A critical assessment of pedestrian behaviour models

Transportation Research Part F: Traffic Psychology and Behaviour

Volumn 12, Issue 3, 2009, Pages 242-255

  Papadimitriou, Eleonora ^a   Yannis, George ^a   Golias, John ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Crossing behaviour; Modelling; Pedestrians; Route choice

Indexed keywords

MODELS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BEHAVIOUR MODELS; CRITICAL ASSESSMENT; DISAGGREGATION; INTEGRATED APPROACH; MODELLING TECHNIQUES; PEDESTRIANS; ROUTE CHOICE; ROUTE CHOICE MODEL;

BEHAVIORAL RESEARCH;

EID: 64749094690     PISSN: 13698478     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trf.2008.12.004     Document Type: Article

References (73)

1. Airault, V., Espié, S., Lattaud, C., & Auberlet, J. M. (2004). Interaction between pedestrians and their environment when road-crossing: A behavioural approach. In E. Fendel, & M. Rumor (Eds.), Proceedings of the 24th urban data management symposium, Italy, 2004.
2. Antonini G., Bierlaire M., and Weber M. Discrete choice models of pedestrian walking behavior. Transportation Research Part B 40 (2006) 667-687
3. Baltes, M., & Chu, X. (2002). Pedestrian level of service for mid-block street crossings. In Proceedings of the TRB 81st annual meeting, transportation research board, Washington, 2002.
4. Batty, M., & Jiang, B. (1999). Multi-agent simulation: New approaches to exploring space-time dynamics within GIS. Centre for Advanced Spatial Analysis, Working Paper Series, Paper 10, University College London, 1999.
5. Ben-Akiva M., and Lerman S.R. Discrete Choice Analysis: Theory and Applications to Travel Demand (1985), The MIT Press, Cambridge, Massachusetts, London, England
6. Bernhoft I.M., and Carstensen G. Preferences and behaviour of pedestrians and cyclists by age and gender. Transportation Research Part F 11 (2008) 83-95
7. Bierlaire M., Antonini G., and Weber M. Behavioral dynamics for pedestrians. In: Axhausen K. (Ed). Moving through nets: The physical and social dimensions of travel (2003), Elsevier
8. Blue V.J., and Adler J.L. Cellular automata micro-simulation for modeling bi-directional pedestrian walkways. Transportation Research Part B 35 (2001) 293-312
9. Borgers A., and Timmermans H.J.P. City centre entry points, store location patterns and pedestrian route choice behaviour: A microlevel simulation model. Socio-Economic Planning Science 20 I (1986) 25-31
10. Burstedde C., Klauck K., Schadschneider A., and Zittartz J. Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Physica A 295 (2001) 507-525
11. Carsten O.M.J., Sherborne D.J., and Rothengatter J.A. Intelligent traffic signals for pedestrians: Evaluation of trials in three countries. Transportation Research Part C 6 (1998) 213-229
12. Chu, X., Gittenplan, M., Baltes, M. (2002). Why People Cross Where They Do - The Role of the Street Environment. In Proceedings of the TRB 81st annual meeting, transportation research board, Washington, 2002.
13. Clark, L. K., Hummer, J. E., & Dutt, N. (1996). Field evaluation of fluorescent strong yellow-green pedestrian warning signs. Transportation Research Record No. 1538.
14. Crider, L., Burden, J., & Han, F. (2001). Multi-modal level of service - 'point' level of service project - final report. FDOT - Florida Department of Transportation, 2001.
15. Crooks A., Castle C., and Batty M. Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems 32 6 (2008) 417-430
16. Daamen, W., Hoogendoorn, S. P., & Bovy, P. H. L. (2005). First-order pedestrian traffic flow theory. In Proceedings of the 84th TRB annual meeting, transportation research board, Washington.
17. Das S., Manski C.F., and Manuszak M. Walk or wait? an empirical analysis of street crossing decisions. Journal of Applied Econometrics 20 4 (2005) 445-577
18. Diaz E.M. Theory of planned behavior and pedestrians' intentions to violate traffic regulations. Transportation Research Part F 5 (2002) 169-175
19. Dijkstra J., and Timmermans H. Towards a multi-agent model for visualizing simulated user behavior to support the assessment of design performance. Automation in Construction (2002) 135-145
20. Dixon M.A., Alvarez J.A., Rodriguez J., and Jacko J.A. The effect of speed reducing peripherals on motorists' behavior at pedestrian crossings. Computers and Industrial Engineering 33 1-2 (1997) 205-208
21. Doniec A., Mandiau R., Piechowiak S., and Espié S. A behavioural multi-agent model for road traffic simulation. Engineering Applications of Artificial Intelligence 21 (2008) 1443-1454
22. Evans D., and Norman P. Understanding pedestrians' road crossing decisions: An application of the theory of planned behaviour. Health Education Research 13 4 (1998) 481-489
23. Fitzpatrick, K., Ullman, B., & Trout, N. (2004). On-street pedestrian surveys of pedestrian crossing treatments. In Proceedings of the TRB 2004 annual meeting, Washington DC.
24. Gaud N., Galland S., Gechter F., Hilaire V., and Koukam A. Holonic multilevel simulation of complex systems: Application to real-time pedestrians simulation in virtual urban environment. Simulation Modelling Practice and Theory 16 (2008) 1659-1676
25. Gipps P.G., and Marksjo B. A micro-simulation model for pedestrian flows. Mathematics and Computers in Simulation 27 (1985) 95-105
26. Hakkert, S., Gitelman, V., & Ben-Shabat, E. (2002). An evaluation of crosswalk warning systems: Effects on pedestrian and vehicle behaviour. Transportation Research Part F5.
27. Hamed M.M. Analysis of pedestrians' behaviour at pedestrian crossings. Safety Science 38 (2001) 63-82
28. Hatfield J., and Murphy S. The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections. Accident Analysis and Prevention 39 (2007) 197-205
29. Himanen V., and Kulmala R. An application of logit models in analysing the behaviour of pedestrians and car drivers on pedestrian crossings. Accident Analysis and Prevention 20 3 (1988) 187-197
30. Hine J. Pedestrian travel experiences: Assessing the impact of traffic on behaviour and perceptions of safety using an in-depth interview technique. Journal of Transport Geography 4 3 (1996) 179-199
31. Hine J., and Russel J. Traffic barriers and pedestrian crossing behaviour. Journal of Transport Geography 1 4 (1993) 230-239
32. Holland C., and Hill R. The effect of age, gender and driver status on pedestrians' intentions to cross the road in risky situations. Accident Analysis and Prevention 39 (2007) 224-237
33. Hoogendoorn, S. P. (2004). Pedestrian flow modeling by adaptive control. In Proceedings of the TRB 2004 annual meeting, Washington DC.
34. Hoogendoorn S.P., and Bovy P.H.L. Pedestrian route-choice and activity scheduling theory and models. Transportation Research Part B 38 (2004) 169-190
35. Huang L., Wong S.C., Zhang M., Shu C.-W., and Lam W.H.K. Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm. Transportation Research Part B 43 (2009) 127-141
36. Hughes R.L. A continuum theory for the flow of pedestrians. Transportation Research Part B 36 (2002) 507-535
37. Hui, X., & Hongwei, G. (2008). A disaggregate model for pedestrian crossing facilities selection. In Proceedings of the AATT2008 international conference on application of advanced technologies in transportation, May 27-31, Athens, Greece.
38. Hunt, J., & Griffiths, J. (1991). Pedestrian crossing criteria research: Random crossing model. TRL Contract Report CR248, Transportation and Road Research Laboratory, Crowthorne, UK, 1991.
39. Ishaque M.M., and Noland R.B. Behavioural issues in pedestrian speed choice and street crossing behaviour: A review. Transport Reviews (2007) 1-25
40. Keegan, O., & O'Mahony, M. (2003). Modifying pedestrian behaviour. Transportation Research Part A 37.
41. Kitazawa, K., & Batty, M. (2004). Pedestrian behaviour modelling: An application to retail movements using a genetic algorithm. In Seventh international conference on design and decision support systems in architecture and urban planning.
42. Koenig D.J., and Wu Z. The impact of a media campaign in the reduction of risk-taking behavior on the part of drivers. Accident Analysis and Prevention 26 5 (1994) 625-633
43. Kukla, R., Kerridge, J., Willis, A., & Hine, J. (2001). PEDFLOW: Development of an autonomous agent model of pedestrian flow. Transportation Research Record No. 1774, 11-17.
44. Lassarre S., Papadimitriou E., Yannis G., and Golias J. Measuring accident risk exposure for pedestrians in different micro-environments. Accident Analysis and Prevention 39 6 (2007) 1226-1238
45. Lassarre, S., Banos, A., Bodin, F., Bonnet, E., Papadimitriou, E., & Zeitouni, K. (2005). The Lille case study. Deliverable 24 of the HEARTS - "Health Effects and Risks of Transport Systems" Project, INRETS.
46. Lee J.Y.S., and Lam W.H.K. Simulating pedestrian movements at signalized crosswalks in Hong Kong. Transportation Research Part A 42 (2008) 1314-1325
47. Li Y., and Tsukaguchi H. Relationships between network topology and pedestrian route choice behaviour. Journal of the Eastern Asia Society for Transportation Studies 6 (2005) 241-248
48. Liu, R., Cruz da Silva, J. P., & da Maia Seco, A. J. (2000). A bi-modal micro-simulation tool for the assessment of pedestrian delays and traffic management. In Proceedings of the nineth international association of travel behaviour research conference, Gold Coast, Australia, 2000.
49. Lǿvås G.G. Modeling and simulation of pedestrian traffic flow. Transportation Research Part B 28 6 (1994) 429-443
50. Mitchell D.H., and MacGregor Smith J. Topological network design of pedestrian networks. Transportation Research Part B 35 (2001) 107-135
51. Muraleetharan, T., Takeo, A., Toru, H., Kagaya, S., & Kawamura, S. (2004). Method to determine overall level-of-service of pedestrians on sidewalks and crosswalks based on total utility value. In Proceedings of the 83rd TRB annual meeting, transportation research board, Washington, 2004.
52. Nasar J.L. Prompting drivers to stop for crossing pedestrians. Transportation Research Part F 6 (2003) 175-182
53. Nee, J., & Hallenberg, M. (2003). A motorist and pedestrian behavioral analysis relating to pedestrian safety improvements. Final Report, Research Project T1803, Task 16, Washington State Transportation Commission, USDOT - Federal Highway Administration, 2003.
54. Osaragi, T. (2004). Modeling of pedestrian behavior and its applications to spatial evaluation. In Proceedings of the third international joint conference on autonomous agents and multi-agent systems, 2004.
55. Oxley J., Fildes B., Ihsen E., Charlton J., and Days R. Differences in traffic judgements between young and old adult pedestrians. Accident Analysis and Prevention 29 6 (1997) 839-847
56. Oxley J., Fildes B., Ihsen E., Charlton J., and Days R. Crossing roads safely: An experimental study of age differences in gap selection by pedestrians. Accident Analysis and Prevention 37 (2005) 962-971
57. Phillips, R., Karachepone, J., & Landis, B. (2001). Multi-modal quality of service project - Final Report. FDOT - Florida Department of Transportation, FDOT Contract #BC205, 2001.
58. Robin T., Antonini G., Bierlaire M., and Cruz J. Specification, estimation and validation of a pedestrian walking behavior model. Transportation Research Part B 43 (2009) 36-56
59. Rosenbloom T., Ben-Eliyahu A., and Nemrodov D. Children's crossing behavior with an accompanying adult. Safety Science 46 (2008) 1248-1254
60. Sarkar, S. (1995). Evaluation of safety for pedestrians at macro- and microlevels in urban areas. Transportation Research Record No. 1502.
61. Simpson G., Johnston L., and Richardson M. An investigation of road crossing in a virtual environment. Accident Analysis and Prevention 35 (2003) 787-796
62. Sun, D., Ukkusuri, S. V. S. K., Benekohal, R. F., & Waller, S. T. (2003). Modeling of motorist-pedestrian interaction at uncontrolled mid-block crosswalks. In Proceedings of the 82nd TRB annual meeting, transportation research board, Washington, 2003.
63. Te Velde A.F., van der Kamp J., Barela J.A., and Savelsbergha G.J.P. Visual timing and adaptive behavior in a road-crossing simulation study. Accident Analysis and Prevention 37 (2005) 399-406
64. Teknomo K. Application of microscopic pedestrian simulation model. Transportation Research Part F 9 (2006) 15-27
65. Timmermans H., Van Der Hagen X., and Borgers A. Transportation systems, retail environments and pedestrian trip chaining behaviour: Modelling issues and applications. Transportation Research Part B 26B 1 (1992) 45-59
66. Van Houten R., and Malenfant L. The influence of signs prompting motorists to yield before marked crosswalks on motor vehicle-pedestrian conflicts at crosswalks with flashing amber. Accident Analysis and Prevention 24 3 (1992) 217-225
67. Varhelyi A. Drivers' speed behaviour at a zebra crossing: A case study. Accident Analysis and Prevention 30 6 (1998) 731-743
68. Wakim, C. F., Capperon, S., & Oksman, J. (2004). A Markovian model of pedestrian behavior. In Proceedings of the 2004 IEEE lntenational conference on systems, man and cybernetics, pp. 4028-4033.
69. Weifeng F., Lizhong Y., and Weicheng F. Simulation of bi-direction pedestrian movement using a cellular automata model. Physica A 321 (2003) 633-640
70. Winters, P., Cleland, F., Mierzewski, E., & Tucker, L. (2001). Assessing level of service equally across modes. White Paper, FDOT - Florida Department of Transportation, 2001.
71. Xiaoping Z., Tingkuan Z., and Mengting L. Modeling crowd evacuation of a building based on seven methodological approaches. Building and Environment 44 (2009) 437-445
72. Yagil D. Beliefs, motives and situational factors related to pedestrians self-reported behavior at signal-controlled crossings. Transportation Research Part F 3 (2000) 1-13
73. Yang J., Deng W., Wang J., Li Q., and Wang Z. Modeling pedestrians road crossing behavior in traffic system micro-simulation in China. Transportation Research Part A 40 (2006) 280-290