Native Economic Regions
In a recent study, data on travel distances to places of interest (POIs) on American Indian reservations was analysed. Here's a breakdown of the methods and findings:
The research began by removing reservations with insufficient data and POIs with fewer than five weekly visits from the distance calculations. This ensured that the analysis was based on reliable and representative data.
Next, the POIs were categorized based on two-digit North American Industry Classification System codes. This allowed for a more detailed analysis of the industries attracting visitors to the reservations.
One of the key findings was the classification of the "Professional" category, which includes professional, scientific, and technical services. This suggests that these industries play a significant role in attracting visitors to reservations.
The study also presented the "Average distance traveled to places of interest", which provides an approximation of the average distance people traveled to POIs on a reservation in the past year. This data can help in understanding the geographical distribution of POIs and their accessibility.
Another important metric was the "Visit shares by industry", which reflects the fraction of visitors traveling to POIs in a particular type of industry from December 27, 2021, through January 1, 2023. However, the specific industries most frequently appearing in reservations were not detailed in the search results. Analysis of major corporations dominating market capitalization during this period, such as technology companies like Apple, Microsoft, Alphabet, Amazon, Tesla, healthcare and financial firms like UnitedHealth and Johnson & Johnson, suggests that technology, healthcare, and financial services were prominent sectors.
The radius of the circle around the centroid of a reservation illustrates a 52-week moving average from December 27, 2021, through January 1, 2023. This visual representation helps in understanding the spatial distribution of POIs within a reservation over time.
The distance calculations for reservations were based on 2018 shapefiles from the U.S. Census Bureau. This ensures the accuracy and reliability of the geographical data used in the analysis.
The weekly average distance for a reservation was calculated by taking the visit-weighted average of median distances traveled to each of a reservation's POIs. This method provides a more accurate representation of the average distance traveled to POIs on a reservation.
Finally, the "Average distance traveled to places of interest over time" reflects a time-series average of the distance people traveled to POIs on a given reservation from January 1, 2018, through January 1, 2023. Each data point is a four-week moving average of the weekly average distance for a particular reservation. This data can help in understanding trends in travel distances over the past five years.
In conclusion, this study provides valuable insights into travel patterns to POIs on American Indian reservations, shedding light on the industries attracting visitors, the average distances traveled, and trends over time.
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