观社会环境。② 缺乏对微观建成、社会环境的系统性整合,易导致伪相关或不相关。③ 西方犯罪学理论的“本土化”实证研究不够充分,理论内涵和概念存在本土操作化困难,中国实证研究产生的“本土”知识对西方理论有补充性和挑战性,但还需“国际概念化”。④ 街景已被用于微观建成环境的虚拟测量,但随机选取测量地点的做法因未顾及微观社会环境的非均衡性而缺乏针对性。未来有4方面研究趋势：① 与公安部门紧密合作,结合敏感数据,刻画微观尺度人口属性、社交规律等特征,拓展“风险人口”的概念外延,准确反映微观社会环境,开展理论和政策导向的实证研究。② 耦合微观社会和建成环境,从社会、环境、行为等多维理论层面辨析两种微观环境的互嵌依据和耦合路径,诉诸“大”数据刻画“微”环境,探索微环境对盗窃的条件交互机制和尺度依赖性。③ 把握犯罪学理论内涵,兼顾中国城市社会情境,开发理论核心概念“本土”操作化新可能。④ 持续发展基于街景的远程化、虚拟化、自动化、智能化建成环境观测手段,注重针对性采样和系统性整合研究。     

Korean Americans in Los Angeles: Decentralized Concentration and Socio‐spatial Disparity

This study analyses the socioeconomic and demographic make‐up of Koreans in Los Angeles metropolis, the largest hub of Koreans in the United States, to better understand the decentralized concentration of Koreans by addressing their within‐ and among‐group variations. By employing the rarely used measures of correspondence and typology analyses, we delineate the boundaries for Korean clusters using Getis and Ord G* local statistic, wherein each cluster's neighborhood and demographic characteristics are compared to gain nuanced insights of within‐group variations, and its evolution during 1970–2010. Cluster level analysis of Koreatown suggests that even though it was classified as a Korean cluster, Korean Americans were unevenly distributed across these clusters, with underrepresentation in white‐dominant neighborhoods, whereas much of their intraurban spaces were shared with Hispanics. All clusters except extended Koreatown exhibited Li's ethnoburb‐style spatial patterns. The Koreatown and suburban clusters were also distinct in terms of their demographic/ethnic, socioeconomic, educational, age/life cycle, and housing characteristics, suggesting socio‐spatial polarization. Our analysis, challenges the commonly perceived notion of Koreans being a homogenous group and Asians being model minorities. We illustrate significant within‐group differences among the Koreangelos. We, thus, propose innovative measures to analyze population groups to flesh out rich narratives of America's fast changing social geographies.     

Taming a “chaotic concept”: gentrification and segmented consumption in Brooklyn, 2002–2012

Public debate and prior scholarship tend to emphasize the link between gentrification and high-end chain retail, underscoring the importance of taste cultures tied to social class in making sense of gentrification’s impact on neighborhood identity. In this study, we present evidence from 10 years of change in the businesses of Brooklyn, New York City, a period of extensive gentrification across a wide variety of neighborhood and census-tract level contexts. Adopting census tracts clustered in neighborhoods as the units of analysis, we model the effects of institutional and demographic change on two separate outcomes: chain retail density and homogeneity in the types of goods and services available. We argue that changes in consumer culture embedded in broader processes of gentrification are neither “chaotic” nor “unitary” but are “segmented” according to local spatial and demographic context, taking two discrete forms: institutionally facilitated corporatization; lifestyle-driven homogenization.     

多尺度交通出行碳排放影响因素研究进展

减少交通出行碳排放是全球共同面对的重大议题之一,同时也是城市和交通可持续发展的重要目标。论文首先基于文献计量方法对近20年来的全球交通出行碳排放研究现状与趋势进行梳理与分析,在此基础上,分别从国家、城市和社区3个尺度对国家交通能源消耗及其碳排放的驱动力因素、城市形态对交通碳排放的影响以及社区建成环境对居民出行碳排放的影响研究进行了文献综述与归纳凝练。研究发现：① 国家尺度的研究早期大多基于时间序列数据,采用分解法探究交通能源消耗的主要驱动力;近年来,研究进一步根据能源消耗数据“自上而下”地测算交通碳排放,并通过构建面板数据模型探究社会经济、城市形态和交通发展因素对交通碳排放的影响。② 城市尺度的研究早期围绕紧凑城市是否一种低碳的城市形态而进行讨论,主要使用截面数据和相关分析方法;近年来,进一步拓展使用情景预测、GIS空间分析、空间回归、空间模拟等方法探究城市交通碳排放的空间差异及其与城市形态、城市中心分布形式之间的关系。③ 在社区尺度,研究多以截面、非集计的问卷调查数据为主,采用定量的数学模型探究居民社会经济属性和人口密度,土地利用混合度,与就业地、城市中心的距离,路网与交叉口密度、公共交通供给水平等建成环境要素对居民出行碳排放的影响。最后有针对性地提出了未来中国城市交通出行碳排放影响因素的研究趋势。     

The research plan of the National Center for Geographic Information and Analysis

Abstract

In August 1988 the U.S. National Science Board established a National Center for Geographic Information and Analysis. This paper, which is adapted from the proposal of the successful consortium, describes a multi-year research agenda built around the recognition of impediments to the successful application of geographical information systems technology. The impediments range in nature from technical to institutional and are organized into five major areas: spatial analysis and spatial statistics, spatial databases, artificial intelligence and expert systems, visualization, and social and economic issues. The Center's research programme consists of a series of initiatives in specific areas, which are designed to last for periods of up to two years and to address the removal of recognized impediments.     

城市建成环境对广州市居民幸福感的影响——基于15 min步行可达范围的分析

人民群众幸福感的提升,是新型城镇化的落脚点,改善人居环境是城镇化质量提升的必然要求。既有的社区环境与居民幸福感关系的研究大多基于行政管辖范围评估社区的建成环境状况,且忽视了城市建成环境影响居民幸福感的中间机制。论文基于广州市23个社区采集的问卷调查数据,利用多层线性回归模型、中介效应分析和分层分析,识别影响居民幸福感的建成环境因素,揭示了居住满意度所起到的中介作用,尤其关注缓冲区的重新划定对分析结果的影响,以及建成环境对幸福感影响的异质性效应。结果表明：① 相较于行政管辖范围和1000 m面要素缓冲区,基于15 min步行可达范围所提取的建成环境指标与居民主观幸福感的关联程度更高;② 人均绿地面积、POI点密度与居民幸福感呈正相关关系,人口密度与幸福感呈负相关关系;③ 居住满意度在POI点密度与居民主观幸福感之间的关系中发挥了完全中介作用;④ 异质性分析结果表明,社区建成环境与个体幸福感的关联程度因居民的户籍、住房产权和就业情况不同而呈现显著差异。     

Analyzing Accessibility Using Parcel Data: Is There Still an Access–Space Trade-Off in Long Beach,California?

This article analyzes the impact of changing housing and neighborhood characteristics on the accessibility of neighborhood businesses using Long Beach, California, as a case study. Although advocates of smart growth and New Urbanism encourage land use mixing, aggregate-level analysis can be too coarse to pick up on fine-grained aspects of urban streetscapes. This study uses assessor parcel records and a point-based business establishment data set to analyze city-wide patterns of accessibility from individual dwelling units to thirty-one types of neighborhood businesses, including grocery stores, service shops, drug stores, doctor's offices, and banks. Regression results compare parcel-level and neighborhood-level drivers of accessibility between 2006 and 2015 to gauge the aggregated effect of recent economic, demographic, and built environment changes on this aspect of urban spatial structure. Larger homes in older, multiunit buildings and higher income neighborhoods show substantial increases in accessibility to most establishment types, suggesting a trend toward both greater accessibility and larger dwelling units—despite the traditional trade-off between access and space. Although gradual increases in home and business density increased overall accessibility over this period, weaker neighborhood-level results indicate that this trend is less pronounced in high-poverty and non-white areas.     

Testing local spatial autocorrelation using k-order neighbours

The analysis of local spatial autocorrelation for spatial attributes has been an important concern in geographical inquiry. In this paper, we propose a concept and algorithm of k-order neighbours based on Delaunay's triangulated irregular networks and redefine Getis and Ord's (1992) local spatial autocorrelation statistic as G_i(k) with weight coefficient w_ij(k) based on k-order neighbours for the study of local patterns in spatial attributes. To test the validity of these statistics, an experiment is performed using spatial data of the elderly population in Ichikawa City, Chiba Prefecture, Japan. The difference between the weight coefficients of the k-order neighbours and distance parameter to measure the spatial proximity of districts located in the city centre and near the city limits is found by Monte-Carlo simulation.     

Modelling uncertainty and spatial dependence: Stochastic imaging

Abstract

The most vibrant area of research in geostatistics is stochastic imaging, that is, the modelling of spatial uncertainty through alternative, equiprobable, numerical representations (maps) of spatially distributed phenomena. These stochastic images are conditioned to a variety of data accounting for their specific measurement scale and reliability.

Any geostatistical prediction is built on a prior model of spatial correlation that ties data to unsampled values and, equally importantly, unsampled values at different locations together. Since a major goal in the exercise of mapping is to display organization in space, spatial correlation is a necessity. As for uncertainty it is so pervasive that it is imperative to account for it.     

A Spatial Variant of the Basic Reproduction Number for the New Orleans Yellow Fever Epidemic of 1878

A spatial variant of the basic reproduction number (R₀), here defined as the number of subsequent deaths attributed to an initial mortality, can be used to identify geographic variation within an epidemic. A spatial R₀ was calculated at the neighborhood level, here defined by a 50‐m buffer surrounding an index case, for mortality data from the 1878 yellow fever epidemic of New Orleans. The highest number of secondary mortalities linked to a neighborhood index case was twelve, with a further eighty‐seven extrapolated morbidity cases. Results also highlight the importance of multideath residences and cultural contacts in neighborhood‐level disease spread.