Journal of Geographical Sciences ›› 2015, Vol. 25 ›› Issue (6): 756-768.doi: 10.1007/s11442-015-1200-0
• Orginal Article • Previous Articles
Wei QI1,2(), Shenghe LIU1,*(
), Xiaolu GAO1, Meifeng ZHAO1,2
Received:
2014-05-26
Accepted:
2014-06-27
Online:
2015-06-15
Published:
2015-06-15
Contact:
Shenghe LIU
E-mail:cc7v@163.com;liush@igsnrr.ac.cn
About author:
Author: Qi Wei (1989-), PhD, specialized in urban geography. E-mail:
Supported by:
Wei QI, Shenghe LIU, Xiaolu GAO, Meifeng ZHAO. Modeling the spatial distribution of urban population during the daytime and at night based on land use: A case study in Beijing, China[J].Journal of Geographical Sciences, 2015, 25(6): 756-768.
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Table 1
The relational model of ‘population - time (daytime and nighttime) - land use’"
Types of land use (I) | Time | |
---|---|---|
Daytime (D) | Night (N) | |
I1 Farmland | PD1 Working population of primary industry | PN1 Nobody |
I2 Industry & Mining & Warehouse Land | PD2 Working population of secondary industry | PN2 Nobody |
I3 Commerce & Public Management & Service Land | PD3 Working population of tertiary industry (Those staff in PD4, PD5, PD6, PD7, PD11, PD12, PD13 are not involved) | PN3 Nobody |
I4 Kindergarten Land | PD4 Students and staff in kindergarten | PN4 Nobody |
I5 Primary School Land | PD5 Students and staff in primary school | PN5 Nobody |
I6 Vocational School & Middle School Land | PD6 Students and staff in vocational school & middle school | PN6 Nobody |
I7 Teaching & Research Land of Colleges & Universities | PD7 Students and staff in colleges & universities | PN7 Nobody |
I8 Urban & Township Residential Land | PD8 The elderly, infants, the unemployed in urban areas & townships | PN8 Urban resident population (Students in colleges & universities and inpatients are not involved) |
I9 Rural Homestead | PD9 The elderly, infants, the unemployed in rural areas | PN9 Rural resident population |
I10 Accommodations Land of Colleges & Universities | PD10 Nobody | PN10 Students in universities & colleges |
I11 Hotel Land | PD11 Staff in hotels | PN11 Hotel guests |
I12 Hospital Land | PD12 Staff, outpatients and inpatients | PN12 Inpatients |
I13 Scenic Land | PD13 Staff and visitors | PN13 Nobody |
I14 Others | PD14 Nobody | PN14 Nobody |
Table 3
Some parameters of the relational model of ‘population - time (daytime and nighttime) -land use’ in Haidian"
Types of land use | Population during the daytime | Population at night | The total area weights |
---|---|---|---|
I1 Farmland | 2290 | 0 | 58871726.5 |
I2 Industry & Mining & Warehouse Land | 164059 | 0 | 6773584.0 |
I3 Commerce & Public Management & Service Land | 1747151 | 0 | 32029209.4 |
I4 Kindergarten Land | 54441 | 0 | 203259.7 |
I5 Primary School Land | 128724 | 0 | 632876.7 |
I6 Vocational School & Middle School Land | 126868 | 0 | 1494705.7 |
I7 Teaching & Research Land of Colleges & Universities | 350997 | 0 | 10411515.0 |
I8 Urban & Township Residential Land | 459861 | 2936960 | 71400902.7 |
I9 Rural Homestead | 10335 | 72107 | 288723.6 |
I10 Accommodations Land of Colleges & Universities | 0 | 263256 | 2806573.0 |
I11 Hotel Land | 48836 | 23444 | 2251014.3 |
I12 Hospital Land | 43618 | 8347 | 1122445.8 |
I13 Scenic Land | 102226 | 0 | 52263207.8 |
Total | 3239406 | 3304114 |
Figure 3
The histogram of population density during the daytime and at night Note: 1. Yongfeng high-tech industrial base; 2. Wenquan Science &Techonology Park; 3. Shangdi Information Industry Park; 4. Zhongguancun; 5. University District; 6. Shijicheng; 7. Ganjiakou; 8. Wukesong; 9. Gongzhufen"
Figure 6
The spatial coupling map of population based on difference value during the daytime and at night in Haidian Note: 1. Yongfeng high-tech industrial base; 2. Wenquan Science &Techonology Park; 3. Shangdi Information Industry Park; 4. Zhongguancun; 5. University District; 6. Shijicheng; 7. Ganjiakou; 8. Wukesong; 9. Gongzhufen"
21 | Sleeter R, Wood N, 2006. Estimating daytime and nighttime population density for coastal communities in Oregon. In: Proceedings of the Annual Conference of the Urban and Regional Information Systems Association, Vancouver, Canada, 26-29 September, 2006. |
22 | Wirth Louis, 1964. Urbanism as a Way of Life. Chicago: Chicago University Press. |
23 | Yang Hai, Tian Yongzhong, Wang Bing, 2011. Simulation of urban population distribution during daytime based on the high resolution of RS and GIS.Journal of Anhui Agricultural Sciences, 39(2): 1129-1132. (in Chinese) |
24 | Ye Yu, Liu Gaohuan, Feng Xianfeng, 2006. Presentation of spatial distribution of population and its application.Journal of Geo-Information Science, 8(2): 59-65. (in Chinese) |
25 | Zhang Shanyu, 1999. Introduction to Population Geography. Shanghai: East China Normal University Press. (in Chinese) |
26 | Zhang Zimin, Zhou Ying, Li Qiet al., 2010. An estimation method of dynamic population within an urban local area.Journal of Geo-Information Science, 12(4): 503-509. (in Chinese) |
27 | Zhao Yeqin, 2010. International studies on “daytime population” and its implication for China.South China Population, 25(6): 24-31. (in Chinese) |
1 | Akkerman A, 1995. The urban household pattern of daytime population change.The Annals of Regional Science, 29(1): 1-16. |
2 | Bresse G W, 1949. The Daytime Population of the Central Business District of Chicago. Chicago: Chicago University Press. |
3 | Chen Kuanzheng, Xie Yusheng, 1981. The research on day-night population distribution and convection in Taipei Area. The Taipei City Government Research and Development Appraisal Commission. (in Chinese) |
4 | Collins A, Greaves S, 2007. Daytime population tracking for planning and pollution exposure assessment.Road & Transport Research Journal, 16(1): 55-68. |
5 | Ding Chengri, 2004. Is China’s urban population density high?City Planning Review, 28(8): 43-48. (in Chinese) |
6 | Elvidge C D, Imhoff M L, Baugh K Eet al., 2001. Night-time lights of the world: 1994-1995.Isprs J. Photogramm., 56(2): 81-99. |
7 | Floating Population Service Department of National Population and Family Planning Commission, 2011. The Report of China’s 2011 Floating Population Development. Beijing: China Population Press. (in Chinese) |
8 | Foley D L, 1952. The daily movement of population into central business districts.American Sociological Review, 17(5): 538-543. |
9 | Foley D L, 1953. Urban daytime population: A field for demographic-ecological analysis.Social Forces, 32(4): 323. |
10 | Gu Chaolin, 2012. Introduction to Human Geography. Beijing: Science Press. (in Chinese) |
11 | Guo Xiuyun, 2008. Urban public security and risk governance: An analysis of population migration and social inclusion.Urban Problem, (11): 6-11. (in Chinese) |
12 | Huang Rongqing, 2003. Beijing’s regional structure.Chinese Journal of Population Science, (5): 49-55. (in Chinese) |
13 | Kang Wenqin, 2006. On the character of downtown daytime population and its impacts on regional develop: A case study in Luwan District, Shanghai. Shanghai: East China Normal University. (in Chinese) |
14 | Kavanaugh Paul, 1990. A method for estimating daytime population by small area geography. San Diego Association of Governments, 1990 URISA Proceeding. |
15 | Kuang Wenhui, Du Guoming, 2011. Analyzing urban population spatial distribution in Beijing proper.Journal of Geo-Information Science, 13(4): 506-512. (in Chinese) |
16 | Liu Shenghe, Hu Zhang, Deng Yuet al., 2011. The regional types of China’s floating population: Identification methods and spatial patterns.Journal of Geographical Sciences, 21(1): 35-48. |
17 | Mao Xia, Xu Rongrong, Li Xinshuoet al., 2010. Fine grid dynamic features of population distribution in Shenzhen.Acta Geographica Sinica, 65(4): 443-453. (in Chinese) |
18 | McPherson T N, Brown M J, 2004. Estimating daytime and nighttime population distributions in US cities for emergency response activities. The American Meteorological Society. |
19 | Meng Bin, Wang Jinfeng, 2005. A review on the methodology of scaling with geo-data.Acta Geographica Sinica, 60(2): 277-288. (in Chinese) |
20 | Roddis S M, Richardson A J, 1998. Construction of daytime activity profiles from household travel survey data. Transportation Research Record 1625, TRB, National Research Council, Washington DC: 102-108. |
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