Understanding the spatiotemporal patterns of nighttime urban vibrancy in central Shanghai inferred from mobile phone data

doi:10.1016/j.regsus.2021.11.006

Abstract

Abstract:

In recent years, major cities around the world such as New York in USA, Melbourne in Australia, and Shanghai in China, have planned to boost their nighttime urban vibrancy levels to spur the economy and achieve cultural diversity. The study of nighttime urban vibrancy from the perspective of spatiotemporal characteristics is increasingly being recognized as part of the essential work in the field of urban planning and geography. This research used mobile phone signaling records to measure urban vibrancy in central Shanghai and revealed its spatiotemporal patterns during nighttime. Specifically, this research explored the changes of urban vibrancy within a day, studied the distribution of urban vibrancy during the nighttime, and visually presented the spatiotemporal changes of nighttime urban vibrancy in central Shanghai. Moreover, on the basis of the behavior pattern of each mobile user, we classified nighttime urban vibrancy into three different types: nighttime working vibrancy, nighttime leisure vibrancy, and nighttime floating vibrancy. We then tried to determine how land use affected nighttime leisure vibrancy. The results showed that urban vibrancy in central Shanghai exhibits a periodic pattern over one-day period. A high-level nighttime urban vibrancy belt is present within central Shanghai. Business offices, hotels, entertainment and recreational districts, wholesale markets, and express services contribute most to the vibrancy at nighttime. In addition, the correlation analysis shows that public and commercial facilities generate high levels of nighttime leisure vibrancy than residential facilities. The mixed land use of public and commercial facilities and residential facilities within 500 m is more critical than the mixed use of a single land lot. The research can be a basis for supporting land use planning and providing evidence for policy-making to improve the level of nighttime urban vibrancy in cities.

Key words: Nighttime urban vibrancy, Mobile phone data, Land use, Public and commercial facilities, Residential facilities, Central Shanghai

ZHANG Yangfan, ZHONG Weijing, WANG De, LIN Feng-Tyan. Understanding the spatiotemporal patterns of nighttime urban vibrancy in central Shanghai inferred from mobile phone data[J]. Regional Sustainability, 2021, 2(4): 297-307.

Figures/Tables 12

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User ID	Timestamp	Tower ID	Event ID
00000077D60EEDE43166F9C9CBF321C4	20140316131406	632258594	110
00000077D60EEDE43166F9C9CBF321C4	20140316131418	632258289	110
……	……	……	……
000000E974A986C39B1C18A63709EB48	20140316175854	617265265	61

Indicator	Weekdays		Weekends
Indicator	22:00-24:00 (evening)	02:00-04:00 (late-night)	22:00-24:00 (evening)	02:00-04:00 (late-night)
Average nighttime urban vibrancy density (users/km²)	2309	306	2096	324
Maximum nighttime urban vibrancy density (users/km²)	11,396	2169	10,379	2835
Standard deviation (users/km²)	2058	289	1893	336

Buffer distance (m)	Area proportion of public and commercial facilities	Area proportion of residential facilities	Area proportion of industrial facilities	Mixed land use of public and commercial facilities and residential facilities
0	0.345^***	0.345^***	-0.270^***	0.412^***
250	0.421^***	0.407^***	-0.327^***	0.441^***
500	0.469^***	0.448^***	-0.366^***	0.421^***
750	0.500^***	0.482^***	-0.395^***	0.370^***
1000	0.528^***	0.505^***	-0.421^***	0.349^***
1250	0.550^***	0.524^***	-0.444^***	0.314^***
1500	0.567^***	0.537^***	-0.462^***	0.296^***
1750	0.579^***	0.549^***	-0.479^***	0.276^***
2000	0.587^***	0.557^***	-0.494^***	0.257^***