Abstract
This research is intended to support policy makers, infrastructure designers, road safety planners, and law enforcement in the identification of the underlying characteristics of killed or seriously injured (KSI) between 2006 and 2019, as a result of motor vehicle collisions (MVCs) within the City of Toronto. A combination of global and local spatial autocorrelation testing approaches with Moran’s I and Getis-Ord followed by statistical modeling was leveraged. Results determined by KSIs within the City of Toronto were not random in nature and spatial interaction was driven by underlying factors. Global autocorrelation was only present in the Downtown Toronto Area. Stepwise regression modeling (SRM) revealed a multitude of explanatory factors including land use, infrastructure density, and demographics to explain the variation within the rate of KSI occurrences with statistical significance. Data for this research was acquired through open data and academic repositories from Toronto Police Service, City of Toronto, and Statistics Canada.
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References
Anselin L (1995) Local indicators of spatial association – LISA. Geogr Anal 27(2):93–115
Bivand RS, Wong DWS (2018) Comparing implementations of global and local indicators of spatial association. TEST 27(3):716–748
Camilloni L, Farchi S, Chini F, Rossi PG, Borgia P, Guasticchi G (2013) How socioeconomic status influences road traffic injuries and home injuries in Rome. Int J Inj Control Saf Promot 20(2):134–143
Chun Y, Griffith DA, Lee M et al (2016) Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters. J Geogr Syst 18:67–85
Cinnamon J, Schuurman N, Hameed SM (2011) Pedestrian injury and human behaviour: observing road-rule violations at high-incident intersections. PLoS One 6(6):e21063
Dark SJ, Bram D (2007) The modifiable areal unit problem (MAUP) in physical geography. Prog Phys Geogr Earth Environ 31(5):471–479
Evenson KR, LaJeunesse S, Heiny S (2018) Awareness of vision zero among United States’ road safety professionals. Inj Epidemiol 5(1):1–6
Ewing R, Schieber RA, Zegeer CV (2003) Urban sprawl as a risk factor in motor vehicle occupant and pedestrian fatalities. Am J Public Health 93(9):1541–1545
Flahaut B, Mouchart M, Martin ES, Thomas I (2003) The local spatial autocorrelation and the kernel method for identifying black zones: a comparative approach. Accid Anal Prev 35:991–1004
Hamilton D (1987) Sometimes R2>r2yx1+r2yx2. Correlated variables are not always redundant. Am Stat 41(2):129–132. American Statistical Association
Kaycheng S (2015) Multicolinearity in university rankings. High Educ Q 69:158–174
Martin PG, Crandall JR, Pilkey WD (2000) Injury trends of passenger car drivers in frontal crashes in the USA. Accid Anal Prev 32:541–557
Nunn S, Newby W (2014) Landscapes of risk: the geography of fatal traffic collisions in Indiana, 2003 to 2011. Prof Geogr 67(2, 2015):269–281
Ord JK, Getis A (1995) Local spatial autocorrelation statistics: distributional issues and an application. Geogr Anal 27(4):286–306
Pratte D (1998) Road to ruin: road traffic accidents in the developing world. NEXUS 13:46–62
Scheidt PC, Harel Y, Trumble AC, Jones DH, Overpeck MD, Bijur PE (1995) The epidemiology of nonfatal injuries among US children and youth. Am J Public Health 85(7):932–938
Shieh G (2006) Suppression situations in multiple linear regression. Educ Psychol Meas 66(3):435–447
Vaz E (2021) COVID-19 in Toronto: a spatial exploratory analysis. Sustainability 13(2):498
Waller LA (2005) Exploring goodness-of-fit and spatial correlation using components of Tango’s index of spatial clustering. Geogr Anal 37:371–382
Witzell J (2019) Physical planning in an era of marketization: conflicting governance perspectives in the Swedish Transport Administration. Eur Plan Stud 27(7):1413–1431
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Appendix: Linear Feature Definitions (City of Toronto 2020)
Appendix: Linear Feature Definitions (City of Toronto 2020)
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Highway is designated for fast, long-distance travel with restricted access to sustain high speeds.
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Highway Transfer Ramp provides for transfer between road and highway and also between highway and highway.
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Arterial Road is usually under regional jurisdiction and is fed by collector roads and in some cases is connected to other arterial roads or collector roads via road ramp.
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Collector Roads is designated mainly for travel to and from arterial roads with some driveway access. In metro they are usually under local jurisdiction.
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Lane is designated mainly for City of Toronto laneways and is usually under local jurisdiction.
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Local Road is designated to service driveway access and usually connects to collector roads or other local roads.
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Access Road is dedicated to provide access to or within properties such as townhouse complexes, airports etc.
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Pending Road is suggested to identify roads with a planned feature code that awaits council approval. This is not requested until the road is assumed and may be delayed for 6 years or more.
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Road Ramps (major arterial, minor arterial, collector, other) provide for transfer between two roads.
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Busway is a road dedicated for buses only.
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Major Railway is designated for the fast, long-distance, inter-provincial movement of cargo or passenger trains.
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Minor Railway is designated for local public transportation and includes aboveground rapid transit corridors and subway lines.
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River is a major waterway.
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Creek/Tributary is a minor waterway.
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Trail is a pedestrian way designated for recreational purposes and can include foot-powered vehicles such as bikes or roller-blades, etc.
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Walkway is a designated path primarily for walking.
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Hydro Line is an electricity transportation corridor (high voltage).
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Major Shoreline is a boundary of a large body of water, e.g., Lake Ontario shoreline.
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Minor Shoreline is a boundary of a small body of water such as a pond or reservoir.
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Thompson, A., Vaz, E. (2023). Spatial Analysis of Characteristics and Influencing Factors of Killed or Seriously Injured Persons from Motor Vehicle Collisions Within the City of Toronto. In: Regional and Urban Change and Geographical Information Systems and Science. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-031-24731-6_4
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