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The Collaborative Image of The City: Mapping the Inequality of Urban Perception

Citations

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Cited by:

  1. Buil-Gil, David & Solymosi, Reka, 2020. "Using Crowdsourced Data to Study Crime and Place," SocArXiv 9ntk6, Center for Open Science.
  2. Galdo, Virgilio & Li, Yue & Rama, Martin, 2021. "Identifying urban areas by combining human judgment and machine learning: An application to India," Journal of Urban Economics, Elsevier, vol. 125(C).
  3. Arkoudi, Ioanna & Krueger, Rico & Azevedo, Carlos Lima & Pereira, Francisco C., 2023. "Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
  4. Buil-Gil, David & Solymosi, Reka & Moretti, Angelo, 2019. "Non-parametric bootstrap and small area estimation to mitigate bias in crowdsourced data. Simulation study and application to perceived safety," SocArXiv 8hgjt, Center for Open Science.
  5. Rossetti, Tomás & Hurtubia, Ricardo, 2020. "An assessment of the ecological validity of immersive videos in stated preference surveys," Journal of choice modelling, Elsevier, vol. 34(C).
  6. Tomás Cox & Ricardo Hurtubia, 2021. "Latent Segmentation of Urban Space through Residential Location Choice," Networks and Spatial Economics, Springer, vol. 21(1), pages 199-228, March.
  7. Zhang, Yonglin & Li, Shanlin & Dong, Rencai & Deng, Hongbing & Fu, Xiao & Wang, Chenxing & Yu, Tianshu & Jia, Tianxia & Zhao, Jingzhu, 2021. "Quantifying physical and psychological perceptions of urban scenes using deep learning," Land Use Policy, Elsevier, vol. 111(C).
  8. Xiaoli Hao & Yuhong Li & Ume Lail, 2022. "Sustainable development with city, industry, economic and environment: The role of city-industry integration on green economic growth," Journal of Regional Economics, Anser Press, vol. 1(1), pages 1-23, December.
  9. Ioanna Arkoudi & Carlos Lima Azevedo & Francisco C. Pereira, 2021. "Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance," Papers 2109.12042, arXiv.org, revised Sep 2021.
  10. Yilei Tao & Ying Wang & Xinyu Wang & Guohang Tian & Shumei Zhang, 2022. "Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China," Land, MDPI, vol. 11(3), pages 1-19, March.
  11. Hyeon-Woo Kang & Hang-Bong Kang, 2017. "Prediction of crime occurrence from multi-modal data using deep learning," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-19, April.
  12. Cristina Calleri & Arianna Astolfi & Anna Pellegrino & Francesco Aletta & Louena Shtrepi & Elena Bo & Martina Di Stefano & Paola Orecchia, 2019. "The Effect of Soundscapes and Lightscapes on the Perception of Safety and Social Presence Analyzed in a Laboratory Experiment," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
  13. Sarah Williams & Elizabeth Currid-Halkett, 2014. "Industry in Motion: Using Smart Phones to Explore the Spatial Network of the Garment Industry in New York City," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-11, February.
  14. Zhaoya Gong & Qiwei Ma & Changcheng Kan & Qianyun Qi, 2019. "Classifying Street Spaces with Street View Images for a Spatial Indicator of Urban Functions," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
  15. Cem Çağrı Dönmez & Abdulkadir Atalan, 2019. "Developing Statistical Optimization Models for Urban Competitiveness Index: Under the Boundaries of Econophysics Approach," Complexity, Hindawi, vol. 2019, pages 1-11, November.
  16. Pánek Jiří, 2018. "Participatory Mapping in Community Participation – Case Study of Jeseník, Czech Republic," Quaestiones Geographicae, Sciendo, vol. 37(3), pages 151-162, September.
  17. Hae Young Yun & Hyun-ah Kwon, 2023. "Neighborhood Identity Formation and the Changes in an Urban Regeneration Neighborhood in Gwangju, Korea," Sustainability, MDPI, vol. 15(15), pages 1-27, July.
  18. Spyridon Spyratos & Demetris Stathakis, 2018. "Evaluating the services and facilities of European cities using crowdsourced place data," Environment and Planning B, , vol. 45(4), pages 733-750, July.
  19. Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2018. "Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 114-137, January.
  20. Nikhil Naik & Ramesh Raskar & César A. Hidalgo, 2016. "Cities Are Physical Too: Using Computer Vision to Measure the Quality and Impact of Urban Appearance," American Economic Review, American Economic Association, vol. 106(5), pages 128-132, May.
  21. Nikhil Naik & Scott Duke Kominers & Ramesh Raskar & Edward L. Glaeser & César A. Hidalgo, 2015. "Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities," NBER Working Papers 21620, National Bureau of Economic Research, Inc.
  22. Morales Yago Francisco José & de Lázaro y Torres María Luisa & Gomez Ruiz María Luisa, 2018. "University Students’ Perceptions of the Inner Cities of Murcia and Valencia," Quaestiones Geographicae, Sciendo, vol. 37(3), pages 75-85, September.
  23. Zinchenko Olha, 2018. "Development of mechanism for formation and activation of territorial image potential," Technology audit and production reserves, 4(42) 2018, Socionet;Technology audit and production reserves, vol. 4(5), pages 4-10.
  24. Chaogui Kang & Dongwan Fan & Hongzan Jiao, 2021. "Validating activity, time, and space diversity as essential components of urban vitality," Environment and Planning B, , vol. 48(5), pages 1180-1197, June.
  25. Mohamed R Ibrahim & James Haworth & Tao Cheng, 2021. "URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision," Environment and Planning B, , vol. 48(1), pages 76-93, January.
  26. Gao, Jiong & Ma, Shoufeng & Wang, Lei & Shuai, Ling & Du, Huibin, 2023. "Does greenness bring more green travelling? Evidence from free-floating bike-sharing in Beijing," Journal of Transport Geography, Elsevier, vol. 109(C).
  27. Xu, Jiwei & Liu, Yaolin & Liu, Yanfang & An, Rui & Tong, Zhaomin, 2023. "Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults," Social Science & Medicine, Elsevier, vol. 338(C).
  28. Been, Vicki & Ellen, Ingrid Gould & Gedal, Michael & Glaeser, Edward & McCabe, Brian J., 2016. "Preserving history or restricting development? The heterogeneous effects of historic districts on local housing markets in New York City," Journal of Urban Economics, Elsevier, vol. 92(C), pages 16-30.
  29. Francesc Valls Dalmau & Pilar Garcia-Almirall & Ernest Redondo Domínguez & David Fonseca Escudero, 2014. "From Raw Data to Meaningful Information: A Representational Approach to Cadastral Databases in Relation to Urban Planning," Future Internet, MDPI, vol. 6(4), pages 1-28, October.
  30. Zijiao Zhang & Kangfu Zhuo & Wenhan Wei & Fu Li & Jie Yin & Liyan Xu, 2021. "Emotional Responses to the Visual Patterns of Urban Streets: Evidence from Physiological and Subjective Indicators," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
  31. Justin B Hollander & Giorgi Nikolaishvili & Alphonsus A Adu-Bredu & Minyu Situ & Shabnam Bista, 2021. "Using deep learning to examine the correlation between transportation planning and perceived safety of the built environment," Environment and Planning B, , vol. 48(7), pages 2023-2038, September.
  32. Jian Gao & Tao Zhou, 2017. "Quantifying China's Regional Economic Complexity," Papers 1703.01292, arXiv.org, revised Nov 2017.
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