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Big Data And Big Cities: The Promises And Limitations Of Improved Measures Of Urban Life

Citations

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Cited by:

  1. Christensen, Peter & Osman, Adam, 2021. "The Demand for Mobility: Evidence from an Experiment with Uber Riders," IZA Discussion Papers 14179, Institute of Labor Economics (IZA).
  2. Ying Long & Yimeng Song & Long Chen, 2022. "Identifying subcenters with a nonparametric method and ubiquitous point-of-interest data: A case study of 284 Chinese cities," Environment and Planning B, , vol. 49(1), pages 58-75, January.
  3. Rodríguez-Pose, Andrés & Obschonka, Martin & Lee, Neil & Eichstaedt , Johannes & Ebert, Tobias, 2018. "Big Data, artificial intelligence and the geography of entrepreneurship in the United States," CEPR Discussion Papers 12949, C.E.P.R. Discussion Papers.
  4. Remi Jedwab & Prakash Loungani & Anthony Yezer, 2019. "How Should We Measure City Size? Theory and Evidence Within and Across Rich and Poor Countries," Working Papers 2019-11, The George Washington University, Institute for International Economic Policy.
  5. Patacchini, Eleonora & Barwick, Panle Jia & Liu, Yanyan & Wu, Qi, 2019. "Information, Mobile Communication, and Referral Effects," CEPR Discussion Papers 13786, C.E.P.R. Discussion Papers.
  6. Min Wu & Bingxin Yan & Ying Huang & Md Nazirul Islam Sarker, 2022. "Big Data-Driven Urban Management: Potential for Urban Sustainability," Land, MDPI, vol. 11(5), pages 1-16, May.
  7. Steven C Bourassa & Martin Hoesli & Louis Merlin & John Renne, 2021. "Big data, accessibility and urban house prices," Urban Studies, Urban Studies Journal Limited, vol. 58(15), pages 3176-3195, November.
  8. Shenhao Wang & Qingyi Wang & Nate Bailey & Jinhua Zhao, 2018. "Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective," Papers 1810.10465, arXiv.org, revised Sep 2019.
  9. Hao Wu & Hongzan Jiao & Yang Yu & Zhigang Li & Zhenghong Peng & Lingbo Liu & Zheng Zeng, 2018. "Influence Factors and Regression Model of Urban Housing Prices Based on Internet Open Access Data," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
  10. Wang, Shenhao & Wang, Qingyi & Bailey, Nate & Zhao, Jinhua, 2021. "Deep neural networks for choice analysis: A statistical learning theory perspective," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 60-81.
  11. Chong, Shi Kai & Bahrami, Mohsen & Chen, Hao & balcisoy, Selim & Bozkaya, Burcin & Pentland, Alex 'Sandy', 2020. "Economic outcomes predicted by diversity in cities," OSF Preprints j59u3, Center for Open Science.
  12. Werner Liebregts & Pourya Darnihamedani & Eric Postma & Martin Atzmueller, 2020. "The promise of social signal processing for research on decision-making in entrepreneurial contexts," Small Business Economics, Springer, vol. 55(3), pages 589-605, October.
  13. 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.
  14. Elliot Anenberg & Chun Kuang & Edward Kung, 2022. "Social learning and local consumption amenities: Evidence from Yelp," Journal of Industrial Economics, Wiley Blackwell, vol. 70(2), pages 294-322, June.
  15. Edward L. Glaeser, 2020. "Urbanization and Its Discontents," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 191-218, April.
  16. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
  17. 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.
  18. Shenhao Wang & Baichuan Mo & Jinhua Zhao, 2020. "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks," Papers 2010.11644, arXiv.org.
  19. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
  20. Hossain, Marup & Mullally, Conner & Asadullah, M. Niaz, 2019. "Alternatives to calorie-based indicators of food security: An application of machine learning methods," Food Policy, Elsevier, vol. 84(C), pages 77-91.
  21. Francesco Cappa & Stefano Franco & Federica Rosso, 2022. "Citizens and cities: Leveraging citizen science and big data for sustainable urban development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 648-667, February.
  22. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
  23. Plakandaras, Vasilios & Gogas, Periklis & Papadimitriou, Theophilos & Gupta, Rangan, 2019. "A re-evaluation of the term spread as a leading indicator," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 476-492.
  24. Seung Jin Cho & Jun Yeong Lee & John V. Winters, 2021. "Employment impacts of the COVID‐19 pandemic across metropolitan status and size," Growth and Change, Wiley Blackwell, vol. 52(4), pages 1958-1996, December.
  25. Kuang, Chun, 2017. "Does quality matter in local consumption amenities? An empirical investigation with Yelp," Journal of Urban Economics, Elsevier, vol. 100(C), pages 1-18.
  26. Selod,Harris & Soumahoro,Souleymane, 2020. "Big Data in Transportation : An Economics Perspective," Policy Research Working Paper Series 9308, The World Bank.
  27. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
  28. Andreani, Stefano & Kalchschmidt, Matteo & Pinto, Roberto & Sayegh, Allen, 2019. "Reframing technologically enhanced urban scenarios: A design research model towards human centered smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 15-25.
  29. Prithwiraj Choudhury & Dan Wang & Natalie A. Carlson & Tarun Khanna, 2019. "Machine learning approaches to facial and text analysis: Discovering CEO oral communication styles," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1705-1732, November.
  30. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
  31. Arntz, Melanie & Brüll, Eduard & Lipowski, Cäcilia, 2021. "Do preferences for urban amenities really differ by skill?," ZEW Discussion Papers 21-045, ZEW - Leibniz Centre for European Economic Research.
  32. Susan Athey & Billy A. Ferguson & Matthew Gentzkow & Tobias Schmidt, 2020. "Experienced Segregation," NBER Working Papers 27572, National Bureau of Economic Research, Inc.
  33. Li, Huixuan & Chen, Jing & Chen, Zihao & Xu, Jianguo, 2022. "Urban population distribution in China: Evidence from internet population," China Economic Review, Elsevier, vol. 74(C).
  34. Kiran Khurshid & Aamar Danish & Muhammad Usama Salim & Muhammed Bayram & Togay Ozbakkaloglu & Mohammad Ali Mosaberpanah, 2023. "An In-Depth Survey Demystifying the Internet of Things (IoT) in the Construction Industry: Unfolding New Dimensions," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
  35. Agnese Carella & Federica Ciocchetta & Valentina Michelangeli & Federico Maria Signoretti, 2020. "What can we learn about mortgage supply from online data?," Questioni di Economia e Finanza (Occasional Papers) 583, Bank of Italy, Economic Research and International Relations Area.
  36. 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).
  37. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," Economics working papers 2021-08, Department of Economics, Johannes Kepler University Linz, Austria.
  38. Jeremy Gabe & Spenser Robinson & Andrew Sanderford, 2022. "Willingness to Pay for Attributes of Location Efficiency," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 384-418, October.
  39. Qiwei Song & Yifeng Liu & Waishan Qiu & Ruijun Liu & Meikang Li, 2022. "Investigating the Impact of Perceived Micro-Level Neighborhood Characteristics on Housing Prices in Shanghai," Land, MDPI, vol. 11(11), pages 1-21, November.
  40. Li, Jing & Li, Liyao & Liu, Shimeng, 2022. "Attenuation of agglomeration economies: Evidence from the universe of Chinese manufacturing firms," Journal of Urban Economics, Elsevier, vol. 130(C).
  41. Wang, Shenhao & Mo, Baichuan & Zhao, Jinhua, 2021. "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 333-358.
  42. Ruiqiao Bai & Jacqueline C. K. Lam & Victor O. K. Li, 2023. "What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG)," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
  43. Zimu Jia & Long Chen & Jingjia Chen & Guowei Lyu & Ding Zhou & Ying Long, 2020. "Urban modeling for streets using vector cellular automata: Framework and its application in Beijing," Environment and Planning B, , vol. 47(8), pages 1418-1439, October.
  44. Guan‐Yuan Wang, 2023. "The effect of environment on housing prices: Evidence from the Google Street View," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 288-311, March.
  45. Jane Andrew & Max Baker, 2021. "The General Data Protection Regulation in the Age of Surveillance Capitalism," Journal of Business Ethics, Springer, vol. 168(3), pages 565-578, January.
  46. Wei He & Ruqing Zhao & Shu Gao, 2024. "Exploring the Impact of Multimodal Access on Property and Land Economies in Shanghai’s Inner Ring Districts: Leveraging Advanced Spatial Analysis Techniques," Land, MDPI, vol. 13(3), pages 1-19, February.
  47. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
  48. Vaia Moustaka & Antonios Maitis & Athena Vakali & Leonidas G. Anthopoulos, 2021. "Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization," Sustainability, MDPI, vol. 13(15), pages 1-43, July.
  49. Li, Han & Wei, Yehua Dennis & Wu, Yangyi, 2019. "Analyzing the private rental housing market in Shanghai with open data," Land Use Policy, Elsevier, vol. 85(C), pages 271-284.
  50. Norman Simón Rodríguez Cano, 2018. "Tendencias actuales en la evaluación de políticas públicas," Ensayos de Economía 17296, Universidad Nacional de Colombia Sede Medellín.
  51. Martin Obschonka & Neil Lee & Andrés Rodríguez-Pose & Johannes C. Eichstaedt & Tobias Ebert, 2020. "Big data methods, social media, and the psychology of entrepreneurial regions: capturing cross-county personality traits and their impact on entrepreneurship in the USA," Small Business Economics, Springer, vol. 55(3), pages 567-588, October.
  52. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
  53. Imryoung Jeong & Hyunjoo Yang, 2021. "Using maps to predict economic activity," Papers 2112.13850, arXiv.org, revised Apr 2022.
  54. de Lucio, Juan, 2021. "Estimación adelantada del crecimiento regional mediante redes neuronales LSTM," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 49, pages 45-64.
  55. Kevin Kane & Young-An Kim, 2020. "Parcels, points, and proximity: Can exhaustive sources of big data improve measurement in cities?," Environment and Planning B, , vol. 47(4), pages 695-715, May.
  56. van Vuuren, Aico, 2023. "Is there a diminishing willingness to pay for consumption amenities as a result of the Covid-19 pandemic?," Regional Science and Urban Economics, Elsevier, vol. 98(C).
  57. Dara Lee Luca & Michael Luca, 2017. "Survival of the Fittest: The Impact of the Minimum Wage on Firm Exit," Harvard Business School Working Papers 17-088, Harvard Business School, revised Aug 2018.
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