Objective and subjective indicators: Effects of scale discordance on interrelationships

Researchers in the social indicator movement are increasingly aware of the value of obtaining both subjective and objective measures. At the same time there is a recognition of the need to understand relationships between the types of measures. Studies utilizing both subjective and objective measures indicate that while relationships between them exist, relationships are often not strong. This paper suggests several explanations for such imperfect relationships. One is scale discordance, a term used to recognize that the territorial base of an individual's subjective evaluation may not coincide with the boundaries of the unites used for the collection of objective data. Using data from a metropolitan area study, relationships between objective measures of crime and respondents' feelings of safety are examined for people whose perceptions of neighborhoods vary in size. The hypothesis that the relationship between the objective and subjective measures is stronger among individuals whose view of neighborhood size is in line with the relatively large territorial base for objective crime statistics is tested and found to be correct. Implications of the findings for research and policy making are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43701/1/11205_2004_Article_BF00364601.pd

Factors influencing support for local transportation sales tax measures

Sales tax measures passed at the local level and dedicated to transportation projects have become increasingly popular in the United States. While revenues from fuel taxes stagnate, growth of local transportation sales taxes (LTSTs), most approved in local elections, has led to a gradual shift of the financial base for transportation projects away from user fees and toward broader-based taxes. In this study, the relationship between voter support and the social, political, and geographic characteristics of the voters is explored. Using precinct-level voting data and census demographic data for three local transportation sales tax elections in Sonoma County, in the San Francisco Metropolitan area of California, regression models were constructed to analyze this relationship. In addition, the relationship between the outcomes of the three measures was explored to better understand which transportation projects might have garnered more support for the successful measure. It was found that the closer voters lived to the transportation projects to be funded, the greater their support. Higher incomes were also positively related to support, controlling for other variables. Political leanings were found to affect support, with the direction of the effect dependent upon the project list in each measure’s expenditure plan. Finally, it appears that the latest measure, which passed successfully, benefited greatly from its multi-modal expenditure plan. Copyright Springer Science+Business Media B.V. 2007Transportation finance, Sales tax, Politics and transportation, Voting models,