Measures of activity-based pedestrian exposure to the risk of vehicle-pedestrian collisions: Space-time path vs. potential path tree methods

Accident Analysis and Prevention

Volumn 75, Issue , 2015, Pages 320-332

  Yao, Shenjun ^a   Loo, Becky P Y ^a   Lam, Winnie W Y ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Exposure; Potential path; Road safety; Space time analysis; Vehicle pedestrian collisions

Indexed keywords

FORESTRY; MOTOR TRANSPORTATION; REGRESSION ANALYSIS; RISK ASSESSMENT; ROADS AND STREETS; SAFETY ENGINEERING; VEHICLES;

EXPOSURE; POTENTIAL PATH; ROAD SAFETY; SPACE TIME ANALYSIS; VEHICLE-PEDESTRIAN COLLISIONS;

PEDESTRIAN SAFETY;

RESEARCH; ROADS; SAFETY;

BINOMIAL DISTRIBUTION; DECISION MAKING; DECISION TREE; HONG KONG; HUMAN; PEDESTRIAN; RISK; SAFETY; SPATIAL REGRESSION; SPATIOTEMPORAL ANALYSIS; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT; WALKING;

ACCIDENTS, TRAFFIC; BINOMIAL DISTRIBUTION; CHOICE BEHAVIOR; DECISION TREES; HONG KONG; HUMANS; MODELS, THEORETICAL; PEDESTRIANS; RISK; SAFETY; SPATIAL REGRESSION; SPATIO-TEMPORAL ANALYSIS; WALKING;

EID: 84920265082     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.12.005     Document Type: Article

References (58)

1. M.A. Abdel-Aty, and A.E. Radwan Modeling traffic accident occurrence and involvement Accid. Anal. Prev. 32 5 2000 633 642 10.1016/S0001-4575(99)94-9
2. E. Amoros, J.L. Martin, and B. Laumon Comparison of road crashes incidence and severity between some French counties Accid. Anal. Prev. 35 4 2003 537 547 10.1016/S0001-4575(02)31-3
3. D.A. Belsley, E. Kuh, and R.E. Welsch Regression Diagnostics: Identifying Influential Data and Sources of Collinerarity 2005 John Wiley & Sons New York 10.1002/0471725153
4. C. Brunsdon, S. Fotheringham, and M. Charlton Geographically weighted regression J. Roy. Stat. Soc. Part D 47 3 1998 431 443 10.1111/1467-9884.00145
5. Census and Statistics Department, 2008. 2006 Population By-census. Census and Statistics Department, Hong Kong. http://www.censtatd.gov.hk/hkstat/sub/so440 jsp, (accessed May 2014).
6. R. Cervero Mixed land-uses and commuting: evidence from the American housing survey Transport. Res. Part A 30 5 1996 361 377 10.1016/0965-8564(95)33-X
7. B. Chakravarthy, C.L. Anderson, J. Ludlow, S. Lotfipour, and F.E. Vaca The relationship of pedestrian injuries to socioeconomic characteristics in a large southern California County Traffic Inj. Prev. 11 5 2010 508 513 10.1080/15389588.2010.497546
8. A.D. Cliff, and J.K. Ord Spatial Processes: Models and Applications 1981 Pion London
9. C.D. Cottrill, and P. Thakuriah Evaluating pedestrian crashes in areas with high low-income or minority populations Accid. Anal. Prev. 42 6 2010 1718 1728 10.1016/j.aap.2010.04.012
10. W. Daamen, S.P. Hoogendoorn, and P.H.L. Bovy First-order pedestrian traffic flow theory Transport. Res. Rec. 1934 2005 43 52 10.3141/1934-05
11. D.G. Davis, and J.P. Braaksma Adjusting for luggage-laden pedestrians in airport terminals Transport. Res. Part A 22 5 1988 375 388 10.1016/0191-2607(88)90,014-3
12. S. Farber, A. Paez, R.G. Mercado, M. Roorda, and C. Morency A time-use investigation of shopping participation in three Canadian cities: is there evidence of social exclusion? Transport 38 1 2011 17 44 10.1007/s11116-010-9282-0
13. A.S. Fotheringham, M. Charlton, and C. Brunsdon Measuring spatial variations in relationships with geographically weighted regression M.M. Fischer, A. Getis, Recent Developments in Spatial Analysis: Spatial Statistics, Behavioural Modelling, and Computational Intelligence 1997 Springer Berlin
14. A.S. Fotheringham, C. Brunsdon, and M. Charlton Geographically Weighted Regression: The Analysis of Spatially Varying Relationships 2002 Wiley Chichester
15. Google Inc., 2011. Google Map with Street View. Google Inc. http://maps.google.com, (accessed September 2012).
16. Z. Guo, and B.P.Y. Loo Pedestrian environment and route choice: evidence from New York City and Hong Kong J. Transp. Geogr. 28 2013 124 136 10.1016/j.jtrangeo.2012.11.013
17. D.J. Graham, and S. Glaister Spatial variation in road pedestrian casualties: the role of urban scale, density and land-use mix Urban Stud. 40 8 2003 1591 1607 10.1080/0042098032000094441
18. D.J. Graham, and D.A. Stephens Decomposing the impact of deprivation on child pedestrian casualties in England Accid. Anal. Prev. 40 4 2008 1351 1364 10.1016/j.aap.2008.02.006
19. Greene-Roesel, R., Diogenes, M.C., Ragland, D.R., 2007. Estimating Pedestrian Accident Exposure: Protocol Report. University of California Traffic Safety Center, Berkeley. http://escholarship.org/uc/item/8j8685jt#page-2, (accessed May 2014).
20. T. Hägerstrand What about people in regional science? Pap. Reg. Sci. Assoc. 24 1 1970 6 21 10.1007/BF01936872
21. T. Hägerstrand The domain of human geograph R. Chorley, New Directions in Geography 1974 Cambridge University Press New York
22. A. Hadayeghi, A.S. Shalaby, and B.N. Persaud Development of planning level transportation safety tools using geographically weighted poisson regression Accid. Anal. Prev. 42 2 2010 676 688 10.1016/j.aap.2009.10.016
23. W.A. Harrell Factors influencing pedestrian cautiousness in crossing streets J. Soc. Psychol. 131 3 1991 367 372 10.1080/00224545.1991.9713863
24. L. Huang, S.C. Wong, M. Zhang, C.-W. Shu, and W.H.K. Lam Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm Transport. Res. Part B 43 1 2009 127 141 10.1016/j.trb.2008.06.003
25. J.G. Hunt, and J.D. Griffiths Pedestrian Crossing Criteria Research - Random Crossing Model. TRL Contract Report CR248 1991 Transportation and Road Research Laboratory Crowthorne, UK
26. B.A. Jonah, and G.R. Engel Measuring the relative risk of pedestrian accidents Accid. Anal. Prev. 15 3 1983 193 206 10.1016/0001-4575(83) 90,019-2
27. Kennedy, J.F., 2008. Estimating pedestrian volumes and crashes at urban signalized intersections. Virginia Polytechnic Institute and State University. http://scholar.lib.vt.edu/theses/available/etd-12192008-163243/unrestricted/Thesis-Kennedy-Jan72009.pdf, (accessed September 2014).
28. H.-M. Kim, and M.-P. Kwan Space-time accessibility measures: a geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration J. Geogr. Syst. 5 1 2003 71 91 10.1007/s101090300104
29. W.W.Y. Lands Department Land Utilization in Hong Kong 2000 Lands Department Hong Kong
30. W.W.Y. Lam, B.P.Y. Loo, and S. Yao Towards exposure-based time-space pedestrian crash analysis in facing the challenges of ageing societies in Asia Asian Geogr. 30 2 2013 105 125 10.1080/10225706.2012.735436
31. Lam, S. Yao, and B.P.Y. Loo Pedestrian exposure measures: a time-space framework Travel Behav. Soc. 1 1 2014 22 30 10.1016/j.tbs.2013.10.004
32. B.H.Y. Lee, P. Waddell, L. Wang, and R.M. Pendyala Reexamining the influence of work and nonwork accessibility on residential location choices with a microanalytic framework Environ. Plann. A 42 4 2010 913 930 10.1068/a4291
33. C. Lee, and M. Abdel-Aty Comprehensive analysis of vehicle-pedestrian crashes at intersections in Florida Accid. Anal. Prev. 37 4 2005 775 786 10.1016/j.aap.2005.03.019
34. Z. Li, W. Wang, P. Liu, J.M. Bigham, and D.R. Ragland Using Geographically Weighted Poisson Regression for county-level crash modeling in California Saf. Sci. 58 2013 89 97 10.1016/j.ssci.2013.04.005
35. B.P.Y. Loo Validating crash locations for quantitative spatial analysis: a GIS-based approach Accid. Anal. Prev. 38 5 2006 879 886 10.1016/j.aap.2006.02.012
36. B.P.Y. Loo, and W.W.Y. Lam Does neighbourhood count in affecting children's journeys to schools? Child. Geogr. 13 2015 89 113 10.1080/14733285.2013.828450
37. Loo, B.P.Y., Tsui, K.L., forthcoming. Contributory factors to critically wrong road-crossing judgments among older people: an integrated research study. Hong Kong J. Emerg. Me. (accepted).
38. B.P.Y. Loo, and S. Yao The impact of area deprivation on traffic casualties in Hong Kong Proceedings of the 15th HKSTS International Conference Hong Kong 2010
39. B.P.Y. Loo, and S. Yao The identification of traffic crash hot zones under the link-attribute and event-based approaches in a network-constrained environment Comput. Environ. 41 2013 249 261 10.1016/j.compenvurbsys.2013.07.001
40. D. Lord, and F. Mannering The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives Transport. Res. Part A 44 5 2010 291 305 10.1016/j.tra.2010.02.001
41. H.J. Miller Modelling accessibility using space-time prism concepts within geographical information systems Int. J. Geogr. Inform. Syst. 5 3 1991 287 301 10.1080/02693799108927856
42. H.J. Miller Activities in space and time D.A. Hensher, K.J. Button, K.E. Haynes, P.R. Stopher, Activities in Space and Time 2004 Elsevier Oxford, UK
43. H.J. Miller A measurement theory for time geography Geogr. Anal. 37 1 2005 17 45 10.1111/j. 1538-4632.2005.00575.x
44. H. Miller Place-based versus people-based geographic information science Geogr. Compass 1 3 2007 503 535 10.1111/j. 1749-8198.2007.00025.x
45. L.F. Miranda-Moreno, P. Morency, and A.E. El-Geneidy The link between built environment, pedestrian activity and pedestrian-vehicle collision occurrence at signalized intersections Accid. Anal. Prev. 43 5 2011 1624 1634 10.1016/j.aap.2011.02.005
46. D.H. Mitchell, and J.M. Smith Topological network design of pedestrian networks Transport. Res. Part B 35 2 2001 107 135 10.1016/S0191-2615(99)39-9
47. New Zealand Transport Agency. 2007. Pedestrian Planning and Design Guide. New Zealand Transport Agency, New Zealand. http://www.nzta.govt.nz/resources/pedestrian-planning-guide/, accessed in May 2014.
48. R.M. O'Brien A caution regarding rules of thumb for variane inflation factors Qual. Quant. 41 5 2007 673 690 10.1007/s11135-006-9018-6
49. A. Pirdavani, T. Bellemans, T. Brijs, and G. Wets Application of geographically weighted regression technique in spatial analysis of fatal and injury crashes J. Transp. Eng. 140 8 2014 4014032 10.1061/(ASCE)TE.1943-5436.0000680
50. S.S. Pulugurtha, and V.R. Sambhara Pedestrian crash estimation models for signalized intersections Accid. Anal. Prev. 43 1 2011 439 446 10.1016/j.aap.2010.09.014
51. X. Qin, and J.N. Ivan Estimating pedestrian exposure prediction model in rural areas Transport. Res. Rec. 1773 2001 89 96 10.3141/1773-11
52. M. Raubal, S. Winter, S. Teβmann, and C. Gaisbauer Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks Photogramm. Remote Sens. 62 5 2007 366 381 10.1109/MDM.2006.150
53. S.L. Shaw What about time in transportation geography? J. Transp. Geogr. 14 3 2006 237 240 10.1016/j.jtrangeo.2006.02.009
54. Transport Department, 2014. Road Traffic Accident Statistics. Transport Department, Hong Kong. http://www.td.gov.hk/en/road-safety/road-traffic-accident-statistics/index.html, (accessed October 2014).
55. F. Van den Bossche, G. Wets, and T. Brijs Role of exposure in analysis of road accidents: a Belgian case study Transport. Res. Rec. 1908 2005 96 103 10.3141/1908-12
56. M. Wier, J. Weintraub, E.H. Humphreys, E. Seto, and R. Bhatia An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning Accid. Anal. Prev. 41 1 2009 137 145 10.1016/j.aap.2008.10.001
57. World Health Organization, 2013. Making Walking Safe - A Brief Overview of Pedestrian Safety Around the World. www.who.int/violence-injury-prevention/publications/road-traffic, (accessed May 2014).
58. Wundersitz, L.N., Hutchinson, T.P., 2008. Identifying and Improving Exposure Measures. Centre for Automotive Safety Research, The University of Adelaide, Australia. http://digital.library.adelaide.edu.au/dspace/bitstream/2440/50537/1/CASR053.pdf, (accessed May 2014).