Issuu on Google+

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.


GIS Project for Seattle DOT Bicycle Program