Resilience of Self-Organised and Top-Down Planned Cities—A Case Study on London and Beijing Street Networks

The success or failure of the street network depends on its reliability. In this article, using resilience analysis, the author studies how the shape and appearance of street networks in self-organised and top-down planned cities influences urban transport. Considering London and Beijing as proxies for self-organised and top-down planned cities, the structural properties of London and Beijing networks first are investigated based on their primal and dual representations of planar graphs. The robustness of street networks then is evaluated in primal space and dual space by deactivating road links under random and intentional attack scenarios. The results show that the reliability of London street network differs from that of Beijing, which seems to rely more on its architecture and connectivity. It is found that top-down planned Beijing with its higher average degree in the dual space and assortativity in the primal space is more robust than self-organised London using the measures of maximum and second largest cluster size and network efficiency. The article offers an insight, from a network perspective, into the reliability of street patterns in self-organised and top-down planned city systems.     

The scaling of green space coverage in European cities

Most people on the planet live in dense aggregations, and policy directives emphasize green areas within cities to ameliorate some of the problems of urban living. Benefits of urban green spaces range from physical and psychological health to social cohesion, ecosystem service provision and biodiversity conservation. Green space coverage differs enormously among cities, yet little is known about the correlates or geography of this variation. This is important because urbanization is accelerating and the consequences for green space are unclear. Here, we use standardized major axis regression to explore the relationships between urban green space coverage, city area and population size across 386 European cities. We show that green space coverage increases more rapidly than city area, yet declines only weakly as human population density increases. Thus, green space provision within a city is primarily related to city area rather than the number of inhabitants that it serves, or a simple space-filling effect. Thus, compact cities (small size and high density) show very low per capita green space allocation. However, at high levels of urbanicity, the green space network is robust to further city compaction. As cities grow, interactions between people and nature depend increasingly on landscape quality outside formal green space networks, such as street plantings, or the size, composition and management of backyards and gardens.     

城市绿地对居民身心福祉的影响

城市绿地是人工与自然耦合的城市景观之一,是改善居民居住环境重要组成部分,更是提高居民身心健康的有效途径。以杭州主城区为研究对象,通过GIS技术对城市绿地遥感图像进行解译得到杭州主城区绿地空间布局图,同时,以人口密度为阻力要素,基于交通路网的500m网络距离可达范围内绿地数量和面积作为分类标准。通过对45个高、中、低不同档次的居民区进行问卷调查得到665份居民感知数据并进行统计整理。利用结构方程模型进行以绿地数量及游玩时间为标准的组间分析,区别不同组别的差异及其原因,分析城市绿地数量、面积,居民认知、动机,绿地吸引力等与居民身心健康福祉及满意度之间的关系。结果显示:城市绿地数量、居民游玩绿地次数时间等与居民福祉有显著的正向关系;居民对绿地作用的认知、去往绿地的动机进一步影响居民身心健康福祉;城市绿地的自身引力会激发居民去往绿地的积极性,从而增加去往绿地频次。另外,不同社会属性的个体对绿地需求不同,所产生的福祉效应及满意度也会有所差异。从增加居民区周围的街头绿地及邻里公园数量、提升绿地吸引力、提升居民对城市绿地作用的认知3个方面对城市绿地今后的发展规划提出建议。     

Quantifying street tree regulating ecosystem services using Google Street View

The urban heat island is a particular challenge for tropical cities, which receive year-round high inputs of solar radiation. Plants can help mitigate elevated urban temperatures by providing shade and increasing evaporative cooling, although the resulting increase in humidity may negatively affect thermal comfort. Street trees offer particular potential for cooling urban microclimates, as well as providing other ecosystem services, because they can be integrated within dense urban street networks. However, we have little quantitative information about the role of street trees in providing regulating ecosystem services in tropical cities. In this study, we analysed hemispherical photographs extracted from Google Street View to quantify the proportion of green canopy coverage at 50 m intervals across more than 80% of Singapore’s road network. Canopy coverage data were then used to estimate the proportion of annual radiation that would be blocked from reaching ground level by the canopy. Across all locations, a median of 13% of the annual diffuse and direct solar radiation was shaded, and over 70% of this shading effect was due to the tree canopy. There was significant variation between different urban landuse types, with trees providing more shade in parks and low-density low-rise areas than in industrial and higher-density residential areas. Mapping the provision of street tree ecosystem services could help to prioritise areas for new planting by identifying streets or street sections with low shading. The approach developed in this article could be readily applied to quantify the proportion of canopy coverage and proportion of solar radiation shaded across other tropical cities. The method may also be applicable in temperate cities if Google Street View photographs were collected during the growing season.     

基于景观生态学的辽宁中部城市群绿色基础设施20年时空格局演变

城市绿色基础设施（UGI）作为城市的重要生态屏障,是解决城市环境问题的重要途径。研究快速城市化背景下UGI的时空分布格局及形态演变,对优化城市绿色空间网络与布局、改善城市人居环境和提升城市可持续发展能力具有重要意义。利用谷歌地球引擎（GEE）平台计算了2000-2019年共约4800景Landsat影像的植被指数和水体指数,采用指数阈值分割方法,解译得到了辽宁中部城市群20年的UGI。在此基础上,运用景观格局指数和形态学空间格局分析方法（MSPA）,分析了20年（2000-2019年）连续时间尺度上辽宁中部城市群UGI景观格局的演变趋势。结果表明,20年间,辽宁中部城市群UGI面积呈波动上升趋势,由2000年的170.28 km²增长到2019年275.68 km²,增幅达62%,但由于持续的城市扩张,其占城市建成区面积的比例不断下降,由2000年的25.73%下降到2019年的19.72%,表明城市绿地空间建设滞后于城市空间扩张。研究期内,城市群UGI景观破碎化程度加剧,优势景观斑块的主导性减弱,景观形态趋于不规整且复杂化,且在空间布局上更加分散,景观斑块之间的结合度变差。此外,UGI核心区随城市扩张被逐渐蚕食,并转化为边缘区、桥接区、分支和环岛区等其他类型的UGI或非UGI景观,其占UGI总面积的比例从2000年的46.2%下降到2019年的37.26%;城市边缘区UGI变化最为剧烈,更易受到城市扩张的影响。研究可为快速城市化区域UGI空间网络布局与优化和基于UGI的城市生态安全格局构建提供技术支撑和决策依据。     

Biodiversity on Broadway - Enigmatic Diversity of the Societies of Ants (Formicidae) on the Streets of New York City

Each year, a larger proportion of the Earth''s surface is urbanized, and a larger proportion of the people on Earth lives in those urban areas. The everyday nature, however, that humans encounter in cities remains poorly understood. Here, we consider perhaps the most urban green habitat, street medians. We sampled ants from forty-four medians along three boulevards in New York City and examined how median properties affect the abundance and species richness of native and introduced ants found on them. Ant species richness varied among streets and increased with area but was independent of the other median attributes measured. Ant assemblages were highly nested, with three numerically dominant species present at all medians and additional species present at a subset of medians. The most common ant species were the introduced Pavement ant (Tetramorium caespitum) and the native Thief ant (Solenopsis molesta) and Cornfield ant (Lasius neoniger). The common introduced species on the medians responded differently to natural and disturbed elements of medians. Tetramorium caespitum was most abundant in small medians, with the greatest edge/area ratio, particularly if those medians had few trees, whereas Nylanderia flavipes was most abundant in the largest medians, particularly if they had more trees. Many of the species encountered in Manhattan were similar to those found in other large North American cities, such that a relatively small subset of ant species probably represent most of the encounters humans have with ants in North America.     

Discriminating Different Classes of Biological Networks by Analyzing the Graphs Spectra Distribution

The brain''s structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of complex networks, such as highly connected nodes, modularity, and small-world topology. Recent studies indicate that some pathologies present topological network alterations relative to norms seen in the general population. Therefore, methods to discriminate the processes that generate the different classes of networks (e.g., normal and disease) might be crucial for the diagnosis, prognosis, and treatment of the disease. It is known that several topological properties of a network (graph) can be described by the distribution of the spectrum of its adjacency matrix. Moreover, large networks generated by the same random process have the same spectrum distribution, allowing us to use it as a “fingerprint”. Based on this relationship, we introduce and propose the entropy of a graph spectrum to measure the “uncertainty” of a random graph and the Kullback-Leibler and Jensen-Shannon divergences between graph spectra to compare networks. We also introduce general methods for model selection and network model parameter estimation, as well as a statistical procedure to test the nullity of divergence between two classes of complex networks. Finally, we demonstrate the usefulness of the proposed methods by applying them to (1) protein-protein interaction networks of different species and (2) on networks derived from children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and typically developing children. We conclude that scale-free networks best describe all the protein-protein interactions. Also, we show that our proposed measures succeeded in the identification of topological changes in the network while other commonly used measures (number of edges, clustering coefficient, average path length) failed.     

长三角地区植被覆盖演变城乡差异及其原因

城市生态环境和城市化之间的关系是城市可持续发展的关键。研究不同城市化水平下植被覆盖的长时间演变趋势,对理解城市化过程对植被生长动态的影响,城市更新以及推进城市绿化的科学管理具有重要意义。然而,目前对城市内部沿城乡梯度植被生长趋势差异的认识还比较有限。以我国城市化发展最为强烈的长三角地区为研究对象,基于2000-2020年长三角归一化植被指数数据,采用趋势分析和地理探测器方法,探究了长三角地区城市内部植被覆盖演变城乡差异,并从土地利用/覆被变化和城市化发展的角度解析其成因。研究结果表明：（1）2000-2020年长三角地区植被总体呈绿化趋势,植被明显绿化占最大比例（52.06%）,轻微绿化与稳定不变地区占31.68%,零星分布的褐化区占6.82%。（2）城市老城区植被覆盖变化总体呈现返绿趋势（0.016/10 a）,新城区褐化明显（-0.019/10 a）,农郊区绿化突出（0.023/10 a）。在上海、南京和杭州等人口城市化水平较高的城市中,老城区土地利用变化强度最高,其绿化趋势也最高,体现了城市更新过程对绿地空间的促进作用;而在人口城市化水平相对较低的宣城、蚌埠和阜阳等城市,土地利用变化强度相对较低的农郊区也呈现明显的绿化趋势,更多的是受到区域生态保护的影响。（3）土地城市化是长三角地区老城区和新城区植被覆盖变化的主导因子,而城市化因子对农郊区解释程度总体不显著。从长三角总体区域看,城镇人口比重、不透水面积/总面积以及地区生产总值三者对植被覆盖演变存在显著影响,其中城镇人口比重影响最大。     

中国城市绿色发展水平评价及时空演变

城市绿色发展是实现高质量发展的内在要求,科学评价城市绿色发展水平,把握绿色发展水平的时空演变特征是相关领域研究的前提和基础。基于2003—2019年中国286个地级及以上城市的面板数据,从绿色生产、绿色生态和绿色生活三个方面构建城市绿色发展水平评价指标体系,测算中国城市绿色发展水平,然后通过空间相关分析、热点分析、Dagum基尼系数分解等方法揭示城市绿色发展水平的时空演变特征。结果表明：(1)中国城市绿色发展水平在稳步提升,但仍有很大提升空间。(2)绿色生产指数、绿色生态指数和绿色生活指数逐年增长,平均增长率分别为2.67%、4.61%、1.66%。绿色生态指数对城市绿色发展水平的提升贡献最大,其次是绿色生活指数,绿色生产指数最低,直接拉低了城市绿色发展水平。(3)中国城市绿色发展水平呈现典型的高-高集聚与低-低集聚的正向空间相关。热点区域集中在广东省之外的东部沿海和中部城市。(4)中国城市绿色发展水平的总体差异、区域内及区域间差异均呈现下降趋势,其中区域间差异是总体差异产生的主要来源。     

城市绿化对空气质量的影响研究——以中国27个省会城市为例

城市间绿化程度与空气污染比较及相关差异分析是提出城市环境管理措施的重要前提。选择全国27个主要省会城市,基于网络街景照片测定绿色指数差异,对比空气主要质量指标[空气质量指数(AQI)、细颗粒物(PM_2.5)、可吸入颗粒物(PM₁₀)、二氧化硫(SO_2)、二氧化氮(NO_2)、臭氧(O_3)、一氧化碳(CO)]的基础上,探讨了二者相关关系,旨在为提升环境质量、改善绿化水平提供基础数据。结果表明:(1)济南市和重庆市的绿色指数最高,分别达到是11.70%和11.55%,呼和浩特市和拉萨市城市绿色指数最低,在4%～5%。(2)海口市的空气质量最好,AQI为39.66,郑州市和济南市的空气质量最差,AQI年均值分别为117.34和113.93。但是不同空气指标城市排序间差异较大,比如PM_2.5、PM₁₀、NO_2以及SO_2年平均最低的城市都是海口,拉萨市年平均CO含量最低(0.55 mg·m^-3),哈尔滨市年平均O_3含量最低(77.08μg·m^-3)。(3)相关关系分析发现,增加城市的绿色程度,伴随着空气质量的改善,如沈阳、南宁、合肥等城市;但对于某些城市,则存在明显的正相关,如兰州、昆明、贵阳等城市,这意味着城市越绿伴随着空气污染的加重。尽管大量研究已经表明,城市绿色植被能够起到滞尘降低污染的作用,目前我国主要城市的空气污染程度,仅依靠城市绿化改善已经远远不够,甚至某一些城市绿色植被存在阻碍空气流通的作用。上述研究结果为科学规划城市绿化、提升空气质量提供基础数据支撑。     

中国35个城市行道树树种组成特征研究

明确城市森林树种组成是城市森林建设与管理的基础。以往研究多局限在特定城市或区域，难以准确揭示其普遍规律。本研究基于百度街景选取全国35个主要城市，共设置88 632个样点。并根据地理区域将这些城市划分为北方、南方、青藏和西北城市，比较不同区域城市行道树树种组成差异。结果表明：①基于街景调查我国常用行道树共99种，最常见的是杨树（Populus spp.）、柳树（Salix spp.）、香樟（Cinnamomum camphora）、雪松（Cedrus deodara）和国槐（Sophora japonica）；②我国南方城市行道树种多选用阔叶树如香樟，北方和西北城市行道树则以杨树、柳树和槐树为主，青藏地区行道树以杨树和针叶树为主；③依据10/20/30经验法则，仅有昆明和桂林城市行道树在种的水平上配置较为合理，其他城市植物配置均不合理，尤其克拉玛依市的杨树相对多度高达61.2%，长沙市和杭州市的樟树比例超过树种总数的50%，单个树种优势明显，4个区域行道树树种水平上配置均不合理。今后在行道树种选择时北方、西北和青藏区域城市应减少杨树、柳树、松树和槐树等的利用，南方地区应增加适宜本土生长的其他树木种类。本研究为我国合理规划城市行道树，系统开展多城市对比和综合提升生态服务功能提供了重要参数。     

Urbanization and green space dynamics in Greater Dhaka, Bangladesh

Green space is particularly indispensable for proper functioning of the ecosystem in an urban environment. This study was an attempt to dynamically map and monitor green spaces in Greater Dhaka of Bangladesh. Both primary and secondary data were acquired to document the spatial–temporal dynamics of green spaces in the study area. Using a supervised classification algorithm, multi-temporal land use/cover data were extracted from a set of satellite images. A number of spatial metrics were employed to understand the landscape condition in a multi-temporal manner. In addition, 50 key informants along with focus group discussion and observation techniques were used to document existing management aspects of green spaces and their conservation policies. The analysis revealed that green spaces in Greater Dhaka are rapidly disappearing over the course of time even though they provide a number of natural, economic and social benefits. The disappearance of green spaces was primarily attributed to a rapid increase in the urban population, mainly driven by rural–urban migration. As a result, the landscape became highly fragmented and less connected. A substantial reduction of green patches is also leading to deterioration of the ecological condition of the landscape. The drastic reduction of green spaces in Greater Dhaka has been attributed to a lack of policy, low political motivation, and poor management. In order to ensure sustainability of green spaces and proper functioning of the city’s ecosystem, there is an urgent need for strategic green space planning.     

基于电子导航地图POI的北京城区绿色空间服务半径分析

近年来,电子导航地图中的兴趣点（Point of Interest,POI）在城市地理与城市生态研究方面越来越受到重视。城市绿色空间对其居民的生产生活服务作用十分重要,城市绿地系统的配置是否科学对城市生态系统服务供需情况有着重要影响。利用北京城区五环以内的POI数据,采用核函数模拟出城市居民生产生活在空间分布上强弱程度的热力图,对该区域绿色空间实体不同半径服务区内的热力特征进行耦合分析。研究表明：北京市五环以内绿色空间实体500、750 m和1000 m典型服务半径的覆盖面分别占总面积的77.99%、91.55%和97.46%,从服务供给角度表现出空间分布格局相对均匀;但在绿色空间500 m服务半径内,仅覆盖了POI热力图中极高密度区中51.19%的地区,高密度区中54.78%的地区,中密度区中66.21%的区域,从服务需求角度表现出绿色空间分布格局明显不均衡。研究认为城市绿色空间在POI热度较高区域的主要商圈、人流密集区域匹配明显不足,需要通过增加绿地或疏解POI集中程度来缓解绿色空间供需矛盾。     

Review and application of group theory to molecular systems biology

In this paper we provide a review of selected mathematical ideas that can help us better understand the boundary between living and non-living systems. We focus on group theory and abstract algebra applied to molecular systems biology. Throughout this paper we briefly describe possible open problems. In connection with the genetic code we propose that it may be possible to use perturbation theory to explore the adjacent possibilities in the 64-dimensional space-time manifold of the evolving genome. With regards to algebraic graph theory, there are several minor open problems we discuss. In relation to network dynamics and groupoid formalism we suggest that the network graph might not be the main focus for understanding the phenotype but rather the phase space of the network dynamics. We show a simple case of a C ₆ network and its phase space network. We envision that the molecular network of a cell is actually a complex network of hypercycles and feedback circuits that could be better represented in a higher-dimensional space. We conjecture that targeting nodes in the molecular network that have key roles in the phase space, as revealed by analysis of the automorphism decomposition, might be a better way to drug discovery and treatment of cancer.     

Service accessibility of ecological nodes: An exploratory way to enhance network connectivity in a study case of Wu'an,China

With a background of globalization and urbanization, the population agglomeration puts tremendous pressure on the ecosystem inside and around the city. Compared with ordinary cities, ecological protection for resource-based cities is more urgent. The construction of green infrastructure can alleviate the environmental constraints of urban development to a certain extent., and it contains a vital landscape element, ecological node, which is of great significance. Therefore, the purpose of this paper is to discuss ecological nodes based on different threshold selections of shape and distance to changes landscape network connectivity. Regarding the service accessibility of the green infrastructure network, a new cognition is to break the traditional land-use map and patches, while providing a new reference to enhance network connectivity by ecological nodes depicted as circles as the core, 400 m as the optimal threshold as transmission distance for ecosystem service evaluation and optimization. This new optimization method of ecological nodes strengthens the connectivity of green infrastructure networks through small changes within ecological nodes, reduces the ecological resistance of key positions of green infrastructure networks through land-use change of ecological nodes, in order to improve the ecosystem service connectivity for Wu'an or other resource-based cities.     

Evolving patterns in a collaboration network of global R&D on monoclonal antibodies

We investigated the evolution process of collaborative inter-organizational network of the research and development (R&D) on monoclonal antibody (mAb) over the past 30 y. The annual detection of the collaboration network provides dynamics on network structures and relationship changes among different organizations. Our research showed continuous growth of the network's scale and complexity due to the constant entry of new organizations and the forging of new partnering relationships. The evolving topological features reveal a core-periphery structure that became clearer over time and an increasing heterogeneity within the collaborative mAb R&D network. As measured by the number of network participants, dedicated biotechnology firms (DBFs) were the dominant organization form in the field of mAb development, but their average centrality was reduced during the period of 2004–2009, when pharmaceutical companies took over the positions of DBFs. Along with the network evolution, 2 waves of substitution on the leading positions were driven by technological innovations and mergers and acquisitions (M&A). In addition, this study analyzed organizational-level behaviors to help understand the evolution of network structures over the field of mAb development across the different technologically innovative or economic contexts.     

国外韧性城市形态研究述评

面对突发的自然和人为灾害,城市表现出极大的脆弱性。韧性城市形态被认为是化解城市脆弱性的关键得到关注,梳理国外研究成果对应对我国快速城市化进程中的不确定灾害风险具有重要意义。以韧性城市形态为主题,从概念与特征、形态要素韧性表现、评估及韧性设计等方面追踪国外研究进展。研究结果表明:国外文献重点探讨了形态与自然灾害的关联;韧性城市形态的概念尚未达成一致意见;从宏观、中观、微观空间层次视角探讨城市形态要素韧性表现成果较多;形态要素韧性评估集中于道路网络要素的韧性表现;形态要素韧性设计关键在于空间异质性。基于分析结果可知,我国未来研究重点应集中在全方位构建韧性城市形态研究框架、丰富并拓展形态要素韧性评估方法与技术、重视形态要素空间异质性等方面。     

Colonization and extinction dynamics among the plant species at tree bases in Paris (France)

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