Abstract：The city block search engine is a type of urban cognitive intelligence. By extracting various sources of city data and establishing a city block retrieval model, it can simplify the cognition of urban design in the early stage. This study introduces ArchIndex, featuring a dynamic web-based city block search engine. Based on a regularly updated spatial relation database, it collects city data and builds indicators of form, function and activity for retrieval and visualization of morphology. The study can establish indexes for any city through distributed cloud computing. Via its web application, it supplies user-friendly tools and pioneering methods conducive to urban morphology research.
莫怡晨 卢德格尔·霍夫施塔特 李飚 唐芃. ArchIndex: 基于多源数据的城市街区检索引擎
[J]. 新建筑, 2024, 42(1): 15-21.
MO Yichen Ludger HOVESTADT LI Biao TANG Peng. ArchIndex: A Web-based and Data-driven Retrieval System for City Blocks. New Architecture, 2024, 42(1): 15-21.
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