ENHANCING ROAD SAFETY MANAGEMENT WITH GIS MAPPING AND GEOSPATIAL DATABASE

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Reliable and accurate data are needed in each stage of road safety management in order to correctly identify problems and risk factors and priority treatments, and to formulate strategy, set targets and monitor performance. Ongoing, data-led diagnosis and management of the leading road safety problems enables appropriate action and resource allocation. Data relevant to road safety are collected every day, but for these data to be useful for informing road safety practice, they must be properly coded and visualized, processed and analysed in a systematic way. With the road system management strategy switching from 3Es to Safe System, there is additional challenges and demand for the integrated use of various types of road safety data. In this paper, the development of an integrated road safety data management system is introduced. The road safety data management system consists of a geospatial database for storing, querying and analysing road safety related data including crash records, road safety deficiency records, carriageway, surfacing, geometry, skid resistance, signs and road marking etc, and a GIS mapping platform for visualizing and integrating different data sets. Data from a State Highway network is used to demonstrate the potential application areas of the information system developed, such as identification of crash hot-spots, development of safety intervention and safety management strategies, planning of minor safety improvement programme, and investigation of severe and fatal crashes.

Technology

Enhancing road safety management
with geospatial database and GIS
mapping
Dr Wei Liu
GHD

Enhancing road safety management with
geospatial database and GIS mapping
Overview of Presentation
• Background
• Development of Integrated Road Safety Data Management
System
• Demonstrations of Potential Applications
• Summary and Conclusions

Background – Data is crucial
• Data is the cornerstone of all road
safety activities and is essential for
the diagnosis of road crashes and
for monitoring road safety efforts.
• Without ongoing, data-led
diagnosis and management of the
leading road safety problems, it is
difficult to achieve significant and
sustainable road safety
improvements.
Define
problems
Identify
risk
factors
and
priorities
Formulate
Strategy
Set targets
and monitor
performance

Background – Data Use in Safe
System
• Safer Journeys, New Zealand’s Road
Safety Strategy 2010-20, adopts a
safe system approach to road safety
focused on creating safe roads, safe
speeds, safe vehicles and safe road
use.
• This approach represents a
fundamental shift in the way we
think about road safety, as there is
the additional challenge and
demand for integrated and effective
use of various types of data to
achieve our road safety targets

Background – Data Management
Issues
• Data Hard to Reach
• Data not in Friendly Format
• Data Rich, Intelligence Poor

Development of Integrated Road
Safety Data Management System
• An integrated road safety data
management system, consisting
of a road safety database and a
mapping tool, has been
developed.
• WestWaikato State Highway
Network
GHD
Integrated
Road Safety
Data
Management
System
CAS
Detailed Crash
Information
RAMM
Road Safety
Studies

Development of Integrated Road
Safety Data Management System
• RAMM
• Carriageway Section
• Carriageway Surface
• Signs
• Road Markings
• Skid Resistance
• Out-of-Context Curves
• FWP
• …

Development of Integrated Road
Safety Data Management System
• Road Safety Studies

Spatial-Referenced Road Safety
Database
• Spatial referenced road safety data
• Spatial queries designed to search
within the available road safety
related data to satisfy a given
geometry condition
• Distance
• Overlap
• Contain
• Tools are available to convert data
between a linear referencing system
and a spatial referencing system.

Road Safety Data Mapping
• Visualises AllTypes of Road Safety
Data in a Single Platform
• Integrates DifferentType of Road
Safety Data Spatially
• Friendly and Easy-to-Use Interface
• Take Advantage of Functionalities
and Information Layers (such as
Streetview) within Google Earth /
Map
• Convenient to Share Information
with Others

Potential Applications
• Understanding safety risks in the
network level
• Gathering information for road
safety studies
• Safety improvement project
identification and prioritisation –
hot spot analysis

Summary and Conclusions
• Effective use of data is a challenge in road safety management under the
safe system approach.
• An integrated road safety data management system has been developed by
GHD, and has the potential to make the most of data.
• By applying the system , more informed decisions on road safety
improvements can be achieved.

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Heavy duty pavements are pavements subjected to the extremely heavy wheel loads associated with freight handling vehicles in industrial facilities, such as container terminals and warehouses. Heavy duty pavement need to handle many types of freight handling vehicles, such as forklifts, straddle carriers, gantry cranes and side loaders. The purpose of pavement design is to determine the number, material composition and thickness of different layers within a pavement structure required to accommodate a given loading condition.

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ENHANCING ROAD SAFETY MANAGEMENT WITH GIS MAPPING AND GEOSPATIAL DATABASE

1. Enhancing road safety management with geospatial database and GIS mapping Dr Wei Liu GHD

2. Enhancing road safety management with geospatial database and GIS mapping Overview of Presentation • Background • Development of Integrated Road Safety Data Management System • Demonstrations of Potential Applications • Summary and Conclusions

3. Background – Data is crucial • Data is the cornerstone of all road safety activities and is essential for the diagnosis of road crashes and for monitoring road safety efforts. • Without ongoing, data-led diagnosis and management of the leading road safety problems, it is difficult to achieve significant and sustainable road safety improvements. Define problems Identify risk factors and priorities Formulate Strategy Set targets and monitor performance

4. Background – Data Use in Safe System • Safer Journeys, New Zealand’s Road Safety Strategy 2010-20, adopts a safe system approach to road safety focused on creating safe roads, safe speeds, safe vehicles and safe road use. • This approach represents a fundamental shift in the way we think about road safety, as there is the additional challenge and demand for integrated and effective use of various types of data to achieve our road safety targets

5. Background – Data Management Issues • Data Hard to Reach • Data not in Friendly Format • Data Rich, Intelligence Poor

6. Development of Integrated Road Safety Data Management System • An integrated road safety data management system, consisting of a road safety database and a mapping tool, has been developed. • WestWaikato State Highway Network GHD Integrated Road Safety Data Management System CAS Detailed Crash Information RAMM Road Safety Studies

7. Development of Integrated Road Safety Data Management System • RAMM • Carriageway Section • Carriageway Surface • Signs • Road Markings • Skid Resistance • Out-of-Context Curves • FWP • …

8. Development of Integrated Road Safety Data Management System • Road Safety Studies

9. Spatial-Referenced Road Safety Database • Spatial referenced road safety data • Spatial queries designed to search within the available road safety related data to satisfy a given geometry condition • Distance • Overlap • Contain • Tools are available to convert data between a linear referencing system and a spatial referencing system.

10. Road Safety Data Mapping • Visualises AllTypes of Road Safety Data in a Single Platform • Integrates DifferentType of Road Safety Data Spatially • Friendly and Easy-to-Use Interface • Take Advantage of Functionalities and Information Layers (such as Streetview) within Google Earth / Map • Convenient to Share Information with Others

11. Road Safety Data Mapping

12. Potential Applications • Understanding safety risks in the network level • Gathering information for road safety studies • Safety improvement project identification and prioritisation – hot spot analysis

13.

14.

15. Hot Spot Analysis

16. Summary and Conclusions • Effective use of data is a challenge in road safety management under the safe system approach. • An integrated road safety data management system has been developed by GHD, and has the potential to make the most of data. • By applying the system , more informed decisions on road safety improvements can be achieved.

Editor's Notes

Good afternoon Ladies and Gentlemen. My name is Wei and I am a senior road asset management engineer from GHD. Welcome to my presentation on enhancing road safety management with geospatial database and GIS mapping. I will be delighted if you find some useful information from my today’s presentation.
In today’s presentation, I will briefly introduce the background of this work first, followed by how the integrated road safety data management developed, then some demonstrations of potential applications of the integrated road safety data management system will be given. At the end of the presentation, I will summarize the presentations and present some conclusions. Without further ado, let’s look at the introduction.
Road controlling authorities put great effort and expense into collecting large quantities of data related to road asset management, including road safety related data. Reliable and detailed data help road safety practitioners accurately identify problems, risk factors and priority areas, and to formulate strategy, and to set targets and monitor performance as shown in the chart in the right here. Without ongoing, data-led diagnosis and management of the leading road injury problems, it is difficult to achieve significant and sustainable reductions of crash risk or the severity of crashes.
Safer Journeys, New Zealand’s Road Safety Strategy 2010-20, has a vision to provide a safe road system increasingly free of death and serious injury. It adopts a safe system approach to road safety focused on creating safe roads, safe speeds, safe vehicles and safe road use. These four safe system pillars need to come together if the Government’s vision for road safety is to be achieved. This approach represents a fundamental shift in the way we think about road safety therefore there is the additional challenge and demand for integrated and more effective use of various types of road safety data.
There are many improvements in using data for road safety studies recent years. For example state highway risk mapping and star rating results from KiwiRAP and more recently NZTA’sSafeNET system for high risk rural roads and intersections. However, there are still some issues that preventing us to make the most from the available data. To give a few, for example, sometimes we may find it is not easy to get the data we want as different data might be stored in different system and different format, for example road safety inspection and audit results usually stored separately from the main databases and they are in RAMM or CAS. Also, the data we need might not be in the right format, for example, we can get KiwiRAP report in PDF format from their website but we may need the data in spreadsheet or GIS format for detailed study. Last but not the least, we may find that “Data rich, intelligence poor”, the question is whether we have made the most from the data available to us to make the best decision.

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Editor's Notes