Sweet Auburn: Constructing Atlanta's Auburn Avenue as a Heritage Tourist Destination

Utilizing redevelopment plans created by Central Atlanta Progress, this study explores the process of constructing a heritage tourist landscape on Atlanta's Auburn Avenue. Once home to the wealthiest African American community in the United States, Auburn Avenue went through a period of economic decline in the 1970s and 1980s. In 2000, planners for the City of Atlanta focused on redeveloping the Auburn Avenue corridor. At that time, Central Atlanta Progress began to update plans to convert Auburn Avenue into the United States' premier African American tourist destination. Utilizing those plans, this article argues that the city's redevelopment vision ties into particular aspects of African American identity, which link to neoliberal economic policies in an effort to turn Auburn Avenue into a "culturetainment" district. This vision is juxtaposed against the reaction of community residents who seek an alternative redevelopment vision.     

Sprawl Without Growth in Eastern Germany

This article examines sprawl without growth in former East Germany at a number of different metropolitan scales using a dataset from the Bundesamt für Bauwesen und Raumordnung (Federal Office for Building and Regional Planning). Specific political, social, and economic circumstances in eastern Germany following reunification distinguish it not only from other declining regions, but also from some of its post-socialist neighbors that underwent similar urban spatial transformations after the fall of communism. Explanations for this phenomenon include: increasing incomes and latent demand for housing, which remained suppressed under communism; specific policies adopted after reunification that subsidized greenfield development at the metropolitan fringe; a lack of planning at the local, regional, and state levels in the immediate aftermath of reunification; and changing demographic patterns. Although a number of the factors exacerbating sprawl in the post-reunification period have disappeared, overall demographic decline in eastern Germany continues.     

Night on Earth: Mapping decadal changes of anthropogenic night light in Asia

The defense meteorological satellite program (DMSP) operational linescan system (OLS) sensors have imaged emitted light from Earth's surface since the 1970s. Temporal overlap in the missions of 5 OLS sensors allows for intercalibration of the annual composites over the past 19 years (Elvidge et al., 2009). The resulting image time series captures a spatiotemporal signature of the growth and evolution of lighted human settlements and development. We use empirical orthogonal function (EOF) analysis and the temporal feature space to characterize and quantify patterns of temporal change in stable night light brightness and spatial extent since 1992. Temporal EOF analysis provides a statistical basis for representing spatially abundant temporal patterns in the image time series as uncorrelated vectors of brightness as a function of time from 1992 to 2009. The variance partition of the eigenvalue spectrum combined with temporal structure of the EOFs and spatial structure of the PCs provides a basis for distinguishing between deterministic multi-year trends and stochastic year-to-year variance. The low order EOFs and principal components (PC) space together discriminate both earlier (1990s) and later (2000s) increases and decreases in brightness. Inverse transformation of these low order dimensions reduces stochastic variance sufficiently so that tri-temporal composites depict potentially deterministic decadal trends. The most pronounced changes occur in Asia. At critical brightness threshold we find an 18% increase in the number of spatially distinct lights and an 80% increase in lighted area in southern and eastern Asia between 1992 and 2009. During this time both China and India experienced a ∼20% increase in number of lights and a ∼270% increase in lighted area – although the timing of the increase is later in China than in India. Throughout Asia a variety of different patterns of brightness increase are apparent in tri-temporal brightness composites – as well as some conspicuous areas of apparently decreasing background luminance and, in many places, intermittent light suggesting development of infrastructure rather than persistently lighted development. Vicarious validation using higher resolution Landsat imagery verifies multiple phases of urban growth in several cities as well as the consistent presence of low DN (<∼15) background luminance for many agricultural areas. Lights also allow us to quantify changes in the size distribution and connectedness of different intensities of development. Over a wide range of brightnesses, the size distributions of spatially contiguous lighted area are consistent with power laws with exponents near −1 as predicted by Zipf's Law for cities. However, the larger lighted segments are much larger than individual cities; they correspond to vast spatial networks of contiguous development (Small et al., 2011).     

Development of a 3-D urbanization index using digital terrain models for surface urban heat island effects

This study assesses surface urban heat island (SUHI) effects during heat waves in subtropical areas. Two cities in northern Taiwan, Taipei metropolis and its adjacent medium-sized city, Yilan, were selected for this empirical study. Daytime and night time surface temperature and SUHI intensity of both cities in five heat wave cases were obtained from MODIS Land-Surface Temperature (LST) and compared. In order to assess SUHI in finer spatial scale, an innovated three-dimensional Urbanization Index (3DUI) with a 5-m spatial resolution was developed to quantify urbanization from a 3-D perspective using Digital Terrain Models (DTMs). The correlation between 3DUI and surface temperatures were also assessed. The results obtained showed that the highest SUHI intensity in daytime was 10.2 °C in Taipei and 7.5 °C in Yilan. The SUHI intensity was also higher than that in non-heat-wave days (about 5 °C) in Taipei. The difference in SUHI intensity of both cities could be as small as only 1.0 °C, suggesting that SUHI intensity was enhanced in both large and medium-sized cities during heat waves. Moreover, the surface temperatures of rural areas in Taipei and Yilan were elevated in the intense heat wave cases, suggesting that the SUHI may reach a plateau when the heat waves get stronger and last longer. In addition, the correlation coefficient between 3DUI and surface temperature was greater than 0.6. The innovative 3DUI can be employed to assess the spatial variation of temperatures and SUHI intensity in much finer spatial resolutions than measurements obtained from remote sensing and weather stations. In summary, the empirical results demonstrated intensified SUHI in large and medium-sized cities in subtropical areas during heat waves which could result in heat stress risks of residents. The innovative 3DUI can be employed to identify vulnerable areas in fine spatial resolutions for formulation of heat wave adaptation strategies.     

Investigating the land use characteristics of urban integration based on remote sensing data: experience from Guangzhou and Foshan

Abstract

Urban integration is an increasingly popular phenomenon. It is important to characterize the dynamic processes of urban integration from the perspective of geography. However, previous studies mainly focussed on the overall characteristics of a single entity and failed to consider inter-city influences. Therefore, this study aims to systematically investigate this phenomenon. Firstly, spatial clustering technique and landscape metric were used to analyze the temporal change of spatial layout. Secondly, we built multiple ring buffers of city boundary to reveal the directional differences in urban expansion. Lastly, we compared the observed land use data with the results simulated by cellular automata model. These experiments have shown that the urban expansion characteristics during the urban integration process are rather different from those of a single city, and the above methodology can effectively characterize the urban integration phenomenon. The successful example of Guangzhou–Foshan integration could also provide practical experience for other similar attempts.     

More than planning: Diversity and drivers of institutional adaptation under climate change in 96 major cities

A key challenge for effective, ongoing urban climate adaptation is to adapt institutions within urban governance. While an extensive foundation of empirical knowledge on urban climate adaptation has accumulated over the last decade, our image of institutional adaptation continues to be dominated by a focus on planning. Whilst understandable, this can obscure a fuller range of areas in which institutional adaptation to climate change is being pursued. Furthermore, methodological path dependency in large-N analysis via a common focus on analyzing formal planning documents risks a skewed perspective as such documents may only offer a partial view. Building on the rich range of work to date assessing climate adaptation in cities, and notwithstanding continued major gaps such as in small-medium cities, we now need to find ways to examine the diversity of institutional adaptation occurring in practice, and to comparatively draw on the situated interpretive knowledge of case experts within individual cities to do so. With this aim in mind, this paper explores institutional adaptation in a specific domain (urban water) in a sample of 96 major cities across six continents through a survey of 319 case experts, examining the diversity of institutional adaptation across contexts and exploratively probing its drivers. Findings show that multiple forms of institutional adaptation are being jointly pursued in cities across all continents, leaning towards ‘softer’ rather than ‘harder’ forms, but nonetheless revealing a wide range of activity. Patterns in drivers suggest a political explanation for institutional adaptation (e.g. involving change agents and political pressure) rather than a rational one (e.g. involving response to climate-related risks and/or extreme events). Overall, there is a need to combine parsimony with expanded interpretive sensibility in advancing large-N research on institutional adaptation diversity in comparative perspective.     

东阿县城区地热资源开发利用浅议

东阿县位于山东省西南部,隶属于聊城市。东阿县城区目前易于开发利用的地热资源主要分布在西北部,热储层主要为新近系明化镇组中下部和馆陶组。热源以正常的地温传导为主,深部热流沿断裂带上涌及断裂活动产生的热量也是区内增温热源[1]。     

Quantitative urban climate mapping based on a geographical database: A simulation approach using Hong Kong as a case study

The urban environment has been dramatically changed by artificial constructions. How the modified urban geometry affects the urban climate and therefore human thermal comfort has become a primary concern for urban planners. The present study takes a simulation approach to analyze the influence of urban geometry on the urban climate and maps this climatic understanding from a quantitative perspective. A geographical building database is used to characterize two widely discussed aspects: urban heat island effect (UHI) and wind dynamics. The parameters of the sky view factor (SVF) and the frontal area density (FAD) are simulated using ArcGIS-embedded computer programs to link urban geometry with the UHI and wind dynamic conditions. The simulated results are synergized and classified to evaluate different urban climatic conditions based on thermal comfort consideration. A climatic map is then generated implementing the classification. The climatic map shows reasonable agreement with thermal comfort understanding, as indicated by the biometeorological index of the physiological equivalent temperature (PET) obtained in an earlier study. The proposed climate mapping approach can provide both quantitative and visual evaluation of the urban environment for urban planners with climatic concerns. The map could be used as a decision support tool in planning and policy-making processes. An urban area in Hong Kong is used as a case study.     

基于ASTER数据的城市热环境遥感监测研究

以ASTER数据为数据源,采用同一颗卫星上的MODIS数据得到大气透过率;利用可见光和近红外波段对下垫面类型进行分类和利用JPL(Jet Propulsion Lab)提供的光谱库计算地表比辐射率,进而采用劈窗算法进行地表温度(Land Surface Temperature,LST)的反演。在此基础上,利用反演的LST、分类结果和归一化差值植被指数(NDVI),对沧州地区的城市热环境进行了定量分析,研究结果可为进一步深入探讨城市热岛的发生发展规律以及城市热环境的模拟调控、优化布局提供一定的科学依据。     

天津三维城市地质信息系统数据库建设技术要求的探讨研究

天津三维城市地质信息系统融海量数据管理、分析评价和信息发布功能为一体,是天津市地质工作信息数据维护、发布和长期动态服务于经济社会发展的基础性、综合性的平台。数据信息的统一、规范是该平台功能发挥的关键。本文从天津城市发展对地质成果信息的需求出发,提出城市地质信息系统各类专业数据库建设的技术要求,以满足系统分析评价、三维模型建立精度,实现从源头保证各类数据有序入库,终端输出的各类信息真实可信,确实为各部门提供决策依据。