The shapes of US cities: Revisiting the classic population density functions using crowdsourced geospatial data
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DOI: 10.1177/0042098019871191
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Cited by:
- Jon Bannister & Anthony O’Sullivan, 2021. "Big Data in the city," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3061-3070, November.
- Haotian Zhong & Wei Li, 2023. "What if autonomous vehicles had been introduced into cities? A counterfactual analysis," Urban Studies, Urban Studies Journal Limited, vol. 60(16), pages 3198-3215, December.
- Liotta, Charlotte & Viguié, Vincent & Lepetit, Quentin, 2022. "Testing the monocentric standard urban model in a global sample of cities," Regional Science and Urban Economics, Elsevier, vol. 97(C).
- Jian Feng & Yanguang Chen, 2021. "Modeling Urban Growth and Socio-Spatial Dynamics of Hangzhou, China: 1964–2010," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
- 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.
- Margherita Carlucci & Gloria Polinesi & Luca Salvati, 2023. "Agglomeration vs amenities? Unraveling the latent engine of growth in metropolitan Greece," Environment and Planning B, , vol. 50(9), pages 2491-2509, November.
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Keywords
agglomeration; crowdsourced geospatial data; employment; labour; land use; population distribution; transport; urbanisation;All these keywords.
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