MasterplanGAN: Facilitating the smart rendering of urban master plans via generative adversarial networks
Author
Abstract
Suggested Citation
DOI: 10.1177/23998083211023516
Download full text from publisher
References listed on IDEAS
- Yu Ye & Wei Zeng & Qiaomu Shen & Xiaohu Zhang & Yi Lu, 2019. "The visual quality of streets: A human-centred continuous measurement based on machine learning algorithms and street view images," Environment and Planning B, , vol. 46(8), pages 1439-1457, October.
- Reinhard Koenig & Yufan Miao & Anna Aichinger & Katja Knecht & Kateryna Konieva, 2020. "Integrating urban analysis, generative design, and evolutionary optimization for solving urban design problems," Environment and Planning B, , vol. 47(6), pages 997-1013, July.
- Ariel Noyman & Ronan Doorley & Zhekun Xiong & Luis Alonso & Arnaud Grignard & Kent Larson, 2019. "Reversed urbanism: Inferring urban performance through behavioral patterns in temporal telecom data," Environment and Planning B, , vol. 46(8), pages 1480-1498, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Khalid Mohammed Almatar, 2024. "Rehumanize the Streets and Make Them More Smart and Livable in Arab Cities: Case Study: Tahlia Street; Riyadh City, Saudi Arabia," Sustainability, MDPI, vol. 16(8), pages 1-17, April.
- Kanyou Sou & Hiroya Shiokawa & Kento Yoh & Kenji Doi, 2021. "Street Design for Hedonistic Sustainability through AI and Human Co-Operative Evaluation," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
- Yibang Zhang & Yukun Zou & Zhenjun Zhu & Xiucheng Guo & Xin Feng, 2022. "Evaluating Pedestrian Environment Using DeepLab Models Based on Street Walkability in Small and Medium-Sized Cities: Case Study in Gaoping, China," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
- Andrew Crooks & Linda See, 2022. "Leveraging Street Level Imagery for Urban Planning," Environment and Planning B, , vol. 49(3), pages 773-776, March.
- Jiacheng Shi & Yu Yan & Mingxuan Li & Long Zhou, 2024. "Measuring the Convergence and Divergence in Urban Street Perception among Residents and Tourists through Deep Learning: A Case Study of Macau," Land, MDPI, vol. 13(3), pages 1-29, March.
- Jingxiong Huang & Jiaqi Liang & Mengsheng Yang & Yuan Li, 2022. "Visual Preference Analysis and Planning Responses Based on Street View Images: A Case Study of Gulangyu Island, China," Land, MDPI, vol. 12(1), pages 1-15, December.
- S'andor Juh'asz & GergH{o} Pint'er & 'Ad'am Kov'acs & Endre Borza & Gergely M'onus & L'aszl'o LH{o}rincz & Bal'azs Lengyel, 2022. "Amenity complexity and urban locations of socio-economic mixing," Papers 2212.07280, arXiv.org, revised Jul 2023.
- Yiwei Bai & Yihang Bai & Ruoyu Wang & Tianren Yang & Xinyao Song & Bo Bai, 2023. "Exploring Associations between the Built Environment and Cycling Behaviour around Urban Greenways from a Human-Scale Perspective," Land, MDPI, vol. 12(3), pages 1-19, March.
- Jia Tao & Meng Yang & Jing Wu, 2022. "Coupling Coordination Evaluation of Lakefront Landscape Spatial Quality and Public Sentiment," Land, MDPI, vol. 11(6), pages 1-29, June.
- Aibo Jin & Yunyu Ge & Shiyang Zhang, 2024. "Spatial Characteristics of Multidimensional Urban Vitality and Its Impact Mechanisms by the Built Environment," Land, MDPI, vol. 13(7), pages 1-22, July.
- Md Amiruzzaman & Andrew Curtis & Ye Zhao & Suphanut Jamonnak & Xinyue Ye, 2021. "Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach," Journal of Computational Social Science, Springer, vol. 4(2), pages 813-837, November.
- Elena Núñez Varela & Kristoffer Öhrling & Annika Moscati, 2022. "Analysis of the Challenges in the Swedish Urban Planning Process: A Case Study about Digitalization," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
- Mehmet Isiler & Mustafa Yanalak & Muhammed Enes Atik & Saziye Ozge Atik & Zaide Duran, 2023. "A Semi-Automated Two-Step Building Stock Monitoring Methodology for Supporting Immediate Solutions in Urban Issues," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
- Gong, Wenjing & Rui, Jin & Li, Tianyu, 2024. "Deciphering urban bike-sharing patterns: An in-depth analysis of natural environment and visual quality in New York's Citi bike system," Journal of Transport Geography, Elsevier, vol. 115(C).
- Yu Ye & Hanting Xie & Jia Fang & Hetao Jiang & De Wang, 2019. "Daily Accessed Street Greenery and Housing Price: Measuring Economic Performance of Human-Scale Streetscapes via New Urban Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
- Md Amiruzzaman & Ye Zhao & Stefanie Amiruzzaman & Aryn C. Karpinski & Tsung Heng Wu, 2023. "An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables," Journal of Computational Social Science, Springer, vol. 6(1), pages 315-337, April.
- Fengrui Jing & Lin Liu & Suhong Zhou & Jiangyu Song & Linsen Wang & Hanlin Zhou & Yiwen Wang & Ruofei Ma, 2021. "Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China," IJERPH, MDPI, vol. 18(1), pages 1-17, January.
- Aggelos Soteropoulos & Martin Berger & Mathias Mitteregger, 2021. "Compatibility of Automated Vehicles in Street Spaces: Considerations for a Sustainable Implementation," Sustainability, MDPI, vol. 13(5), pages 1-32, March.
- Olga Palusci & Carlo Cecere, 2022. "Urban Ventilation in the Compact City: A Critical Review and a Multidisciplinary Methodology for Improving Sustainability and Resilience in Urban Areas," Sustainability, MDPI, vol. 14(7), pages 1-44, March.
- Mahsa Farahani & Seyed Vahid Razavi-Termeh & Abolghasem Sadeghi-Niaraki & Soo-Mi Choi, 2023. "A Hybridization of Spatial Modeling and Deep Learning for People’s Visual Perception of Urban Landscapes," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
More about this item
Keywords
Deep learning; generative adversarial networks; MasterplanGAN; urban design; crowdsourced data;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:49:y:2022:i:3:p:794-814. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.