武汉市公共交通网络中心性及其与银行网点的空间耦合性研究

本文以构建公共交通网络为切入点,运用改进的多中心性评价模型测度了武汉都市发展区公共交通网络中心性,并结合GIS核密度分析法与双变量空间自相关分析法,探讨了公共交通网络中心性和银行网点空间分布规律,以及两者之间的耦合性与空间结构。主要研究结论为：①武汉都市发展区公共交通网络中心性具有城市多中心指向性特征,且由中心向外围圈层递减;②银行网点布局呈现“核心—中心—过渡区—外围”多层次结构,且具有空间不均衡性;③公共交通网络各中心性指标与银行网点具有不同程度的空间正相关。银行网点受接近中心性的影响最大,直达性次之,介数中心性最小;④局域上,公共交通网络中心性指标与银行网点的耦合关系存在空间不平稳性与空间异质性。高—高聚集与低—低聚集是主要的空间关联模式;高—高聚集主要位于银行网点布局的核心圈层,低—低聚集点缀于外围圈层,高—低聚集与低—高聚集介于核心圈层与外围圈层之间。     

城市交通效率的多目标评价方法研究——以北京市城六区为例

高速城镇化和机动化阶段,面临与日剧增的环境压力,城市交通的多目标发展成为交通可持续发展的关键。在提升居民出行满意度的同时,降低交通碳排放是目前及未来城市交通可持续发展关注的核心目标,是城市交通效率的主要内涵。由此,本文从交通出行便捷与交通碳减排双目标综合评估的角度,提出基于中观尺度的城市交通出行满意度和交通碳排放的定量测算方法;并利用数据包络分析(Data Envelopment Analysis, DEA)法探讨城市交通综合效率评价方法。对北京市城六区的实证结果显示,在三环以内地区,城市交通综合效率较高,五环以外大部分地区较差。交通综合效率较高的地区集中分布于：①西三环至西四环万寿路街道的公主坟-五棵松地区。②北三环和平里街道安贞桥附近地区。③东北三环的三里屯地区。而综合效率较差的地区大多位于城市外围,例如西北六环周边,西南五环至西南六环部分地区,以及东五环外常营地区等,交通碳排放较高是这些地区交通效率较差的主要原因。此外,交通效率的空间差异与地理空间环境的差异性呈现高度的相关。例如,交通效率较差的地区大多是高档别墅区集聚的地区,以及城市五环周边公共交通不完善的部分居住区。通勤中机动化比例较高和通勤距离较长是碳排放强度较高的主要原因。     

Lacustrine massive mudrock in the Eocene Jiyang Depression,Bohai Bay Basin,China: Nature,origin and significance

Massive mudrock refers to mudrock with internally homogeneous characteristics and an absence of laminae. Previous studies were primarily conducted in the marine environment, while notably few studies have investigated lacustrine massive mudrock. Based on core observation in the lacustrine environment of the Jiyang Depression, Bohai Bay Basin, China, massive mudrock is a common deep water fine-grained sedimentary rock. There are two types of massive mudrock. Both types are sharply delineated at the bottom and top contacts, abundant in angular terrigenous debris, and associated with oxygen-rich (higher than 2 ml O₂/L H₂O) but lower water salinities in comparison to adjacent black shales. In addition, type 1 is laterally isolated and contains abundant sand injections and contorted layers formed in the depositional process, but type 2 exactly distributes in the distal part of deep water gravity-driven sandstone units, and shows scoured bases, high-angle mineral crytsals, and fining-upward trend. It is suggested that type 1 is a muddy mass transport deposit (MMTD) formed by slide, slump, and/or debris flow, and type 2 is a turbiditic mudrock deposited by settling from dilute turbidity currents. A warm and humid climate and high subsidence rate are two main triggering events. Because of its mass movement nature, MMTD preserves the mineralogic composition and organic matter characteristics of the source sediment. By contrast, dilute turbidity currents are able to greatly entrain biochemically-formed micrite and planktonic organisms from the water column, and deposit them in the turbiditic mudrock. Because of their different ability to deposit organic matter, MMTD have poor or fair source rock potential, but the turbiditic mudrock is able to be a potentially effective source rock. The minerals in the massive mudrock are disorganized and chaotic, which cause fractures to develop in various directions, thereby, enhancing the vertical migration of oil and gas molecules to horizontal wellbore in shale reservoir exploitation.     

Integrating social network data into GISystems

Today, online social media outlets provide new and plentiful sources of data on social networks (SNs) and location-based social networks (LBSNs), i.e., geolocated evidence of connections between individuals. While SNs have been used to show how the magnitude of social connectivity decreases with distance, there are few examples of how to include SNs as layers in a GISystem. If SNs, and thus, interpersonal relationships, could be analyzed in a geographic information system (GIS) setting, we could better model how humans socialize, share information, and form social groups within the complex geographic landscape.

Our goal is to facilitate a guide for analyzing SNs (as derived from online social media, telecommunications, surveys, etc.) within geographic space by combining the mature fields of social network analysis (SNA) and GISystems. First, we describe why modeling socialization in geographic space is essential for understanding human behavior. We then outline best practices and techniques for embedding SN nodes and edges in GISystems by introducing terms like ‘social flow’ and ‘anthrospace’, and categorizations for data and spatial aggregation types. Finally, we explore case study vignettes of SNA within GISystems from diverse regions located in Bolivia, China, Côte d’Ivoire, Singapore, the United Kingdom, and the United States, using concepts such as geolocated dyads, ego–alter relationships, node feature roles, modularity, and network transitivity.     

Measures of transport mode segmentation of trajectories

ABSTRACT

Rooted in the philosophy of point- and segment-based approaches for transportation mode segmentation of trajectories, the measures that researchers have adopted to evaluate the quality of the results (1) are incomparable across approaches, hence slowing the progress in the field and (2) do not provide insight about the quality of the continuous transportation mode segmentation. To address these problems, this paper proposes new error measures that can be applied to measure how well a continuous transportation mode segmentation model performs. The error measures introduced are based on aligning multiple inferred continuous intervals to ground truth intervals, and measure the cardinality of the alignment and the spatial and temporal discrepancy between the corresponding aligned segments. The utility of this new way of computing errors is shown by evaluating the segmentation of three generic transportation mode segmentation approaches (implicit, explicit–holistic, and explicit–consensus-based transport mode segmentation), which can be implemented in a thick client architecture. Empirical evaluations on a large real-word data set reveal the superiority of explicit–consensus-based transport mode segmentation, which can be attributed to the explicit modeling of segments and transitions, which allows for a meaningful decomposition of the complex learning task.     

近代云南城市空间演化的外生动力分析

对19世纪70年代至1949年云南的城镇空间演化进行了纵向梳理和横向比较,研究了交通与政治两种演化影响因素的变迁,结果显示:(1)在1910年滇越铁路通车之前的清末,对外交通线路的兴衰对沿线城市空间演化有明显的影响,交通区位因素是云南城市空间演化的主要外生动力。(2)进入民国之后,地方政府对城市的建设管理和资源投入能力都强于清代,中心城市获得的资源尤其明显,因此政治因素开始成为中心城市空间演化的主要推动因素。(3)在空间分布上,铁路交通对城市演化推动的极化程度明显高于传统交通方式,因此,在交通因素与政治因素的协同作用下,在民国时期昆明城市演化的外生动力明显强于省内其他城市。     

2013年南疆西部暴雨天气的水汽特征

应用南疆西部（35°～42°N,73°～80°E）15个气象站及200个区域自动气象站2013年逐日降水量资料和NCEP/NCAR每日4次1°×1°再分析资料,分析2013年南疆西部4次典型暴雨天气过程的水汽源地、水汽输送及水汽收支特征。结果表明,2013年4场暴雨天气水汽主源地主要分布在阿拉伯海和孟加拉湾,其次是波斯湾,低层东风急流（LLEJ）在南疆西部暴雨过程中作用显著。过程Ⅰ水汽输送路径主要为偏东和西南气流,在南疆西部沿山及偏东平原强烈辐合引发暴雨,偏东路径水汽输送明显大于西南路径,水汽输送的大值区域持续时间为24 h。过程Ⅱ水汽输送有西方、西南和偏东路径,3支水汽输送在南疆西部东—西、南—北产生剧烈的辐合造成大范围、强度强的暴雨天气,东边界水汽输入量接近南边界,水汽输送的大值区域持续时间为60 h。 过程Ⅲ水汽输送为西方、偏南和偏东路径,LLEJ引导的水汽在西风、东风气流的交汇下沿山堆积产生强的辐合,造成暴雨天气。水汽输送的大值区域持续时间为24 h。过程水汽输送主要有西方、偏南和偏东路径,西方路径的输送量远远大于偏东和偏南水汽,水汽输送出现2次高低空大值区域叠置现象,暴雨过程中大值区域持续时间48 h。     

Modal Choice in the Pittsburgh Metropolitan Statistical Area: An Exploratory Data Analysis

Journey-to-work mode choice is intertwined with ideological and pragmatic issues. This article reexamines such issues using socioeconomic data from the decennial census and American Community Survey (ACS). It investigates the structure of variables with exploratory data analysis (EDA) because this technique advises the formation of hypotheses and the specification of cause and effect. Traditional EDA reveals the nonnormal structure of raw data, mapping illustrates associations between transit and income, and both methods suggest the presence of a transit-by-choice population among affluent metropolitan residents. The results yield three hypotheses concerning propensity to use transit that have previously received little attention.     

Extending the conversation on socially engaged geographic visualization: representing spatial inequality in Buffalo,New York

This paper is situated at the intersections among GIS and geovisualization, critical social theory, and urban studies. It presents an analysis of housing segregation and unequal food and transportation access in Buffalo, New York. We demonstrate how the representation and examination of this socially complex multi-scalar issue benefits from deliberate, reflexive conversation between different critical social-spatial epistemologies. We begin with a relatively simple GIS analysis of spatial segregation and arrive through critical iteration at a more qualitatively nuanced cartogram which moves beyond representations of fixed space to reveal a much more relational situation—a case of “time-space expansion” in which the travel time needed to meet a basic daily need is much greater for the poor and people of color than it is for whiter, more affluent populations. We conclude by infusing this narrative with additional considerations from social theory to show how even a limited visualization such as ours might better critically engage broader social and discursive processes in and across urban space.     

基于不同交通工具多约束条件的最短路径算法研究

多约束条件下的最短路径选择可以满足用户的出行需求,然而不同的交通工具在相同起始点下最短路径选择存在很大差异。为了满足多用户的出行需求,基于不同交通工具的多约束条件,对传统的Dijkstra算法进行改进,由传统的基于单约束条件向多约束条件改进,并对最短路径选择的准确程度进行优化。通过实例,验证算法的可行性和准确程度。