Street Sensing: Urban Thermal Environment Assessment Using Street View Images
暫譯: 街道感知：利用街景影像評估城市熱環境
Gong, Fang-Ying
- 出版商: Springer
- 出版日期: 2025-05-30
- 售價: $2,370
- 貴賓價: 9.5 折 $2,252
- 語言: 英文
- 頁數: 127
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303192004X
- ISBN-13: 9783031920042
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相關分類:
地理資訊系統 Gis
海外代購書籍(需單獨結帳)
相關主題
商品描述
Combining publicly available Google Street View (GSV) images with deep learning and radiative transfer models enables researchers to assess urban physical and thermal environments, especially in high-density areas. This book introduces this advanced approach, which provides large-scale, high-accuracy, and high-density measurements of street-level urban features--key to understanding urban radiation balance and thermal dynamics.
By leveraging GSV images, this method directly characterizes urban streetscapes, including structural and geometric attributes, allowing for a comprehensive assessment. Moreover, the methods can be applied to any geographical location covered by GSV, making it a low-cost and effective tool for urban studies globally. This is particularly advantageous compared to traditional 3D-GIS models, which may not always be freely available or as extensive in coverage as GSV images.
Lessons from Street Sensing provide data-driven insights for urban planning and governance. The accurate mapping of street view factors and solar irradiance helps identify areas with insufficient greenery, excessive or insufficient solar exposure, and other urban environment issues. These insights can help policymakers and urban planners mitigate negative environmental impacts and improve urban living conditions.
商品描述(中文翻譯)
結合公開可得的 Google 街景 (GSV) 圖像、深度學習和輻射傳輸模型，使研究人員能夠評估城市的物理和熱環境，特別是在高密度區域。本書介紹了這一先進的方法，提供了街道層級城市特徵的大規模、高精度和高密度測量，這對於理解城市輻射平衡和熱動力學至關重要。
通過利用 GSV 圖像，這種方法能夠直接描述城市街景，包括結構和幾何屬性，從而進行全面的評估。此外，這些方法可以應用於任何 GSV 覆蓋的地理位置，使其成為全球城市研究的一種低成本且有效的工具。與傳統的 3D-GIS 模型相比，這一方法特別具有優勢，因為傳統模型可能並不總是免費提供或在覆蓋範圍上不如 GSV 圖像廣泛。
《街道感知的教訓》提供了基於數據的城市規劃和治理見解。準確地繪製街景因素和太陽輻射有助於識別綠化不足、太陽暴露過多或不足以及其他城市環境問題的區域。這些見解可以幫助政策制定者和城市規劃者減輕負面環境影響，改善城市生活條件。
作者簡介
Dr Gong is currently an Assistant Professor at the School of Public Administration and Policy, Renmin University of China, and a Distinguished Young Scholar of the RUC. She held Ph.D. in Architecture from The Chinese University of Hong Kong from 2014-2019 with joint building technology training by the School of Architecture and Planning, Massachusetts Institute of Technology (MIT) from 2017-2018, and was a Research Associate at the Department of Earth and Planetary Sciences, California Institute of Technology (Caltech), 2020-2021. Her research focuses on smart city and spatial governance, resilient city and environmental governance, as well as digital government and data governance. Her work has been awarded the Postgraduate Research Output Award from The Chinese University of Hong Kong (2018), the Global Excellence Research Award (2017), and the First Prize in Humanities and Social Sciences Research in Macau (2012). As a Principal Investigator, Dr. Gong has led projects funded by the National Natural Science Foundation of China, the Ministry of Education's Social Science Fund, and the Fundamental Research Funds for Central Universities. She has also been a key researcher in international projects with NASA-JPL, the Macao SAR Government, and the Hong Kong Planning Department. Her work has contributed significantly to climate-adaptive urban planning and resilient urban governance.
作者簡介(中文翻譯)
龔博士目前是中國人民大學公共管理與政策學院的助理教授，並且是該校的傑出青年學者。她於2014年至2019年在香港中文大學獲得建築學博士學位，並於2017年至2018年在麻省理工學院（MIT）建築與規劃學院接受建築技術的聯合培訓，2020年至2021年擔任加州理工學院（Caltech）地球與行星科學系的研究助理。她的研究專注於智慧城市與空間治理、韌性城市與環境治理，以及數位政府與數據治理。她的工作曾獲得香港中文大學的研究生研究成果獎（2018年）、全球卓越研究獎（2017年）以及澳門人文社會科學研究一等獎（2012年）。作為首席研究員，龔博士主導了由中國國家自然科學基金、中華民國教育部社會科學基金及中央高校基本科研業務費資助的項目。她也曾是與NASA-JPL、澳門特別行政區政府及香港規劃署的國際項目的主要研究人員。她的研究對於氣候適應性城市規劃和韌性城市治理做出了重要貢獻。
