Delineation of the Shanghai Megacity Region of China from a Commuting Perspective: Study Based on Cell Phone Network Data in the Yangtze River Delta
Publication: Journal of Urban Planning and Development
Volume 147, Issue 3
Abstract
This study presents a method for delineating a megacity region with functional linkages in a continuous urbanized area. We examine commuting from cellphone network data and delimitate the Shanghai megacity region from 16 cities in the Yangtze River Delta, China. First, we identify places of residence and work based on certain durations of stay in one location from cellphone network data and obtain commuting data in 1 km2 grids. Second, the core area of the megacity region can be defined as a continuous high-density area by applying incoming employment density as a functional linkage. We use local spatial autocorrelation to define the hotspots of continuous high-density areas and identify a Shanghai-centered continuous high-value area. Third, we choose an algorithm that gradually increases the density threshold based on the results of local spatial autocorrelation to eliminate areas with weak functional connectivity, and delineate the boundary of the core area of the Shanghai megacity region. Results show that the core area exceeds the boundary of Shanghai Municipality and comprises the main urbanized areas of Shanghai and Suzhou. This study provides an effective method for delineating megacity regions by using functional linkages from cellphone network data and for accurately delimitating the boundary of megacity regions.
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Acknowledgments
The study was supported by National Natural Science Foundation of China (Grant No. 51878457).
References
Ahas, R., S. Silm, O. Järv, E. Saluveer, and M. Tiru. 2010. “Using mobile positioning data to model locations meaningful to users of mobile phones.” J. Urban Technol. 17 (1): 3–27. https://doi.org/10.1080/10630731003597306.
Alexander, L., S. Jiang, M. Murga, and M. C. González. 2015. “Origin–destination trips by purpose and time of day inferred from mobile phone data.” Transp. Res. Part C Emerging Technol. 58: 240–250. https://doi.org/10.1016/j.trc.2015.02.018.
Antikainen, J. 2005. “The concept of functional urban area. Findings of the ESPON project 1.1.1.” Informationen zur Raumentwicklung 7: 447–456.
Becker, R. A., R. Cáceres, K. Hanson, J. M. Loh, S. Urbanek, A. Varshavsky, and C. Volinsky. 2011. “A tale of one city: Using cellular network data for urban planning.” IEEE Pervasive Comput. 10 (4): 18–26. https://doi.org/10.1109/MPRV.2011.44.
Bennett, R. J. 1985. “Central city—city region fiscal disparities in Austria: Estimates for 1979.” Urban Stud. 22 (1): 69–81. https://doi.org/10.1080/00420988520080071.
Burger, M. J., B. de Goei, L. van der Laan, and F. J. M. Huisman. 2011. “Heterogeneous development of metropolitan spatial structure: Evidence from commuting patterns in English and Welsh city-regions, 1981–2001.” Cities 28 (2): 160–170. https://doi.org/10.1016/j.cities.2010.11.006.
Calabrese, F., M. Colonna, P. Lovisolo, D. Parata, and C. Ratti. 2011. “Real-time urban monitoring using cell phones: A case study in Rome.” IEEE Trans. Intell. Transp. Syst. 12 (1): 141–151. https://doi.org/10.1109/TITS.2010.2074196.
Calabrese, F., F. C. Pereira, G. Di Lorenzo, L. Liu, and C. Ratti. 2010. “The geography of taste: Analyzing cell-phone mobility and social events.” In Int. Conf. on Pervasive Computing, 22–37: Dordrecht, Netherlands: Springer.
Chen, J., K.-T. Chang, D. Karacsonyi, and X. Zhang. 2014. “Comparing urban land expansion and its driving factors in Shenzhen and Dongguan, China.” Habitat Int. 43: 61–71. https://doi.org/10.1016/j.habitatint.2014.01.004.
Cheng, Y., and R. LeGates. 2018. “China's hybrid global city region pathway: Evidence from the Yangtze River Delta.” Cities 77: 81–91. https://doi.org/10.1016/j.cities.2018.01.015.
Coombes, M. 2014. “From city-region concept to boundaries for governance: The English case.” Urban Stud. 51 (11): 2426–2443. https://doi.org/10.1177/0042098013493482.
Davoudi, S. 2003. “European briefing: polycentricity in European spatial planning: From an analytical tool to a normative agenda.” Eur. Plann. Stud. 11 (8): 979–999. https://doi.org/10.1080/0965431032000146169.
Deng, P., Q. Hu, Y. Wang, S. Lv, and D. Zhang. 2016. “Use of the DMSP-OLS nighttime light data to study urbanization and its influence on NDVI in Taihu Basin, China.” J. Urban Plann. Dev. 142 (4): 04016018. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000339.
Dessemontet, P., V. Kaufmann, and C. Jemelin. 2010. “Switzerland as a single metropolitan area? A study of its commuting network.” Urban Stud. 47 (13): 2785–2802. https://doi.org/10.1177/0042098010377371.
Deville, P., C. Linard, S. Martin, M. Gilbert, F. R. Stevens, A. E. Gaughan, V. D. Blondel, and A. J. Tatem. 2014. “Dynamic population mapping using mobile phone data.” Proc. Natl. Acad. Sci. U.S.A. 111 (45): 15888–15893. https://doi.org/10.1073/pnas.1408439111.
Dickinson, R. E. 2013. City region and regionalism: A geographical contribution to human ecology. Oxfordshire, UK: Routledge.
Doyle, J., P. Hung, R. Farrell, and S. McLoone. 2014. “Population mobility dynamics estimated from mobile telephony data.” J. Urban Technol. 21 (2): 109–132. https://doi.org/10.1080/10630732.2014.888904.
Ertur, C., and J. Le Gallo. 2003. “An exploratory spatial data analysis of European regional disparities, 1980–1995.” In European regional growth. Advances in spatial science, edited by B. Fingleton, 55–97. Dordrecht, Netherlands: Springer.
Gao, J., Y. Wei, W. Chen, and K. Yenneti. 2015. “Urban land expansion and structural change in the Yangtze River Delta, China.” Sustainability 7 (8): 10281–10307. https://doi.org/10.3390/su70810281.
Geddes, P. 1915. Cities in evolution. London: William and Norgate Limited.
Getis, A., and J. K. Ord. 1992. “The analysis of spatial association by use of distance statistics.” Geog. Anal. 24 (3): 189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x.
Girardin, F., F. Calabrese, F. D. Fiore, C. Ratti, and J. Blat. 2008. “Digital footprinting: Uncovering tourists with user-generated content.” IEEE Pervasive Comput. 7 (4): 36–43. https://doi.org/10.1109/MPRV.2008.71.
Girardin, F., A. Vaccari, A. Gerber, A. Biderman, and C. Ratti. 2009. “Quantifying urban attractiveness from the distribution and density of digital footprints.” Int. J. Spatial Data Infrastruct. Res. 4: 175–200. https://doi.org/ 10.2902/1725-0463.2009.04.art10.
Grunfelder, J., T. A. S. Nielsen, and N. B. Groth. 2015. “Changes to urban form and commuting patterns: Trends in two Danish city regions.” Norsk. Geogr. Tidsskr. - Norw. J. Geogr. 115 (2): 73–87. https://doi.org/10.1080/00167223.2015.1060864.
Hall, P. 2009. “Looking backward, looking forward: The city region of the mid-21st century.” Reg. Stud. 43 (6): 803–817. https://doi.org/10.1080/00343400903039673.
Hall, P., and K. Pain. 2006. The polycentric metropolis: Learning from mega-city regions in Europe. Oxfordshire, UK: Routledge.
Hanssens, H., B. Derudder, S. Van Aelst, and F. Witlox. 2013. “Assessing the functional polycentricity of the mega-city-region of central Belgium based on advanced producer service transaction links.” Reg. Stud. 48 (12): 1939–1953. https://doi.org/10.1080/00343404.2012.759650.
Imhoff, M. L., W. T. Lawrence, D. C. Stutzer, and C. D. Elvidge. 1997. “A technique for using composite DMSP/OLS “city lights” satellite data to map urban area.” Remote Sens. Environ. 61 (3): 361–370. https://doi.org/10.1016/S0034-4257(97)00046-1.
Isaacman, S., R. A. Becker, R. Cáceres, S. Kobourov, M. Martonosi, J. Rowland, and A. Varshavsky. 2011. “Identifying important places in people’s lives from cellular network data.” In Int. Conf. on Pervasive Computing, 133–151, Dordrecht, Netherlands: Springer. https://doi.org/10.1007/978-3-642-21726-5_9.
Isaacman, S., R. Becker, R. Cáceres, S. Kobourov, J. Rowland, and A. Varshavsky. 2010. “A tale of two cities.” In Proc., 11th Workshop on Mobile Computing Systems & Applications, 19–24: New York: ACM. https://doi.org/10.1145/1734583.1734589.
Jarv, O., R. Ahas, E. Saluveer, B. Derudder, and F. Witlox. 2012. “Mobile phones in a traffic flow: A geographical perspective to evening rush hour traffic analysis using call detail records.” PLoS One 7 (11): e49171. https://doi.org/10.1371/journal.pone.0049171.
Kang, C. 2020. “Effects of the human and built environment on neighborhood vitality: Evidence from Seoul, Korea, using mobile phone data.” J. Urban Plann. Dev. 146 (4): 05020024. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000620.
Kauffmann, A. 2012. Delineation of city regions based on commuting interrelations: The example of large cities in Germany. IWH Discussion Papers 4/2012. Halle, Germany: Halle Institute for Economic Research.
Klapka, P., M. Halás, M. Erlebach, P. Tonev, and M. Bednář. 2014. “A multistage agglomerative approach for defining functional regions of the Czech Republic: The use of 2001 commuting data.” Moravian Geog. Rep. 22 (4): 2–13. https://doi.org/10.1515/mgr-2014-0019.
Krisp, J. M. 2010. “Planning fire and rescue services by visualizing mobile phone density.” J. Urban Technol. 17 (1): 61–69. https://doi.org/10.1080/10630731003597330.
Lai, J., and J. Pan. 2020. “China's city network structural characteristics based on population flow during spring festival travel rush: Empirical analysis of “tencent migration” big data.” J. Urban Plann. Dev. 146(2): 04020018. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000581.
Li, Y., and N. Phelps. 2018. “Megalopolis unbound: Knowledge collaboration and functional polycentricity within and beyond the Yangtze River Delta Region in China, 2014.” Urban Stud. 55 (2): 443–460. https://doi.org/10.1177/0042098016656971.
Li, Y., and N. A. Phelps. 2017. “Knowledge polycentricity and the evolving Yangtze River Delta megalopolis.” Reg. Stud. 51 (7): 1035–1047. https://doi.org/10.1080/00343404.2016.1240868.
Liu, X., B. Derudder, and M. Wang. 2018. “Polycentric urban development in China: A multi-scale analysis.” Environ. Plann. B. 45 (5): 953–972. https://doi.org/10.1177/2399808317690155.
Liu, X., B. Derudder, and K. Wu. 2016. “Measuring polycentric urban development in China: An intercity transportation network perspective.” Reg. Stud. 50 (8): 1302–1315. https://doi.org/10.1080/00343404.2015.1004535.
NBS (National Bureau of Statistics of China). 2012. Sixth National population census of the People's Republic of China. Beijing: NBS.
Neuman, M., and A. Hull. 2009. “The futures of the city region.” Reg. Stud. 43 (6): 777–787. https://doi.org/10.1080/00343400903037511.
Nilbe, K., R. Ahas, and S. Silm. 2014. “Evaluating the travel distances of events visitors and regular visitors using mobile positioning data: The case of Estonia.” J. Urban Technol. 21 (2): 91–107. https://doi.org/10.1080/10630732.2014.888218.
Ord, J. K., and A. Getis. 1995. “Local spatial autocorrelation statistics: Distributional issues and an application.” Geog. Anal. 27 (4): 286–306. https://doi.org/10.1111/j.1538-4632.1995.tb00912.x.
Pain, K. 2006. “Policy challenges of functional polycentricity in a global mega-city region: South East England.” Built Environ. 32 (2): 194–205. https://doi.org/10.2148/benv.32.2.194.
Parr, J. 2005. “Perspectives on the city-region.” Reg. Stud. 39 (5): 555–566. https://doi.org/10.1080/00343400500151798.
Parr, J. B. 2008. “Cities and regions: Problems and potentials.” Environ. Plann. A 40 (12): 3009–3026. https://doi.org/10.1068/a40217.
Ratti, C., D. Frenchman, R. M. Pulselli, and S. Williams. 2006. “Mobile landscapes: Using location data from cell phones for urban analysis.” Environ. Plann. B 33 (5): 727–748. https://doi.org/10.1068/b32047.
Reades, J., F. Calabrese, A. Sevtsuk, and C. Ratti. 2007. “Cellular census: Explorations in urban data collection.” IEEE Pervasive Comput. 6 (3): 30–38. https://doi.org/10.1109/MPRV.2007.53.
Reades, J., and D. A. Smith. 2014. “Mapping the ‘space of flows’: The geography of global business telecommunications and employment specialization in the London Mega-City-Region.” Reg. Stud. 48 (1): 105–126. https://doi.org/10.1080/00343404.2013.856515.
Rodríguez-Pose, A. 2008. “The rise of the “city-region” concept and its development policy implications.” Eur. Plann. Stud. 16 (8): 1025–1046. https://doi.org/10.1080/09654310802315567.
Schneider, C. M., V. Belik, T. Couronne, Z. Smoreda, and M. C. González. 2013. “Unravelling daily human mobility motifs.” J. R. Soc. Interface 10 (84): 20130246. https://doi.org/10.1098/rsif.2013.0246.
Silm, S., and R. Ahas. 2010. “The seasonal variability of population in Estonian municipalities.” Environ. Plann. A 42 (10): 2527–2546. https://doi.org/10.1068/a43139.
Tu, W., J. Cao, Y. Yue, S.-L. Shaw, M. Zhou, Z. Wang, X. Chang, Y. Xu, and Q. Li. 2017. “Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns.” Int. J. Geog. Inf. Sci. 31 (12): 2331–2358. https://doi.org/10.1080/13658816.2017.1356464.
Wismans, L. J. J., K. Friso, J. Rijsdijk, S. W. de Graaf, and J. Keij. 2018. “Improving a priori demand estimates transport models using mobile phone data: A Rotterdam-Region Case.” J. Urban Technol. 25 (2): 63–83. https://doi.org/10.1080/10630732.2018.1442075.
Wu, K., C. Fang, H. Huang, and J. Wang. 2013. “Comprehensive delimitation and ring identification on urban spatial radiation of regional central cities: Case study of Zhengzhou.” J. Urban Plann. Dev. 139 (4): 258–273. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000120.
Wu, W., and X. Niu. 2019. “Influence of built environment on urban vitality: Case study of Shanghai using mobile phone location data.” J. Urban Plann. Dev. 145(3): 04019007. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000513.
Yan, L., D. Wang, S. Zhang, and D. Xie. 2019. “Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: A case study in Shanghai.” Transportation 46 (3): 777–792. https://doi.org/10.1007/s11116-018-9894-3.
Yang, X., Z. Fang, L. Yin, J. Li, Y. Zhou, and S. Lu. 2018. “Understanding the spatial structure of urban commuting using mobile phone location data: A case study of Shenzhen, China.” Sustainability 10(5): 1435. https://doi.org/10.3390/su10051435.
Yeh, A. G.-O., and X. Li. 2001. “Measurement and monitoring of urban sprawl in a rapidly growing region using entropy.” Photogramm. Eng. Remote Sens. 67(1): 83–90.
Yeh, A. G. O., F. F. Yang, and J. Wang. 2015. “Producer service linkages and city connectivity in the mega-city region of China: A case study of the Pearl River Delta.” Urban Stud. 52 (13): 2458–2482. https://doi.org/10.1177/0042098014544762.
Yu, B., S. Shu, H. Liu, W. Song, J. Wu, L. Wang, and Z. Chen. 2014. “Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images: A case study of China.” Int. J. Geog. Inf. Sci. 28 (11): 2328–2355. https://doi.org/10.1080/13658816.2014.922186.
Yue, W., L. Zhang, and Y. Liu. 2016. “Measuring sprawl in large Chinese cities along the Yangtze River via combined single and multidimensional metrics.” Habitat Int. 57: 43–52. https://doi.org/10.1016/j.habitatint.2016.06.009.
Zeng, C., Y. Liu, A. Stein, and L. Jiao. 2015. “Characterization and spatial modeling of urban sprawl in the Wuhan Metropolitan Area, China.” Int. J. Appl. Earth Obs. Geoinf. 34: 10–24. https://doi.org/10.1016/j.jag.2014.06.012.
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.
Zhang, W., B. Derudder, J. Wang, and W. Shen. 2018. “Regionalization in the Yangtze River Delta, China, from the perspective of inter-city daily mobility.” Reg. Stud. 52 (4): 528–541. https://doi.org/10.1080/00343404.2017.1334878.
Zhang, W., B. Derudder, J. Wang, W. Shen, and F. Witlox. 2016. “Using location-based social media to chart the patterns of people moving between cities: The case of Weibo-users in the Yangtze River Delta.” J. Urban Technol. 23 (3): 91–111. https://doi.org/10.1080/10630732.2016.1177259.
Zhao, M., B. Derudder, and J. Huang. 2017. “Examining the transition processes in the Pearl River Delta polycentric mega-city region through the lens of corporate networks.” Cities 60: 147–155. https://doi.org/10.1016/j.cities.2016.08.015.
Zhao, M., X. Liu, B. Derudder, Y. Zhong, and W. Shen. 2015a. “Mapping producer services networks in mainland Chinese cities.” Urban Stud. 52 (16): 3018–3034. https://doi.org/10.1177/0042098014558541.
Zhao, M., K. Wu, X. Liu, and D. Ben. 2015b. “A novel method for approximating intercity networks: An empirical comparison for validating the city networks in two Chinese city-regions.” J. Geog. Sci. 25 (3): 337–354. https://doi.org/10.1007/s11442-015-1172-0.
Zhen, F., Y. Cao, X. Qin, and B. Wang. 2017. “Delineation of an urban agglomeration boundary based on Sina Weibo microblog “check-in” data: A case study of the Yangtze River Delta.” Cities 60: 180–191. https://doi.org/10.1016/j.cities.2016.08.014.
Zhou, D., L. Zhang, and R. Wang. 2018a. “Administrative-hierarchical urban land expansion in China: Urban agglomeration in the Yangtze River Delta.” J. Urban Plann. Dev. 144: 05018018. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000480.
Zhou, X., A. G. O. Yeh, W. Li, and Y. Yue. 2018b. “A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data.” Environ. Plann. B 45 (3): 434–451. https://doi.org/10.1177/2399808317707967.
Zhou, X., A. G. O. Yeh, and Y. Yue. 2018c. “Spatial variation of self-containment and jobs-housing balance in shenzhen using cellphone big data.” J. Transp. Geogr. 68: 102–108. https://doi.org/10.1016/j.jtrangeo.2017.12.006.
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Journal of Urban Planning and Development
Volume 147 • Issue 3 • September 2021
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© 2021 American Society of Civil Engineers.
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Received: Jun 28, 2020
Accepted: Jan 20, 2021
Published online: Apr 19, 2021
Published in print: Sep 1, 2021
Discussion open until: Sep 19, 2021
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