Modeling a spatiotemporal distribution of stranded people returning home on foot in the aftermath of a large-scale earthquake

Natural Hazards

Volumn 68, Issue 3, 2013, Pages 1385-1398

  Osaragi, Toshihiro ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Decision making; Difficulty in returning home; Fire risk; Neural network model; Person trip survey; Simulation model; Spatiotemporal distribution; Travel behavior

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; METROPOLITAN AREA; NUMERICAL MODEL; RISK ASSESSMENT; SPATIAL DISTRIBUTION; TEMPORAL DISTRIBUTION; TOHOKU EARTHQUAKE 2011; TRAVEL BEHAVIOR;

HONSHU; JAPAN; KANTO; TOHOKU; TOKYO [KANTO];

EID: 84884534718     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-012-0175-8     Document Type: Article

References (16)

1. Iwata M, Kumagai Y (2002) Study on remaining and stay possibility in CBD during an urban earthquake disaster: case study in the Ginza, Tokyo. J Soc Saf Sci 4: 191-200.
2. Kumazawa I (1998) Learning and neural network. Morikita Publishing Co, Tokyo.
3. Lamb S, Walton D (2011) Travel behaviours following the 2007 Gisborne earthquake: evidence for the use of simulation in earthquake research. Int J Emerg Manag 8(1): 42-59.
4. Ministry of Education, Culture, Sports, Science and Technology Health and Labor (MEXT) (2006) Report on physical fitness and athletic ability. MEXT, Tokyo.
5. Nakabayashi I (1985) Study for figuration of damage in a metropolis during an earthquake disaster (4) estimation of difficulty to arrive home from each office. Summ Tech Pap Annu Meet Archit Inst Jpn F: 361-362.
6. Nakabayashi I (1992) Development of estimation method on obstructed homeward commuters after earthquake disaster. Compr Urban Stud 35-75.
7. Osaragi T (2009) Estimating spatio-temporal distribution of railroad users and its application to disaster prevention planning. In: Sester M et al (eds) Lecture notes in geoinformation and cartography, advances in GIScience. Springer, Berlin, pp 233-250.
8. Osaragi T, Tanaka S (2011) Simulation model of individual decision making and behavior for returning home after a devastating earthquake. In: The 12th international conference on computers in urban planning and urban management (CUPUM 2011, Lake Louise).
9. Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the Brain. Psychol Rev 65(6): 386-408.
10. Rosenblatt F (1961) Principles of neurodynamics. Spartan Press, Washington.
11. Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323(9): 533-536.
12. Tanaka S, Osaragi T (2007) Modelling of decision making on returning home after devastating-earthquakes. Proc Geogr Inf Syst As 16: 183-186.
13. The Prime Minister's Central Disaster Management Council (2008) Methodologies for simulation of return-home behaviour (10th), Paper 2, Cabinet Office, Government of Japan.
14. Tokyo Metropolis (2006) Summary on the damage assessment of earthquake directly under Tokyo (Interim report), Tokyo Metropolitan Disaster prevention Planning Committee.
15. Walton D, Lamb S (2009) An experimental investigation of post-earthquake travel behaviours: the effects of severity and initial location. Int J Emerg Manag 6(1): 14-32.
16. Walton D, Lamb S, Dravitzki V (2007) An experimental investigation of the influence of media type on individual perceptions of the severity of earthquake events. Int J Emerg Manag 4(4): 630-648.