Tag: data

Frequency of Chicago women riding their bikes to work is down

UPDATE: I added data from years 2005-2007 to complement existing 2008-2009 data in Table 1 as well as a visual representation. I have also added data from the 3-year estimates to Table 2.

UPDATE 01/20/11: Added the most recent 3-year estimate that the Census Bureau released in January 2011 to Table 2.

In September 2009, I wrote about “what the Census tells us about bicycle commuting” and a couple of days ago I compared Chicago to Minneapolis and St. Paul.

I want to update readers on the changes between the 1-year estimate data reported in that article (from 2008) and the most recent 1-year estimate data (from 2009). Percentages represent workers in the City of Chicago aged 16 and older riding bicycles to work.

Table 1 – Bicycling to work, 16 and older, 1-year estimates

Year Total MOE Male MOE Female MOE
2005 0.7% +/-0.1 0.9% of 621,537 +/-0.2 0.4% of 541,013 +/-0.1
2006 0.9% +/-0.2 1.2% of 645,903 +/-0.3 0.7% of 563,219 +/-0.2
2007 1.1% +/-0.2 1.4% of 656,288 +/-0.3 0.7% of 574,645 +/-0.2
2008 1.0% +/-0.2 1.5% of 657,101 +/-0.3 0.5% of 603,640 +/-0.2
2009 1.1% +/-0.2 1.8% of 651,394 +/-0.3 0.4% of 620,350 +/-0.1

View graph of Table 1. MOE = margin of error, in percentage points.

We should be concerned about the possible decrease in the percentage of women riding bicycles to work, especially as the population size increased. The margin of error also decreased, thus suggesting an improvement in the accuracy of the data. There have already been many discussions (mine, others) as to why it is important to encourage women to ride bicycles and also what the woman cycling rate tells us about our cities and policies. If the decrease continues we must discover the causes.

But Table 1 doesn’t tell the full story.

As Matt points out in the comments below, the number of surveys returned for 1-year estimates is smaller than that from the Decennial Census. Therefore, I took a look at the two 3-year estimates available, each having a larger sample size than the 1-year estimates (see Table 2). The data below seem to show the opposite change than seen in Table 1: that the number of women bicycling to work has increased. The crux of our quandary is sample size. The sample size is the number of people who are asked, “How did this person usually get to work LAST WEEK?”

Table 2 – Bicycling to work, 16 and older, 3-year estimates

Click header for data source 2005-2007 2006-2008 2007-2009
Total workers 1,203,063 1,230,809 (+2.31%) 1,291,709 (+4.71%)
Males bicycling to work 7,549 9,014 (+19.41%) 11,014 (+18.16%)
Females bicycling to work 3,474 3,741 (+7.69%) 3,542 (-5.62%)

The number of discrete females who bike to work has decreased in the most recent survey (2007-2009) while the total number of workers 16 and older has increased, giving females bicycling to work a smaller share than the previous survey (2006-2008). We must be careful to also note the margin of error for females bicycling to work is ±499.

Matt suggested that sustainable transportation advocates “push for higher sampling” to reduce “data noise” and increase the accuracy of how this data represents actual conditions. I agree – I’d also like more data on all trips, and not just those made to go to work. Household travel surveys attempt to reveal more information about a region’s transportation.

One of the two overall goals of the Bike 2015 Plan is “to increase bicycle use, so that 5 percent of all trips less than five miles are by bicycle.” Unfortunately, the Plan doesn’t provide baseline data for this metric, but we can make some inferences (there will probably be no data for this in 2015, either). The CMAP Household Travel Survey summary from 2008 says that the mean trip distance (for all trips) for Cook County households is 4.38 miles (under five miles). The same survey says that for all trips, 1.3% were taken by bike. These can be our metrics. *See below for men/women breakdown. Note that no data for “all trips” exists for the City of Chicago.

We will not achieve the Bike 2015 Plan goal unless we do something about the conditions that promote and increase bicycling. Achieving the goals in the Bike 2015 Plan is not one group or agency’s responsibility. The Plan should be seen as a manifestation of what can and should be done for bicycling in Chicago and we all have a duty to promote its objectives.

Please leave a comment below for why you think the rate of women who bike to work has stayed flat and decreased, or what you think we can do to change this. Does it have to do with the urban environment, or are the reasons closer to home?

*The same survey also said: Cook County males used the bike for 1.9% of all trips. Cook County females used the bike for 0.8% of all trips.

Table 1 data comes from the 1-year estimates from the American Community survey, table S0801, Commuting Characteristics by Sex for the City of Chicago (permalink), which is a summary table of data in table B08006. Table 2 data directly from American Community Survey table B08006.

Update on Prospect Park West bike lanes

On Thursday, the day of the anti-bike lane rally and adjacent counter rally, the New York City Department of Transportation released preliminary “before and after” data about speeding and sidewalk riding, the two major concerns the neighborhood had about the street.

Instead of 46% of people riding bikes on Prospect Park West sidewalks, only 4% do. And only 11-23% exceed the speed limit, where before the new bike lane, 73-76% would. Download the document (PDF) via TransportationNation.

A commenter (BicyclesOnly, from NYC) weighs in:

One of the main complaints against the redesign is that it reduces the roadway from three lanes to two, which means that double parking (which is very common here) effectively reduces the roadway to one lane. At one lane, you get some congestion and delays.

[…]

But is that really so bad? The impetus behind this project was concerns for rampant motor vehicle speeding. Because this roadway at three lanes had excess capacity, more than half the vehicles can and routinely would exceed the speed limit, creating a barrier between park slope residents and their park. 90% of the Park Slope community lives, not on Prospect Park West, where this project was installed, but to the west.

So to be fair, I wouldn’t suggest that the project has had NO effect on residents. But from a safety and utility perspective, and looking at the entire community of people who use this corridor–not just the people who live on it–the trade offs clearly are worth it. That’s why the local Community Board endorsed this project. And it bears mention that the Community Board is hand-picked by the Borough President, who is the leading OPPONENT of the project. So the community review process was NOT rigged in favor of approval.

Photo showing bike lane construction in progress.

Obtaining Chicago Transit Authority geodata

A reader asked where they could get Chicago Transit Authority (CTA) data I didn’t already have on the “Find GIS data” page. I only had shapefiles for train lines and stations. Now I’ve got bus routes and stops.

You can download General Transit Feed Specification (GTFS) data from the CTA’s Developer Center. It’s updated regularly when service changes.

Screenshot from ESRI ArcMap showing the unedited shapes.txt file loaded via Tools>Add XY Data. Shapes.txt is an 18 MB comma-delimited text file with thousands of points that can be grouped together with their shape_id.

The GTFS has major benefits over providing shapefiles to the public.

  1. It can be easily converted to the common shapefile format, or KML format.
  2. Google, the inventor of GTFS, has defined and documented it well; it is unencoded and plaintext. These attributes make it easy for programmers and hackers to manipulate it in many ways. (see also item 4)
  3. Google provides a service to the public on its website, an easy to use and robust transit planning service.
  4. The data is stored as plaintext CSV files.
  5. While an agency like CTA may have a geodata server on its intranet, it is less likely it has the addons that provide mapping and geodata services for the internet. A server like Web Mapping Service, or ArcIMS. These systems can be expensive to purchase and license. And we all know how the CTA seems to always be in a money crunch. While the CTA updates its GTFS data for publishing to Google Maps, the public can download it simultaneously to always have up-to-date information, providing the same geodata that ArcIMS or WMS would offer but for no additional cost.

I couldn’t have pulled off this conversion in 24 hours without the help of Steven Romalewski’s blog, Spatiality. He pointed me to the right ArcMap plugin in this post about converting the Metropolitan Transportation Authority’s GTFS data into shapefiles. I hope Steven doesn’t move to Chicago less my authority on GIS and transit be placed in check!

Make your own map of the CTA train routes and perform some kind of analysis – then share it with the rest of us!

Read more about my exercise in geodata conversion in the full post.
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I think I finally figured out the purpose of making plans

No, not plans with friends for dinner at Ian’s Pizza in Wrigleyville (which was great last night, by the way).

I graduated in May 2010 and I’m just now figuring out why we should make plans. What did I come up with?

Plans are to give a basis for the future so that the future is shaped from what people collectively need and want. They keep you on track so you focus on what’s most important and not the things that will derail the path to the plan’s stated goals.

(You can quote me on that. But I wouldn’t rely on that statement to stay the same – it’s still a work in progress.)

For example, you go out and survey the bike parking situation at all transit stations in your city. You collect data on how many bike parking spaces are available, how many bikes are present (both on bike racks and other objects), and bike rack type.

You then gather information like ridership, access mode, and surrounding residential density. From this you can list the stations in order of which ones need attention now, which ones need attention later, and which ones won’t need attention. Talking to people who work at the stations, who use the stations, and others will help you fine tune the ranking.

That’s the plan. The plan might also include narratives about the rationale for having high quality, sheltered, upgraded, or copious bike parking at transit stations (hit up the Federal Transit Administration for that).

Then the plan sits. Two years later, someone reads the plan and decides to apply for funding to build bike parking shelters at the transit stations in most need.

What stations are those? Oh, the plan tells us.

Update on GIS information for Haiti

We all woke up this morning to see news that another earthquake has happened in Haiti, near the center of the first one eight days ago.

“The United Nations Development Programme (UNDP) employed nearly 400 Haitians in cash-for-work activities to jump start the local economy and facilitate the delivery of urgently needed humanitarian assistance.”

This post is an update to my previous article about how GIS is used for disaster relief efforts. I recently came across a webpage on Harvard’s China Earthquake Geospatial Research Portal that lists copious, up-to-date, GIS-compatible data from organizations around the world. The portal began in response to the Sichuan, China, earthquake in May 2008.

Visit the Haiti GIS Data Portal now.

For new GIS students, this would be a great starting point for a class final project. The Portal is hosting the datasets as a public service and invites anyone with relevant data to submit it to the site operators for wider dissemination. Data comes from the United Nations, several universities, OpenStreetMap contributors, and the German Center for Air and Space Travel, among others.

“Petty Officer 3rd Class Cameron Croteau, a Damage Controlman aboard the Coast Guard Cutter Oak, carries an injured Haitian girl to an awaiting Coast Guard HH-60 Jayhawk helicopter Tuesday, Jan. 19, 2010. Coast Guard and Navy helicopters airlifted injured Haitians to a private hospital in Milot, Haiti. U.S. Coast Guard photo by Petty Officer 3rd Class Brandyn Hill.”

As I mentioned in the previous post, there are many photos on Flickr when you search for “haiti earthquake.” When I wrote the post on January 14, 2010, there were only about 300 photos, and now there are over 6,900. Only 1,200 have a Creative Commons license, though (both of the photos above have a Creative Commons license). It seems that the United States Military, the United Nations, and major relief organizations are providing the majority of photos. And they’re uploading them fast. The number of photos on Flickr jumped by 50 from when I started this paragraph.