Review of current practices in recording road traffic incident data: with specific reference to spatial analysis and road policing policy

Road safety involves three major components: the road system, the human factor and the vehicle element. These three elements are inter-linked through geo-referenced traffic events and provide the basis for road safety analyses and attempts to reduce the number of road traffic incidents and improve road safety. Although numbers of deaths and serious injuries are back to approximately the 1950s levels when there were many fewer vehicles on the road, there are still over 100 fatalities or serious injuries every day, and this is a considerable waste of human capital. It is widely acknowledged that the location perspective is the most suitable methodology by which to analyse different traffic events, where by in this paper, I will concentrating on the relationship between road traffic incidents and traffic policing. Other methods include studying road and vehicle engineering and these will be discussed later. It is worth noting here that there is some division within the literature concerning the definitions of ‘accident’ and ‘incident’. In this paper I will use ‘incident’ because it is important to acknowledge a vast majority of ‘road accidents’ are in fact crimes. However I will use the term ‘accident’ where it is referred to in the literature or relevant reports. It is important to mention here that a road traffic accident can be defined as ‘the product of an unwelcome interaction between two or more moving objects, or a fixed and moving object’ (Whitelegg 1986). Road safety and road incident reduction relates to many other fields of activity including education, driver training, publicity campaigns, police enforcement, road traffic policing, the court system, the National Health Service and Vehicle engineering. Although the subject of using GIS to analyse road traffic incidents has not received much academic attention, it lies in the field of crime mapping which is becoming increasingly important. It is clear that studies have been attempted to analyse road traffic incidents using GIS are increasingly sophisticated in terms of hypotheses and statistical technique (for example see Austin, Tight and Kirby 1997). However it is also clear that there is considerable blurring of boundaries and the analysis of road accidents sits uncomfortably in crime mapping. This is due to four main reasons: - Road traffic incidents are associated with road engineering, which is concerned with generic solutions while road traffic analysis is about sensitivity to particular contexts. - Not all road traffic incidents are crimes - It is not just the police who have an interest in reducing road traffic incidents, other partners include local authorities, hospitals and vehicle manufacturers - The management of road traffic incidents is not just confined to the police GIS has been used for over thirty years however it has only been recently been used in the field of transportation. The field of transportation has come to embrace Geographical Information Systems as a keytechnology to support its research and operational need. The acronym GIS-T is often employed to refer to the application and adaptation of GIS to research, planning and management in transportation. GIS-T covers a broad arena of disciplines of which road traffic incident detection is just one theme. Others include in vehicle navigation systems. Initially it was only used to ask simple accident enquiries such as depicting the relative incidence of accidents in wet weather or when there is no street lighting, or to flag high absolute or relative incidences of accidents (see Anderson 2002). Recently however there has been increased acknowledgement that there is a requirement to go beyond these simple questions and to extend the analyses. It has been widely claimed by academics and the police alike that knowing where road accidents occur must lead to better road policing, in order to ensure that road policing becomes better integrated with other policing activities. This paper will be used to explore issues surrounding the analysis of road traffic accidents and how GIS analysts, police and policy makers can achieve a better understanding of road traffic incidents and how to reduce them. For the purpose of this study I will be trying to achieve a broader overview of the aspects concerning road accident analysis with a strong emphasis on data quality and accuracy with concern to GIS analysis. Data quality and accuracy are seen as playing a pivotal role in the road traffic management agenda because they assist the police and Local Authorities as to the specific location whereby management can be undertaken. Part one will consider the introduction to road incidents and their relationship with geography and spatial analysis and how this were initially applied to locating ‘hotspots’ and the more recent theory of ‘accident migration’. Part two will address current data issues of the UK collection procedure. This section will pay particular reference to geo-referencing and the implication of data quality on the procedure of analysing road incidents using GIS. Part three addresses issues surrounding the spatial analysis of road traffic incidents, including some techniques such as spatial autocorrelation, time-space geography and the modifiable area unit problem. Finally part four looks at the role of effective road traffic policing and how this can be achieved due to better understanding of the theory and issues arising from analysing road traffic incidents. It will also look at the diffusion and use of GIS within the police and local authorities.

[1]  Gilberto Câmara,et al.  Spatial Analysis and GIS : A Primer , 2004 .

[2]  C C Wright,et al.  ACCIDENT "MIGRATION" AFTER REMEDIAL TREATMENT AT ACCIDENT BLACKSPOTS , 1984 .

[3]  Stan Openshaw,et al.  Learning to live with errors in spatial databases , 1989 .

[4]  D. R. D. Mcguigan Accident «migration» ― or a flight of fancy? , 1985 .

[5]  Stewart Fotheringham,et al.  Scale-independent spatial analysis , 1989 .

[6]  Robert P. Haining,et al.  Designing spatial data analysis modules for geographical information systems , 1994 .

[7]  D T Silcock,et al.  The accuracy of accident data , 1992 .

[8]  Michael Peter Kennedy The Global Positioning System and GIS , 1996 .

[9]  Peter F. Fisher Knowledge-based approaches to determining and correcting areas of unreliability in geographic databases , 1989 .

[10]  Frederik P. Agterberg,et al.  Interactive spatial data analysis , 1996 .

[11]  I. Masser,et al.  Diffusion and Use of Geographic Information Technologies , 1993 .

[12]  Paul S. Goodman,et al.  Implementation of New Information Technology , 1993 .

[13]  Michael F. Goodchild,et al.  Observations and comments on the generation and treatment of error in digital GIS data , 1989 .

[14]  M Gregory,et al.  The long-term analysis of accident remedial measures at high-risk sites in Essex , 1994 .

[15]  H. James,et al.  UNDER-REPORTING OF ROAD TRAFFIC ACCIDENTS , 1991 .

[16]  Michael Blakemore,et al.  The accuracy of spatial databases , 1991 .

[17]  Jeremy Broughton A NEW SYSTEM FOR RECORDING CONTRIBUTORY FACTORS IN ROAD ACCIDENTS , 1998 .

[18]  Michael F. Goodchild,et al.  Inclusion of accuracy data in a feature based, object oriented data model , 1989 .

[19]  K. Eason,et al.  Gaining User and Organisational Acceptance for Advanced Information Systems , 1993 .

[20]  Z. Vekerdy Spatial analysis: modelling in a GIS environment , 1998 .

[21]  Peter A. Rogerson,et al.  Spatial Analysis and GIS , 1994 .

[22]  Trevor C. Bailey,et al.  Interactive Spatial Data Analysis , 1995 .

[23]  I. Thomas Spatial data aggregation: exploratory analysis of road accidents. , 1996, Accident; analysis and prevention.

[24]  Miles Tight,et al.  The use of geographical information systems to enhance road safety analysis , 1997 .

[25]  P. Longley,et al.  Spatial analysis: Modelling in a GIS environment , 1996 .

[26]  Peter A. Rogerson,et al.  GIS and spatial analysis: introduction and overview , 1994 .

[27]  Nicholas Chrisman,et al.  Modeling error in overlaid categorical maps , 1989 .

[28]  Bhagwant N. Persaud 'Migration' of accident risk after remedial blackspot treatment , 1987 .

[29]  G. Hunter,et al.  Managing uncertainty in GIS , 2005 .