SPI s: alternative for (lack of) accident data?

Transcription

1 SPI s: alternative for (lack of) accident data? Use of safety performance indicators in policy making Eric de Kievit senior advisor Traffic & Transport Research Friday, 06 November 2015

2 Content Reliability of accident data Towards new data-resources What we do know Use of SPI s in policy making SPI s for behaviour and infrastructure Data-resources, spi-research SPI Dashboard

3 Reliability of Data 10 9 National Registration Rate Fatality/Road death Serious Road Injury (MAIS2+) 3 1

4 Towards new data-resources R.A.M. (Risk Attention Method) Aim: better insight in roadsafety in Amsterdam Re-active (registration) and pro-active (reports) infrastructure (network, route, crossing) and behaviour (seatbelt, red light, alcohol, speed, helmet) PROMEV (IPO/SWOV initiative) Objective 1: improve existing accident registration Objective 2: better usage of existing accident data Objective 3: developing new registrations Objective 4: enrichment existing data-resources Objective 5: exploration new data-resources Accident reports police (objective/re-actief) Accident reports (subjective) Enrichment dataresources traffic accidents New data-resources Safety Performance Indicators Assetmanagement current registration (BRON) (to be improved) protocol fatalities protocol seriously injured Hotline Road users - Professionals Hotline Veilig Verkeer MORA Dutch Cyclists' Union Public Transport (GVB) Self-registration hospitals (first aid) Enrichment blackspotlist/ red routes STAR/ MobielSchadeMelden -app Speed Profiles Data from traffic lights Data from camera s New Research S P I Duurzaam Veilig- Meter Riskprofiles PROMEV Applied in Amsterdam Surveillance

5 What we do know? Fatalities ( ) Remainder of NL (N=9.707) 4% 3% pedestrian 9% 46% 9% 21% bicycle light moped moped delivery van car others 6% 2% motorcycle On 50km/h roads and intersections 10 increase bicycle accidents (seriously injured) without opponent Among seriously injured with motor vehicle, 22% mopeds, pedestrians

6 Victims by mode of transport Trips % seriously injured (BRON+LMR) % seriously injured (LMR) % seriously injured with motorvehicles (BRON) % fatalities (Protocol) In 2009: approximately ,3% ( 400 yearly) 28% 11% 12% 22% 31% 56% 33% z 11% m +10 (200 per year) + 16% 27% 2% 16% 16% +8 3% 1 22% 9% -18% 8% 16% 19% 13% b.b. 6% 8% 12% 9% Other 19% 3% 6% 8% 1 Legenda: EVG = Ernstig VerkeersGewonde / in ongevallen m (met) en z (zonder) motorvoertuigen. BRON = Bestand geregistreerde Ongevallen in Nederland (politiedata) / LMR = Landelijke Medische Registratie (ziekenhuisdata)

7 Resume Focus on: Cyclists and pedestrians Light mopeds and mopeds Car drivers 50 km/h roads Single vehicle accidents

8 Use of spi s in policy making Why? Strong scientific relationship ( evidence based ) between indicator and road safety More transparancy in measures and effect From re-active to pro-active policy making Link with asset-management (network safety index) Finally, emphasis on road users personal responsibility (communication)

9 Use of spi s in policy making Infrastructure: Network Safety Index Based on road characteristics: sustainable safety principles use of public space, parking location of cyclists obstacles traffic volume public transport. Number of bottle-necks

10 Use of spi s in policy making Traffic Behaviour: The process Seriously injured Fatalities Classified in: location, type of road-users, age

11 Use of spi s in policy making The process (outcome) SPI s: Speed Driving under the influence Red light running Bicycle lighting Distraction Use of bicycle tracks

12 Use of spi s in policy making The process (output) Measures on behaviour : - Enforcement - Education - Campagnes Measures on infrastructure : - Sustainable Safety - Reduction of obstacles - Light mopeds to main carriageway - Asset-management

13 Use of spi s in policy making The process (throughput) Process Monitoring effect based on subjective and objective data Co-operation with key stakeholders (police, schools, local authorities, NGO s)

14 Use of spi s in policy making The process (input) Ambitions & Budget - Vision Zero? - Target Groups? - Road type? New Strategic Traffic Safety Plan

15 Use of spi s in policy making Data resources, research methods Subjective data from questionnaires, internet-panel Speeddata from traffic lights and counting studs, use of lasergun (light mopeds/scooters) Red light running from traffic lights and camera observation Bike lights front and rear: by observation Major concern: research design (presentable, reliable) What about driving under the influence of alcohol, medication or drugs???

16 Safety Performance Indicators [CONCEPT] % van deperformance weggebruikers Safety dat nuchter is dat wacht op groen licht Indicators datvoetganger correct voorrang verleend dat niet wordt afgeleid dat zich aan de max. OV-bestuurders Automobilist % van de weggebruikers dat nuchter is door de smartphone snelheid houdt Snorfietser datsnor nuchter is 5% brom 9 dat wacht op groen licht 75% 50 9 dat omkijkt bij oversteken of inhalen 7% dat niet wordt afgeleid door de smartphone fietst aan juiste kant geeft tijdig richting aan 9% 7% 1 88% fiets achter elkaar bij drukte 24% heeft fietsverlichting 5% 1 18% 75%88% OV-bestuurders op 1-richtingsfietspad 24% % fietsers met fietsverlichting % fietsers dat tijdig richting aangeeft % fietsers dat in de dat achter % fietsers goede richting fietst elkaar gaat fietsen bij op 1-richtingsfietspad drukte 9 75% 24% dat zich aan de max. snelheid houdt 75% 22% snor Bromfietser 59% brom 30 5% % TAXI 24% 9% dat wacht op groen licht dat zich aan de max. 9 snelheid houdt 30km/u dat zich aan desnor max. snelheid houdt (50km/u) 9% % van de taxichauffeurs dat zich aan de max. snelheid houdt (50km/u) 88% 24% 5% 88% brom 5% 99 88% TAXI Snorfietser Overige fiets % fietsers % fietsers dat achterdat in de elkaar gaat fietsen goede richting fietst bij drukte 8% 30 Fietser % fietsers dat tijdig richting aangeeft 5% brom 24% 12% 24% 9% dat omkijkt bij oversteken of inhalen dat correct voorrang 88% verleend dat niet wordt afgeleid door de smartphone snor van fietspad 88% Automobilist 9 124% dat correct voorrang verleend Bromfietser 88% Voetganger omkijkt bij oversteken of Fietser inhalen Safety Performance Indicators PMB, Infographics 22% 24% 5%

17 Thank you for your attention! questions / discussion