摘要: |
As just discussed, there are many ways to collect data that may provide behavioral insights as we plan for the future, each of which has some positives but also some potential limitations. The basic point is that when analyzing human behavior in fast-evolving technological, humanitarian, and environmental contexts, we cannot be sure which data collection approach would provide better insights about activity-travel characteristics than other approaches. So, rather than stick to any self-assured hubris regarding what is the right way to collect data about future behavior, a better approach, in this author's opinion, would be to readily acknowledge what is unknown, and embrace humility as we pursue the scientific path. In closing, none of the many data collection approaches singularly are a panacea or necessarily a better representation of future behavior in a fast-evolving landscape. But the combined insights from any such single-data studies, as well as those from multi-data studies that combine data from multiple of these sources, can be beneficial in getting a reasonable sense of what the future holds. Of course, this does not absolve us of our responsibility to pursue the most rigorous methodical designs within any data collection approach (or combination of approaches) employed. But, as scholars, rather than arguing over what kind of singular data collection approach would provide the best insights into future behavior, let's channel our time more constructively on addressing the following question: "Given we have so many different types of data collection approaches at our disposal, how best might we harness the full potential of the different approaches, either individually or in combination, to gather insights into future activity and travel behaviors?" |