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A green view index for urban transportation: How much greenery do we view while moving around in cities?

机译:城市交通的绿色视野指数:我们在城市搬家时看到了多少绿色?

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摘要

Urban transportation systems are among the key aspects of infrastructure in cities. Greenery positively influences urban environments and the experience of residents during transportation. However, existing studies have not yet established a substantial connection between the greenery visible at street level and urban transportation. In our study, we focus on the integration of social science disciplines and information technology in the context of transportation. We prioritize people?s experiences of the transportation process, placing foremost importance on the comfort of passengers themselves. We use a human perspective concept, supported using street view images, to propose a new index, the Green View Index ? Urban Transportation (GVI-UT). The GVI-UT highlights the crucial role of transportation routes and modes in street greenery evaluation. It is defined according to a passenger?s ability to see greenery on the street while being transported. The GVI-UT calculation comprises four steps: obtaining street view panoramic photographs; calculating green views based on these photographs; route planning using Web application programing interfaces; and overlay analysis. This study provides a theoretical framework and a range of innovative ideas for achieving a person-centered perspective on the experience of the transportation process. Through quantitative evaluation of the green-view status of residents? transportation options, policy recommendations for urban transportation planning and green construction are provided to promote green visibility during urban transportation. Through extracting greater information from existing street view data, we allow such data to play a more valuable role in the construction of urban transportation systems.
机译:城市交通系统是城市基础设施的关键方面。绿色植物在运输过程中积极影响城市环境和居民的经验。然而,现有研究尚未在街道水平和城市交通的绿地之间建立实质性联系。在我们的研究中,我们专注于社会科学学科和信息技术在运输背景下的整合。我们优先考虑人们的运输过程经验,使最重要的是对乘客本身的舒适感。我们使用人类的透视概念,支持使用街道视图图像,提出一个新的索引,绿色视图索引?城市交通(GVI-UT)。 GVI-UT突出了运输路线和模式在街道绿化评估中的关键作用。它根据乘客在被运输时看到街道上的绿色植物。 GVI-UT计算包括四个步骤:获得街景全景照片;根据这些照片计算绿色视图;路线规划使用Web应用程序编程接口;并叠加分析。本研究提供了理论框架和一系列创新思想,可实现以人为本的运输过程经验为中心的视角。通过定量评估居民的绿色视野状态?提供交通选择,提供城市交通规划和绿色建设的政策建议,以促进城市交通处的绿色能见度。通过从现有的街道视图数据中提取更多信息,我们允许这些数据在城市交通系统建设中发挥更有价值的作用。

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    Nanjing Univ Sch Geog & Oceanog Sci Nanjing 210023 Jiangsu Peoples R China;

    Nanjing Univ Sch Geog & Oceanog Sci Nanjing 210023 Jiangsu Peoples R China|Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Nanjing Jiangsu Peoples R China|Nanjing Univ Collaborat Innovat Ctr South Sea Studies Nanjing Jiangsu Peoples R China|Nanjing Univ Collaborat Innovat Ctr Novel Software Technol & I Nanjing Jiangsu Peoples R China;

    Nanjing Univ Sch Geog & Oceanog Sci Nanjing 210023 Jiangsu Peoples R China|Nanjing Univ Collaborat Innovat Ctr South Sea Studies Nanjing Jiangsu Peoples R China;

    Nanjing Univ Sch Geog & Oceanog Sci Nanjing 210023 Jiangsu Peoples R China;

    Nanjing Univ Sch Geog & Oceanog Sci Nanjing 210023 Jiangsu Peoples R China|Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Nanjing Jiangsu Peoples R China|Nanjing Univ Collaborat Innovat Ctr South Sea Studies Nanjing Jiangsu Peoples R China|Jiangsu Ctr Collaborat Innovat Geog Informat Res Nanjing Jiangsu Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Green view index; street view panoramic photographs; transportation route planning; urban development planning; urban greenery; urban transportation;

    机译:绿景指数;街景全景照片;运输路线规划;城市发展规划;城市绿地;城市交通;

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