基于共享单车轨迹的精细路网更新方法

城市道路数据的完整性和实时性是保障位置服务和规划导航路径的关键支撑。该文提出一种基于共享单车轨迹数据的新增自行车骑行道路自动检测和更新方法:首先,结合缓冲区方法和轨迹—路网几何特征检测增量轨迹;其次,基于分段—聚类—聚合策略提取更新路段,利用多特征融合密度聚类算法与最小外包矩形骨架线法提取增量道路中心线;最后,基于拓扑规则完成道路更新。以广州市共享单车轨迹为例,将该方法与传统栅格细化法进行实验对比,结果表明:该方法能有效更新道路网络,且在2 m和5 m精细尺度范围内提取的新增道路覆盖精度提升14%左右;在7 m尺度下精度达90%以上,在10 m尺度下精度达96%以上。     

基于复杂网络的道路网拓扑结构信息度量

地图是空间信息传输的重要工具,地图拓扑结构信息的有效度量对地图更新、多尺度表达、制图综合等十分重要。信息熵已被用于描述地图信息,但对地图拓扑结构信息熵的研究多局限于单一层次或尺度,缺乏系统、多层次、多尺度刻画地图结构复杂性的方法。该文以道路网为例,基于复杂网络理论,从整体与局部两个层次,考虑网络的集聚性、连通性、可达性及邻域完整性特征,构建地图拓扑结构信息熵指标,将其用于不同模式道路网及其对应同等规模的随机网络的结构特征定量描述。结果表明该方法能揭示道路网内在的小世界与无标度网络结构特征,并可有效刻画不同模式道路网的结构差异,可用于制图综合、多尺度表达、地图更新设计等。     

城市道路网络的小世界特征研究

小世界模型为研究城市道路网络的拓扑结构和内在特征等提供了新的视角和方法。该文采用原始法(primalapproach)对城市道路网络进行适度抽象,利用ArcGIS 9.0和Matlab 7.0分别处理和计算城市道路网络的空间数据和属性数据,进而探索其小世界特征。以无锡市新区为例,研究该区整体城市道路网络的小世界特征,选取特征各异的局部网络,并对其小世界特征进行比较分析。结果表明,无锡市新区城市道路网络具有较小的特征路径长度和较大的聚类系数,为典型的小世界网络;局部道路网络均具有小世界特征,其显著程度与道路网络的空间结构特征具有一定相关性;疏密适宜的道路网络具有突出的小世界特征,是规划布局的可行方向,可为城市道路网络优化提供指导。     

城市复杂道路网的Stroke生成方法

传统连接stroke的方法在处理表达较为详细的城市道路网数据时,会产生双行道分离和环岛处截断等错误.为能够在城市复杂道路网中正确生成stroke,针对道路网中的双行道和道路交叉口模式提出一种新的stroke生成方法.该方法采用道路街区几何形态分析、基于连通关系的层次聚类等算法自动识别出道路网中的双行道和道路交叉口模式,并使用穷举stroke配对组合算法连接截断的stroke,从而保证stroke的连续性.以武汉市NAVIN-FOTM导航电子地图数据为例验证该方法的实用性,生成的stroke符合stroke感知归组原则中平滑连贯的要求.     

城市道路网络特征对交通事故作用机理的研究进展

机动交通快速发展背景下城市道路交通安全问题日益严峻,道路网络作为影响区域交通流与居民交通出行行为的关键因素,对区域交通事故的数量、类型和空间分布具有重要影响。论文从道路布局形式与几何拓扑特征2个方面归纳总结城市道路网络特征对交通事故的作用机理,并通过梳理道路网络与交通出行行为的关系分析其对交通事故的潜在影响。研究指出,格网型、平行曲线型、回路尽端型等道路网络布局形式以及中心性、连通性等道路网络拓扑指标,对交通事故的类型、频率和严重程度的影响存在差异性和空间尺度效应;合理的交叉口密度、路网密度、街区密度等道路网络几何特征对于提升交通安全水平具有重要作用。未来研究需要进一步运用复杂网络理论刻画道路网络的结构、功能等特征,在控制居住自选择效应的基础上,从交通出行行为视角深入分析复杂道路网络对交通事故的作用机制与非线性影响,同时考虑道路网络特征与建成环境的潜在交互作用。     

基于MapX的最优路径分析

现有基于MapX的最优路径分析,对于TAB格式数据拓扑信息的提取方法单一,且未考虑导航特征。该文结合道路导航特点,提出了一套基于MapX的最优路径分析解决方案。首先由TAB格式数据提取拓扑信息,为最优路径分析奠定数据基础;然后针对导航的特征,即最优路径分析的起点和终点可能出现在道路网外,着重讨论了对于Dijkstra算法的拓展。     

基于GDF的道路网完全拓扑生成算法

拓扑关系生成是导航空间数据库构建的一个关键环节。该文根据ISOGDF4.0的要求和道路网拓扑关系的特点,研究了一种道路网完全拓扑关系的生成算法,即根据点的几何坐标生成结点—边拓扑关系的算法,以及从标识点出发利用Qi算子生成部分非传统面拓扑关系的算法。实验表明,此算法的时间效率较高,特别是部分面拓扑关系的定义及生成算法能满足实际导航应用的需要。     

道路网移位的Snakes模型参数设置方法研究

基于Snakes模型的移位算法是一种适合线状地图要素移位的全局最优化算法,该算法的移位效果在一定程度上依赖于Snakes模型形状参数(弹性参数α和刚性参数β)的设置,但目前仍缺少定量化的参数设置方法。为改善该算法的移位效果,该文提出了一种顾及道路要素等级属性和局部弯曲特征的Snakes模型形状参数优化设置方法。该方法分别建立了Snakes模型的形状参数与道路等级属性、道路内部各段弯曲曲率之间的定量关系,从而可在移位过程中更好地顾及道路要素的语义特征和图形特征。实验中,采用ArcGIS Engine二次开发实现了相应的道路网移位程序,并对某山区部分道路网进行移位处理,与原有算法相比,移位效果有所改善。     

基于GDF的道路网完全拓扑生成算法

拓扑关系生成是导航空间数据库构建的一个关键环节。该文根据IS0GDF4．0的要求和道路网拓扑关系的特点，研究了一种道路网完全拓扑关系的生成算法，即根据点的几何坐标生成结点—边拓扑关系的算法，以及从标识点出发利用Qj算子生成部分非传统面拓扑关系的算法。实验表明，此算法的时间效率较高，特别是部分面拓扑关系的定义及生成算法能满足实际导航应用的需要。     

基于GIS的甘肃省道路网密度分布特征及空间依赖度分析

以甘肃省为研究对象,从道路网出发,结合甘肃省社会经济因素,以县(区)为单元,运用GIS理论方法计算甘肃省道路网密度,并分析了道路网密度与人口密度、GDP密度之间的相关性,考虑到道路网建设还受资源、产业结构、道路网建设政策及其它运输方式的影响,提出了道路网依赖-偏好指数。在此基础上,分析了甘肃省道路网密度和依赖—偏好指数分布及空间特征。结果表明:①甘肃省道路网密度以兰州市、嘉峪关市为中心向外衰减,道路网密度整体分布东南比西北高,东南比西北均匀;②道路网密度与人口、生产总值等社会经济因素相关性很高,受经济发展水平和道路建设政策影响很大;③5.75%的县区属于超强依赖或超强偏好型,20.68%的县区属于强依赖或强偏好型,62.7%的县区属于中等依赖或中等偏好型,8.05%的县区属于较弱依赖或较弱偏好型,3.45%的县区属于弱依赖或弱偏好型。以兰州为中心及河西走廊地区的道路网依赖—偏好指数高于东部和南部山区。可为甘肃省道路网与人口、经济协调发展提供基础理论和参考依据。     

Street hierarchies: a minority of streets account for a majority of traffic flow

Urban streets are hierarchically organized in the sense that a majority of streets are trivial, while a minority of streets is vital. This hierarchy can be simply, but elegantly, characterized by the 80/20 principle, i.e. 80% of streets are less connected (below the average), while 20% of streets are well connected (above the average); out of the 20%, there is 1% of streets that are extremely well connected. This paper, using a European city as an example, examined, at a much more detailed level, such street hierarchies from the perspective of geometric and topological properties. Based on an empirical study, we further proved a previous conjecture that a minority of streets accounts for a majority of traffic flow; more accurately, the 20% of top streets accommodate 80% of traffic flow (20/80), and the 1% of top streets account for more than 20% of traffic flow (1/20). Our study provides new evidence as to how a city is (self‐)organized, contributing to the understanding of cities and their evolution using increasingly available mobility geographic information.     

Street‐based topological representations and analyses for predicting traffic flow in GIS

It is well received in the space syntax community that traffic flow is significantly correlated to a morphological property of streets, which are represented by axial lines, forming a so called axial map. The correlation co‐efficient (R ²) approaches 0.8 and even a higher value according to the space syntax literature. In this paper, we study the same issue using the Hong Kong street network and the Hong Kong Annual Average Daily Traffic datasets, and find surprisingly that street‐based topological representations (or street–street topologies) tend to be better representations than the axial map. In other words, vehicle flow is correlated to a morphological property of streets better than that of axial lines. Based on the finding, we suggest the street‐based topological representations as an alternative GIS representation, and the topological analyses as a new analytical means for geographic knowledge discovery.     

A spatial data model design for feature-based geographical information systems

Abstract

In state-of-the-art GIS, geographical features are represented as geometric objects with associated topological relations and classification attributes. Semantic relations and intrinsic interrelations of the features themselves are generally neglected. In this paper, a feature-based model that enhances the representation of geographical features is described. Features, as the fundamental depiction of geographical phenomena, encompass both real world entities and digital representation. A feature-based object incorporates both topological relations among geometric elements and non-topological (semantic) relations among features. The development of an object-oriented prototype feature-based GIS that supports relations between feature attributes and feature classes is described. Object-oriented concepts such as class inheritance and polymorphism facilitate the development of feature-based GTS.     

Selective omission of road features based on mesh density for automatic map generalization

Selection of roads is an intractable generalization operation due to the difficulty in retaining the density difference and connectivity of a road network. This paper proposes a novel approach of selective omission for roads based on mesh density. The density of a road network and its local variations are calculated using meshes as units. Since maps at different scales usually reveal different densities, different density thresholds for road networks are determined on the basis of theoretical analysis and empirical study of mesh densities on maps at different scales. The selection process starts with the identification of the meshes that have a density beyond the threshold. The mesh with the largest density is first treated. Its bounding road segments are ordered according to their relative importance. The least important segment is eliminated. The remaining segments are then merged with the adjacent mesh, thus forming a new mesh. The selection procedure is repeated until none of the meshes has a density beyond the threshold. Such a process of eliminating road segments and merging meshes can ensure the road network connectivity. In this study, the meshes are classified depending on the types of road segment. For the different mesh types, their density thresholds are set to be different, which can be used as an indicator for the preservation of the density difference. This proposed approach considers topological, geometric and semantic properties of the road network. It was applied to two sets of road networks, and the results of selection are convincing. This methodology has now been adopted for the updating of 1:50,000 maps of China.     

杭州商业街道空间布局形态关键要素对周边风环境的影响

利用基于计算流体力学（CFD）理论的数值模拟软件,在不影响街道连续性面貌的前提下,通过控制变量法分别改变街道贴线率、街道界面密度、街道高宽比3个关键要素的数值来观察街道风环境的变化情况。结论主要有： 街道内的风速大小随着街道贴线率的增大呈抛物线趋势变化,先增大后减小,在街道贴线率接近70%时,城市街道内风速达到最大; 随着界面密度的不断减小,城市街道内各个测点的风速变化的幅度越来越大,这样会让在其中行走的行人感受到强烈的风速变化,舒适度大为下降; 城市街道内的平均风速和街道高宽比成反比例关系。     

基于街景数据的建成环境与街道活力时空分析——以深圳福田区为例

建成环境对街道活力的影响是国内外城市研究的热点议题。然而,对于建成环境要素的测度与评估多偏重于二维建成环境指标,尚未充分挖掘三维建成环境指标。以深圳市福田区为例,采用街景数据、路网数据、POI数据及移动互联网位置服务数据,建立周末分时段模型,探讨商业街道和生活街道活力的时空间分布特征及建成环境对其产生的影响。结果表明：① 商业街道上居民全天活动的峰值时段为18:00~20:00,生活街道上居民全天活动的峰值时段为11:00~13:00。② 深圳市福田区街道活力总体呈现多中心结构,随时间变化显现出明显的空间差异。③ 不同的建成环境指标对街道活力的作用时段与影响程度存在差异。提高功能混合度有利于提升商业街道凌晨、上午和夜间的活力及生活街道午后和傍晚的活力;过宽的相对步行宽度对生活街道活力提升有抑制作用,更安全的步行环境对商业和生活街道夜间活力提升有促进作用;界面连续程度高的商业街道午后及夜间的活力更强,界面多样性丰富的生活街道白天活力更强。     

基于网络形态的街道空间环境与“两抢一盗”犯罪的关系研究——以HS市原DP区为例

城市街道网络是承载人们日常行为的空间载体,街道网络及其中人的日常行为共同构成了主要的街道网络空间环境,并影响着犯罪行为的发生。既有研究表明街道空间中多发“两抢一盗”侵财类案件,并且街道网络形态和日常行为主体与犯罪存在联系,但对这一问题的深入探究较少。本文基于HS市原DP区的派出所辖区单元,使用路网数据、人口统计数据、手机信令数据等相关资料,采用空间分析和统计分析方法,对街道网络的几何形态和拓扑形态、动态人口和静态人口等因素与犯罪分布的关系展开分析,尝试探索街道网络空间环境对“两抢一盗”犯罪的影响。结果表明,街道网络空间环境中影响盗窃和两抢犯罪的要素存在较大差异。“X形单元”式街道网络、路网密度、低速交通的路网渗透性、静态人口密度和动态人口密度均对盗窃犯罪产生重要影响,与两抢犯罪相关的仅有“T形单元”式街道网络、静态人口中的实际居住户籍人员和外来人员密度,街道网络形态没有表现出与两抢犯罪的显著相关。最后提出,由于街道网络的通达性和危险性往往并存,如何通过调控或改善整体的街道网络空间环境来尽可能减少犯罪风险,是未来规划建设安全的街道网络空间需要思考的话题。     

A linear tessellation model to identify spatial pattern in urban street networks

Street patterns reflect the distribution characteristics of a street network and affect the urban structure and human behavior. The recognition of street patterns has been a topic of interest for decades. In this study, a linear tessellation model is proposed to identify the spatial patterns in street networks. The street segments are broken into consecutive linear units with equal length. We define five focal operations using neighborhood analysis to extract the geometric and topological characteristics of each linear unit for the purpose of grid-pattern recognition. These are then classified by Support Vector Machine, and the result is optimized based on Gestalt principles. The experimental results demonstrate that our method is effective for mining grid patterns in a street network.     

A Street Fit for a King: Naming Places and Commemoration in the American South

The naming of streets after Martin Luther King, Jr. (MLK) is an importantarena for African Americans as they rewrite the landscape of southern identity and commemoration. While less ornate and ostentatious than museums and monuments, MLK streets are powerful and highly contested cultural geographies because of their potential to connect disparate communities and incorporate a vision of the past into the spatial practices of everyday life. They reveal the importance of location, particularly intra‐urban location, to public memorialization. Naming streets for King is a significant part of the nonmetropolitan South as well as larger cities and dependent upon the relative size of a city's African‐American population. When estimating the intra‐urban character of MLK streets within several southern states, findings suggest that they are located in census areas that are generally poorer and with more African Americans than citywide averages. Analysis reveals a geographic unevenness in the frequency of businesses having an address identified with King. When compared with the stereotypical American thoroughfare of “Main” Street, the address composition of MLK streets appears to be more residential in nature, although there is significant state by state variation.     

A Street Fit for a King: Naming Places and Commemoration in the American South

The naming of streets after Martin Luther King, Jr. (MLK) is an importantarena for African Americans as they rewrite the landscape of southern identity and commemoration. While less ornate and ostentatious than museums and monuments, MLK streets are powerful and highly contested cultural geographies because of their potential to connect disparate communities and incorporate a vision of the past into the spatial practices of everyday life. They reveal the importance of location, particularly intra-urban location, to public memorialization. Naming streets for King is a significant part of the nonmetropolitan South as well as larger cities and dependent upon the relative size of a city's African-American population. When estimating the intra-urban character of MLK streets within several southern states, findings suggest that they are located in census areas that are generally poorer and with more African Americans than citywide averages. Analysis reveals a geographic unevenness in the frequency of businesses having an address identified with King. When compared with the stereotypical American thoroughfare of “Main” Street, the address composition of MLK streets appears to be more residential in nature, although there is significant state by state variation.