The authors thank the numerous respondents, both educators and practitioners, who gave their time and thoughts The contributions of several graduate assistants who conducted the telephone interviews is acknowledged Abstract This article examines evolving changes in the demand for analytic methods among planning practitioners and the supply of these methods by graduate planning schools in the United States Two surveys were conducted, one involving directors of planning agencies and the other involving planning schools Of the 28 analytic techniques included on the questionnaires, an average of 22 are taught in the responding academic programs Microcomputers now are almost ubiquitous in both the agencies and schools represented, and interest appears to have become quite great in possible applications of them on the part of both groups. Overall, it can be concluded that the demand for analytic techniques by planning practitioners has grown and the demand for and supply of these techniques within the field of planning have converged Perry, C 1976 Planners in Transition

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Objectives Both self-report and objective measures have strengths and limitations for studying physical activity (PA) and travel. We explored how objectively measured global positioning system (GPS) and accelerometer data matches with travel logs and questionnaires in predicting trip duration and PA. Methods In a study of PA and travel among residents in Atlanta, GA conducted in 2008–2009, 99 participants wore GPS devices and accelerometers, and recorded all trips in a log for 5 consecutive days. Participants also completed a self-administered questionnaire on PA and travel behaviors. Results There was good agreement between GPS and log for assessment of trip duration, although log measures overestimated trip duration (concordance correlation coefficient 0.53 [0.47, 0.59]; Bland-Altman estimate 0.76 [0.16, 3.71] comparing GPS to log). Log measures underestimated light PA and overestimated moderate PA compared to accelerometry when greater than zero moderate PA was reported. Conclusions It is often not feasible to deploy accelerometry or GPS devices in population research because these devices are expensive and require technical expertise and data processing. Questionnaires and logs provide inexpensive tools to assess PA and travel with reasonable concordance with objective measures. However, they have shortcomings in evaluating the presence and amount of light and moderate PA. Future questionnaires and logs should be developed to evaluate sensitivity to light and moderate PA.