Share:


Location of speed control cameras on highways: a geospatial analysis

    Garis Coronell Affiliation
    ; Julián Arellana Affiliation
    ; Víctor Cantillo Affiliation

Abstract

This research proposes a methodology to identify critical sections of highways where the location of speeding control may be beneficial. The method relies on a spatial and statistical analysis of infrastructure risks, along with traffic accident frequency and severity. A relevant feature of this methodology is related to its potential to be used in areas where there are no detailed historical records about traffic crashes, which is common in Global South countries. We applied the methodology to a rural road network in Colombia, where a recent law established that technical criteria should support the location of speed cameras. The case study uses accident information from six years, and risk data from a road safety audit carried out in the area under study. Even though historical records of accidents in the area were not fully available, the methodology allowed prioritising speed camera installations in the zone and identifying the relevant variables to define camera location. The relevant variables were the geometric characteristics of the road, traffic flows, risk factors, and proximity to populated centres. The use of speed controls should be part of a road safety management system, which allows defining camera location according to robust technical criteria.

Keyword : speeding control cameras, traffic crashes, statistical analysis, kernel density, highway safety, road safety

How to Cite
Coronell, G., Arellana, J., & Cantillo, V. (2021). Location of speed control cameras on highways: a geospatial analysis. Transport, 36(3), 199-212. https://doi.org/10.3846/transport.2021.15117
Published in Issue
Aug 17, 2021
Abstract Views
1129
PDF Downloads
782
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Aarts, L.; Van Schagen, I. 2006. Driving speed and the risk of road crashes: a review, Accident Analysis & Prevention 38(2): 215–224. https://doi.org/10.1016/j.aap.2005.07.004

Akgungor, A. P.; Doğan, E. 2009. An artificial intelligent approach to traffic accident estimation: Model development and application, Transport 24(2): 135–142. https://doi.org/10.3846/1648-4142.2009.24.135-142

Aljassar, A. H.; Ali, M. A.; Al-Anzi, M. S. 2004. An investigation on the effect of traffic cameras on road safety in Kuwait, in 2nd Gulf Conference on Roads, 14–18 March 2004, Abu Dhabi, UAE, 1–11.

Anderson, T. 2007. Comparison of spatial methods for measuring road accident ‘hotspots’: a case study of London, Journal of Maps 3(1): 55–63. https://doi.org/10.1080/jom.2007.9710827

ARISTO Consultores Ltda. 2011. Definición de metodologķa para la localización de equipos de fiscalización automįtica relacionados con seguridad vial: informe final. Ministerio de Transportes y Telecomunicaciones (MTT). Gobierno de Chile. 84 p. (in Spanish). Available from Internet: http://www.sectra.gob.cl/biblioteca/detalle1.asp?mfn=2927

Ayati, E.; Abbasi, E. 2011. Investigation on the role of traffic volume in accidents on urban highways, Journal of Safety Research 42(3): 209–214. https://doi.org/10.1016/j.jsr.2011.03.006

Berkuti, C.; Osburn, W. 1998. Photo enforcement in the Wild West: national city’s experience with photo radar enforcement program, in 1998 Compendium Of Technical Papers, Institute Of Transportation Engineers, Washington, DC, US, 112–117.

Blais, E.; Carnis, L. 2015. Improving the safety effect of speed camera programs through innovations: evidence from the French experience, Journal of Safety Research 55: 135–145. https://doi.org/10.1016/j.jsr.2015.08.007

Buzai, G. D.; Baxendale, C. A. 2015. Analisis socioespacial con sistemas de informacion geografica marco conceptual basado en la teoria de la geografia, Ciencias Espaciales 8(2): 391–408. (in Spanish). https://doi.org/10.5377/ce.v8i2.2089

Cameron, M.; Newstead, S.; Diamantopoulou, K.; Oxley, P. 2003. The Interaction between Speed Camera Enforcement and Speed-Related Mass Media Publicity in Victoria. Report No 201. Accident Research Centre, Monash University, Clayton, Victoria, Australia 130 p. Available from Internet: https://www.monash.edu/__data/assets/pdf_file/0020/216821/The-interaction-between-speed-camera-enforcement-and-speed-relatedmass-media-publicity-in-Victoria.pdf

Cardozo, O. D.; Bondar, C. E.; Odriozola, J. G. 2010. Localizacion optima de expendios de carne porcina con sistemas de informacion geografica en la ciudad de Resistencia, Argentina, Cuadernos de Geografķa: Revista Colombiana de Geografķa (19): 87–96. (in Spanish). https://doi.org/10.15446/rcdg.n19.16850

Carnis, L. 2008. Automated speed detection and sanctions system: application and evaluation in France, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 12(2): 75–85. https://doi.org/10.1080/15472450802023345

Chang, L.-Y.; Chen, W.-C. 2005. Data mining of tree-based models to analyze freeway accident frequency, Journal of Safety Research 36(4): 365–375. https://doi.org/10.1016/j.jsr.2005.06.013

Chen, C.; Zhang, G.; Liu, X. C.; Ci, Y.; Huang, H.; Ma, J.; Chen, Y.; Guan, H. 2016. Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation, Accident Analysis & Prevention 97: 69–78. https://doi.org/10.1016/j.aap.2016.07.031

Christie, S. M.; Lyons, R. A.; Dunstan, F. D.; Jones, S. J. 2003. Are mobile speed cameras effective? A controlled before and after study, Injury Prevention 9(4): 302–306. https://doi.org/10.1136/ip.9.4.302

CoNaSeT. 2002. Informe Técnico de Equipos de Registro de Infracciones. Comision Nacional de Seguridad de Transito (CoNa-SeT), Chile. (in Spanish). Available from Internet: https://www.conaset.cl

CorMagdalena. 2003. Actualización de la Cartografķa Bįsica a Escala 1:100.000 de la Zona Norte de la Cuenca del Rķo Magdalena. Corporacion Autonoma Regional del Rio Grande de la Magdalena (CorMagdalena), Bogota, Colombia. (in Spanish). Available from Internet: http://www.cormagdalena.gov.co

CFPV. 2013. Evaluación de la Seguridad Vial en Rutas Asignadas a la Red Vial Nacional de Acuerdo a Las Capacitaciones Sobre la Metodologķa de Evaluación de Seguridad Vial iRAP. Corporacion Fondo de Prevencion Vial (CFPV), Bogota, Colombia. (in Spanish).

Dai, D. 2012. Identifying clusters and risk factors of injuries in pedestrian–vehicle crashes in a GIS environment, Journal of Transport Geography 24: 206–214. https://doi.org/10.1016/j.jtrangeo.2012.02.005

DANE. 2006. Censo General 2005. Departamento Administrativo Nacional de Estadistica (DANE), Colombia. (in Spanish). Available from Internet: http://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censogeneral-2005-1

DDOT. 2013. Speed Limit and Safety Nexus Studies for Automated Enforcement Locations in the District of Columbia: 700 Block Maryland Avenue NE. District Department of Transportation (DDOT), Washington, DC, US. 9 p. Available from Internet: http://ddotfiles.com/SpeedCameras/Ward6_Proposed/700_MarylandAve_NE.pdf

De Pauw, E.; Daniels, S.; Brijs, T.; Hermans, E.; Wets, G. 2014a. An evaluation of the traffic safety effect of fixed speed cameras, Safety Science 62: 168–174. https://doi.org/10.1016/j.ssci.2013.07.028

De Pauw, E.; Daniels, S.; Brijs, T.; Hermans, E.; Wets, G. 2014b. Behavioural effects of fixed speed cameras on motorways: Overall improved speed compliance or kangaroo jumps?, Accident Analysis & Prevention 73: 132–140. https://doi.org/10.1016/j.aap.2014.08.019

Delaney, A.; Ward, H.; Cameron, M.; Williams, A. F. 2005. Controversies and speed cameras: lessons learnt internationally, Journal of Public Health Policy 26(4): 404–415. https://doi.org/10.1057/palgrave.jphp.3200044

DfT. 2007. Use of Speed and RedLight Cameras for Traffic Enforcement: Guidance on Deployment, Visibility and Signing. DfT Circular 01/2007. Department for Transport (DfT), London, UK. 12 p. Available from Internet: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/465165/dft-circular-0107.pdf

DNIT. 2012. Fiscalizaēćo Eletrōnica Reduz Acidentes e Vķtimas nas Rodovias. Departamento Nacional de Infraestrutura de Transportes (DNIT), Ministerio da Infraestrutura, Brasil. (in Portuguese). Available from Internet: https://estradas.com.br/fiscalizacao-eletronica-reduz-acidentes-e-vitimas-nasrodovias

Elvik, R. 2009. The Power Model of the Relationship between Speed and Road Safety: Update and New Analyses. TOI Report 1034/2009. Institute of Transport Economics (TOI), Oslo, Norway, 82 p. Available from Internet: https://www.toi.no/getfile.php?mmfileid=13206

Erdogan, S.; Yilmaz, I.; Baybura, T.; Gullu, M. 2008. Geographical information systems aided traffic accident analysis system case study: city of Afyonkarahisar, Accident Analysis & Prevention 40(1): 174–181. https://doi.org/10.1016/j.aap.2007.05.004

ETSC. 1995. Reducing Traffic Injuries Resulting from Excess and Inappropriate Speed. European Transport Safety Council (ETSC), Brussels, Belgium. 40 p. Available from Internet: http://archive.etsc.eu/documents/Reducing%20traffic%20injuries%20from%20excess%20and%20inappropriate%20speed.pdf

Goldenbeld, C.; Van Schagen, I. 2005. The effects of speed enforcement with mobile radar on speed and accidents: An evaluation study on rural roads in the Dutch province Friesland, Accident Analysis & Prevention 37(6): 1135–1144. https://doi.org/10.1016/j.aap.2005.06.011

Gomez-Barroso, D.; Lopez-Cuadrado, T.; Llacer, A.; Palmera-Suarez, R.; Fernandez-Cuenca, R. 2015. Analisis espacial de los accidentes de trafico con victimas mortales en carretera en Espana, 2008–2011, Gaceta Sanitaria 29(Suppl. 1): 24–29. (in Spanish). https://doi.org/10.1016/j.gaceta.2015.02.009

GRSP. 2008. Speed Management: a Road Safety Manual for Decision-Makers and Practitioners. Global Road Safety Partnership (GRSP), Geneva, Switzerland. 191 p. Available from Internet: http://apps.who.int/iris/bitstream/handle/10665/43915/9782940395040_eng.pdf

Hadayeghi, A.; Shalaby, A. S.; Persaud, B. N. 2010. Development of planning level transportation safety tools using geographically weighted Poisson regression, Accident Analysis & Prevention 42(2): 676–688. https://doi.org/10.1016/j.aap.2009.10.016

Harwood, D. W.; Bauer, K. M.; Gilmore, D. K.; Souleyrette, R.; Hans, Z. N. 2010. Validation of U.S. road assessment program star rating protocol: application to safety management of U.S. roads, Transportation Research Record: Journal of the Transportation Research Board 2147: 33–41. https://doi.org/10.3141/2147-05

He, J.; King, M.; Watson, B.; Rakotonirainy, A.; Fleiter, J. 2013. Speed enforcement in China: National, provincial and city initiatives and their success, Accident Analysis & Prevention 50: 282–288. https://doi.org/10.1016/j.aap.2012.04.017

Hess, S.; Polak, J. 2003. Effects of speed limit enforcement cameras on accident rates, Transportation Research Record: Journal of the Transportation Research Board 1830: 25–33. https://doi.org/10.3141/1830-04

Hoye, A. 2015. Safety effects of fixed speed cameras – an empirical Bayes evaluation, Accident Analysis & Prevention 82: 263–269. https://doi.org/10.1016/j.aap.2015.06.001

IGAC. 2011. SIGOT: Sistema de Información Geogrįfica Para la Planeación y el Ordenamiento Territorial. Instituto Geografico Agustin Codazzi (IGAC), Bogota, Colombia. (in Spanish). Available from Internet: https://sigot.igac.gov.co

INMLCF. 2015. Forensis 2014: Datos Para la Vida. Instituto Nacional de Medicina Legal y Ciencias Forenses (INMLCF), Bogota, Colombia. (in Spanish). Available from Internet: https://www.medicinalegal.gov.co

INVIAS. 2015. Volśmenes de Trįnsito: Documentos Técnicos. Instituto Nacional de Vias (INVIAS), Bogota, Colombia. (in Spanish). Available from Internet: https://invias.gov.co

Koike, H.; Morimoto, A.; Hanzawa, Y.; Shiraishi, N. 2000. Development of hazard map using GIS to reduce traffic accidents, in Eighth International Conference on Computing in Civil and Building Engineering (ICCCBE-VIII), 14–16 August 2000, Stanford, CA, US, 217–224. https://doi.org/10.1061/40513(279)28

Li, H.; Graham, D. J. 2016. Heterogeneous treatment effects of speed cameras on road safety, Accident Analysis & Prevention 97: 153–161. https://doi.org/10.1016/j.aap.2016.09.007

Luna Gonzalez, L.; Chias Becerril, L. 1999. El uso de SIG en el analisis de la distribucion de accidentes en carreteras: el caso de Tamaulipas, Mexico, Investigaciones Geogrįficas 40: 148–162. (in Spanish). https://doi.org/10.14350/rig.59100

Ma, Z.; Zhao, W.; Chien, S. I.-J.; Dong, C. 2015. Exploring factors contributing to crash injury severity on rural two-lane highways, Journal of Safety Research 55: 171–176. https://doi.org/10.1016/j.jsr.2015.09.003

Makinen, T.; Zaidel, D. M.; Andersson, G.; Biecheler-Fretel, M.-B.; Christ, R.; Cauzard, J.-P.; Elvik, R.; Goldenbeld, C.; Gelau, C.; Heidstra, J.; Jayet, M.-C.; Nilsson, G.; Papaioanou, P.; Quimby, A.; Rehnova, V.; Vaa, T. 2003. Traffic Enforcement in Europe: Effects, Measures, Needs and Future. Final Report of the ESCAPE Consortium. The “Escape” Project, Contract No RO-98-RS.3047. 138 p. Available from Internet: https://ec.europa.eu/transport/road_safety/sites/default/files/pdf/projects_sources/escape_final_report.pdf

Martinez, A.; Arellana, J.; Coronell, G.; Cantillo, V. 2014. Analisis geoespacial de muertos y heridos por accidentes de trafico en zonas urbanas: aplicacion a Barranquilla, Colombia, in XVIII Congreso Panamericano de Ingenierķa de Trįnsito, Transporte y Logķstica, PANAM 2014, 11–13 de junio de 2014, Santander, Cantabria, Espana (in Spanish).

Novoa, A. M.; Perez, K.; Santamarina-Rubio, E.; Mari-Dell’Olmo, M.; Tobias, A. 2010. Effectiveness of speed enforcement through fixed speed cameras: a time series study, Injury Prevention 16(1): 12–16. https://doi.org/10.1136/ip.2008.021485

OECD. 2006. Speed Management. Transport Research Centre, Organisation for Economic Co-operation and Development (OECD). 285 p. Available from Internet: https://www.itfoecd.org/sites/default/files/docs/06speed.pdf

Oei, H.-L. 1996. Automatic speed management in the Netherlands, Transportation Research Record: Journal of the Transportation Research Board 1560: 57–64. https://doi.org/10.3141/1560-09

Paredes, R. D.; Rizzi, L. I.; Valenzuela, J. 2006. .Cazabobos o salvavidas?: la economia politica de los fotorradares en Chile, Estudios de Economķa 33(2): 97–115. (in Spanish).

Pikūnas, A.; Pumputis, V.; Sadauskas, V. 2004. The influence of vehicles speed on accident rates and their consequences, Transport 19(1): 15–19. https://doi.org/10.3846/16484142.2004.9637946

Povey, L. J.; Frith, W. J.; Keall, M. D. 2003. An Investigation of the Relationship between Speed Enforcement, Vehicle Speeds and Injury Crashes in New Zealand. Transportation Group, New Zealand. 12 p. Available from Internet: http://www.transportationgroup.nz/papers/2003/01_Povey_Keall_Frith.pdf

Prasannakumar, V.; Vijith, H.; Charutha, R.; Geetha, N. 2011. Spatio-temporal clustering of road accidents: GIS based analysis and assessment, Procedia – Social and Behavioral Sciences 21: 317–325. https://doi.org/10.1016/j.sbspro.2011.07.020

Rodriguez Ojeda, L. 2014. Construccion de kernels y funciones de densidad, in Repositorio Dspace. 18 p. (in Spanish). Available from Internet: http://www.dspace.espol.edu.ec/handle/123456789/25019

Rosenblatt, M. 1956. Remarks on some nonparametric estimates of a density function, The Annals of Mathematical Statistics 27(3): 832–837. https://doi.org/10.1214/aoms/1177728190

Shim, J.; Park, S. H.; Chung, S.; Jang, K. 2015. Enforcement avoidance behavior near automated speed enforcement areas in Korean expressways, Accident Analysis & Prevention 80: 57–66. https://doi.org/10.1016/j.aap.2015.03.037

Silverman, B. W. 1998. Density Estimation for Statistics and Data Analysis. Routledge. 176 p. https://doi.org/10.1201/9781315140919

Steenberghen, T.; Aerts, K.; Thomas, I. 2010. Spatial clustering of events on a network, Journal of Transport Geography 18(3): 411–418. https://doi.org/10.1016/j.jtrangeo.2009.08.005

Steenberghen, T.; Dufays, T.; Thomas, I.; Flahaut, B. 2004. Intraurban location and clustering of road accidents using GIS: a Belgian example, International Journal of Geographical Information Science 18(2): 169–181. https://doi.org/10.1080/13658810310001629619

Theofilatos, A. 2017. Incorporating real-time traffic and weather data to explore road accident likelihood and severity in urban arterials, Journal of Safety Research 61: 9–21. https://doi.org/10.1016/j.jsr.2017.02.003

Tulu, G. S.; Washington, S.; Haque, M.; King, M. J. 2015. Investigation of pedestrian crashes on two-way two-lane rural roads in Ethiopia, Accident Analysis & Prevention 78: 118–126. https://doi.org/10.1016/j.aap.2015.02.011

Turner, S.; Polk, A. E. 1998. Overview of automated enforcement in transportation, ITE Journal 68(6): 20–29.

UCLA. 2021. Zero-Inflated Poisson Regression – R Data Analysis Examples. UCLA Statistical Consulting, Institute for Digital Research and Education, Los Angeles, CA, US. Available from Internet: https://stats.idre.ucla.edu/r/dae/zip

UniNorte. 2013. Estudio de Los Puntos Crķticos de Accidentalidad en Las Vķas del Departamento del Atlįntico. Universidad del Norte (UniNorte), Barranquilla, Colombia. (in Spanish).

Vecino-Ortiz, A. I.; Hyder, A. A. 2014. The use of cost–benefit analysis in road assessments: a methodological inquiry, Injury Prevention 20(1): 50–53. https://doi.org/10.1136/injuryprev-2012-040708

Washington, S.; Karlaftis, M.; Mannering, F.; Anastasopoulos, P. 2020. Statistical and Econometric Methods for Transportation Data Analysis. Chapman and Hall/CRC. 496 p. https://doi.org/10.1201/9780429244018

Weber, R.; Jahrig, T. 2010. “AOSI” improving road safety on rural roads in Germany, in 4th International Symposium on Highway Geometric Design, 2–5 June 2010, Valencia, Spain, 1–8.

WHO. 2015. Global Status Report on Road Safety 2015. World Health Organization (WHO). 340 p. Available from Internet: https://www.afro.who.int/sites/default/files/2017-06/9789241565066_eng.pdf

WHO. 2009. Global Status Report on Road Safety: Time for Action. World Health Organization (WHO). 301 p. Available from Internet: https://apps.who.int/iris/bitstream/handle/10665/44122/9789241563840_eng.pdf

Young, J.; Park, P. Y. 2014. Hotzone identification with GIS-based post-network screening analysis, Journal of Transport Geography 34: 106–120. https://doi.org/10.1016/j.jtrangeo.2013.11.007