| 摘要: |
| 近年来多源数据与具身循证技术的涌现，使得基于大、小数据相结合的精准建成环境审计正逐渐成为可能。以上海临港新城滴水湖站点广场为例，针对基础设施、公共空间品质、场所活力、城市可意向性等方面的问题与需求，创新性地建构了以人为本的系统性技术框架，从访客画像、行为活动及空间感知3个方面开展研究区域的建成环境审计：基于位置服务（LBS）、公交刷卡、兴趣点（POI）及美团数据，开展访客特征与功能需求研判；基于无人机航拍影像和空间句法分析，了解人群如何使用场所空间；基于眼动追踪技术与可穿戴传感器，对人体生理信息进行动态监控，最终从功能要素、空间形态要素、人本尺度景观要素3个方面提出新城更新的设计介入策略。这一技术框架有望为建成环境品质的精准提升与设计导控提供支持。 |
| 关键词: 多源数据 循证技术 建成环境审计 可穿戴传感器 临港新城 |
| DOI：10.14085/j.fjyl.2022.09.0055.07 |
| 分类号:TU984 |
| 基金项目:国家自然科学基金（编号 52078343）；上海市自然科学基金面上项目（编号 20ZR1462200）；中央高校基本科研业务费专项资金（编号 22120210540） |
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| Built Environment Auditing Based on Multi-source Data and Embodied Evidence-Based Technology: A Case Study of Dishui Lake Station Square in Shanghai Lingang New City |
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YE Yu, ZHAN Gong, HAN Yun
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Tongji University
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| Abstract: |
| The emergence of multi-source data and embodied evidence-based technologies in recent years has made it possible to combine big and small data for accurate auditing of built environment. Taking the Dishui Lake Station Square in Shanghai Lingang New City as an example, this research, in view of the problems and needs regarding infrastructure, public space quality, place vitality and urban imageability, constructs an innovative and systematic technical framework that is people-oriented, and conducts built environment auditing of the research area from the following three aspects: visitor portraits, behavioral activities and spatial perception. The research analyzes visitor portraits and function needs in combination with relevant data on location based services (LBS), card swiping for public transportation, point of interest (POI) and Meituan; discovers how people use spaces based on drone aerial imagery and space syntax analysis; and conducts dynamic monitoring of human physiological information based on eye-tracking technology and wearable sensor. On this basis, the research finally proposes the design intervention strategy for the renewal of Shanghai Lingang New City from the three aspects of functional elements, spatial form elements, and human-scale landscape elements. This technical framework is expected to provide support for the accurate improvement and design control of built environment quality. |
| Key words: multi-source data evidence-based technology built environment auditing wearable sensor Lingang New City |
| 引用本文: | 叶宇,张塨,韩赟.基于多源数据与具身循证技术的建成环境审计——以上海临港新城滴水湖站点广场为例[J].风景园林，2022，29（9）：55-61. |
| YE Yu,ZHAN Gong,HAN Yun.Built Environment Auditing Based on Multi-source Data and Embodied Evidence-Based Technology: A Case Study of Dishui Lake Station Square in Shanghai Lingang New City[J].Landscape Architecture Journal, 2022, 29(9):55-61. |
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