Moeinaddini, Mehdi ; Université de Liège - ULiège > Département ArGEnCo > Transports et mobilité
Asadi-Shekari, Z.; Centre for Innovative Planning and Development (CiPD), Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
Sultan, Z.; Department of Urban and Regional Planning, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
Zaly Shah, M.; Department of Urban and Regional Planning, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
Language :
English
Title :
Analyzing the relationships between the number of deaths in road accidents and the work travel mode choice at the city level
Publication date :
2015
Journal title :
Safety Science
ISSN :
0925-7535
eISSN :
1879-1042
Publisher :
Elsevier
Volume :
72
Pages :
249-254
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Centre for Teaching and Learning, Universiti Teknologi Malaysia, CTL: Q.J130000.2721.00K96
Amoh-Gyimah R., Aidoo E.N. Mode of transport to work by government employees in the Kumasi metropolis, Ghana. J. Transp. Geogr. 2013, 31:35-43.
Asadi-Shekari, Z., Zaly Shah, M., 2011. Practical evaluation method for pedestrian level of service in urban streets. Paper presented at the International Transport Research Conference, Penang, Malaysia.
Asadi-Shekari Z., Moeinaddini M., Zaly Shah M. Non-motorized level of service methods: addressing challenges in research and practice. Transport Rev. 2013, 33(2):166-194.
Asadi-Shekari Z., Moeinaddini M., Zaly Shah M. Disabled pedestrian level of service method for evaluating and promoting inclusive walking facilities on urban streets. J. Transport. Eng. 2013, 139(2):181-192.
Asadi-Shekari Z., Moeinaddini M., Zaly Shah M. A pedestrian level of service method for evaluating and promoting walking facilities on campus streets. Land Use Policy 2014, 38:175-193.
Asadi-Shekari, Z., Moeinaddini, M., Zaly Shah, M., in press. A Bicycle Safety Index for Evaluating Urban Street Facilities. Traffic Injury Prevention. http://dx.doi.org/10.1080/15389588.2014.936010.
Augustus A. Determinants of road traffic accident occurrences in lagos state: some lessons for Nigeria. Int. J. Humanities Social Sci. 2012, 2(6):252-259.
Baruya, A., 1998. MASTER: Speed-Accident Relationships on Different Kinds of European Roads.: Deliverable D7. UK: Transport Research Laboratory.
Bhatta B.P., Larsen O.I. Errors in variables in multinomial choice modeling: a simulation study applied to a multinomial logit model of travel mode choice. Transport Policy 2011, 18:326-335.
Can V.V. Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model. Transp. Res. Part A 2013, 49:149-159.
Carse A., Goodman A., Mackett R.L., Panter J., Ogilvie D. The factors influencing car use in a cycle-friendly city: the case of Cambridge. J. Transp. Geogr. 2013, 28:67-74.
Charbotel B., Chiron M., Martin J.L., Bergeret A. Work related road accidents in France. Eur. J. Epidemiol. 2001, 17(8):773-778.
Charbotel B., Martin J.L., Chiron M. Work-related versus non-work-related road accidents, developments in the last decade in France. Accid. Anal. Prev. 2010, 42:604-611.
Christoforou Z., Cohen S., Karlaftis M.G. Vehicle occupant injury severity on highways: an empirical investigation. Accid. Anal. Prev. 2010, 42:1606-1620.
Clark D.E., Cushing B.M. Rural and urban traffic fatalities, vehicle-miles and population density. Accid. Anal. Prev. 2004, 36(6):967-972.
Commins N., Nolan A. The determinants of mode of transport to work in the Greater Dublin Area. Transp. Policy 2011, 18:259-268.
Deka D. An explanation of the relationship between adults' work trip mode and children's school trip mode through the Heckman approach. J. Transp. Geogr. 2013, 31:54-63.
European Commission., 2013. Road Safety Vademecum Road Safety Trends, Statistics and Challenges in the EU 2011-2012.
Eurostat, 2014. Retrieved 6/4/2014, from http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database.
Ewing R., Schroeer W., Greene W. School location and student travel analysis of factors affecting mode choice. Transport. Res. Rec.: J. Transport. Res. Board 2004, 1895:55-63.
Habib K.M.N. Modeling commuting mode choice jointly with work start time and work duration. Transp. Res. Part A 2012, 46:33-47.
Habib K.M.N., Sasic A. A GEV model with scale heterogeneity for investigating the role of mobility tool ownership in peak period non-work travel mode choices. J. Choice Modell. 2014, 10:46-59.
Hadayeghi, A., 2009. Use of Advanced Techniques to Estimate Zonal Level Safety Planning Models and Examine Their Temporal Transferability. (Doctor of Philosophy), University of Toronto, Ontario, Canada.
Hadayeghi A., Shalaby A., Persaud B. Macro-level accident prediction models for evaluating the safety of urban transportation systems. Transp. Res. Rec. 2003, 1840:87-95.
Hadayeghi A., Shalaby A., Pesuad B. Safety prediction models: a proactive tool for safety evaluation in urban transportation planning applications. Transp. Res. Rec. 2007, 2019:225-236.
Hadayeghi A., Shalaby A., Persaud B. Development of planning-level transportation safety models using full bayesian semiparametric additive techniques. J. Transport. Safety Security 2010, 2(1):45-68.
Kenworthy, J., Laube, F., 2000. Millennium Cities Database For Sustainable Transport: Institute for Sustainability and Technology Policy, Distributed by the International Union of Public Transport.
Kibria B.M.G. Applications of some discrete regression models for count data. Pakistan J. Stat. Oper. Res. 2006, 2(1):1-16.
Kim H., Sun D., Tsutakawa R.K. Lognormal vs. Gamma: extra variations. Biometrical J. 2002, 44(3):305-323.
Klöckner C.A., Friedrichsmeier T. A multi-level approach to travel mode choice - how person characteristics and situation specific aspects determine car use in a student sample. Transp. Res. Part F 2011, 14:261-277.
Kononov J., Bailey B., Allery B. Relationships between safety and both congestion and number of lanes on urban freeways. Transport. Res. Rec.: J. Transport. Res. Board 2008, 2083:26-39.
Litman T. Safer Than You Think! Revising the Transit Safety Narrative 2014, Victoria Transport Policy Institute.
Liu G. A behavioral model of work-trip mode choice in Shanghai. China Econ. Rev. 2007, 18:456-476.
Lord D., Mannering F. The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives. Transp. Res. Part A 2010, 44:291-305.
Lovegrove G. Road Safety planning, new tools for sustainable road safety and community development 2007, Verlag Dr. Müller, Germany.
Lovegrove G., Sayed T. Macro-level collision prediction models for evaluating neighbourhood traffic safety. Can. J. Civ. Eng. 2006, 33(5):609-621.
Lovegrove G., Sayed T. Using macro-level collision prediction models in road safety planning applications. Transport. Res. Rec.: J. Transport. Res. Board 2006, 1950:73-82.
Lovegrove G., Sayed T. Macro-level collision prediction models to enhance traditional reactive road safety improvement programs. Transport. Res. Rec.: J. Transport. Res. Board 2007, 2019:65-73.
Lovegrove G., Lim C., Sayed T. Community-based, macrolevel collision prediction model use with a regional transportation plan. J. Transport. Eng. 2010, 136(2):120-128.
Martin J.-L. Relationship between crash rate and hourly traffic flow on interurban motorways. Accid. Anal. Prev. 2002, 34:619-629.
Memon, A.Q., 2006. Road Accident Prediction Models Developed from a National Database: Poisson and Negative Binomial Regressions. Paper presented at the Transportation Research Board 85th Annual Meeting CD-ROM Washington DC, United States.
Miaou S.P., Lord D. Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus empirical Bayes. Transp. Res. Rec. 2003, 1840:31-40.
Mitra S., Washington S. On the nature of over-dispersion in motor vehicle crash prediction models. Accid. Anal. Prev. 2007, 39(3):459-468.
Mitra, R., Buliung, R.N., Roorda, M.J., 2010. The built environment and school travel mode choice in Toronto, Canada. Paper presented at the 89th Annual Meeting of the Transportation Research Board, Washington, DC (January).
Moeinaddini M., Asadi-Shekari Z., Ismail C.R., Zaly Shah M. A practical method for evaluating parking area level of service. Land Use Policy 2013, 33:1-10.
Moeinaddini M., Asadi-Shekari Z., Zaly Shah M. The relationship between urban street networks and the number of transport fatalities at the city level. Saf. Sci. 2014, 62:114-120.
Moeinaddini M., Asadi-Shekari Z., Zaly Shah M. Analysing the relationship between park-and-ride facilities and private motorised trips indicators. Arabian J. Sci. Eng. 2014, 39(5):3481-3488.
Mohan D. Work trips and safety of bicyclists. Indian J. Transport Manage. 2002, 225-232.
Muhs, C.D., 2013. Understanding Travel Modes to Non-work Destinations: Analysis of an Establishment Survey in Portland, Oregon. (Master of Science), Portland State University.
Muller S., Tscharaktschiew S., Haase K. Travel-to-school mode choice modelling and patterns of school choice in urban areas. J. Transp. Geogr. 2008, 16:342-357.
Murray, W., 2007. Worldwide Occupational Road Safety (WORS) Review Project. Retrieved 1/1/2011, from http://www.cdc.gov/niosh/contract-reports/WORS/WORS-04-10-%202007.pdf.
Naderan A., Shahi J. Aggregate crash prediction models: introducing crash generation concept. Accid. Anal. Prev. 2010, 42:339-346.
National Center for Safe Routes to School., 2012. Shifting Modes: A Comparative Analysis of Safe Routes to School Program Elements and Travel Mode Outcomes: National Center for Safe Routes to School.
Nevelsteena K., Steenberghena T., Rompaeyb A.V., Uyttersprota L. Controlling factors of the parental safety perception on children's travel mode choice. Accid. Anal. Prev. 2012, 45:39-49.
Nguyen L.X., Hanaoka S., Kawasaki T. Traffic conflict assessment for non-lane-based movements of motorcycles under congested conditions. IATSS Res. 2014, 37:137-147.
Noland R.B., Quddus M.A. Improvements in medical care and technology and reductions in traffic-related fatalities in Great Britain. Accid. Anal. Prev. 2004, 36(1):103-113.
Noland R.B., Quddus M.A. Congestion and safety: a spatial analysis of London. Transp. Res. Part A 2005, 39:737-754.
Palma A.d., Rochat D. Mode choices for trips to work in Geneva: an empirical analysis. J. Transp. Geogr. 2000, 8:43-51.
Pooley C.G., Turnbull J. Modal choice and modal change: the journey to work in Britain since 1890. J. Transp. Geogr. 2000, 8:11-24.
Quarmby D.A. Choice of travel mode for the journey to work. J. Transport Econ. Policy 1967, 273-314. (September).
Quddus M.A., Wang C., Ison S.G. Road traffic congestion and crash severity: econometric analysis using ordered response models. J. Transport. Eng. 2010, 136:424-435.
RRCGB., 2013. Reported Road Casualties in Great Britain: 2012 Annual Report: Department for Transport.
Shefer D. Congestion, air pollution, and road fatalities in urban areas. Accid. Anal. Prev. 1994, 26(4):501-509.
Shefer D., Rietveld P. Congestion and safety on highways: towards an analytical model. Urban Stud. 1997, 34(4):679-692.
Statistics Finland, 1997. Accidents at Work 1994: SVT Labour Market 1997. Helsinki.
Vega A., Reynolds-Feighan A. A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns. Transp. Res. Part A 2009, 43:401-419.
Wang C., Quddus M.A., Ison S.G. The effect of traffic and road characteristics on road safety: a review and future research direction. Saf. Sci. 2013, 57:264-275.
Washington, S., Schalwyk, I.V., Meyer, M., Dumbaugh, E., Zoll, M., 2006. Incorporating Safety into Long-Range Transportation Planning. Washington, DC, NCHRP Report 546, TRB.
Wei F., Lovegrove G. An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using negative binomial regression. Accid. Anal. Prev. 2013, 61:129-137.
Whalen K.E., Páez A., Carrasco J.A. Mode choice of university students commuting to school and the role of active travel. J. Transp. Geogr. 2013, 31:132-142.
Wier M., Weintraub J., Humphreys E.H., Seto E., Bhatia R. An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning. Accid. Anal. Prev. 2009, 41(1):137-145.
World Health Organization (WHO), 2013. Global Status Report on Road Safety. Time for Action. Geneva: World Health Organization. Department of Violence & Injury Prevention & Disability.
Xie, C., Lu, J., Parkany, E., 2003. Work travel mode choice modeling using data mining: decision trees and neural networks. Paper presented at the 82nd Transportation Research Board Annual Meeting, Washington, DC (January 12-16).
