Skip to main content

Population Distribution During the Day

  • Reference work entry
  • First Online:
Encyclopedia of GIS
  • 247 Accesses

Footnote 1

Synonyms

Daytime population; Mobile population; Nonresidential population

Definition

Population distribution during the day can be defined as the distribution of population in an area during the daytime hours. However, a precise definition of daytime hours is challenging, given the geographic variability in the length of a day or daylight hours. The US Census Bureau used “normal business hours” as the span of time to describe daytime population (US Census Bureau 2000). Given that censuses typically estimate residential population, it represents a nighttime population distribution. In that respect, the daytime population in an area may be broadly defined as distribution of population at times other than when they are expected to be at their residences at night which extends the duration from business hours to include the evening hours as well.

Historical Background

Population data has served as a fundamental backbone for planning sustainable development. There is evidence...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The submitted manuscript has been authored by a contractor of the U.S. Government under contract DE-AC05-96OR22464. Accordingly, the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.

References

  • Bhaduri B, Bright E, Coleman P, Dobson J (2002) LandScan: locating people is what matters. Geoinformatics 5:34–37

    Google Scholar 

  • Cai Q, Rushton G, Bhaduri B, Bright E, Coleman P (2006) Estimating small-area populations by age and sex using spatial interpolation and statistical inference methods. Trans GIS 10:577–598

    Article  Google Scholar 

  • Center for International Earth Science Information Network (2007) Gridded population of the world (GPWv3). Columbia University, New York. http://sedac.ciesin.org/gpw/. Accessed 17 Sept 2007

  • Cohen J, Small C (1998) Hypsographic demography: the distribution of human population by altitude. Proc Natl Acad Sci 95:14009–14014

    Article  Google Scholar 

  • Deichmann U, Balk D, Yetman G (2001) Transforming population data for interdisciplinary usages: from census to grid. http://sedac.ciesin.columbia.edu/gpw-v2/GPWdocumentation.pdf. Accessed 17 Sept 2007

  • Dobson J, Bright E, Coleman P, Durfee R, Worley B (2000) LandScan: a global population database for estimating populations at risk. Photogramm Eng Remote Sens 66:849–857

    Google Scholar 

  • Goodchild M, Anselin L, Deichmann U (1993) A framework for the aerial interpolation of socioeconomic data. Environ Plan A 25:383–397

    Article  Google Scholar 

  • Goodchild M, Lam N (1980) Aerial interpolation: a variant of the traditional spatial problem. Geo-Processing 1:297–312

    Google Scholar 

  • Japanese Statistics Bureau, Ministry of Internal Affairs and Communications (2000) Population census, daytime population. http://www.stat.go.jp/english/data/kokusei/2000/jutsu1/00/01.htm. Accessed 17 Sept 2007

  • Langford M, Unwin D (1994) Generating and mapping population density surfaces within a geographical information system. Cartogr J 31:21–26

    Article  Google Scholar 

  • McPherson T, Brown M (2004) Estimating daytime and nighttime population distributions in U.S. cities for emergency response activities. In: Proceedings of the symposium on planning, nowcasting, and forecasting in the Urban Zone, 84th AMS annual meeting, Seattle, 11–15 Jan 2004

    Google Scholar 

  • Mennis J (2003) Generating surface models of population using dasymetric mapping. Prof Geogr 55:31–42

    Google Scholar 

  • Oak Ridge National Laboratory (2007) LandScan global population project. Oak Ridge National Laboratory, Tennessee. http://www.ornl.gov/sci/landscan/. Accessed 17 Sept 2007

  • Quinn J (1950) The daytime population of the central business district of Chicago. Review by Breese, G.W. Am Sociol Rev 15:827–828

    Article  Google Scholar 

  • Tobler W (1979) Smooth pycnophylactic interpolation for geographical regions. J Am Stat Assoc 74:519–530

    Article  MathSciNet  Google Scholar 

  • US Census Bureau (2000) Census 2000 PHC-T-40. Estimated daytime population and employment-residence ratios: technical notes on the estimated daytime population. http://www.census.gov/population/www/socdemo/daytime/daytimepoptechnotes.html. Accessed 17 Sept 2007

  • US Census Bureau (2000) US census Bureau’s fact finder for the nation: history and organization. http://www.census.gov/prod/2000pubs/cff-4.pdf. Accessed 17 Sept 2007

  • Wright J (1936) A method of mapping densities of population: with Cape Cod as an example. Geogr Rev 26:103–110

    Article  Google Scholar 

Recommended Reading

  • Dobson J, Bright E, Coleman P, Bhaduri B (2003) LandScan2000: a new global population geography, remotely-sensed cities. Taylor and Francis, London

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this entry

Cite this entry

Bhaduri, B. (2017). Population Distribution During the Day. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1005

Download citation

Publish with us

Policies and ethics