Challenges for social flows
Challenges for social flows
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DOI：
10.1016/j.compenvurbsys.2018.03.008
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发表时间：
2018-07-01
影响因子：
6.8
通讯作者：
Ferreira, Joseph, Jr.
中科院分区：
文献类型：
--
作者：
Andris, Clio;Liu, Xi;Ferreira, Joseph, Jr.
社会和人际关系与建筑环境相关联：人们需要物理基础设施来满足和沟通，然后用运动和信息动态填充这些基础设施。在GIS分析中，行动通常被表示为一个称为社会流的空间信息单元-一个线性地理特征，证明个人的决定，通过旅行，电信和/或声明个人关系连接的地方。这些流动不同于传统的空间网络（道路等）。因为它们通常是非平面的，并且不像操作系统中的网络（例如飞行网络），它们提供个人意图的证据以与构建的环境交互和/或保持与其他人的关系。因此，这些流动的总和，以说明人类，信息和思想之间和地方内的传播。在日益丰富和使用的社会流数据，我们扩展了这种数据类型的正式定义，创建新的类型学，解决新的问题，并重新定义社会距离作为社会流的表现。接下来，我们概述了充分利用这些数据与商业GlSystems的挑战，提供的例子和潜在的解决方案，代表，可视化，操纵，统计分析和归因于意义的社会流。本次讨论的目标是提高灵活性的社会流动数据的地理，环境和社会研究问题。
Social and interpersonal connections are attached to the built environment: people require physical infrastructure to meet and telecommunicate, and then populate these infrastructures with movement and information dynamics. In GIS analysis, actions are often represented as a unit of spatial information called the social flow-a linear geographic feature that evidences an individual's decision to connect places through travel, telecommunications and/or declaring personal relationships. These flows differ from traditional spatial networks (roads, etc.) because they are often non-planar, and unlike networks in operations systems (such as flight networks), provide evidence of personal intentionality to interact with the built environment and/or to perpetuate relationships with others. En masse, these flows sum to illustrate how humans, information and thoughts spread between and within places.Amid a growing abundance and usage of social flow data, we extend formal definitions of this data type, create new typologies, address new problems, and redefine social distance as the manifestation of social flows. Next, we outline challenges to fully leveraging these data with commercial GlSystems by providing examples and potential solutions for representing, visualizing, manipulating, statistically analyzing and ascribing meaning to social flows. The goal of this discussion is to improve the dexterity of social flow data for geographic, environmental and social research questions.