cycl e tropolis analyzing america’s no.1 bike city cort eidem crp 551 : july 2011 cort eidem crp...
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CYCLeTROPOLISCYCLeTROPOLISAnalyzing america’s no.1 bike cityAnalyzing america’s no.1 bike city
cort eidemcrp 551 : july 2011
cort eidemcrp 551 : july 2011
Bike Commuter CitiesCity % Bike
Minneapolis 4.4%
Portland 4.2%
Sacramento 3.7%
San Francisco 3.7%
Tucson 3.3%
Fresno 2.9%
Boston 2.6%
Seattle 2.6%
Washington, D.C
2.5%
Albuquerque 2.4% U.S
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setting the scene
• Bicycling Magazine recently named Minneapolis the #1 Bicycling community in the U.S.
So What’s the Problem?• Many cities in
America (including Minneapolis) are still designed primarily for vehicle traffic
This leaves many people without alternative transportation options
Goals• To find new sources of data
• To analyze transportation data in order to locate areas of special concern
• To create an output map that solves a transportation problem
Where can Minneapolis expand bike trails in order to provide an immediate benefit?
Why does it matter?• The recent recent economic recession
coupled with a shift towards “Green living” has been a catalyst for bicycle infrastructure in the U.S.
• Minneapolis is constantly upgrading their bike trail network - making bicycling within the city safer and more accessible.
• As petrol prices continue to rise, more communities will depend on alternative transportation infrastructure - such as bike paths.
Me + GIS = ?
• I sought out to perform a basic analysis that could be used to site a future bicycle trail in currently neglected neighborhoods
• Motivations:
• I ride a bike... everywhere
• I wanted to learn where to locate data for Minnesota, & figure out how to apply the data in a useful manner
The forgotten cornerAnalysis of Census Data revealed a marked drop off in bicycle commuters in an area North of Downtown Minneapolis.
Further investigation showed that this decline occurred at the county boundary line.
Perhaps Anoka County does not have as much to invest into bicycle infrastructure as Hennepin County. Regardless, this area caught my attention, and I believe that bike paths would be welcome here due to the high percentage of bicycle commuters in surrounding neighborhoods.
Methodology• Download & Process Tabular Data in
Spreadsheet
• (This was more difficult than it should have been due to the fact that I’m poor, and use OpenOffice rather than Excel.)
• (Also, I’m fairly computer illiterate)
• Geodatabase
• Manage Census Data & Transportation Data
• Geoprocessing
• Merge, Clip, Union, Buffer, Rinse, Wash, Repeat
• Select By Location & Attribute
• Creating New Shapefiles
Collecting Data
MetroGISDataFinder
http://www.datafinder.org/
DNRData Deli
http://deli.dnr.state.mn.us/http://www.census.gov/geo/www/tiger/tgrshp2010/tgrshp2010.html
US CensusBureau
I found two new locations for GIS data (MetroGIS & the MN DNR Data Deli)
I also used an old friend (US Census), but downloaded new TIGER 2010 data
Tabular DataProcessed Census Data using OpenOffice
Geoprocessing
• I became very efficient at Geoprocessing through lots of Unions, Merging, and Clipping of layers
I wanted to remove extraneous data in order to focus attention on this area.
Joins, queries, and fun
• Joined Census data to DNR shapefiles
• Set Definition Queries to Select appropriate data for presentation
• My final analysis area shows the high numbers of bikers near downtown, and highlights the Columbia Heights neighborhood as an outlier.
• I also wanted to look at data regarding race & income. This analysis showed Columbia Heights households have a bit more income, but there are still no opportunities for cycling once petrol prices become too high
FIN
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Thank You, Come Again• If I could do things over, I would have used 3D Analyst to
create a section profile of the elevation along new bike
routes.• I was able to create a 3D topography of the Twin Cities as
per Tutorial 10. Highly valuable tutorial for visual presentations. (This left me curious if the software can merge with Google SketchUp or Google maps for future projects?)
• Additional data on street trees, or building footprints would have enhanced the project
Final Thoughts
• I succeeded in locating new sources for data & teaching myself how to apply that data. However, I had to adjust my initial proposal concept because I couldn’t make enough sense out of available land cover data to make a cohesive final project - something that probably would have been more achievable if this course was face to face, rather than online. C’est la vie.