Information about the travel forecasting package, Quick Response System II
In 2006 Hollywood gave us the movie, Who Killed the Electric Car?, which tried to paint General Motors as misguided or evil for repossessing and destroying almost the whole fleet of EV1s that it had manufactured. As you might remember the EV1 was a short-lived experiment lasting from about the 1996 to the 1999 model …
I have lately refereed journal submissions where authors have totally evaded the concept of a statistical test while trying to demonstrate the importance of their research. I will give somewhat altered (to protect the identities of the authors and avoid lawsuits) examples later. Mainly, each of these authors has developed an innovation, compared the innovation …
“What?!”, you say. “2+2=4 is an established mathematical fact. It cannot be wrong.” Yes, 2+2=4 has lots of valid applications, such as counting toy blocks. It can even work for adding up vehicle trips on links. It does not work for standard deviations of independent random variables, where 2+2=2.828 (approximately). I am taking issue with …
It could be argued that every technical field has its barriers to innovation, but barriers are particularly acute in travel forecasting. If photography innovations were adopted at the same rate as ours, many of us would still be using Instamatics. A good friend of mine recently described the regional model in his locality “the best …
I just recently declined to referee a paper from a journal because the authors so infuriated me by the second paragraph that I decided I could not be objective. Thus, the reason for this blog article. Another TRB paper evaluation season has come and gone. Some authors are delighted to have gotten into the Annual …
It seems that empiricism in the absence of theory is the enemy of transferability. Physicists have postulated that the speed of light in a vacuum is a constant; no matter (not a pun) where or when it is measured, it is always the same. The speed of light is perfectly transferable. However, in travel forecasting …