活跃的旅行在当地社区的叙述中适合哪里 移动空间和地点？

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摘要翻译：
随着围绕气候变化的集体意识继续扩大，鼓励可持续的流动模式已成为各级治理决策的首要问题。然而，并不是每个社区都拥有必要的经济或社会文化资本，以鼓励模式从私人机动车辆转向主动模式。目前关于“软”政策的文献强调了根据个人或地理环境调整行为改变运动的重要性。然而，缺乏洞察力和适当的工具，从当地社区的角度促进积极的流动性和克服运输劣势。本研究以芝加哥（1）洪堡公园社区和（2）埃文斯顿郊区两个地理社区的当地居民为对象，通过一系列焦点小组调查了步行和骑自行车采纳的促进情况。该研究方法将传统的定性语篇分析与定量文本挖掘工具，即主题建模和情感分析相结合。该分析揭示了当地的流动文化，嵌入的规范和价值观，与接受积极的旅行方式在不同的社区。我们注意到，不同社区中服务不足的人口将积极的流动同时视为一种必要和特权的象征，这有时与当地文化不一致。分析社区成员话语的混合方法被转化为政策结果，这些结果要么适合当地环境，要么广泛适用于遏制汽车主导地位。总体而言，洪堡公园和埃文斯顿的居民都设想一个多模式主义取代汽车中心主义的社会，但当地物质和社会环境的差异将而且应该影响实现总体政策目标的方式。
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英文标题：
《Where does active travel fit within local community narratives of
  mobility space and place?》
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作者：
Alec Biehl, Ying Chen, Karla Sanabria-Veaz, David Uttal, Amanda
  Stathopoulos
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最新提交年份：
2019
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
--
一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
--
一级分类：Statistics        统计学
二级分类：Machine Learning        机器学习
分类描述：Covers machine learning papers (supervised, unsupervised, semi-supervised learning, graphical models, reinforcement learning, bandits, high dimensional inference, etc.) with a statistical or theoretical grounding
覆盖机器学习论文（监督，无监督，半监督学习，图形模型，强化学习，强盗，高维推理等）与统计或理论基础
--

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英文摘要：
  Encouraging sustainable mobility patterns is at the forefront of policymaking at all scales of governance as the collective consciousness surrounding climate change continues to expand. Not every community, however, possesses the necessary economic or socio-cultural capital to encourage modal shifts away from private motorized vehicles towards active modes. The current literature on `soft' policy emphasizes the importance of tailoring behavior change campaigns to individual or geographic context. Yet, there is a lack of insight and appropriate tools to promote active mobility and overcome transport disadvantage from the local community perspective. The current study investigates the promotion of walking and cycling adoption using a series of focus groups with local residents in two geographic communities, namely Chicago's (1) Humboldt Park neighborhood and (2) suburb of Evanston. The research approach combines traditional qualitative discourse analysis with quantitative text-mining tools, namely topic modeling and sentiment analysis. The analysis uncovers the local mobility culture, embedded norms and values associated with acceptance of active travel modes in different communities. We observe that underserved populations within diverse communities view active mobility simultaneously as a necessity and as a symbol of privilege that is sometimes at odds with the local culture. The mixed methods approach to analyzing community member discourses is translated into policy findings that are either tailored to local context or broadly applicable to curbing automobile dominance. Overall, residents of both Humboldt Park and Evanston envision a society in which multimodalism replaces car-centrism, but differences in the local physical and social environments would and should influence the manner in which overarching policy objectives are met.
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PDF链接：
https://arxiv.org/pdf/1905.02674

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关键词：Quantitative neighborhood SIMULTANEOUS disadvantage Policymaking residents 文化 研究 policy 模式