Spatial information and the legibility of urban form: Big data in urban morphology

作者：

Highlights：

• New spatial information systems, visualization tools, and workflows offer new possibilities for urban morphology research.

• We present a computational workflow to model and visualize urban form and uncover planning patterns/histories using big data.

• We illustrate across worldwide study sites how urban planning/evolution organize space and produce different spatial logics.

• Data-driven and narrative/interpretative approaches reveal physical form that results from complex sociotechnical processes.

摘要

•New spatial information systems, visualization tools, and workflows offer new possibilities for urban morphology research.•We present a computational workflow to model and visualize urban form and uncover planning patterns/histories using big data.•We illustrate across worldwide study sites how urban planning/evolution organize space and produce different spatial logics.•Data-driven and narrative/interpretative approaches reveal physical form that results from complex sociotechnical processes.

论文关键词：OpenStreetMap,Urban design,Urban form,Urban morphology,Urban planning,Visualization

论文评审过程：Received 15 February 2019, Revised 10 September 2019, Accepted 24 September 2019, Available online 10 October 2019, Version of Record 10 December 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.09.009