Analyzing pedestrian behavior when crossing urban roads by combining RP and SP data
Tài liệu tham khảo
Anciaes, 2018, Estimating preferences for different types of pedestrian crossing facilities, Transportation Research Part F: Traffic Psychology and Behaviour, 52, 222, 10.1016/j.trf.2017.11.025
Arellana, 2021, Walk this way: Pedestrian accessibility and equity in Barranquilla and Soledad, Colombia. Research in Transportation Economics, 86, 2020
Arellana, 2012, Development of Surveys for Study of Departure Time Choice: Two-Stage Approach to Efficient Design, Transportation Research Record, 2303, 9, 10.3141/2303-02
Arellana, 2020, On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour, Journal of Choice Modelling, 37, 1
Arellana, 2020, Urban walkability considering pedestrians' perceptions of the built environment: A 10-year review and a case study in a medium-sized city in Latin America, Transport Reviews, 40, 183, 10.1080/01441647.2019.1703842
Bendak, 2021, Factors affecting pedestrian behaviors at signalized crosswalks: An empirical study, Journal of Safety Research, 10.1016/j.jsr.2020.12.019
Bertulis, 2014, Driver Approach Speed and Its Impact on Driver Yielding to Pedestrian Behavior at Unsignalized Crosswalks, Transportation Research Record, 2464, 46, 10.3141/2464-06
Cantillo-García, V., Guzman, L. A., & Arellana, J. (2019). Socioeconomic strata as proxy variable for household income in transportation research. Evaluation for Bogotá, Medellín, Cali and Barranquilla. DYNA (Colombia), 86(211), 258–267. doi: 10.15446/dyna.v86n211.81821.
Cantillo, 2015, Modelling pedestrian crossing behaviour in urban roads: A latent variable approach, Transportation Research Part F: Traffic Psychology and Behaviour, 32, 56, 10.1016/j.trf.2015.04.008
Cantillo, 2020, An exploratory analysis of factors associated with traffic crashes severity in Cartagena, Colombia. Accident Analysis and Prevention, 146
Cantillo, V., Ortúzar, JdD, J., & Williams, H. C. W. L. (2007). Modeling discrete choices in the presence of inertia and serial correlation. Transportation Science, 41(2), 195–205. doi: 10.1287/trsc.1060.0178.
Dada, 2019, Modelling pedestrian crossing choice on Cape Town's freeways: Caught between a rock and a hard place?, Transportation Research Part F: Traffic Psychology and Behaviour, 60, 245, 10.1016/j.trf.2018.10.005
DANE. (2018). Resultados censo nacional de población y viviendas. Retrieved from https://www.dane.gov.co/files/censo2018/informacion-tecnica/presentaciones-territorio/180719-CNPV-presentacion-Atlantico.pdf.
Demiroz, 2015, Illegal road crossing behavior of pedestrians at overpass locations: Factors affecting gap acceptance, crossing times and overpass use, Accident Analysis and Prevention, 80, 220, 10.1016/j.aap.2015.04.018
Guzman, L. A., Arellana, J., & Camargo, J. P. (2021). A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit. Transportation Research Part A: Policy and Practice, 151(November 2020), 140–153. doi: 10.1016/j.tra.2021.07.009.
Han, 2021, Identifying Priority Crosswalk Locations in Urban Road Networks, Journal of Urban Planning and Development, 147, 04021014, 10.1061/(ASCE)UP.1943-5444.0000679
Hasan, 2018, The perception of Malaysian pedestrians toward the use of footbridges, Traffic Injury Prevention, 19, 292, 10.1080/15389588.2017.1373768
Hasan, 2020, An intercept study of footbridge users and non-users in Malaysia, Transportation Research Part F: Traffic Psychology and Behaviour, 73, 66, 10.1016/j.trf.2020.05.011
Hensher, D. A., Rose, J. M., Ortúzar, J. de D., & Rizzi, L. I. (2011). Estimating the Value of Risk Reduction for Pedestrians in the Road Environment: An Exploratory Analysis. Journal of Choice Modelling, 4(2), 70–94. doi: 10.1016/S1755-5345(13)70058-7.
Hensher, 1998, Combining sources of preference data, Journal of Econometrics, 89, 197, 10.1016/S0304-4076(98)00061-X
Holland, 2007, The effect of age, gender and driver status on pedestrians' intentions to cross the road in risky situations, Accident Analysis & Prevention, 39, 224, 10.1016/j.aap.2006.07.003
Instituto Nacional de Medicina Legal y Ciencias Forenses. (2020). Forensis. Retrieved from https://www.medicinalegal.gov.co/cifras-estadisticas/forensis.
Jha, 2017, Analysis of pedestrian movement on Delhi roads by using naturalistic observation techniques, Transportation Research Record, 2634, 95, 10.3141/2634-14
Lam, 2002, Transit path-choice models that use revealed preference and stated preference data, Transportation Research Record, 1799, 58, 10.3141/1799-08
Larranaga, A. M., Arellana, J., Rizzi, L. I., Strambi, O., & Cybis, H. B. B. (2019). Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil. Transportation (Vol. 46). Springer US. doi: 10.1007/s11116-018-9944-x.
Larrañaga, 2016, The influence of built environment and travel attitudes on walking: A case study of Porto Alegre, Brazil. International Journal of Sustainable Transportation, 10, 332, 10.1080/15568318.2014.933986
Lee, 2021, Road users rarely use explicit communication when interacting in today's traffic: Implications for automated vehicles, Cognition, Technology and Work, 23, 367, 10.1007/s10111-020-00635-y
Li, A., Peng, Q., Zhang, L., & Huang, J. (2009). The Determinant of Pedestrian's Unsafe Behaviors in Urban Traffic System — An Empirical Analysis Based on the Theory of Planned Behavior (TPB). In International Conference on Transportation Engineering. Retrieved from http://dx.doi.org/10.1016/B978-0-12-849873-6.00001-7%0Ahttp://saber.ucv.ve/ojs/index.php/rev_venes/article/view/1112%0Ahttps://www.bps.go.id/dynamictable/2018/05/18/1337/persentase-panjang-jalan-tol-yang-beroperasi-menurut-operatornya-2014.html.
Louviere, 2000
Lucchesi, S., Larranaga, A. M., Bettella Cybis, H. B., Abreu e Silva, J. A. de, & Arellana, J. A. (2021). Are people willing to pay more to live in a walking environment? A multigroup analysis of the impact of walkability on real estate values and their moderation effects in two Global South cities. Research in Transportation Economics, 86(May 2020). doi: 10.1016/j.retrec.2020.100976.
Lucchesi, 2020, The role of security and walkability in subjective wellbeing: A multigroup analysis among different age cohorts, Research in Transportation Business and Management, 100559
Martinez, S., Sanchez, R., & Yañez-Pagans, P. (2019). Road safety: challenges and opportunities in Latin America and the Caribbean. Latin American Economic Review 2019 28:1, 28(1), 1–30. doi: 10.1186/S40503-019-0078-0.
Mcfadden, D. (1981). Econometric Models of Probabilistic Choice. Structural Analysis of Discrete Data with Econometric Applications, (198272). Retrieved from https://elsa.berkeley.edu/∼mcfadden/discrete/ch5.pdf.
Mfinanga, 2014, Implication of pedestrians stated preference of certain attributes of crosswalks, Transport Policy, 32, 156, 10.1016/j.tranpol.2014.01.011
Obeng-Atuah, D., Poku-Boansi, & M., Cobbinah, P. B. (2017). Pedestrian crossing in urban Ghana: Safety implications. Journal of Transport & Health, 5, 55-69.
Observatorio nacional de seguridad vial. (2020). Boletín estadistico Barranquilla. Retrieved from https://ansv.gov.co/observatorio/.
Oviedo-Trespalacios, 2015, Developing a new index for comparing road safety maturity: Case study of the ASEAN Community, Journal of the Australasian College of Road Safety, 26, 45
Oviedo-Trespalacios, O., & Scott-Parker, B. (2017). Footbridge usage in high-traffic flow highways: The intersection of safety and security in pedestrian decision-making. Transportation Research Part F: Traffic Psychology and Behaviour, 49, 177–187. doi: 10.1016/j.trf.2017.06.010.
Papadimitriou, 2012, Theory and models of pedestrian crossing behaviour along urban trips, Transportation Research Part F: Traffic Psychology and Behaviour, 15, 75, 10.1016/j.trf.2011.11.007
Papadimitriou, 2016, Pedestrian Risk Taking While Road Crossing: A Comparison of Observed and Declared Behaviour, Transportation Research Procedia, 14, 4354, 10.1016/j.trpro.2016.05.357
Papadimitriou, 2012, Analysis of Pedestrian Exposure to Risk in Relation to Crossing Behavior, Transportation Research Record: Journal of the Transportation Research Board, 2299, 79, 10.3141/2299-09
Patra, 2020, Modelling the effects of risk factor and time savings on pedestrians' choice of crossing facilities at signalized intersections, Case Studies on Transport Policy, 8, 460, 10.1016/j.cstp.2019.10.010
Poó, 2018, Pedestrian crossing behavior, an observational study in the city of Ushuaia, Argentina. Traffic Injury Prevention, 19, 305, 10.1080/15389588.2017.1391380
Pursula, 1999, Modeling level-of-service factors in public transportation route choice, Transport Research Record, 1669, 30, 10.3141/1669-04
Quistberg, 2014, Pedestrian signalization and the risk of pedestrian-motor vehicle collisions in Lima, Peru, Accident Analysis & Prevention, 70, 273, 10.1016/j.aap.2014.04.012
Rankavat, 2016, Pedestrians perceptions for utilization of pedestrian facilities – Delhi, India, Transportation Research Part F: Traffic Psychology and Behaviour, 42, 495, 10.1016/j.trf.2016.02.005
Räsänen, 2007, Pedestrian self-reports of factors influencing the use of pedestrian bridges, Accident Analysis and Prevention, 39, 969, 10.1016/j.aap.2007.01.004
Sinclair, 2016, Investigations into pedestrian crossing choices on Cape Town freeways, Transportation Research Part F: Traffic Psychology and Behaviour, 42, 479, 10.1016/j.trf.2015.07.006
Sisiopiku, 2003, Pedestrian behaviors at and perceptions towards various pedestrian facilities: An examination based on observation and survey data, Transportation Research Part F: Traffic Psychology and Behaviour, 6, 249, 10.1016/j.trf.2003.06.001
Soathong, A., Chowdhury, S., Wilson, D., & Ranjitkar, P. (2021). Investigating the motivation for pedestrians' risky crossing behaviour at urban mid-block road sections. Travel Behaviour and Society, 22(May 2020), 155–165. doi: 10.1016/j.tbs.2020.09.005.
Tao, 2009, Compulsory Convenience ? How large arterials and land use affect midblock crossing in Fushun, China, Journal of Transport and Land Use.
Uttley, 2017, The effect of ambient light condition on road traffic collisions involving pedestrians on pedestrian crossings, Accident Analysis and Prevention, 108, 189, 10.1016/j.aap.2017.09.005
Vallejo-Borda, 2020, A perception-based cognitive map of the pedestrian perceived quality of service on urban sidewalks, Transportation Research Part F: Traffic Psychology and Behaviour, 73, 107, 10.1016/j.trf.2020.06.013
Victoria, 2014, Road Safety Conditions and Estimated Economic Cost of Traffic Fatalities in Medium-Size Colombian Cities, Transportation Research Record, 2465, 40, 10.3141/2465-06
Villaveces, 2012, Pedestrians’ perceptions of walkability and safety in relation to the built environment in Cali, Colombia, 2009–10, Injury Prevention, 18, 291, 10.1136/injuryprev-2011-040223
World Health Organization. (2019). Global status report on road safety 2018. WHO.
Zareharofteh, 2021, Unsafe behaviours in Iranian adult pedestrians, Journal of Transport and Health, 21
Zhang, C., Chen, F., & Wei, Y. (2019). Evaluation of pedestrian crossing behavior and safety at uncontrolled mid-block crosswalks with different numbers of lanes in China. Accident Analysis and Prevention, 123(December 2018), 263–273. doi: 10.1016/j.aap.2018.12.002.
Zhang, 2018, Pedestrian crossing behaviors at uncontrolled multi-lane mid-block crosswalks in developing world, Journal of Safety Research, 64, 145, 10.1016/j.jsr.2017.12.018
Zhang, 2016, Exploring factors affecting pedestrians' red-light running behaviors at intersections in China, Accident Analysis and Prevention, 96, 71, 10.1016/j.aap.2016.07.038
Zhu, D., & Sze, N. N. (2021). Propensities of red light running of pedestrians at the two-stage crossings with split pedestrian signal phases. Accident Analysis and Prevention, 151(September 2020). doi: 10.1016/j.aap.2020.105958.