Category: Change

Rambling about automobile crash data and cellphone distraction

October 4, 2011 / / 0 Comments

How often do bicyclists get involved with crashes because of cellphone distraction? See the table below. And how many crashes are caused by the bicyclist being distracted by a cellphone? We won’t and don’t know. 

The Chicago City Council will vote tomorrow on ordinance 02011-7146 to add a new section in Chapter 9 of the Municipal Code of Chicago: “9-52-110 Use of communication devices while operating a bicycle.”

In a Chicago Sun-Times article today, Matthew Tobias, the Chicago Police Department’s deputy chief of Area 3 patrol, reported on the number of citations that the department has issued to drivers in violation of the cellphone ban: “from 2,577 administrative violations in 2008 to 10,920 in 2009 and 19,701 last year” (known as “citations issued” in the table below).

I looked at the crash data to see how many crashes were coded as having been caused by “Distraction – operating an electronic communication device (cell phone, texting, etc)”.

Out of 274,488 recorded crashes in 2008, 2009, and 2010, there were 331 crashes which had a Cause 1 or Cause 2 of “Distraction – operating an electronic communication device (cell phone, texting, etc)”. The table below compares the rates of crashes to the rates of citations issued and the number of crashes that the police noted were caused by cellphone distraction. It also shows the number of these “cellphone distraction” crashes that involved bicyclists and pedestrians.

Year Citations issued Automobile crashes Cellphone distraction crashes % of cellphone distraction crashes Involved with bicyclists? Involved with pedestrians? National VMT (billions)*
2008 2577 111,701 91 0.081 3 10 2973.47
2009 10920 81,982 130 0.159 1 7 2979.39
2010 19701 80,805 110 0.136 6 8 2999.97

Maybe this data shows that the increased enforcement is causing fewer crashes?
However data for cyclists’ involvement in crashes and their cellphone use WON’T BE recorded unless there’s a rule change as the cause is only recorded for the vehicle involved in the crash, and bicycles are devices, not vehicles.

None involved fatalities.

*Yep, that’s 2 thousand billion. Read it like this, 2 trillion 973 billion and 470 million. VMT data from Bureau of Transportation Statistics.

Video tour of Open Streets

October 3, 2011 / / 0 Comments

What is Open Streets?
It’s when a street is closed to cars and transformed into a safe place for fun and recreation. Read more on Grid Chicago.

Filmed by Steven Vance while sitting on the cargo deck of a Larry vs. Harry Bullitt, John Player Spezial. Cycling by Brandon Gobel, Bullitt owner.

Filmed with a handheld Sony DSC-HX5V. Edited with Adobe Premiere Pro CS5.

Are protected bike lanes going in the right places?

September 29, 2011 / / 0 Comments
Bike crash map of Ogden, Milwaukee, Chicago

Common bike-car crash locations in West Town. The bottom blue circle identifies Ogden/Milwaukee, where there is a yellow trap for northbound, left-turning motorists (from Milwaukee to Ogden) that makes them run into southbound bicyclists who have a green light.

My contribution to a discussion on The Chainlink, Are protected bike lanes going in the right places?

Kelvin, Milwaukee/Ogden/Chicago is the intersection along Milwaukee Avenue with the highest number of bicycle crashes. I created this table and map to show them, using data from 2007-2009.

The blue rings on the map are called, in GIS parlance, “buffers” and are circles used to select things (in this case, bike crashes) within a certain distance of the circle center. In this map I used 50 feet radius buffers (100 feet diameter). While this distance encompasses the intersection from center to all four curbs, it doesn’t encompass the crashes that happened just outside the buffer that were still most likely influenced by the intersection (like drivers’ turning movements).

I am working on a project with three friends to create a better map and “crash browser”. I mentioned it in the last story on Grid Chicago in this post. For this project, we are using 200 feet radius (400 feet diameter) buffers to ensure we encompass the entire intersection and the area in which it still has an effect. This also grabs the bike lane “pinch points”, places where a bike lane doesn’t start until 100-200 feet beyond the intersection.

I am also concerned with the strategy and approach CDOT is using to choose locations. It’s not transparent; at MBAC, CDOT said they were choosing locations “without controversy and that could be implemented quickly”.

Read more about Kinzie Street, Chicago’s first protected bike lane, and my other thoughts on protected bike lanes. 

Introduction to DIY bike ridership research

September 20, 2011 / / 0 Comments

A lot of people ask me how many people are out there bicycling.

“Not a lot”, I tell them.

And I explain why: the primary source of data is the American Community Survey, which is a questionnaire that asks people questions about how they got to work in a specific week. (More details on how it does this below.) We don’t have data, except in rare “Household Travel Surveys”, about trips by bike to school, shopping, and social activities.

It’s comparable across the country – you can get this data for any city.

Here’s how:

  1. Visit the “legacy” American FactFinder and select American Community Survey, operated by the United States Census Bureau.
  2. Select 2005-2009 American Community Survey 5-Year Estimates (or the latest 5-year estimate). This is the most accurate data.
  3. In the right-side menu that appears, click on “Enter a table number”.
  4. In the new window, input the table number ” S0801″ (“Commuting Characteristics by Sex”) and submit the form. The new window will close and the other window will go to that table.
  5. Now it’s time to select your geography. In the left-side menu, under “Change…” click on “geography (state, county, place…)”
  6. In the window to change your geography, select “Place” as your “Geographic Type”.
  7. Then select the state.
  8. Then select your city and click “Show Result”.
Notes:
  • This data shows all modes people take to work, who live in that city. It’s highly probable that people are leaving the city to their jobs on these modes. For example, someone who lives in Rogers Park may ride their bike to work in Evanston.
  • The URL is a permanent link to this dataset. Each city has a unique URL. You should save these as bookmarks so you can easily reference the data later.
  • The question on the survey doesn’t allow multiple choices: “People who used more than one means of transportation to get to work each day were asked to report the one used for the longest distance during the work trip”.

Policy insights for Moving Design

August 29, 2011 / / 0 Comments

I’ve collected into a single website all seven of the policy insights I gave at Moving Design in July and August 2011 about bicycling and planning.

Policy Insights

If I had an actual photo of me giving a policy insight to 40+ designers, the facilitators, and Rick Valicenti, I would post it here. Instead, here’s what Rey Colón looks like talking about policy and planning and our Bike/Walk35 presentation, and me listening.