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 Page

Acknowledgements

Copyright

Table of Contents

 

 

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

 

 

 

ACKNOWLEDGEMENTS

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

EXECUTIVE SUMMARY                                                                            1

 

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

ABOUT THE AUTHORS                                                                          139

PRE-PUBLICATION PEER REVIEW                                                    140


 

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