The final step in this model-building process is ranking the German counties and the aggregation into my geographic schema. The results indicate, in general, that rural regions are more easily overwhelmed by tourists and that foreign tourists aggregate primarily within urban areas.
"If you build it - they will come" is a quote often used satirically to deride investors in white elephant projects. However, logically, the most critical determinant in measuring tourist flows is the number of beds available. We can generalize this to tourist infrastructure in general, which is what I will be examining here. Can a destination be built to attract tourists?
Do tourists care about national parks? I think the answer is obviously yes, as the global success of the American National Park system suggests. The draw for travelers is obvious for the United States, with its incredible and uniquely well-preserved natural landscape. The challenge is if a country with fewer natural treasures than the US can also expect tourists to travel to their national parks.
The holy grail of quantitative tourism would be a near-objective measure of "too many" tourists. Such information would allow airlines, tour providers, and municipalities to direct and redirect tourists to an optimal experience. Here I outline the data that I have to create my tourist rating measure.
As an adventurous traveler, I have always been intrigued by the question, "where do you recommend I go? It can be challenging to answer, given that different people have different interests. I want to create a simple model of how under or overrated a destination might be for different categories of tourists.