Implications of Nontraditional Housing Arrangements for Urban Water Management in the United States Intermountain West

Homeowners living in single-family detached housing have dominated the literature exploring drivers of residential water use. Meanwhile, rentals, multiunit buildings, and residences governed by private associations are an increasingly important component of the American residential landscape. We used data from a large sample of households in northern Utah cities to explore the effects of these nontraditional housing arrangements on water use decision-making, attitudes and behaviors, and their implications for urban water management. After accounting for the sociodemographic characteristics of respondent households, we found that residents of nontraditional housing arrangements are much less likely to have authority over key water use decisions, and differ significantly from residents of traditional housing in regards to water use perceptions and concerns, self-reported water behaviors, and support for various local water policy options. Traditional approaches to urban residential water management should be adapted to renters, residents in multiunit buildings, and members of community associations.     

Network-scape metric analysis: a new approach for the pattern analysis of urban road networks

The spatial patterns of road networks reflect the morphological and structural characteristics of cities. Previous studies have focused mainly on seeking universal laws in road networks rather than explaining their differences. A new approach for road network pattern analysis is proposed that has been inspired by landscape metric analysis. The utility of this approach is illustrated through (but is not limited to) the extraction of the main factors in network landscapes, or network-scapes for short. Twenty-four metrics were calculated for network-scapes of 100 cities worldwide, before an exploratory analysis is performed to detect the main factors. Four main factors were revealed and may be regarded as the characteristic indicators of road networks, which were identified to be evenness, richness-density, shape irregularity, and size and shape variation. The meanings of these factors are explained, and their spatial distributions are illustrated. Compared to existing road network analytics, these factors depict better the characteristic differences of road networks. The proposed approach provides a new framework for road network pattern analysis from a cellular perspective.     

社会变革和制度文化制约下的“多尺度嵌入”——以缅甸莱比塘铜矿项目为例

“一带一路”倡议的深入推进加速了中国企业对外投资的步伐。而对于这些“走出去”的企业而言,往往面临着东道国社会环境及治理结构变革、制度制约、文化冲突等多重挑战。此前经济地理学提出的“主动嵌入”和“被动嵌入”,并不能完全解释“一带一路”倡议背景下中国企业在“走出去”过程中所呈现的“外资”与东道国治理结构、地方制度文化环境之间的复杂相互作用关系。本研究构建了“全球-国家-地方”多尺度嵌入的分析框架,以缅甸莱比塘铜矿为例,阐释企业如何通过多样化制度创新,顺应东道国的社会变革,突破制度和文化的制约,从而取得政府、企业、当地社区“多赢”局面的合作模式,从而从新的视角理解制度的多尺度性和尺度之间的相互作用。研究发现：尺度要素之间存在耦合关联作用,且作用模式有不同的组合,同时多个尺度要素的嵌入和影响过程也存在时序效应。最后,结合莱比塘案例,为中国企业“走出去”提出了政策建议。     

Normalised difference spectral indices and urban land cover as indicators of land surface temperature (LST)

Land cover changes associated with urbanisation modify microclimate, leading to urban heat islands, whereby cities are warmer than the surrounding countryside. Understanding the factors causing this phenomenon could help urban areas adapt to climate change and improve living conditions of inhabitants. In this study, land surface temperatures (LST) of Aarhus, a city in the high latitudes, are estimated from the reflectance of a thermal band (TIRS1; Band 10; 10.60–11.19 μm) of Landsat 8 on five dates in the summer months (one in 2015, and four in 2018). Spectral indices, modelled on the normalised difference vegetation index (NDVI), using all combinations of the first seven bands of Landsat 8 are calculated and their relationships with LST, analysed. Land cover characteristics, in terms of the percentages of tree cover, building cover and overall vegetation cover are estimated from airborne LiDAR data, building footprints and 4-band aerial imagery, respectively. The correlations between LST, the spectral indices and land cover are estimated.The difference in mean temperature between the rural and urban parts of Aarhus is up to 3.96 °C, while the difference between the warmer and colder zones (based on the mean and SD of LST) is up to 13.26 °C. The spectral index using the near infrared band (NIR; Band 5; 0.85-0.88 μm) and a short-wave infrared band (SWIR2; Band 7; 2.11–2.29 μm) has the strongest correlations (r: 0.62 to 0.89) with LST for the whole study area. This index is the inverse of normalised burn ratio (NBR), which has been used for mapping burnt areas. Spectral indices using different combinations of the infrared bands have stronger correlations with LST than the more widely used vegetation indices such as NDVI. The percentage of tree cover has a higher negative correlation (Pearson’s r: -0.68 to -0.75) with LST than overall vegetation cover (r: -0.45 to -0.63). Tree cover and building cover (r: 0.53 to 0.71) together explain up to 68 % of the variation in LST. Modification of tree and building cover may therefore have the potential to regulate urban LST.     

A graph-based approach for the structural analysis of road and building layouts

A better understanding of the relationship between the structure and functions of urban and suburban spaces is one of the avenues of research still open for geographical information science. The research presented in this paper develops several graph-based metrics whose objective is to characterize some local and global structural properties that reflect the way the overall building layout can be cross-related to the one of the road layout. Such structural properties are modeled as an aggregation of parcels, buildings, and road networks. We introduce several computational measures (Ratio Minimum Distance, Minimum Ratio Minimum Distance, and Metric Compactness) that respectively evaluate the capability for a given road to be connected with the whole road network. These measures reveal emerging sub-network structures and point out differences between less-connective and more-connective parts of the network. Based on these local and global properties derived from the topological and graph-based representation, and on building density metrics, this paper proposes an analysis of road and building layouts at different levels of granularity. The metrics developed are applied to a case study in which the derived properties reveal coherent as well as incoherent neighborhoods that illustrate the potential of the approach and the way buildings and roads can be relatively connected in a given urban environment. Overall, and by integrating the parcels and buildings layouts, this approach complements other previous and related works that mainly retain the configurational structure of the urban network as well as morphological studies whose focus is generally limited to the analysis of the building layout.     

Spatial-temporal impacts of urban land use land cover on land surface temperature: Case studies of two Canadian urban areas

The surface fabric of urbanized areas, (i.e. its constituent land covers and land uses) plays an essential role in the generation of the urban/rural temperature differences, i.e. the Urban Heat Island (UHI) effect. Land surface information, derived from satellite imagery, and complementary information such as demographics can be used as the basis for an understanding of the atmospheric and surface thermal variations within cities. The results of comprehensive land surface characterizations of two major Canadian urban areas, the Greater Toronto Area and Ottawa-Gatineau, are described. Spatial information, including land cover fraction maps, land use and its historic changes, population density maps are compared with intra-urban surface temperature variations derived from satellite thermal imagery. Three aspects of the impacts of land cover and land use on urban land thermal characteristics are addressed, namely, (a) the relationships between surface temperature and subpixel land cover and population density (b) intra-city seasonal temperature variations and (c) the intensification of the urban heat island effect due to urban built-up land growth.     

Urbanization in China from the end of 1980s until 2010 – spatial dynamics and patterns of growth using EO-data

Urbanization in China has been experiencing a remarkable dynamism in the past 40 years. The most evident implication of urbanization is the physical growth of cities. We analyze urban land growth rates and changes in spatial urban forms from the end of the 1980s to 2010 based on the authoritative National Land Use/Cover Database of China. We present new spatial measures that describe ‘urban land growth types’ and ‘fluctuations in urban land growth’ within the monitoring time span with a temporal interval of five-year steps. We evaluate the correlations between urban land growth rates and socioeconomic data. Results show that (1) distinct characteristics exist on the spatiotemporal evolutions of urban land growth rates in terms of area and perimeter, e.g. coastal areas exhibit the most dramatic growth rates; (2) the spatial distribution characteristics of ‘urban land growth types’ and ‘fluctuations in urban land growth’ follow similar spatial patterns across China, e.g. significant differences exist between the eastern region and other regions; and (3) a moderate correlation exists between urban area growth rate and urban population growth rate at an R² of 0.37. By contrast, we determine no significant correlation between urban area growth rate and tertiary industry value growth rate.     

青州市城乡一体化数据整合集成技术方法研究

随着国土数据的生成和收集技术迅猛发展,海量的数据汇集到国土部门,国土资源领域悄然进入大数据时代,为适应新时期国土工作的新特点,构建数字国土,青州市国土局通过对现有数据的整合构建了城乡一体化地籍信息管理平台,建立了完善的数据采集,更新、查询和应用机制,深入挖掘了数据潜力,实现了土地数据的动态化管理与应用,有力地促进了城乡建设用地统一市场的构建,并且通过系统良好的兼容性与灵活的数据接口形式,将使其成为国土资源数据系统中的重要节点,为国土资源管理进入大数据时代迈出了坚定的一步。     

祝贺高等院校地理信息系统论坛

欣逢2006年高等院校地理信息系统论坛首次在北京胜利召开,谨此表示最热烈的祝贺!     

浅论广州城市景观生态的持续发展

分析广州市的城市景观存在城市建筑群急剧膨胀、城市道路增长迅速,而耕地、水面与绿化面积出现不断减少的劣势,指出这种景观退化带来的城市气候劣变、城市大气恶化以及城市洪水灾害的加剧等的环境变化是广州市持续发展的主要障碍,提出了保持广州城市环境景观持续发展的政策策略和生态措施。