Mineta
Transportation Institute Report 00-1
Why Campaigns for Local
Transportation
Funding Initiatives Succeed
or Fail:
An Analysis of Four
Communities and National Data
Peter J. Haas, Ph.D.
(Principal Investigator)
Kristen Sullivan Massey,
M.P.P.
Linda O. Valenty,
Ph.D.
Richard Werbel, Ph.D.
June
2000
Technical Documentation Information
Page
Sponsoring Agency Report Number FHWA/CA/OR1999/19
Report Date June 2000 Report Number 00-1 State Contract Number 65W136
Why Campaigns for Local Transportation Funding Initiatives Succeed or Fail: An Analysis of Four Communities and National Data
Authors:
Peter Haas, Ph.D., Principal Investigator; Kristin Sullivan Massey,
M.P.P.;
Linda O. Valenty, Ph.D.; and Richard Werbel,
Ph.D.
This research project was financially sponsored by the U.S. Department of Transportation’s Research and
Special Programs Administration and by the California Department of Transportation (Caltrans).
Abstract:
As funding from state and national sources has dwindled and demands for relief from traffic and congestion have grown, local governments and transportation agencies are increasingly left to develop their own sources of enhanced revenues. Frequently the bid to increase available revenues comprises a local ballot measure, enabling the citizens served by these governments and agencies to express their preferences for or against increased taxation in support of an improved transportation system. What determines the success of campaigns in support of such ballot measures? To answer this question, this report includes the use of two different approaches and data sources.
1) A statistical analysis of community-level characteristics. Data from localities across the nation, as well those within the state of California, that have conducted elections for transportation tax increase are analyzed to determine what factors seem to affect the outcome of such elections.
2) Case studies of four communities that recently conducted elections for transportation tax increases (Santa Clara and Sonoma Counties in California, and the Denver and Seattle metropolitan areas). The case studies allow for in-depth, qualitative understanding of what election strategies and other campaign elements comprise successful or unsuccessful efforts to raise local revenues.
Among the most significant findings from the statistical analysis of local elections were the following:
Efforts to fund transportation with taxes where the proportion of elderly is greater than 9 percent are more likely to succeed In communities where the percentage of elderly is greater than 9 percent, the analysis indicates that voters may be more willing to accept local transportation taxes. However, in communities where the percentage of elderly is less than 9 percent, transportation measures may require significantly more determined marketing to enhance the probability of passage.
Efforts to increase sales taxes for transportation programs will be less successful in communities with higher sales taxes.
A relatively strong and negative relationship between sales tax and support for transportation tax initiatives was identified in the national election data. This suggests that communities with relatively higher sales taxes will be hard pressed to convince citizens to support additional increases.
Keywords: 140 Pages $15.00
coalitions, legislation, policy, policy analysis, public policy, team building, transportation policy
Copyright © 2000 by
IISTPS
All rights
reserved
Library of Congress No.
99-076280
A publication of the
Norman Y. Mineta
International
Institute
for Surface Transportation
Policy
Studies
Created by congress in
1991
The Mineta Transportation Institute has received funding through the California Department of Transportation (Caltrans) and the Research and Special Programs Administration (RSPA) of the U.S. Department of Transportation to conduct policy related activities in the areas of research, education, and information sharing with a focus on United States surface transportation.
In addition to the research team and interviewees, the authors thank the many individuals who helped to complete this project, including Institute Research Director Trixie Johnson and Communications Manager Jeanne Dittman. A special thank you goes to Brian Taylor, Ph.D. and Assistant Professor of Urban Planning at the UCLA School of Public Policy and Social Research, for his invaluable contribution.
TABLE OF CONTENTS
INTRODUCTION: THE
DEVOLUTION OF TRANSPORTATION
FUNDING 3
Organization of this Report 4
The Evolution of Transportation Funding in Metropolitan Areas 5
THE IMPACT OF
COMMUNITY CHARACTERISTICS ON
TRANSPORTATION FUNDING OUTCOMES 21
Predictor Categories 23
Methodology 25
Results 34
Analysis of Datasets 41
Directions for Future Research 43
CASE STUDIES: CAMPAIGNS
FOR TRANSPORTATION TAX
MEASURES IN FOUR COMMUNITIES 47
Introduction 47
Prior Research on Voter Influences Pertaining to Local Transportation
Funding Initiatives 47
Recommendations for Obtaining Voter Approval of Transportation
Funding Initiatives 49
Evaluation of Recommendations for Obtaining Voter Approval of
Transportation Funding Initiatives 51
Case Study I 53
Case Study II 65
Case Study III 81
Case Study IV 93
CONCLUDING OBSERVATIONS AND RECOMMENDATIONS 109
Introduction 109
Critical Success and Failure Factors: Transportation and Funding
Package 111
ABBREVIATIONS AND ACRONYMS 133
BIBLIOGRAPHY 134
LIST OF FIGURES
Figure 2-1.
Type of Funding Mechanism on Transportation
Tax Measures
in U.S.
44
Figure 2-2.
Percentage Voting for Transportation as a Function of
Funding
Mechanism
44
Figure 2-3.
Percentage Voting for Transportation as a Function of
Population
Growth
45
Figure 2-4.
Percentage Voting for Transportation as a Function of
Driving
Alone
46
List of Tables
Table 2-1.
Dependent Variable
26
Table 2-2.
Independent Variables
27
Table 2-3.
Regression Specification for National Dataset
28
Table 2-4.
Hypotheses for National Dataset
28
Table 2-5.
Dependent Variable
30
Table 2-6.
Independent Variables
30
Table 2-7.
Regression Specification for California Dataset
32
Table 2-8.
Hypotheses for California Dataset
33
Table 2-9.
Average County Population for Measures that
Passed/Failed
35
Table 2-10.
Model: Dependent Variable = Proportion Voting for
Transportation
Measure
36
Table 2-11.
Summary of results: California Data
37
Table 2-12.
Average County Population for Measures that
Passed/Failed
39
Table 2-13.
Summary of Results: National Data
40
Table 3-1. RTA
Proposal
89
Table 3-2. PR
Funding
91
Table 3-3. The
percentage of ‘yes’ votes for each county in both the
997 GTR
election and the 1995 TABOR override.
106
Table 4-1.
Comparison of Cases on Relevant Characteristics
Pertaining to
Coalition Building, a Transportation and Funding
Package, and
Marketing and Communications Programs
Targeted at
Voters
109
EXECUTIVE SUMMARY
As funding from state and national sources has dwindled and demands for relief from traffic and congestion have grown, local governments and transportation agencies are increasingly left to develop their own sources of enhanced revenues. Frequently the bid to increase available revenues comprises a local ballot measure, enabling the citizens served by these governments and agencies to express their preferences for or against increased taxation in support of an improved transportation system. What determines the success of campaigns in support of such ballot measures? To answer this question, this report includes the use of two different approaches and data sources.
1) A statistical analysis of community-level characteristics. Data from localities across the nation, as well those within the state of California, that have conducted elections for transportation tax increase are analyzed to determine what factors seem to affect the outcome of such elections.
2) Case studies of four communities that recently conducted elections for transportation tax increases (Santa Clara and Sonoma Counties in California, and the Denver and Seattle metropolitan areas). The case studies allow for in- depth, qualitative understanding of what election strategies and other campaign elements comprise successful or unsuccessful efforts to raise local revenues.
Among the most significant findings from the statistical analysis of local elections were the following:
Efforts to fund transportation with taxes where the proportion of elderly is greater than 9 percent are more likely to succeed
In communities where the percentage of elderly is greater than 9 percent, the analysis indicates that voters may be more willing to accept local transportation taxes. However, in communities where the percentage of elderly is less than 9 percent, transportation measures may require significantly more determined marketing to enhance the probability of passage.
Efforts to increase sales taxes for transportation programs will be less successful in communities with higher sales taxes.
A relatively strong and negative relationship between sales tax and support for transportation tax initiatives was identified in the national election data. This suggests that communities with relatively higher sales taxes will be hard pressed to convince citizens to support additional increases.
The case studies were used to identify strategic measures that advocates of transportation tax packages could use to bolster their odds for success. Among the key findings were the following:
• A budget cap should be identified to determine the magnitude of the transportation package. This budget cap will help create a transportation package that reflects community priorities for the package.
• Priorities should be based upon information from a variety of sources. Information should be collected directly from the public through research techniques such as focus groups and surveys. Surveys can be useful in identifying voters’ priorities. Involvement of a citizen advisory group in the decision-making process also can be usefu