Defining Urban Big Data in Urban Planning: Literature Review
Publication: Journal of Urban Planning and Development
Volume 149, Issue 1
Abstract
Despite the unprecedentedly growing discussion of big data generated in urban environments and the widespread use of so-called urban big data (UBD) in recent years, there has been no consensus or widely accepted definition of UBD. Existing UBD studies have been either case-specific or applied in specific planning domains, such as transportation or tourism planning. A comprehensive exploration of the definitions of UBD in urban planning and related fields is timely and vital. This study is a systematic review of recent literature, consolidating 49 UBD definitions from 48 published articles in 39 journals, and classifying them into four themes: characteristics, sources, analytics, and impact. We found that most definitions are not given in an urban context and do not differentiate UBD from big data in a general sense. It is difficult to arrive at a one-size-fits-all definition of what constitutes UBD. Instead, the fourfold classification of UBD definitions allows us to identify three essential qualities of UBD that differentiate UBD from general big data and benefit urban studies: refinement of both spatiotemporal features and individual attributes at the microlevel, and the capacity and impact to depict, predict, and manage cities. We also identified three categories of challenges imposed on urban planning. This study serves as a starting point for a comprehensive understanding of UBD and contributes to expanding the discussion of UBD definitions and opportunities that UBD opens up in urban planning, facilitating better city management in the future.
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References
Ali-ud-din Khan, M., M. F. Uddin, and G. Navarun. 2014. “Seven V’s of big data understanding big data to extract value.” In Proc., Zone 1 Conf. of the American Society for Engineering Education, 1–5. Piscataway, NJ: IEEE.
Allam, Z., and Z. A. Dhunny. 2019. “On big data, artificial intelligence and smart cities.” Cities 89: 80–91. https://doi.org/10.1016/j.cities.2019.01.032.
Ang, L.-M., and K. P. Seng. 2016. “Big sensor data applications in urban environments.” Big Data Res. 4: 1–12. https://doi.org/10.1016/j.bdr.2015.12.003.
Angelidou, M. 2015. “Smart cities: A conjuncture of four forces.” Cities 47: 95–106. https://doi.org/10.1016/j.cities.2015.05.004.
Assunção, M. D., R. N. Calheiros, S. Bianchi, M. A. S. Netto, and R. Buyya. 2015. “Big data computing and clouds: Trends and future directions.” J. Parallel Distrib. Comput. 79–80: 3–15. https://doi.org/10.1016/j.jpdc.2014.08.003.
Babar, M., F. Arif, M. A. Jan, Z. Tan, and F. Khan. 2019. “Urban data management system: Towards big data analytics for internet of things based smart urban environment using customized Hadoop.” Future Gener. Comput. Syst. 96: 398–409. https://doi.org/10.1016/j.future.2019.02.035.
Balduini, M., M. Brambilla, E. Della Valle, C. Marazzi, T. Arabghalizi, B. Rahdari, and M. Vescovi. 2019. “Models and practices in urban data science at scale.” Big Data Res. 17: 66–84. https://doi.org/10.1016/j.bdr.2018.04.003.
Barba-Sánchez, V., E. Arias-Antúnez, and L. Orozco-Barbosa. 2019. “Smart cities as a source for entrepreneurial opportunities: Evidence for Spain.” Technol. Forecasting Social Change 148: 119713. https://doi.org/10.1016/j.techfore.2019.119713.
Barkham, R., S. Bokhari, and A. Saiz. 2018. Urban big data: City management and real estate markets. New York: GovLab Digest.
Batty, M. 2015. “Does big data lead to smarter cities-problems, pitfalls and opportunities.” ISJLP 11: 127.
Batty, M. 2016. “Big data and the city.” Built Environ. 42 (3): 321–337. https://doi.org/10.2148/benv.42.3.321.
Batty, M. 2019. “Urban analytics defined.” Environ Plann B: Urban Anal. City Sci. 46 (3): 403–405. https://doi.org/10.1177/2399808319839494.
Bettencourt, L. M. A. 2014. “The uses of big data in cities.” Big Data 2 (1): 12–22. https://doi.org/10.1089/big.2013.0042.
Bibri, S. E. 2018. “The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability.” Sustainable Cities Soc. 38: 230–253. https://doi.org/10.1016/j.scs.2017.12.034.
Bibri, S. E., and J. Krogstie. 2017. “ICT of the new wave of computing for sustainable urban forms: Their big data and context-aware augmented typologies and design concepts.” Sustainable Cities Soc. 32: 449–474. https://doi.org/10.1016/j.scs.2017.04.012.
Boeing, G., and P. Waddell. 2017. “New insights into rental housing markets across the United States: Web scraping and analyzing craigslist rental listings.” J. Plann. Educ. Res. 37 (4): 457–476. https://doi.org/10.1177/0739456X16664789.
Boyd, D., and K. Crawford. 2012. “Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon.” Inf. Commun. Soc. 15 (5): 662–679. https://doi.org/10.1080/1369118X.2012.678878.
Celes, C., A. Boukerche, and A. A. F. Loureiro. 2019. “Crowd management: A new challenge for urban big data analytics.” IEEE Commun. Mag. 57 (4): 20–25. https://doi.org/10.1109/MCOM.2019.1800640.
Chen, B., Q. Zeng, and Z. Cheng. 2019. “Quasi-holography computational model for urban computing.” Visual Inf. 3 (2): 81–86. https://doi.org/10.1016/j.visinf.2019.07.001.
Chen, C., J. Ma, Y. Susilo, Y. Liu, and M. Wang. 2016. “The promises of big data and small data for travel behavior (aka human mobility) analysis.” Transp. Res. Part C Emerging Technol. 68: 285–299. https://doi.org/10.1016/j.trc.2016.04.005.
Chen, M., S. Mao, and Y. Liu. 2014. “Big data: A survey.” Mobile Networks Appl. 19 (2): 171–209. https://doi.org/10.1007/s11036-013-0489-0.
Cheng, J., N. Gould, L. Han, and C. Jin. 2016. “Big data for urban studies: Opportunities and challenges: A comparative perspective.” In Proc., Int. Conf. on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress, 1229–1234. Piscataway, NJ: IEEE.
Coveney, P. V., E. R. Dougherty, and R. R. Highfield. 2016. “Big data need big theory too.” Philos. Trans. R. Soc. London, Ser. A 374 (2080): 20160153. https://doi.org/10.1098/rsta.2016.0153.
De, S., Y. Zhou, I. Larizgoitia Abad, and K. Moessner. 2017. “Cyber–physical–social frameworks for urban big data systems: A survey.” Appl. Sci. 7 (10): 1017. https://doi.org/10.3390/app7101017.
De Mauro, A., M. Greco, and M. Grimaldi. 2016. “A formal definition of big data based on its essential features.” Lib. Rev. 65 (3): 122–135. https://doi.org/10.1108/LR-06-2015-0061.
de Oliveira Capela, F., and J. E. Ramirez-Marquez. 2019. “Detecting urban identity perception via newspaper topic modeling.” Cities 93: 72–83. https://doi.org/10.1016/j.cities.2019.04.009.
French, S. P., C. Barchers, and W. Zhang. 2017. “How should urban planners be trained to handle big data?” In Seeing cities through big data, edited by P. Thakuriah, N. Tilahun, and M. Zellner, 209–217. New York: Springer.
Gagliardi, D., L. Schina, M. L. Sarcinella, G. Mangialardi, F. Niglia, and A. Corallo. 2017. “Information and communication technologies and public participation: Interactive maps and value added for citizens.” Gov. Inf. Q. 34 (1): 153–166. https://doi.org/10.1016/j.giq.2016.09.002.
Gao, S., L. Li, W. Li, K. Janowicz, and Y. Zhang. 2017. “Constructing gazetteers from volunteered big geo-data based on Hadoop.” Comput. Environ. Urban Syst. 61: 172–186. https://doi.org/10.1016/j.compenvurbsys.2014.02.004.
Goodchild, M. F. 2007. “Citizens as sensors: The world of volunteered geography.” Geoj. 69 (4): 211–221. https://doi.org/10.1007/s10708-007-9111-y.
Guo, S., G. Yang, T. Pei, T. Ma, C. Song, H. Shu, Y. Du, and C. Zhou. 2019. “Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data.” Landscape Urban Plann. 181: 103–117. https://doi.org/10.1016/j.landurbplan.2018.09.016.
Hao, J., J. Zhu, and R. Zhong. 2015. “The rise of big data on urban studies and planning practices in China: Review and open research issues.” J. Urban Manage. 4 (2): 92–124. https://doi.org/10.1016/j.jum.2015.11.002.
Hu, L., S. He, Y. Luo, S. Su, J. Xin, and M. Weng. 2020. “A social-media-based approach to assessing the effectiveness of equitable housing policy in mitigating education accessibility induced social inequalities in Shanghai, China.” Land Use Policy 94: 104513. https://doi.org/10.1016/j.landusepol.2020.104513.
Hu, Y., C. Deng, and Z. Zhou. 2019. “A semantic and sentiment analysis on online neighborhood reviews for understanding the perceptions of people toward their living environments.” Ann. Am. Assoc. Geogr. 109 (4): 1052–1073. https://doi.org/10.1080/24694452.2018.1535886.
Kharrazi, A., H. Qin, and Y. Zhang. 2016. “Urban big data and sustainable development goals: Challenges and opportunities.” Sustainability 8 (12): 1293. https://doi.org/10.3390/su8121293.
Kitchin, R. 2014. “The real-time city? Big data and smart urbanism.” Geoj. 79 (1): 1–14. https://doi.org/10.1007/s10708-013-9516-8.
Kitchin, R. 2016. “The ethics of smart cities and urban science.” Philos. Trans. R. Soc. London, Ser. A 374 (2083): 20160115. https://doi.org/10.1098/rsta.2016.0115.
Kitchin, R. 2018. “Data-driven urbanism.” In Data and the city, edited by R. Kitchin, T. P. Lauriault, and G. McArdle, 44–56. London: Routledge.
Kitchin, R., and G. McArdle. 2016. “What makes big data? Exploring the ontological characteristics of 26 datasets.” Big Data Soc. 3 (1): 205395171663113. https://doi.org/10.1177/2053951716631130.
Krämer, M., S. Frese, and A. Kuijper. 2019. “Implementing secure applications in smart city clouds using microservices.” Future Gener. Comput. Syst. 99: 308–320. https://doi.org/10.1016/j.future.2019.04.042.
Kuo, C.-F. J., C.-H. Lin, and M.-H. Lee. 2018. “Analyze the energy consumption characteristics and affecting factors of Taiwan’s convenience stores-using the big data mining approach.” Energy Build. 168: 120–136. https://doi.org/10.1016/j.enbuild.2018.03.021.
Laney, D. 2001. “3D data management: Controlling data volume, velocity and variety.” META Group Research Note 6 (70): 1.
Li, J., L. Xu, L. Tang, S. Wang, and L. Li. 2018. “Big data in tourism research: A literature review.” Tourism Manage. 68: 301–323. https://doi.org/10.1016/j.tourman.2018.03.009.
Lim, C., K.-J. Kim, and P. P. Maglio. 2018. “Smart cities with big data: Reference models, challenges, and considerations.” Cities 82: 86–99. https://doi.org/10.1016/j.cities.2018.04.011.
Lin, Y., and S. Geertman. 2019. “Can social media play a role in urban planning? A literature review.” In Proc., Int. Conf. on Computers in Urban Planning and Urban Management, edited by S. Geertman, Q. Zhan, A. Allan, and C. Pettit, 69–84. Cham, Switzerland: Springer.
Liu, J., T. Li, P. Xie, S. Du, F. Teng, and X. Yang. 2020. “Urban big data fusion based on deep learning: An overview.” Inf. Fusion 53: 123–133. https://doi.org/10.1016/j.inffus.2019.06.016.
Liu, X., Y. Song, K. Wu, J. Wang, D. Li, and Y. Long. 2015. “Understanding urban China with open data.” Cities 47: 53–61. https://doi.org/10.1016/j.cities.2015.03.006.
Long, Y., W. Zhai, Y. Shen, and X. Ye. 2018. “Understanding uneven urban expansion with natural cities using open data.” Landscape Urban Plann. 177: 281–293. https://doi.org/10.1016/j.landurbplan.2017.05.008.
McNulty, E. 2014. “Understanding big data: The seven V’s.” Dataconomy (blog). Accessed October 12, 2019. https://dataconomy.com/2014/05/seven-vs-big-data/
Molinillo, S., R. Anaya-Sánchez, A. M. Morrison, and J. A. Coca-Stefaniak. 2019. “Smart city communication via social media: Analysing residents” and visitors” engagement.” Cities 94: 247–255. https://doi.org/10.1016/j.cities.2019.06.003.
Moon, T.-H., S.-Y. Heo, and S.-H. Lee. 2014. “Ubiquitous crime prevention system (UCPS) for a safer city.” Procedia Environ. Sci. 22: 288–301. https://doi.org/10.1016/j.proenv.2014.11.028.
Neilson, A., B. Daniel, and S. Tjandra. 2019. “Systematic review of the literature on big data in the transportation domain: Concepts and applications.” Big Data Res. 17: 35–44. https://doi.org/10.1016/j.bdr.2019.03.001.
Osman, A. M. S. 2019. “A novel big data analytics framework for smart cities.” Future Gener. Comput. Syst. 91: 620–633. https://doi.org/10.1016/j.future.2018.06.046.
Pan, J., and J. Lai. 2019. “Spatial pattern of population mobility among cities in China: Case study of the National Day plus Mid-Autumn Festival based on Tencent migration data.” Cities 94: 55–69. https://doi.org/10.1016/j.cities.2019.05.022.
Pan, Y., Y. Tian, X. Liu, D. Gu, and G. Hua. 2016. “Urban big data and the development of city intelligence.” Eng. 2 (2): 171–178. https://doi.org/10.1016/J.ENG.2016.02.003.
Parasol, M. 2018. “The impact of China’s 2016 Cyber Security Law on foreign technology firms, and on China’s big data and Smart City dreams.” Comput. Law Secur. Rev. 34 (1): 67–98. https://doi.org/10.1016/j.clsr.2017.05.022.
Pettit, C., A. Bakelmun, S. N. Lieske, S. Glackin, K. Hargroves, G. Thomson, H. Shearer, H. Dia, and P. Newman. 2018. “Planning support systems for smart cities.” City Cult. Soc. 12: 13–24. https://doi.org/10.1016/j.ccs.2017.10.002.
Rabari, C., and M. Storper. 2015. “The digital skin of cities: Urban theory and research in the age of the sensored and metered city, ubiquitous computing and big data.” Cambridge J. Reg. Econ. Soc. 8 (1): 27–42. https://doi.org/10.1093/cjres/rsu021.
Rathore, M. M., A. Ahmad, A. Paul, and S. Rho. 2016. “Urban planning and building smart cities based on the internet of things using big data analytics.” Comput. Networks 101: 63–80. https://doi.org/10.1016/j.comnet.2015.12.023.
Ríos, S. A., and R. Muñoz. 2017. “Land use detection with cell phone data using topic models: Case Santiago, Chile.” Comput. Environ. Urban Syst. 61: 39–48. https://doi.org/10.1016/j.compenvurbsys.2016.08.007.
Sánchez-Martínez, G. E., and M. Munizaga. 2016. “Workshop 5 report: Harnessing big data.” Res. Transp. Econ. 59: 236–241. https://doi.org/10.1016/j.retrec.2016.10.008.
Schweitzer, L. 2014. “Planning and social media: A case study of public transit and stigma on Twitter.” J. Am. Plann. Assoc. 80 (3): 218–238. https://doi.org/10.1080/01944363.2014.980439.
Shi, W., M. Goodchild, M. Batty, M.-P. Kwan, and A. Zhang. 2021. Urban informatics. Singapore: Springer.
Silva, B., M. Khan, C. Jung, J. Seo, D. Muhammad, J. Han, Y. Yoon, and K. Han. 2018. “Urban planning and smart city decision management empowered by real-time data processing using big data analytics.” Sensors 18 (9): 2994. https://doi.org/10.3390/s18092994.
Steenbruggen, J., E. Tranos, and P. Nijkamp. 2015. “Data from mobile phone operators: A tool for smarter cities?” Telecommun. Policy 39 (3): 335–346. https://doi.org/10.1016/j.telpol.2014.04.001.
Suma, S., R. Mehmood, N. Albugami, I. Katib, and A. Albeshri. 2017. “Enabling next generation logistics and planning for smarter societies.” Procedia Comput. Sci. 109: 1122–1127. https://doi.org/10.1016/j.procs.2017.05.440.
Thaduri, A., D. Galar, and U. Kumar. 2015. “Railway assets: A potential domain for big data analytics.” Procedia Comput. Sci. 53: 457–467. https://doi.org/10.1016/j.procs.2015.07.323.
Thakuriah, P. V., N. Y. Tilahun, and M. Zellner. 2017. “Big data and urban informatics: Innovations and challenges to urban planning and knowledge discovery.” In Seeing cities through big data, edited by S. Hwang, C. Evans, and T. M. Hanke, 11–45. New York: Springer.
Torre-Bastida, A. I., J. Del Ser, I. Laña, M. Ilardia, M. N. Bilbao, and S. Campos-Cordobés. 2018. “Big data for transportation and mobility: Recent advances, trends and challenges.” IET Intel. Transport Syst. 12 (8): 742–755. https://doi.org/10.1049/iet-its.2018.5188.
Wang, J., X. Kong, A. Rahim, F. Xia, A. Tolba, and Z. Al-Makhadmeh. 2017. “IS2Fun: Identification of subway station functions using massive urban data.” IEEE Access 5: 27103–27113.
West, G. 2013. “Big data needs a big theory to go with it.” Sci. Am. 308 (5): 15. https://doi.org/10.1038/scientificamerican0513-14.
Wey, W.-M., and J.-Y. Huang. 2018. “Urban sustainable transportation planning strategies for livable City’s quality of life.” Habitat Int. 82: 9–27. https://doi.org/10.1016/j.habitatint.2018.10.002.
Xiao, N., and H. J. Miller. 2021. “Cultivating urban big data.” In Urban informatics, edited by W. Shi, M. F. Goodchild, M. Batty, M.-P. Kwan, and A. Zhang, 547–565. New York: Springer.
Yin, L., Q. Cheng, Z. Wang, and Z. Shao. 2015. ““Big data” for pedestrian volume: Exploring the use of Google Street View images for pedestrian counts.” Appl. Geogr. 63: 337–345. https://doi.org/10.1016/j.apgeog.2015.07.010.
Yue, Y., T. Lan, A. G. O. Yeh, and Q.-Q. Li. 2014. “Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies.” Travel Behav. Soc. 1 (2): 69–78. https://doi.org/10.1016/j.tbs.2013.12.002.
Zhang, P., J. Zhou, and T. Zhang. 2017. “Quantifying and visualizing jobs-housing balance with big data: A case study of Shanghai.” Cities 66: 10–22. https://doi.org/10.1016/j.cities.2017.03.004.
Zhou, H., and S. Zhou. 2019. “Scene categorization towards urban tunnel traffic by image quality assessment.” J. Visual Commun. Image Represent. 65: 102655. https://doi.org/10.1016/j.jvcir.2019.102655.
Zou, Z., T. Cai, and K. Cao. 2020. “An urban big data-based air quality index prediction: A case study of routes planning for outdoor activities in Beijing.” Environ. Plann. B 47 (6): 948–963. https://doi.org/10.1177/2399808319862292.
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Published In
Journal of Urban Planning and Development
Volume 149 • Issue 1 • March 2023
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© 2022 American Society of Civil Engineers.
History
Received: Oct 20, 2021
Accepted: Aug 12, 2022
Published online: Oct 27, 2022
Published in print: Mar 1, 2023
Discussion open until: Mar 27, 2023
ASCE Technical Topics:
- Bibliographies
- Big data
- Buildings
- Engineering fundamentals
- Facilities (by type)
- Facility management
- Information management
- Infrastructure
- Methodology (by type)
- Recreation
- Research methods (by type)
- Structural engineering
- Structures (by type)
- Terminology and definition
- Tourism
- Transportation engineering
- Transportation management
- Transportation studies
- Urban and regional development
- Urban areas
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