/
Value Pricing Pilot (VPP) Parking Project Value Pricing Pilot (VPP) Parking Project

Value Pricing Pilot (VPP) Parking Project - PowerPoint Presentation

lindy-dunigan
lindy-dunigan . @lindy-dunigan
Follow
359 views
Uploaded On 2018-12-06

Value Pricing Pilot (VPP) Parking Project - PPT Presentation

TAC February 20 2015 1 This project seeks to improve the land usetransportation system in the SF Bay Area through parking policies Approach Create a regional parking database that will ID: 737717

policy parking database questions parking policy questions database data question review project pricing regional policies analysis demand collection local

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "Value Pricing Pilot (VPP) Parking Projec..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

Value Pricing Pilot (VPP) Parking Project

TAC February 20, 2015

1Slide2

This project seeks to improve the land use/transportation system in the SF Bay Area through parking policies. Approach:

Create

a

regional parking database that will be useful both for local and regional analysesAnalyze effects of various parking policies, especially pricing,

using regional

land use (UrbanSim)

& transportation (Travel Model One) models, other analyses and case studies. Use expert review, develop recommendations, publicize results Develop and support use of the regional parking database through workshops for local jurisdictions demonstrating local parking analysis methods, and publicizing protocols.

2

Project Goals

Recap - Project

GoalsSlide3

Database goals: Make parking data collection and analysis more efficient and effective; create a space to host and view parking data throughout the region, across locations and time.

Provide a standardized way to organize data to make it more consistent across different collections

Standardizes the collection fields, reducing time and monetary costs for setting up projects

Consistent comparison of new data collections to past collections

Consistent comparison of

data

collections in different cities/locationsEnables easy entry into the database that hosts dataCreate a process for Geo-IDing data collection to allow automated mapping and visualizations in GIS3

Database

DatabaseSlide4

Data Collection

F

ield work for all 25 PDA

areas in cities completed by February 28th

Previous studies (16 study areas

); working to standardize legacy data to match new database schema.

4

 

Study Area Sites

1

Santa Rosa

2

Hayward

3

South San Francisco

4

Sausalito

5

Vallejo

6

Albany - SPA7Albany - Solano8Alameda9Sunnyvale10Pinole11Burlingame12Lafayette13Union City14Dublin15San Jose - N Downtown16San Jose - NE Downtown17El Cerrito del Norte18El Cerrito Plaza19Millbrae20Martinez21Gilroy22Emeryville23Fairfield (2 /21, 2/28)24San Jose - S Downtown (2/21, 2/28)25San Jose Diridon Station (2/21, 2/28)

Database

DatabaseSlide5

5

Database

Database

Working to standardize data collection

Compare

changes over time

Compare

different locations

Easily mapped

Quickens project start-upSlide6

Data Collection Fields

Each new data collection project is organized by a single

Project ID

(2)

Each

Blockface

or Facility has another ID which codes the Location

6

Database

 Project

ID

Study Area Location

City Name

Project Title

Consultant Name

Project

Month

Project

Year

Project Notes9Albany San Pablo AveAlbany MTC VPP Regional Parking Project (Albany San Pablo Ave)CDM Smith, MTCSeptember2014The MTC VPP Regional Parking Project is collecting parking data throughout the Bay Area to compile a database of parking information. http://www.mtc.ca.gov/planning/smart_growth/parking/2014.htmBlockface IDProject IDParking TypeStreet Name/Facility NameFrom StreetTo StreetSide of Street7260909on-streetState StFirst StSecond StNDatabaseSlide7

The

blockface

ID is connected to inventory and occupancy information, as well as a GIS location

7

Database

DatabaseSlide8

Each

blockface

or off-street facility has Inventory data attached to it

8

Database

DatabaseSlide9

9

Data Collection

Occupancy data is collected for each

blockface

/facility as well as for each day of collection

Fields in yellow are suggested as the minimum standard for future data

collection - flexible

DatabaseSlide10

10

Database

WebsiteSlide11

Auto-generated inventory and occupancy heat maps

Instructional worksheets to help interpret heat maps

11

Database

WebsiteSlide12

12

Database

WebsiteSlide13

Backend system and development status

Kearey Smith

13

Database

DatabaseSlide14

Questions?

14

Database

DatabaseSlide15

11 Policy Questions – focus on pricing policies

15

Policy Questions

Policy Questions

# 1 Where is local parking

supply greater than demand

, and where is local demand greater than supply, and at what prices for parking does this hold? Does this vary systematically by type of place or other criteria?

# 2 What would be the impact of

reduced parking requirements

on distribution and types of new development in different areas of the region?

# 3 How much demand exists for

housing with lower amounts of parking

? At what prices and in which areas?

# 4 What would be the impact of

unbundling

parking from rents on residential demand in urban areas, and how would it alter demand vis-à-vis less urban areas? What would be the transportation, environmental and financial impacts of a charge placed on parking spaces?

# 5 Could some planned or proposed parking

structures be downsized

through pricing and provision of other modes without negative impacts on transit ridership/revenues and downtown retail?

# 6 What would be the impact on employment location and types, and on employees’ income of a regional parking cash-out program?# 7 What are the most effective actions the regional agencies can take to support pricing parking policies? #8 Under what conditions might cities and transit agencies want to enact or enforce various priced parking policies? #9 Under what conditions do individuals perceive parking pricing policies to be appropriate?# 10 How common are the conditions that would lead to a successful local parking pricing policies in the San Francisco Bay Area?# 11 What are the specific approaches to parking pricing programs and the components that are most important for a successful program?Slide16

16

Policy Questions

Policy Questions

 

Policy Question

1

2

3

4

5

6

7

8

9

10

11

Introduction

a. Why

is this

question

important Draft

Report Complete

b. Who

is the audience for this question

c. Methodology overview

Analysis

a. Background and

Literature Review

b.   Modeling Analysis

Work

in Progress - focus

c. Other Technical Analysis

d. Expert Panel

Analysis

June-July

Summaries and Conclusions

a. Summary of

findings, challenges

b.

Policy Recommendations

11 Policy Questions

D: Draft complete

P: In progress

F: Future workSlide17

17

Policy Questions

Policy Questions

Policy Question 1

Where is local parking supply greater than demand, and where is local demand greater than supply, and at what prices for parking does this hold? Does this vary systematically by type of place or other criteria?

Tools

Heat map of all data collection will show peak periods and “hot spots;” in addition to this information being summarized in a few brief sentences per city, our team is developing informational packets that will have workflows on how to interpret heat maps and use them to inform policy decisions.

Progress

 

Question

Background and Purpose

Literature Review

Best Practice Applications

Analysis of Data Collection (Using GIS)

Expert Panel

Summary and

Recommendations

August14 –May15JuneJulySlide18

18

Policy Questions

Policy Questions

Policy Question 2

What would be the impact of reduced parking requirements on distribution and types of new development in different areas of the region?

Tools

UrbanSim has been used to simulate reducing parking requirements in the region by ½ as well as eliminating parking requirements.

Progress

 

Question

Background and Purpose

Literature Review

Best Practice Applications

Modeling (UrbanSim)

Expert Panel

Summary and

Recommendations

February - MarchJuneJulySlide19

19

Policy Questions

Background regarding Methodology - UrbanSim

Developed by the Urban Analytics Lab at UC Berkeley

Discrete Choice Model

Transportation and Land use integration

Populate fields with local data to get context-specific modeling

Policy QuestionsSlide20

20

Policy Questions

Policy Questions

New

Residential

Growth

New

Non-Residential

Growth

In TPA

Out TPA

In TPA

Out TPA

Baseline Scenario

73.2%

26.8%

Baseline Scenario

60.0%

40.0%

Scenario 2 – reduced requirements by 1/275.4%24.6%

Scenario 2

63.1%

36.9%

Scenario

3 – eliminated parking requirements

76.7%

23.3%

Scenario 3

65.8%

34.2%

 

Policy Question #2 Results

- If parking requirements are reduced by ½ in the TPAs, 75.4% of new growth will occur within TPAs, 2.2% more with standard parking requirements. Slide21

21

Policy Questions

Policy Questions

Policy Question 3

How much demand exists for housing with lower amounts of parking? At what prices and in which areas?

Research & Best Practices

(

Draft

Complete)

MTC

“Choosing Where We Live”, with auto ownership by market segment, including interest in smart growth

areas

Other research and best practices

.

Additional Analysis

TransFORM

data on 65 affordable residential sites.

Progress

 

Question Background and PurposeLiterature ReviewBest Practice ApplicationsTransFORM Data AnalysisExpert PanelSummary and RecommendationsFebruary - MarchJuneJulySlide22

22

Policy Questions

Policy Questions

Policy Question 4

What would be the impact of unbundling parking from rents on residential demand in urban areas, and how would it alter demand vis-à-vis less urban areas? What would be the transportation, environmental and financial impacts of a charge placed on parking spaces

?

Research & Best Practices

(

Draft Complete

)

Review

of unbundled parking in San Francisco, Seattle, Arlington, Bellevue, Berkeley, and St. Louis

Literature and review of findings by Todd Litman

Foregoing

Residential Parking Permits

in the City of Hoboken, New Jersey

Carsharing & Unbundled Parking in San

Francisco

Progress

 

Question Background and PurposeLiterature ReviewBest Practice ApplicationsExpert PanelSummary and RecommendationsJuneJulySlide23

23

Policy Questions

Policy Questions

Policy Question 5

Could some planned or proposed parking structures be downsized through pricing and provision of other modes, without negative impacts on transit ridership/revenues and downtown retail?

Research & Best Practices (

Draft Complete

)

Tools

Travel Model One is being used to supplement research on this question. Scenarios so far have found an overall decrease in ridership when parking is eliminated at 9 subject stations, but an increase in ridership when housing at the stations is added to existing parking. Results vary considerably by location, we are assessing where and why.

Progress

 

Question

Background and Purpose

Literature Review

Best Practice Applications

Modeling (TMO)

Expert Panel

Summary and

Recommendations

February - AprilJuneJulySlide24

24

Policy Questions

Policy Questions

Policy Question 6

What

would be the impact on employment location and types, and on employees’ income, of a regional parking cash-out program

?

Research & Best Practices

(

Draft Complete

)

Best

practice review of parking cash-out programs, commuter benefit programs and other trip reduction strategies.

Bay Area CBO Analysis (report due June 30, 2015)

California’s

Parking Cash-out

Law

Washington’s Commute Trip Reduction

Law

Boulder Colorado Transit

PassesGenentech’s gRide Rewards program Status Question Background and PurposeLiterature ReviewBest Practice ApplicationsExpert PanelSummary and RecommendationsJuneJulySlide25

25

Policy Questions

Policy Questions

Policy Question 7

What

are the most effective actions the regional agencies can take to support pricing parking policies

?

Research & Best Practices

(Draft Complete

)

Best

practice review

of existing and proposed strategies.

Review of MTC Regional Parking Strategies for Climate Protection, other Bay Area parking policy proposals, State Transportation Control Measures (TCMs) for the Bay Area, Climate Initiatives Program, Bay Area

CBO

Analysis/cash-out policies, PDA Planning, Regional Prosperity Plan, CEQA and Parking,

transit pass

programs/TransLink for TOD, Res.

3434

TOD

Policies addressing similar goals in other locations (MPOs, states, countries) Recommendations - regional actions based on analyses, best-practices, expert inputStatus Question Background and PurposeLiterature ReviewBest Practice ApplicationsExpert Panel*Summary and RecommendationsFebruary-MarchJuneJulySlide26

26

Policy Questions

Policy Questions

Policy Question 9

Under

what conditions do individuals perceive parking pricing policies to be appropriate

?

Research & Best Practices (Draft Complete)

Review of on-the-ground and best practice methods used to understand perception, markets, responses to problems, and public opinion.

MTC’s

Choosing Where We Live

MTC 2012 Parking

Initiative

Public Outreach, Staff

Interviews and Intercept

Surveys

goBerkeley Public

Outreach

San Mateo’s Intercept Surveys and Community Outreach

Vallejo

Park and Ride survey analysisParking Benefit Districts  Question Background and PurposeLiterature ReviewBest Practice ApplicationsExpert PanelSummary and RecommendationsJuneJulySlide27

27

Policy Questions

Policy Questions

Policy Question 8, 10, 11

Worksheet Tools

These

questions link several local parking pricing conditions, concepts and concerns and are considered together. They will be used as the basis of several tools and worksheets that the team is putting together to help cities interpret parking occupancy heat maps of local parking conditions.

Data observations:

Demand greater

than

supply / supply greater

than

demand

Parking is more/less

occupied in free or unregulated spaces

“Hot

spots” during peak periods causing crowding in specific

locations

High

on-street demand with available/abundant off-street

supplyUse of public streets in residential areas Question Background and PurposeLiterature Review/Best PracticesAnalysis WorksheetsAnalysis of 25 CitiesExpert PanelSummary and RecommendationsMarch - AprilMay-JuneJuneJuly10: How common are the conditions that would lead to successful local parking pricing policies in the San Francisco Bay Area?8: Under what conditions might cities and transit agencies want to enact or enforce various priced parking policies?11: What are the specific approaches to parking pricing programs and the components that are most important for a successful program?Slide28

Expert Review

Exact scheduling date is in progress – likely in June and open to TAC members to joinDonald

Shoup: UCLATodd Litman:

VTPISusan Shaheen: UC, Berkeley/ TSRCDaniel Rowe: King County Metro28

Next Steps

Policy QuestionsSlide29

29

Policy Questions

Policy Questions

Policy Questions - Final Deliverables

Final Report w/ summary findings, expert review & recommendations

for

regional parking pricing policy implementation;

outreach

Website publication (research and best practices published spring, 2015)

REPORT OUTLINE

Background

Why

is this question important

Who is the audience

How is this question addressed

Analysis

Literature review and best practices

Modeling analysis and discussion

Additional technical analysis

Expert panel

Conclusion and DiscussionSummary of findingsPolicy Recommendations Slide30

30

Policy Questions

Policy Questions

Questions?Slide31

31

Next Steps

Workshop

Time

Topic

Speaker

1:00pm

Introductions

Valerie Knepper, MTC

1:15-2:15 pm

2. Database

, website, and interpreting parking data

Detailed explanation of the VPP Parking Project’s Regional Parking Database. This will include database fields, and how the project is aiming to standardize data collection methodology and create a

single

source for parking data.

This will include an overview of how to interpret parking data and heat maps and the relationship to local parking pricing policies.

Kelly Clonts, CDM Smith

Terri O’Connor, CDM Smith

2:15-2:30 pm

Break

 2:30-4pm3. Parking Policy ResearchOverview of the eleven (11) Project Policy Questions including current research efforts and findings to date. Other methods of analysis, such as best practice research and expert panel review will also be reviewed for each policy question.Terri O’Connor, CDM SmithKelly Clonts, CDM Smith4-4:30pm4. Policy Discussion and Q&A - Session will include discussion of potential regional policies for consideration by the expert panel and MTCTerri O’Connor, CDM SmithValerie Knepper, MTCWorkshop on Project Tools - April 3rdSlide32

32

Next Steps

Next StepsSlide33

33

Next Steps

Next Steps

Questions?Slide34

34

TDM Program/CMAQ Funding

TDM Program/CMAQ Funding Opportunity

TDM/CMAQ Funding