SDOT Bicycle Group Project UW Extension GIS Certificate Program Spring Quarter 2010
Sponsors
Gina Coffman (SDOT) Chad Lynch (SDOT)
Lead Advisor
Fred Rowley
Working Group
The Team
Adam Neel Elizabeth Padget Jenn Hamilton Lindsay Donnellon Tim Pemberton
Seattle Bike Facility Stats
6,000 Seattle residents use a bicycle as their primary mode of transportation. Seattle has 25 miles of bicycle lanes & 40 miles of trails. SDOT was one of the 1st city transportation departments to establish a bicycle program.
Ch-Ch-Changes
Problem Statement The Seattle Department of Transportation cannot present an interactive bicycle facilities map on the internet due to current data inconsistencies and a lack of proper data organization and management. SDOT is limited in its knowledge of travel demand modelling as it relates to bicycle network planning. As a result this technology is not currently being implemented to carry out goals defined by the Bicycle Master plan.
Goals
Provide SDOT with a more accurate and easily manageable dataset. Produce a report offering information and suggestions to broaden SDOTS knowledge of travel demand modeling as it relates to bicycle network planning. Create an interactive web map for Seattle’s cycling community. Ultimately, improve safety and increase ridership in Seattle.
Objectives
QAQC and update of existing SDOT bicycle GIS data for better management and future planning. Conduct bicycle demand layer lit review to provide information and suggestions about the implementation of a demand layer methodology to be used by SDOT for future bicycle planning. Create a bicycle facilities map to be used in a publicly accessible web application.
Risks and Solutions
Failure to receive data and or instruction from project sponsors in a timely manner
Maintaining a suitable level of communication among group members (work schedule, travel)
Maintained regular contact with sponsors by e-mail, telephone, and regularly scheduled meetings.
Maintained regular contact and adhered to task schedules as defined in the monthly status reports.
Loss of data integrity
All data changes and updates were done to the specifications outlined by SDOT.
Timeline Bicycle Master Plan .MXD
Initiate • Create Task List • Assign Individual Roles • Complete Status Report #1
January
February
QAQC Data • Check accuracy of bicycle facilities data and update as necessary. •Update SDOT bicycle count data
• Create.mxd file to the specifications and standards necessary for web publication as defined by the City of Seattle. •Hand off all .mxd files to be used in the web application deployed by SDOT.
March
April
Bicycle Demand Layer • Conduct a lit review of current demand layer methodologies. •Create a list of recommended demand layer generators based on our research.
Deploy • Final presentation •SDOT deploys web application for public use.
May
June
Methodology
Count Data Update 2008 City wide bicycle counts
N 45 St - N 50 St 2007 Stone Way 19 Ave / 19 Ave E Yesler Way - E Galer St 2007 E
Bike Lanes Sharrows
0.8 7 0.850.402 0.2 4 0.24 2.1 2 2.12 2.12
Chieft Sealth Trail - Renton 2007 S Henderson St Ave S
Bike Lane & Sharrows
0.0 0.04 5 7
2007 Stone Way
N 34 St - N 45 St
CST - Yukon Yukon - Renton Ave S
Sharrows Bike Lane & Sharrows
Renton Ave S - Seward Park Bike Lane & 2007 S Henderson St Ave S Sharrows Renton Ave S - 50th Ave S Bike Lanes 50th Ave S - 52nd Ave S 52nd Ave S - Seward Park Ave S
Sharrows
40 Ave NE - 43 Ave NE
2007 Mercer St
Queen Anne Ave N - 5 Ave N Bike Lanes 63 Ave SW - Lincoln Park Way SW Sharrows
2007 Beach Dr S
8 Ave NW / NW NW 85 St - NW 100 St / 3 Ave NW 2007 100 PL
Sharrows
Sharrows
2007 20 Ave W
Thorndyke Ave W - T91 Path Sharrows
2007 21 Ave W
Thorndyke Ave W - T91 Path Sharrows
0.45
0.24
Status Completed Completed Completed Completed
0.029 0.018 0.5 4 0.54
Completed 0.228 2 0.189 0.120 3
Bike Lanes
2007 NE 45 St
0
Bike Lane & Sharrows
Type - Facility Bike Lane & Sharrows
Length (Bike Lanes)
Limits
Length (Sharrows)
Year Corridor - Street
Reported Total Length (miles) Calculated Length (Total)
Facilities Data Update
0.2 8 0.28 0.28 0.4 3 0.43 3.1 9 3.19 3.19 1.0 6 1.06 1.06 0.3 0.3 0.3 0.1 8 0.18 0.18
Completed 0.43
Completed Completed Completed Completed Completed
Additional Data Gathering
Creation of bicycle points of interest: bike shops & farmers’ markets Bike locker locations and hyperlink
Initial Requirements from SDOT
Visualization
Putting it all together
Field representations Symbology (and scale range) Labels (and scale range) Base layer Scale
Symbology SDOT’s line symbols
Project group’s line symbols
Symbology
Demand Layer Lit Review ď Ž
ď Ž
Internet search for scholarly articles and transportation planning documents discussing the use of demand modeling in bicycle facilities planning. Present a report to SDOT outlining the methods that will most effectively assist in achieving goals for future bicycle facilities planning as defined in the Bicycle Master Plan.
Results
Change in Counts between 2007 and 2009
Demand Layer Literature Review SUPPLY OR DEMAND
PROCESS
DESCRIPTION
DATA NEEDED
SOURCE
Supply
BLOS (Bicycle Level of Service)
quality of service of roadway
volume, speed, auto type‌
Bicycle Facility Planning Using GIS and Multi-Criteria Decision Analysis
Supply
Hazard score analysis
measures exposure to hazards
volume, speed, & size of motor vehicles‌
Intersection Level of Service: The Bicycle Through Movement
traffic speed, vol, road width
Bicycle Compatibility Index A Level of Service Concept
Supply
BCI (Bicycle evaluates a facilities compatibility Compatibility for motorists and cyclists Index)
Supply
Cycle network
analyzes "demographic coverage"
Demand
Latent Demand Score
estimates probability of bicycle travel
Demand
Demand
uses averages to forecast bicycle Forecasting demand
Sketch Analysis
routine trip-estimation
topo, population, employment, school, Cycle Route Network Planning Using GIS, crash locations the D's (currently Seattle's based off destinations)
Technical Analysis- Latent Demand for Bicycle Travel (4/2002)
Bike Counts
Columbia River Crossing Pedestrian Bicycle Advisory Committee (4/27/2008); Estimating Bicycle and Pedestrian Demand in San Diego (4/1/2008)
peak hour vehicle, pedestrian & bicycle counts
Latent Demand Score (LDS) Model
Seattle 2010 Bicycle Map: scales, symbology, labeling
Successes!
Created an .MXD to be published on the web for public use. Provided information about possible methodologies for demand modeling. Created an organized, manageable bicycle dataset. Assisted SDOT in making Seattle a safer, more accessible city for current and future cyclists.
What’s Next? SDOT
deploys interactive map for public use on the web. Updated data will be used by SDOT for future implementation of the Bicycle Master Plan.
Increase in bicycle facilities to accommodate the public’s demand for a multimodal transportation system. Cleaner air, healthier people, and an overall more livable city.