Classifying Street Spaces with Street View Images for a Spatial Indicator of Urban Functions
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- 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.
- Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2015. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life," NBER Working Papers 21778, National Bureau of Economic Research, Inc.
- Glaeser, Edward L. & Kominers, Scott Duke & Luca, Michael & Naik, Nikhil, 2015. "Big Data and Big Cities: The Promises and Limitations of Improved Measures for Urban Life," Working Paper Series 15-075, Harvard University, John F. Kennedy School of Government.
- Edward L. Glaeser & Scott Duke Kominers & Michael Luca & Nikhil Naik, 2015. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life," Harvard Business School Working Papers 16-065, Harvard Business School.
- Philip Salesses & Katja Schechtner & César A Hidalgo, 2013. "The Collaborative Image of The City: Mapping the Inequality of Urban Perception," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
- 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.
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- Junyue Yang & Xiaomei Li & Jia Du & Canhui Cheng, 2023. "Exploring the Relationship between Urban Street Spatial Patterns and Street Vitality: A Case Study of Guiyang, China," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
- Yunzi Yang & Yuanyuan Ma & Hongzan Jiao, 2021. "Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example," Land, MDPI, vol. 10(9), pages 1-23, September.
- Jonathan Stiles & Yuchen Li & Harvey J Miller, 2022. "How does street space influence crash frequency? An analysis using segmented street view imagery," Environment and Planning B, , vol. 49(9), pages 2467-2483, November.
- Jiyun Lee & Donghyun Kim & Jina Park, 2022. "A Machine Learning and Computer Vision Study of the Environmental Characteristics of Streetscapes That Affect Pedestrian Satisfaction," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
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Keywords
street view images; streetscape classification; spatial indicator of urban functions; deep learning;All these keywords.
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