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U.S. Department of Transportation
Research and Innovative Technology Administration
Triscallion_Black
Insight: Regional Architecture stimulates deployment
These data show and compare the effect of an increase in budget or implementation of a regional architecture on the adoption of either EVP or VDC ITS technologies.

The bottom section of each of the charts show the baseline predicted probability of adoption for the median agency in the data sample (which is from the Deployment Tracking survey). In the case of EVP the baseline is 15% and for VDC it is 90%.  The probability of adoption for the median agency is considerably different in these markets.

The top section of the charts show the increase in adoption from increasing funding from the median agency level to the 99th percentile (in term of funding).  For architecture it is the effect of going from no architecture to having an architecture.

A key observation here is that increasing either funding or implementing a regional architecture has similar effects on the magnitude of the subsequent increase in the probability of adoption for each technology.

For the purposes of this modeling exercise, the increase in budget for the median agency in EVP-FR is similar to giving Miami’s budget to Syracuse. Likewise, for VDC it is like taking the budget for Dallas and giving it to Birmingham, AL. (Note these are county level budget data, but they do provide and indication of the magnitude of funding change required to shift the adoption probability by the percentage noted above – the way to interpret these data is that the increase in probability is additive to the baseline).

If the cost of implementing a regional architecture for the median agency is considerably less than the cost of funding  noted above, then a regional architecture will provide close to same increase in adoption with a much lower outlay.

Another observation is the magnitude of change in the adoption probability given the baseline predicted probability of the median agency.  The higher this probability, the less effect an intervention, be it funding or an architecture, will have.








If the cost of additional funds to increase adoption is considerably larger than the cost of implementing or upgrading a regional archaitecture requirement, then