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Journal of Urban Technology Volume 29, 2022 - Issue 2: Planning Support for Smart and Sustainable Cities
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Mobility Planning Support Systems

Incorporating Planning Intelligence into Deep Learning: A Planning Support Tool for Street Network Design

Zhou Fanga Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge CB2 1PX, UKView further author information
,
Ying Jina Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge CB2 1PX, UKView further author information
&
Tianren Yanga Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge CB2 1PX, UK;b Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3547-5853View further author information
ORCID Icon
Pages 99-114 | Published online: 22 Dec 2021

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Zhou Fang, Jiaxin Qi, Lubin Fan, Jianqiang Huang, Ying Jin & Tianren Yang. (2022) A topography-aware approach to the automatic generation of urban road networks. International Journal of Geographical Information Science 36:10, pages 2035-2059.
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Haozhi Pan, Stan Geertman, Brian Deal, Jungfeng Jiao & Bo Wang. (2022) Planning Support for Smart Cities in the Post-COVID Era. Journal of Urban Technology 29:2, pages 1-5.
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Articles from other publishers (4)

Tim Heinrich Son, Zack Weedon, Tan Yigitcanlar, Thomas Sanchez, Juan M. Corchado & Rashid Mehmood. (2023) Algorithmic urban planning for smart and sustainable development: Systematic review of the literature. Sustainable Cities and Society 94, pages 104562.
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Richard Wen & Songnian Li. (2022) Spatial Decision Support Systems with Automated Machine Learning: A Review. ISPRS International Journal of Geo-Information 12:1, pages 12.
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Emanuel Rieder, Matthias Schmuck & Alexandru Tugui. (2022) A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development. Big Data and Cognitive Computing 7:1, pages 3.
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Qi Zhou, Junya Bao & Helin Liu. (2022) Mapping Urban Forms Worldwide: An Analysis of 8910 Street Networks and 25 Indicators. ISPRS International Journal of Geo-Information 11:7, pages 370.
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