In recent years, uses of high-resolution population distribution databases are increasing steadily for environmental, socioeconomic, public health, and disaster-related research and operations. With the development of daytime population distribution, temporal resolution of such databases has been improved. However, the lack of incorporation of transitional population, namely business and leisure travelers, leaves a significant population unaccounted for within the critical infrastructure networks, such as at transportation hubs. This paper presents two general methodologies for estimating passenger populations in airport and cruise port terminals at a high temporal resolution which can be incorporated into existing population distribution models. The methodologies are geographically scalable and are based on, and demonstrate how, two different transportation hubs with disparate temporal population dynamics can be modeled utilizing publicly available databases including novel data sources of flight activity from the Internet which are updated in near-real time. The airport population estimation model shows great potential for rapid implementation for a large collection of airports on a national scale, and the results suggest reasonable accuracy in the estimated passenger traffic. By incorporating population dynamics at high temporal resolutions into population distribution models, we hope to improve the estimates of populations exposed to or at risk to disasters, thereby improving emergency planning and response, and leading to more informed policy decisions.
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Allen T, Wald D, Earle P, Marano K, Hotovec A, Lin K, Hearne M (2009) An Atlas of ShakeMaps and population exposure catalog for earthquake loss modeling. Bull Earthquake Eng 7:701–718. doi:10.1007/s10518-009-9120-y
Bhaduri B (2008) Population distribution during the day. In: Shekhar S, Xiong H (eds) Encyclopedia of GIS. Springer, Berlin, p 1377
Bhaduri B, Bright E, Coleman P, Urban M (2007) LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics. GeoJournal 69:103–117
Bureau of Transportation Statistics (2012) US Airlines and Foreign Airlines US Passengers continue to increase from 2009. http://www.bts.gov/press_releases/2012/bts017_12/pdf/bts017_12.pdf. Accessed 17 May 2012
Cao Y, Nsakanda A, Pressman I (2003) A simulation study of the passenger check-in system at the Ottawa international airport. Paper presented to the Society for Modeling and Simulation International. Summer Computer Simulation Conference, Montreal, Quebec, Canada
Center for Disease Control (2012) Vessel sanitation program. http://www.cdc.gov/nceh/vsp/pub/Norovirus/Norovirus.htm. Accessed 15 March 2012
Dobson J, Bright E, Coleman P, Durfee R, Worley B (2000) LandScan: a global population database for estimating populations at risk. Photogr Eng Remote Sens 66(7):849–857
Eicher C, Brewer C (2001) Dasymetric mapping and areal interpolation: implementation and evaluation. Cartogr Geogr Info Sci 28:125–138
Elvidge C, Sutton P, Ghosh T, Tuttle B, Baugh K, Bhaduri B, Bright E (2009) A global poverty map derived from satellite data. Comput Geosci 35(8):1652–1660. ISSN 0098-3004. doi:10.1016/j.cageo.2009.01.009
Federal Aviation Administration (FAA) (2012) delays the ASDI feed slightly to non-airline-industry users. http://www.fly.faa.gov/ASDI/asdi.html. Accessed 15 Feb 2012
Ferguson N, Cummings D, Cauchemez S, Fraser C, Riley S, Meeyai A, Iamsirithaworn S, Burke D (2005) Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 437:209–214. doi:10.1038/nature04017
Ferguson N, Cummings D, Fraser C, Cajka J, Cooley P, Burke D (2006) Strategies for mitigating an influenza pandemic. Nature 442:448–452. doi:10.1038/nature04795
FlightAware (2012) http://www.flightaware.com. Accessed 15 Feb 2012
FlightStats (2012) http://www.flightstats.com. Accessed 15 Feb 2012
Freire S, Aubrecht C, Rodrigues A, Santos T, Tenedório J (2011a) Improving the planning of public facilities: considering the spatio-temporal distribution of population. In: Pinto NN, Tenedório JA, Santos M, de Deus R (eds) Proceedings of the 7th international conference on virtual cities and territories, Lisbon, Portugal, pp 193–196
Freire S, Aubrecht C, Wegscheider S (2011b) Spatio-Temporal population distribution and evacuation modeling for improving tsunami risk assessment in the Lisbon metropolitan area. In: Altan O et al (eds) Gi4DM 2011, Proceedings of geoinformation for disaster management, Antalya, Turkey
Galway L, Bell N, Shatari S, Hagopian A, Burnham G, Flaxman A, Weiss W, Rajaratnam J, Takaro T (2012) A two-stage cluster sampling method using gridded population data, a GIS, and Google EarthTM imagery in a population-based mortality survey in Iraq. Int J Health Geogr 11:12. doi:10.1186/1476-072X-11-12
Gerber P, Chilondaa P, Franceschinia G, Menzib H (2005) Geographical determinants and environmental implications of livestock production intensification in Asia. Bioresour Technol 96(13):1525–1528
Hall C (2011) Biosecurity, tourism and mobility: institutional arrangements for managing tourism-related biological invasions. J Policy Res Tour Leis Events 3(3):256–280
Joustra P, Van Dij N (2001) Simulation of check-in at airports. In: Peters B, Smith J, Medeiros D, Rohrer M (eds) Proceedings of the 2001 winter simulation conference. http://ieeexplore.ieee.org. Accessed 22 April 2011
Kim W, Park Y, Kim B (2004) Estimating hourly variations in passenger volume at airports using dwelling time distributions. J Air Trans Manage 10:395–400
Koo D, Maloney K, Tauxe R (1996) Epidemiology of diarrheal disease outbreaks on cruise ships. 1986 through 1993. J Am Med As 275(7):545–547. doi:10.1001/jama.1996.03530310051032
Mena-Carrasco M, Oliva E, Saide P, Spak S, de la Maza C, Osses M, Tolvett S, Campbell J, Tsao T, Molina L (2012) Estimating the health benefits from natural gas use in transport and heating in Santiago, Chile. Science of The Total Environment, Available online 15 May 2012, ISSN 0048-9697. doi: 10.1016/j.scitotenv.2012.04.037
Mennis J (2003) Generating surface models of population using Dasymetric mapping. Prof Geogr 55:31–42
Mennis J, Hultgren T (2006) Intelligent Dasymetric mapping and its application to areal interpolation. Cartogr Geogr Info Sci 33:179–194
Peacock WG, Dash N, Zhang Y (2007) Sheltering and housing recovery following disaster. Handbook Disaster Res 258–274. doi:10.1007/978-0-387-32353-4_15
Pendergraft D, Robertson C, Shrader S (2004) Simulation of an airport passenger security system. In: Ingalls R, Rossetti M, Smith J, Peters B (eds) Proceedings of the 2004 winter simulation conference. http://ieeexplore.ieee.org. Accessed Retrieved 22 April 2008
Port of Seattle (2012) http://www.portseattle.org/cruise. Accessed 15 Feb 2012
Rauch R, Kljajić M (2006) Discrete event passenger flow simulation model for an airport terminal capacity analysis. Oraganizacija 39(10):652–660
Rinaldi S, Peerenboom J, Kelly T (2001) Identifying, understanding, and analyzing critical infrastructure interdependencies. Control Syst IEEE 21:11–25. doi:10.1109/37.969131. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=969131&isnumber=20901
Robertson C, Shrader S, Pedergraft D, Johnson L, Silbert K (2002) The role of modeling demand in process re-engineering. In: Yücesan E, Chen C, Snowdon J, Chanes J (eds) Proceeding of the 2002 winter simulation conference, pp 1454–1458. http://ieeexplore.ieee.org. Accessed 22 April 2008
Sanford C, Jui J, Miller H, Jobe K (2007) Medical treatment at Louis Armstrong New Orleans International Airport after hurricane Katrina: the experience of disaster medical assistance teams WA-1 and OR-2. Travel Med Infect Dis 5(4):230–235. ISSN 1477-8939. doi:10.1016/j.tmaid.2007.03.002 (http://www.sciencedirect.com/science/article/pii/S147789390700035X)
Tatem A, Hay S (2007) Climatic similarity and biological exchange in the worldwide airline transportation network. Proc R Soc B 274(1617):1489–1496
Tatem A, Rogers D, Hay S (2006) Global transport networks and infectious disease spread. In: Hay S, Graham A, Rogers D (eds) Advances in parasitology. Academic Press 62:293–343, ISSN 0065-308X, ISBN 9780120317622. doi:10.1016/S0065-308X(05)62009-X. (http://www.sciencedirect.com/science/article/pii/S0065308X0562009X)
United States Department of Transportation, Maritime Administration (US DOT) (2012) http://www.marad.dot.gov/library_landing_page/data_and_statistics/Data_and_Statistics.htm. Accessed 15 Feb 2012
Verbraeck A, Valentin E (2002) Simulation building blocks for airport terminal modeling. In: Yücesan E, Chen C, Snowdon J, Chanes J (eds) Proceedings of the 2002 winter simulation conference, pp 1199–1206. http://ieeexplore.ieee.org. Accessed 22 April 2008
Wald D, Jaiswal K, Marano K, Earle P, Allen T (2011) Advancements in casualty modelling facilitated by the USGS prompt assessment of global earthquakes for response (PAGER) system. In: Spence R et al (eds) Human casualties in earthquakes, advances in natural and technological hazards research, 2011, Volume 29, Part 4, 221–230. doi:10.1007/978-90-481-9455-1_15
This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allows others to do so, for United States Government purposes. The authors would like to acknowledge the financial support for this research from the US Government for the development of LandScan USA model and database. Significant improvement to the manuscript was made possible by critical insights from two anonymous reviewers, and the authors sincerely thank them for their assistance. The assistance of Jessica Moehl with the development of figures and Ashton Brannon with general editing is greatly appreciated.
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Jochem, W.C., Sims, K., Bright, E.A. et al. Estimating traveler populations at airport and cruise terminals for population distribution and dynamics. Nat Hazards 68, 1325–1342 (2013). https://doi.org/10.1007/s11069-012-0441-9
- LandScan USA
- Population distribution and dynamics
- Transitional population
- Cruise port