[update 4/11/2013 “Phoenix police announced Thursday that 30-year-old Christopher Forrest has been booked into jail on suspicion of leaving the scene of a fatal traffic collision” azcentral.com ]
Bicyclist 47-year-old Angel Hernandez-Sotelo was struck 3/8/2013 9pm, apparently while attempting to cross mid-block near 7th St/Roeser Phx by TWO vehicles; and BOTH hit-and-ran. One of the vehicle is said to be a “rental car” (should be easy to find who rented it??) and is seen on video surveillance cameras with a smashed windshield nearby where the driver left the vehicle and fled on foot.
The article didn’t say on which street the collision ocurred; 7th Street is the more-major of the two, it has two lanes in each direction (plus turn lane); while Roeser is only one lane. Speeds on 7th are generally higher.
By Chris Cole
The Arizona Republic-12 News Breaking News Team
Tue Feb 26, 2013 2:50 PM
A woman holding a child while standing on a street corner was hit by a car in Glendale Tuesday following a vehicle collision, authorities said. The driver of a car heading west on Camelback Road ran a red light and struck another car going north on 75th Avenue. The first car then hit a woman, who was standing on a corner holding a child, before driving into a canal, said Sgt. Brent Coombs, a spokesman for the Glendale Police Department. …more
Those seeking to improve the situation of bicyclists, PARTICULARLY through laws or regulations, should first consider the possibility of unintended consequences…
Helmets protect rider’s heads. Bicycle riders sometimes suffer head injuries. So it would go without saying that mandatory helmet laws would improve cyclist safety, right? Well,maybe not when substitution effects (or other human nature effects) are factored in. Mandatory helmet laws have the unintended consequence of suppressing cycling. Effects of Bicycle Helmet Laws on Children’s Injuries — by Pinka Chatterji, Sara Markowitz found children cyclist’s head injuries are down, and so are other injuries, and so is the amount of cycling; from the abstract:
we find helmet laws are associated with reductions in bicycle-related head injuries among children. However, laws also are associated with decreases in non-head cycling injuries, as well as increases in head injuries from other wheeled sports. Thus, the observed reduction in bicycle-related head injuries may be due to reductions in bicycle riding induced by the laws
More broadly, people behave differently when they are helmeted; people (drivers) around cyclists behave differently depending on whether or not the cyclist is helmeted. These are human nature effects and very hard to quantify, but exist nonetheless. Risk homeostasis affects both riders and drivers.
The azcentral.com news story was very detailed as to location, E McDowell Rd & N Granite Reef Rd (which is a.k.a. N 84th St), and direction of the bicyclist, “eastbound on the north side of McDowell Road” , and motorist, “turning right from southbound Granite Reef Road onto westbound McDowell”.
I was under the mistaken impression that : So the bicyclist was riding on the sidewalk counter-flow (not recommended, but not illegal). Unmentioned in the news story was this is a signal-controlled intersection. SOMEONE VIOLATED (or attempted to violate) THE SIGNAL. So, oddly, that relevant fact is omitted. Also the conclusion “No citations were issued to the driver” is sort of unusual; generally speaking the answer always is something to the effect of the incident remains under investigation. I realized I just made that, the part about being on the sidewalk, up. I read something into the story that was not there.
Scottdale PD clarified to me that “the bicyclist was at fault as she was riding eastbound against westbound traffic in the roadway.” This doesn’t really sit well with me; it seems much more likely she would be riding counter-flow on the sidewalk, and then entered the crosswalk… but there you have it.
ACR and ASDM
I do not have the ACR. I forget what the story is with how to get crash reports from Scottsdale. The database ASDM 2712556 more or less corroborates the newspaper account and the clarification I got from Scottsdale PIO, the only irregularities are why were there so many “OTHER” codings:
NonMotoristLocation: OTHER_97 why other?
(cyclist) UnitAction: OTHER_97 why other?
(cyclist) Lane: LANE_3 (this does indicate cyclist was in the road, as opposed to crosswalk)
JunctionRelation: INTERSECTION (this also indicates crash was not in crosswalk area, a crosswalk location should be coded as intersection_related)
(cyclist) Violation1: DROVE_RODE_IN_OPPOSING_TRAFFIC_LANE (this is inconclusive in the sense that police often use this violation for sidewalk cyclists even when not illegal)
There’s not really anywhere in the database where it’s possible to ascertain that the driver was turning right on red; though it can be inferred from the lack of a signal violation assigned to the cyclist; i.e. that’s consistent with the motorist having a red light, and having made a right-on-red.
Right on Red?
Just to brush up on the rules about making right turns on red (and, as i mentioned above, the news story only indicates that the driver was turning right, and not whether his signal was red or green); a driver must, first and foremost, stop completely; then may proceed turning right but only after yielding to “pedestrians and other traffic”. A driver who does not stop in the first place would be in violation of 28-645A(3)(a); a driver violating the right of way would be responsible for28-645A(3)(b):
(b) The driver of a vehicle that is stopped in obedience to a red signal and as close as practicable at the entrance to the crosswalk on the near side of the intersection, or if there is no crosswalk, then at the entrance to the intersection, may make a right turn but shall yield the right-of-way to pedestrians and other traffic proceeding as directed by the signal. A right turn may be prohibited against a red signal at any intersection if a sign prohibiting the turn is erected at the intersection.
Bike Lanes?
It has sometimes been suggested that the presence of bike lanes increases riding against traffic. Without drawing any conclusions: I note from the google maps that N Granite Reef Rd is a dividing line along McDowell between no bike lanes to the west (the direction the bicyclist was coming from), and bike lanes to the east (presumably where the bicyclist was going).
There was a glowing article in theatlanticcities.com with the tantalyzying headline Dedicated Bike Lanes Can Cut Cycling Injuries in Half, referring to this study, published in a peer-reviewed, albeit public health and not a transportation, journal:
The design of the study is intriguing: it’s based on randomly choosing a “control site” along the participant’s (i.e. the crash victim) route.
Cycle Tracks are NINE TIMES safer?
Undoubtedly, the incredibly safety differential of “cycle tracks” will be the main take-away. The study found them to be NINE TIMES safer compared to their reference street (essentially a “worst case”: a mulitlaned arterial with on-street parking and no bicycle facilities whatsoever). The actual result is OR 0.11 (0.02, 0.54) — that is to say Odds Ratio of about 9 times safer, compared to the reference road.
Ok, so I don’t understand a lot about statistics, but the wide range between the lower and upper confidence interval (27X) is a clue. In short there is not very much/many cycle tracks in the study, mentioned only as “despite their (cycle track’s) low prevalence in Toronto and Vancouver”. There were two reported collisions, and 10 control sites on cycle tracks (out of N=648). In the critique of the study by John Forester he found during the study period there was apparently only one cycle track, the Burrard Street bridge, in both cities — my that is a “low prevalence” — here is his take-away:
In the much more impressive cycle-track issue, the authors proclaimed enormous crash reduction without informing the readers of the two relevant facts. First, that their data came from only one installation. Second, that that installation was not along a typical city street but in the only situation in which a plain cycle track could possibly be safe, a place without crossing or turning movements by motorists, cyclists, or pedestrians…
And even regarding the Burrard Street Bridge cycle-track, the timeline seems to conflict/overlap somewhat with the study dates. According to a surprisingly detailed account on wiki a test of what sounds to be the cycle-track was “to begin in June 2009. The proposed trial began on July 13. It saw the southbound motor-vehicle curb lane and the northbound-side sidewalk allocated to bicycles, with the southbound-side sidewalk allocated to pedestrians. The reassigned lane was separated from motor vehicles by a physical barrier” The timeline of the study was for bicyclist injuries presenting to the ERs “between May 18, 2008 and November 30, 2009″.
But wait? According to this (from mid-2011, i think, the date is unclear), Tesche said there are other cycle tracks: “However, we were able to examine separated bike lanes elsewhere in the city, including Burrard Bridge, Carrall Street, and other locations that met our definition: that is, a paved path alongside city streets that’s separated from traffic by a physical barrier,” Teschke told councillors.
Some Other Things i Noticed
The highest median observed motor vehicle speed along major roads was 44kph (27mph)! This is comically low compared to what I am used to here in Phoenix. Interesting trivia answer: 27.79mph — the fastest time on record for a person running.
One-third of the incidents involved collisions with MVs. The balance were various types of falls or collisions with objects. The one-third number is pretty close to the 26% reported by another ER-based survey of bicyclist injuries ( Injuries to Pedestrians and Bicyclists: An Analysis Based on Hospital Emergency Department Data. linked here ); though this isn’t directly comparable, e.g. in the former case, mountain biking was not eligible for the the study, whereas in the latter it was any sort of injury incurred on a bike.
There was a bunch of interesting data collected in the survey (which the author’s are nice enough to give a link to) that are not in the final study. I’m not sure why. I would have been interested to see various spins on lightness/darkness vs. cyclist’s light usage.
The Injury Prevention Article
and here’s another similar article, or perhaps pretty much the same(?):
NYC Protected Bike Lanes on 8th and 9th Avenue in Manhatten
According to a report (it’s really a brochure) by NYC DOT cited by americabikes.org; these are the “First protected bicycle lane in the US: 8th and 9th Avenues (Manhattan)”…”35% decrease in injuries to all street users (8th Ave) 58% decrease in injuries to all street users (9th Ave) Up to 49% increase in retail sales (Locally-based businesses on 9th Ave from 23rd to 31st Sts., compared to 3% borough-wide)”. I don’t know if or what the data are to back up these claims. I also don’t know much about how these are structured, what was done with signals, how long these are, or how long they have been in place… here is a google street view at 9th/23rd. (these segments show up in Lusk’s May 2013 AJPH article, discussed below)
Methodology aside, though the study claims an increase in safety, it found only a modest increase: “RR [relative risk] of injury on cycle tracks was 0.72 (95% CI 0.60 to 0.85) compared with bicycling in reference streets”. I.e. a 28% reduction in crashes.
Bicycle Guidelines and Crash Rates on Cycle Tracks in the United States
Anne C. Lusk, PhD, Patrick Morency, MD, PhD, Luis F. Miranda-Moreno, PhD, Walter C. Willett, MD, DrPH, and Jack T. Dennerlein, PhD Published online ahead of print May 16, 2013; it was in the July printed edition of American Journal of Public Health. “For the 19 US cycle tracks we examined, the overall crash rate was 2.3 … per 1 million bicycle kilometers… Our results show that the risk of bicycle–vehicle crashes is lower on US cycle tracks than published crashes rates on roadways”. What are published rates? Later they say “published crash rates per million bicycle kilometers range
from 3.75 to 54 in the United States”. The first number is footnoted to Pucher/Irresistible (which is discussed and linked here), and the second to, if you can believe it, a study of Boston bicycle messengers (Dennerlein, 2002. I haven’t bothered to look that one up). In Pucher, it’s in Fig 10 where they quote US injuries at 37.5 per 10 million km for the period 2004-2005, sourced to US Department of Transportation (2007), which is/are Traffic Safety Fact Sheets according to the footnotes. Pucher does, um, mention that injury rates comparisons across countries are particularly suspect; Figure 10 would lead on to believe the UK and US have similar fatality rates, whereas US injury rates are quoted as SEVEN TIMES higher. (Pucher’s claim/point is that NL and DK are very safe, while US and UK are very dangerous). In any event TSF does not list injury rates per unit of travel, only number of injuries, e.g. TSF 2005 quotes 45,000 injuries (these are presumably some sort of statistical estimate?). To get the rate estimates, he uses one of the surveys (household trans survey?).
Paul Schimek gathered data on the 19 cycletracks listed in table 3; he added another column “intersections per km” and sorted them into two groups, 1) Urban Side Paths and 2) Side Paths with Minimal Crossflow. And as would be predicted by traffic engineering principles, the former had very high (7.02) versus the latter which had very low (0.57) crashes per 1 Million bicycle kilometers. The published letter-the-editor of AJPH is available in full on pubmed (or draft version on google docs) which is well worth reading. He, by the way, provides an estimate for whole US bike crashes at 3.5 per 1M bike km’s; which fits rather nicely between the high/low cycletrack numbers. The bottom line is that the AASHTO guidelines (which prohibit the on-street barriers; but permit bicycle paths adjacent to the roadway where there is “minimal cross flow by motor vehicles”) , contrary to Lusk’s assertions, are well-founded. This blog post at bicycledriving.org also discusses the same AJPH article, with links to both Schimek’s published letter, and Lusk’s published response. This is wrapped up in an article the Paul wrote A Review of the Evidence on Cycle Track Safety, Paul was kind enough to send me draft copy dated October 10, 2014.
Oh, and here is John Forester’s review of Lusk’s May AJPH article. In summary, Forester says “This review does not evaluate Lusk’s method of calculating car-bike collision rates. However, the cycle tracks with high collision rates are all in high-traffic areas with high volumes of crossing and turning traffic, while the cycle tracks with low collision rates are all in areas with low volumes of turning and crossing traffic. That is what should be expected, but it says nothing about any reduction in collisions that might have been caused by the introduction of cycle tracks. The data of this study provide no evidence that cycle tracks reduce car bike collisions”.
What about Davis, CA?
Sycamore Lane Experiment:1967 parking-protected cycletrack, Davis, California (Photo: Bob Sommer)
The article/thesis paper Fifty Years of Bicycle Policy in Davis, CA 2007
Theodore J. Buehler has a deep history. Davis, home of course to UC Davis, installed and compared designs including what we would now call a cycle track in the late 1960’s as “experimental” designs, (emphasis added):
Lane location relative to motorized traffic
The early experiments included three different types of bike facilities (see examples at the top of this section):
bike lanes between car lanes and the parking lane (Third St.),
bike lanes between the parking lane and the curb (Sycamore Lane), [what we now call a cycle track, or protected bike lane]and
bike paths adjacent to the street, between the curb and the sidewalk (Villanova Ave.).
… The on-road lanes worked best, the behind-parking lanes were the worst, and the adjacent paths were found to work in certain circumstances.
Perhaps telling, perhaps not, I have archived the .pdf referenced above as I can no longer find it on the bikedavis.us website. There is a similar version of Buehler’s paper that was published through TRB with the same title (but with a co-author, Susan Handy); its conclusions are worded somewhat differently; instead of best and worst, they just say “Eventually all lanes were converted to the now familiar configuration of the bike
lane between the moving cars and parked cars” without saying why.
Notations from the City of Davis website says (retrieved 1/19/2017. Emphasis added):
Sycamore Lane Experiment: This 1967 bike lane used concrete bumpers to separate parked cars from the bike only lane. The parked cars screened the visibility of bicyclists coming into intersections and cars would unknowingly drive into the bike lane. This bike lane design was eventually abandoned.
The 1967 separated bike lanes on Sycamore Lane didn’t prevent conflicts with turning vehicles. Today at this intersection there are special bike-only traffic signals that provide cyclists their own crossing phase. These innovative bicycle signals were the first of their kind to be installed in the United States.
2012 Teschke: Route Infrastructure and the Risk of Injuries to Bicyclists: A Case-Crossover Study
Selection bias: uses comparison streets instead of a before-after situation; study claims greatly increased safety on cycle tracks, but the cycle tracks chosen for the study were not representative of a typical cycle track, in that all were on roads with limited or nonexistent road intersections. It is not surprising that bicycle facilities that have little or no possibility of interaction with motor vehicles are safer than those that have many such possibilities, and if all bicycle tracks were completely separated from turning and crossing traffic, they would indeed be safer than cycling on the road. The problem is, cycle tracks with few road intersections are very rare indeed.
2011 Lusk: Risk of Injury for Bicycling on Cycle Tracks Versus in the Street (Montreal, Canada)
The infamous Lusk study. Selection bias: study claims increased safety on bicycle specific infrastructure, but its street comparisons are flawed – the streets compared were in no way similar other than their general geographic location. Busy downtown streets with multiple distractions per block were twinned with bicycle tracks on quieter roads with fewer intersections and fewer distractions..
* Only 40% of bicyclist injuries were due to moving motor vehicles (data are from emergency department visits).
* 12% of injuries were due to non-moving motor vehicles. These include dooring, but it is not presented separately. The figure rises to 20% of injuries on “major-roads.” They do not separate roads with and without on-street parking.
* Ordinary bike lanes appear to reduce risk BUT the presence or lack of on-street parking may be a confounding factor. The risk reduction is only AWAY from intersections. At intersections there was a 4-fold increase in risk (but not enough data to be statistically significant).
* Further, there was no evidence that bike lanes reduce the risk of collision with moving motor vehicles (see Table 6).
* There were only 18 injuries on one-way PBLs, which was not enough to determine how they affect risk EXCEPT that there was enough to say that they increase the risk of bike-ped injuries.
* Even with only 21 injuries on two-way PBLs, there was enough evidence to show that they increase risk by an order of magnitude, specifically collisions with bicyclists and pedestrians (Table 6).
The study is yet more evidence that looking at motor vehicle crash statistics (which ignore incidents not involving mvs) will not give a true picture of the safety effects of bike facilities.
.
Why cities with high bicycling rates are safer for all road users
Another Marshall and Ferenchak study Why cities with high bicycling rates are safer for all road users; was commented on in this letter by Paul Schimek. In the study, F&M claim safety-in-numbers was not shown, but that “Better safety outcomes are instead associated with a greater prevalence of bike facilities – particularly protected and separated bike facilities”. Schimek observse that they mixed “trails” (off-street paths removed from roadways) with true protected and separated bike facilities. He also points out “Third, a significant p-value does not imply a causal relationship. With 112,918 observations, it is not difficult to find coefficients that pass conventional significance tests”. (is that “p-hacking“?). As well as some other observations.
The headline number, “up to 53 percent” reduction presumably comes from Table 66. p.104 CMFs for converting to an SBL; Before condition: Traditional or flush buffered bicycle lane / After condition: SBL with flexible posts CMF 0.468 (i.e. a reduction of 52.8%) along with some statistical significance factors.
The “53% reduction” touted by the FHWA is flawed and/or misleading… the report specifically excludes intersection crashes entirely, and only looks at segments between… this rather remarkable fact isn’t well-publicized — notably it’s not mentioned in the abstract, which is the only thing most people read(!) — here is what the report states
… The second challenge is the inconsistent nature of SBL applications, particularly at approaches to intersections. Initially, the research team hoped to develop CMFs for segments and intersections, but their attempts to model intersections and/or entire corridors were unsuccessful. Consequently, the team focused on developing robust CMFs for segments. Future work may be to conduct research that estimates the safety effect of the various types of SBL-to-intersection transitions.
— p.104 “Future Research” in the full report
This was confirmed by email with one of the authors, who stated:
We did a quick check on the intersection-related crashes to develop CMFs for intersections as well. But since it was out of the scope of the project and because of the funding restrictions, we could not extensively explore intersection-related crashes. Depending on the availability of resources, we might analyze intersection crashes as well in the future.
The report doesn’t seem to have any data with regard to bicyclist crashes/falls with or caused by the vertical element (whether it be a bollard, flexpost, parked car or whatever); these crashes are known to happen but are not reportable as traffic crashes, and as such are a known unknown that we really need the answers to before putting up barriers everywhere (on urban streets).
Keri Caffrey of cyclingsavvy has a longer critique, which is, as usual, loaded with excellent graphics depicting common crash scenarios; here’s the crux of it:
The FHWA document states that 1/3 of Killed/Serious Injury (KSI) crashes are caused by overtaking motorists. In the data from the Orlando Metro area, overtaking crashes accounted for 10% of KSIs and overtaking in bike lanes was 2.1% of KSIs (14 crashes in 7 years). The percentages for overtaking KSIs will certainly be higher when adding rural roads to the dataset. Overtaking crashes are worse on rural roads. But that’s not where they’re wanting to put separated lanes.
Which is to say, real-world metropolitan crash data varies dramatically from overall averages; the places where the SBL projects are being proposed are mostly or virtually all distinctly metro/urban settings. An SBL, at best, reduces the mid-block crashes where a driver drifts into a (an UN separated) BL and KSIs a bicyclist. And worse yet, is the junctions (both intersections and driveways) can introduce new crashes — and remember, the referenced study EXCLUDED intersection crashes
Related and by the way, I had a lot of trouble finding the “Green Lane Project” spreadsheet, lots of dead links, which is referenced in the FHWA report:
The article looks at the uncomfortable truth in Arizona traffic crash stats — that ped rates appear to have gotten worse even as MV rates have fallen (see ‘Disturbing Trend?’ here). The article neglects to mention that Arizona trends worse than average in overall (overall US; and overall counting motorist, pedestrian and bicyclist) traffic fatalities.
Why is Phoenix Dangerous by Design? As I pointed out when the 2010 Arizona statistics came out: “there were more bicyclists killed within the City of Phoenix (9) than were killed in the entire state of Massachusetts(6)”; it appears that Arizona/Phoenix values building out more ultra-wide (lots of lanes), ultra-fast (speeds 40mph AND UP). These car sewers are not conducive to human life; and that goes for not only pedestrians but for bicyclists and motorists as well. This is also the gist of the paper/article Beyond Safety in Numbers: Why Bike Friendly Cities are Safer.
There’s a bit of undertone from certain parties that this is largely a pedestrian problem, e.g. Phoenix police spokesman James Holmes said. “Lots of accidents are midblock”. There are a couple of problems with this attitude — one is that with long blocks (the norm on Phoenix’s arterial streets), traffic both speeds up, and there is simply more mid-block (that is to say, it becomes increasingly unreasonable for a pedestrian to walk out of their way to a crosswalk).
Setting all that aside, reading on we find that (only)” Thirty percent of the fatal pedestrian collisions in 2010 were the result of the pedestrian not using a crosswalk”, and “In 49 percent of the fatal collisions, the driver was not at fault”. Which is to say: 70 percent of peds in collisions were using a crosswalk, and right around half the time the ped is at fault (even under the laws, that clearly fault peds over motorists, particularly at mid-block), and the other half the time the motorist was at fault.
The WSJ did a “special section” on innovations in transportation; and the largest piece was about autonomously driven vehicles and how that might play out in the (not so distant) future. I was sort of surprised at the slant/tone of the lead article, written by Dan Neil, the Journal’s “car guy”:
The cost of automobile accidents in the U.S. (measured in death, disability, health care and property loss) totals $300 billion annually, according to AAA estimates. The cost of traffic congestion (lost productivity, wasted petroleum, among other factors) AAA reckons at about $100 billion. Taken together, the costs of automotive death and delay equal 2.6% of GDP [plus many more negative externalities of automobile use; pollution, enforcement, etc, etc]. Our new robot chauffeurs can help… Continue reading “Who’s Behind the Wheel? Nobody.”
Much to the chagrin of the small group of individuals who run the Arizona legislature; it’s been discovered that ADOT (yes, the ARIZONA dept of trans) has routinely been allowing cities to install and use photo enforcement along state highways that run through their jurisdictions. ADOT appears to be following a common sense approach to allowing them: “ADOT has generally given cities and towns permission to install photo-enforcement cameras on state rights of way where the municipality takes the lead on enforcing traffic laws and responding to emergencies”. We can look forward to polictical pressure on ADOT to deny all requests.
In 2010, the (Arizona State) DPS (Dept of Public Safety — i.e. the state police) in what was presumably a politically-motivated decision by Brewer’s appointee, ended all use of cameras along state freeways.
We can look forward to this group of legislators, once again (click here for a roundup of last session’s half-dozen bills), spending an inordnate amount of legislative energy into preventing cities and towns from enforcing traffic laws. Their claim is they actually support enforcement; they just prefer it be done live and in person. This is, of course, disengenous — they know that the costs involved in putting additional sworn officers out on the street is horrendously high, and oh by the way, they (the legislature) don’t have any money to help do so. Continue reading “More AZ photo enforcement politics”
In summary: The overall traffic death toll bounced up after several years of significant declines. The number of fatalities is up 9% year-over-year, despite a 3% decrease in the number of crashes.
Year over year: ped injuries and fatalites were nearly flat; bicyclist injuries were also nearly identical. There were 23 cyclists killed in 2011 (versus 19 in 2010)
Here’s a news piece: azcentral.com/news/articles/20120816arizona-road-deaths-increase It has a graph of fatals per 100million VMT which appears to be drawn wrong; for example line chart shows Arizona’s virtually on top of the overall-US figure for 2009, and 2010 but that’s not correct; although in recent years Arizona has been closing the gap, it remains markedly higher than overall-US:
Seriously? Seriously how often does this happen? — apparently with alarming regularity. In June a man was killed as he stepped foot outside the front door of a Sun City CVS by an out-of-control driver. Rene Karlin was killed last August while jogging in her Ahwatukee neighborhood when a driver jumped the curb. Drivers routinely mount the curb nearby my neighborhood after losing control and knocking down walls. Randy and Doris Bjerken were both killed walking on a Scottsdale sidewalk in May of last year as an SUV jumps the curb and wipes them out. In November of 2010, gifted plastic-surgeon and “top-doc” Richard Parvese was killed while walking on the sidewalk near his home in Paradise Valley…. I could go on. This is just a roundup of a handful of egregious incidents from the past year or two, and just the ones i know about; I’m sure there are many more, just around the Phoenix area.
A 32-year-old man was hospitalized Sunday [8/12/2012] morning after being struck by an impaired driver. David Kerhoulas, 25, was booked into the Maricopa County Fourth Avenue Jail for Aggravated Assault and Endangerment, about 10:20 a.m., Sunday. Sgt. Trent Crump, a spokesman for the Phoenix Police Department, said Kerhoulas hit a man after driving over a curb and onto a sidewalk, near the 11000 block of North 7th Street, at about 7 a.m. He also nearly hit another pedestrian, Crump said. It is unknown how the driver was impaired. “The actual drug will be determined by blood or alcohol testing which can take some time,” Crump said. The investigation is ongoing.
A man steps out the front door of his local CVS and gets mowed down on the sidewalk. Dead. One of the news reports said police believe the un-named female driver mixed up the gas and brake pedals. oops.
by Jane Lednovich – Jun. 27, 2012 10:07 AM The Arizona Republic-12 News Breaking News Team
A 69-year-old man was pronounced dead after he was struck by a car Wednesday morning in Sun City, a Sheriff’s Office official said.
The four-door sedan was making a U-turn in the parking lot of a CVS pharmacy near 107th Avenue and Bell Road about 8 a.m., authorities said.
The car drove onto the curb in front of the store and ran over the man, pinning him under the front wheel of the car, Maricopa County Sheriff’s spokesman Sgt. Brandon Jones said.
The sedan hit a parked car after striking the man, Jones said. Firefighters used airbags to lift the sedan and get the man out, but paramedics were unable to revive him, Jones said.
Witnesses told authorities the man was unresponsive while he was trapped under the car. It is unclear how long he was trapped. The CVS store is closed while officials investigate the scene, Jones said.
yourwestvalley.com has a picture showing the silver car that struck the ped at rest on the sidewalk; along with a red car that was also struck.
SUN CITY, AZ (CBS5) – A man has been killed after he was hit by a car while walking out a CVS pharmacy in Sun City, according to authorities. Sgt. Brandon Jones with the Maricopa County Sheriff’s Office said preliminary reports are that a woman driving a tan vehicle was heading eastbound in the parking lot Wednesday morning when she decided to make a U-Turn and accidentally hit the gas instead of the brakes, causing the car to accelerate. The vehicle ran over a 69-year-old man and hit a red car parked in the lot. Jones said officers found the man trapped under the tan vehicle about 20 feet from the front doors of the CVS. Once the man was pulled from under the vehicle, he was pronounced dead. The driver of the red car was not hurt. Jones said the driver of the tan vehicle has not been charged at this point. Investigators said they do not believe alcohol or drugs were a factor.
Reporting Motor Vehicle crashes
There are a bunch of rules about when traffic crashes must be reported. This bears on how collision and injuries get measured and reported for statistical purposes.
Arizona Statutes
There are statutes that spell out, at a minimum, what all law enforcement agencies in Arizona must report on, reports must be filed with “the Department” (i.e. ADOT). ADOT then collates and tablulates this data — see adot-traffic-collision-database. Somehow or other ADOT forwards this the feds for national statistical purposes, for example, in the case of fatalities see FARS.
ARS §28-667 Written accident report; definition says that any “law enforcement officer or public employee who, in the regular course of duty, investigates a motor vehicle accident resulting in bodily injury, death or damage to the property of any person in excess of one thousand dollars or the issuance of a citation shall complete a written report of the accident” (667A) and that the agency employing the officer “Shall immediately forward a copy of the report to the department of transportation for its use” (667C5). Continue reading “Do all Crashes “Count”?”
ACIS — Arizona Crash Information System; was ASDM?
It turns out (who knew?) that ADOT sells their crash database for a nominal sum. I purchased the 2010 version, the latest full-year available (2011 is supposed to be ready in July). This data is either similar to (or synonymous with) something referred to as the Arizona (or ADOT?) Safety Data Mart — thus the acronym asdm sprinkled throughout. Continue reading “ADOT Traffic Collision Database”
There are a couple of places on the ACR form for NCIC numbers. That stands for National Crime Information Center; and the actual number in question apparently is called an Originating Agency Identifier (ORI) and it’s keeper is the FBI. Below I will refer to this number only as the “NCIC number”.
It is plain to see that some of it is easily verifyable and correlates to any of the “big” cities/jurisdictions: Phoenix PD is 0723, DPS is 0799, Tucson PD is 1003, etc. Beyond a couple of dozen, though, things get pretty sketchy.
Of more interest is the meaning of the distinction between data fields ExtendedNcic, and OfficerNcic — the field on the ACR is marked simply NCIC No. (Block 1e), which i imagine maps to ExtendedNcic; however I can’t find a block on the ACR that might correspond to OfficerNcic. They are usually, but by no means always, the same. There’s another thing called Officer ID No., Block 1f, but that maps to OfficerID in table incident.
This info is also in my famous catch-all spreadsheet adsm.xls; and will undoubtedly either turn into enumerations, or probably its own table.
Arizona NCIC Numbers
National Crime Information Center number is a code that uniquely identifies each law enforcement agency. Numbers are assigned by the Federal Bureau of Investigation. (See pages 66 through 68 [of the year 2000 version of AZ Crash Manual] for a complete list of Arizona NCIC Numbers.)
ExtendedNcic, OfficerNcic’s value/count data from ADOT safety data mart year 2010. Agency name list from pages 66 -68 of the year 2000 version of AZ Crash Manual
ExtendedNcic
OfficerNcic
From 2000 AZ Crash Manual
value
count
value
count
agency name
value
100
474
100
40
Apache County S.O.
100
101
28
101
28
Eagar
101
103
18
103
18
St. Johns
103
105
12
105
10
Springerville
105
Whitemountain Apache Res. (Apache)
162
189
73
Navajo Reservation (Apache)
189
200
693
200
224
Cochise County S.O.
200
201
89
201
55
Benson
201
203
4
203
1
Bisbee
203
205
41
205
37
Douglas
205
207
7
207
8
Huachuca City
207
209
756
209
763
Sierra Vista
209
211
1
Tombstone
211
213
39
213
32
Willcox
213
300
1539
300
223
Coconino County S.O.
300
301
1909
301
1762
Flagstaff
301
302
1
Hualapai Reservation (Coconino)
302
303
6
Fredonia
303
307
97
307
43
Williams
307
308
21
308
21
Page
308
310
195
310
197
Sedona
310
Hopi Reservation (Coconino)
365
389
34
Navajo Reservation (Coconino)
389
Northern Arizona University
397
400
484
400
134
Gila County S.O.
400
401
172
401
178
Globe
401
403
2
403
1
Hayden
403
405
13
405
13
Miami
405
406
142
406
139
Payson
406
407
1
489
4
Winkelman
407
Whitemountain Apache Res. (Gila)
465
San Carlos Reservation (Gila)
489
500
124
500
38
Graham County S.O.
500
501
3
Pima
501
503
105
503
95
Safford
503
505
45
505
49
Thatcher
505
San Carlos Reservation (Graham)
562
600
60
600
13
Greenlee County S.O.
600
601
6
601
3
Clifton
601
603
4
Duncan
603
700
5242
700
3036
Maricopa County S.O.
700
701
1044
701
890
Avondale
701
703
405
703
256
Buckeye
703
704
56
Cave Creek
704
705
3516
705
3007
Chandler
705
707
321
707
311
El Mirage
707
709
20
Gila Bend
709
711
2378
711
2250
Gilbert
711
713
4822
713
4492
Glendale
713
715
939
715
635
Goodyear
715
Ft. McDowell Reservation
716
717
6130
717
4744
Mesa
717
719
193
719
131
Paradise Valley
719
721
2237
721
1855
Peoria
721
723
29065
723
21442
Phoenix
723
725
3529
725
3329
Scottsdale
725
727
1027
727
904
Surprise
727
729
6659
729
4084
Tempe
729
731
366
731
237
Tolleson
731
733
93
733
89
Wickenburg
733
735
13
Youngtown
735
739
300
Guadalupe
739
744
3
753
41
755
116
756
97
Fountain Hills
756
760
15
Carefree
760
Gila Bend Reservation
762
Tohono O’Odham Res. (Maricopa)
763
Gila River reservation (Maricopa)
764
789
1
Salt River Reservation
789
Arizona State University
797
799
25587
Dept. of Public Safety
799
800
1140
800
326
Mohave County S.O.
800
801
537
801
478
Kingman
801
804
629
804
632
Hualapai Reservation (Mohave)
802
805
683
805
684
Lake Havasu City
804
806
18
806
18
Bullhead City
805
Colorado City
806
Kaibab-Paiute Reservation
860
862
3
Ft.Mohave Reservation
862
900
647
900
141
Navajo County S.O.
900
901
60
901
41
Holbrook
901
902
19
Hopi Reservation (Navajo)
902
903
164
903
167
Show Low
903
905
64
905
81
Snowflake
905
907
19
Taylor
907
909
134
909
117
Winslow
909
913
118
913
124
Pinetop/Lakeside
913
962
72
Navajo Reservation (Navajo)
962
989
2
Whitemountain Apache Res. (Navajo)
989
1000
4424
1000
3324
Pima County S.O.
1000
1001
70
1001
69
South Tucson
1001
1003
9718
1003
9058
Tucson
1003
1004
192
1004
157
Sahuarita / Green Valley (both same code??)
1004
1007
454
1007
462
Oro Valley
1007
1009
916
1009
679
Marana
1009
San Xavier Reservation
1062
1089
220
Tohono O’Odham Res. (Pima)
1089
1097
117
University of Arizona
1097
1100
1779
1100
703
Pinal County S.O.
1100
1101
853
1101
796
Casa Grande
1101
1103
172
1103
179
Coolidge
1103
1105
149
1105
97
Eloy
1105
1107
81
1107
111
Florence
1107
1109
5
1109
4
Kearney
1109
1111
4
1111
4
Mammoth
1111
1112
2
1112
1
Superior
1112
1113
417
1113
377
Apache Junction
1113
1117
215
1117
211
1164
7
Tohono O’Odham Res. (Pinal)
1164
Maricopa Reservation
1165
1189
345
Gila River Reservation (Pinal)
1189
Central Arizona College
1197
1200
294
1200
75
Santa Cruz County S.O.
1200
1201
342
1201
313
Nogales
1201
Patagonia
1203
1300
1378
1300
283
Yavapai County S.O.
1300
1301
1
1301
1
Clarkdale
1301
1303
244
1303
237
Cottonwood
1303
1305
6
1305
5
Jerome
1305
1307
760
1307
749
Prescott
1307
1311
539
1311
536
Prescott Valley
1311
1312
87
1312
87
Chino Valley
1312
1313
92
1313
72
Camp Verde
1313
1314
1
1358
11
Hualapai Reservation (Yavapai)
1363
1400
716
1400
484
Yuma County S.O.
1400
1403
26
1403
31
Somerton
1403
1405
1891
1405
1849
Yuma
1405
1407
7
Wellton
1407
1408
137
1408
139
San Luis
1408
1410
5
1497
1
Arizona Western College
1497
1500
330
1500
32
La Paz County S.O.
1500
1501
33
1501
31
Parker
1501
1503
35
1503
18
Quartzite
1503
Colorado River Reservation
1506
Sums →
106301
106301
Below are listed Federal Parks and Monuments, and US Military – it is not clear how, or even if, these codes (from 2000) map to the Adot data, which is all numeric; and perhaps doesn’t even cover “federal” investigations?
Traffic Unit #1 is the vehicle, pedestrian, pedalcycle that caused the collision or was most at fault.
Police determine or decide who is most at fault, by assigning #1 to that person/operator when filling out the Arizona Crash Report; note that there is no defined way to indicate that investigators find it impossible to determine fault; there must be a unit #1.
(The stats quoted can be found in this comment below)
It can be illuminating to study who, the bicyclist or the motorist, was most at fault (MaF) in a Bike-MV collision. All things being equal, we would expect a 50:50 split, because in the vast majority of collisions there is one bicycle operator, and one MV operator.
The MaF data is available in the yearly collision database from ADOT, a.k.a. the ASDM; the vehicle/person/bicyclist listed as Unit #1 is always the MaF, in the determination of the investigating officer.
Reassuringly, overall the MaF rates are indeed fairly close to 50:50 — for example, the seven year period 2009-2015 the split was 51:49, indicating bicyclists were every so slightly more likely to be found at fault that the driver they collided with. Deviations from this nominal rate might indicate something is amiss; perhaps bicyclists in one community are more likely to break the law, or perhaps police are misinterpreting laws in someone’s favor…
The NCICs associated with the city of Phoenix has a particularly high bicyclist MaF rate: e.g. 68% in 2010 — compare this to, e.g. Scottsdale where it was only 48%. I find it pretty unlikely that bicyclists in Phoenix behave significantly different than Scottsdale; though without looking at a lot of ACRs it’s not possible to tell. On the other hand, 2010 seems to have been anomalously high that year, 2011 and 2012 were 61 and 60%, respectively; so perhaps just a data glitch. On the other hand Tempe, at 68% in 2012, and seems persistantly somewhat high. Yuma, a small city, had a persistently very high bicyclist MaF rate, as high as 80%!, this may be changing after the local ordiance restricted & clarified sidewalk use rules in 2015.
Here are some queries; note that similar results are used using either OfficerNcic as ExtendedNcic. The first is very fancy, computing the percentages and everything!
SELECT sum(atfault)/count(1), Name, sum(atfault), count(1) FROM LOVNcic, (SELECT ExtendedNcic, u.eUnitType='PEDALCYCLIST' atfault FROM 2012_incident i, 2012_unit u WHERE i.IncidentID=u.IncidentID AND EXISTS (SELECT 1 FROM 2012_unit u2 WHERE u2.IncidentID=i.IncidentID AND u2.eUnitType='PEDALCYCLIST') AND UnitNumber=1) x WHERE ID=ExtendedNcic GROUP BY ExtendedNcic HAVING count(1)>20 ORDER BY 1;
Here is how to select the total number of bike crashes by ncic, and then the number of those where bicyclist is MaF
SELECT ExtendedNcic,count(1) FROM 2012_incident i WHERE EXISTS (SELECT 1 FROM 2012_unit u WHERE u.IncidentID=i.IncidentID AND u.eUnitType IN ('PEDALCYCLIST')) GROUP BY 1 ORDER BY 1 ASC;
SELECT ExtendedNcic,count(1) FROM 2012_incident i WHERE EXISTS (SELECT 1 FROM 2012_unit u WHERE u.IncidentID=i.IncidentID AND u.eUnitType IN ('PEDALCYCLIST') AND u.UnitNumber=1 ) GROUP BY 1 ORDER BY 1 ASC;