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Policy makers and city planning professionals who work on transit-oriented development are often interested in evaluating the quality of physical environment around metro stations. How to carry out this task comprehensively, effectively and repeatedly, with limited time and budget? Under the GEF Sustainable Cities Integrated Approach Pilot Project (P156507), the task team has explored the possibility of utilizing street view photos and machine learning...
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详细

  • 2020/01/01

  • 工作文件

  • 146116

  • 1

  • 1

  • 中国,

  • 东亚与太平洋区,

  • 2020/02/17

  • Disclosed

  • Assessing Physical Environment of TOD Communities around Metro Stations : Using Big Data and Machine Learning

  • physical environment

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