Recently, open data and various other data have been released,
Among them, a RESAS (Regional Economic Analysis System) open data contest was held, so
I created a ranking of unexplored stations.

 

First, when creating the Hikyo Station ranking, we investigated what to evaluate and create the ranking.

Speaking of Hikyo Station, " Let's go to Hikyo Station! " Is famous, but with reference to this site, the following 5 items were totaled in 20 stages, and the overall evaluation was judged on a scale of 100 points.

  1. Unexplored degree It is surrounded by cliffs, deep forests, and desolate wilderness, and you can get high points when there are no (small) houses.
  2. The atmosphere gets a high point for things that make you feel old history, such as wooden station buildings, waiting rooms, and wooden platforms.
  3. Train arrival difficulty Get high points when the number of trains is small and there are few stops even on regular trains.
  4. External reach difficulty Get high points when there is no way to the station, mountain trails, dirt roads, etc. that are difficult to access from the outside.
  5. The Railroad Heritage Index gets high points for railroad remains (including active duty) such as switchbacks, loops, drop lines, and abandoned railway tracks.

I had a lot of trouble considering how to link these 5 items with RESAS data and open data, but I decided to collect data like this.

 

First of all, station data is required, so if you search for something that is open to the public for free, you will find that information on stations and routes is open to the public for free on the station data.jp site! (◎ _ ◎;) I used this one.

 

Based on the station data, we will add judgment data of unexplored area, atmosphere, train arrival difficulty, external arrival difficulty, and railway heritage index.

  1. The degree of unexplored region is judged based on the population composition of RESAS and tourism resources.
  2. The atmosphere is judged based on the opening time of the station. It pulls information from Wikipedia.
  3. For train arrival difficulty, I tried to judge the score based on the number of trains at the station, but since data could not be acquired, the score was judged based on the number of passengers in the national land numerical information.
  4. The difficulty of reaching the outside is determined by the ratio of the time and distance from Tokyo Station to the lower road of the car. Get the distance and time traveled with the Google Map API.
  5. The railway heritage index uses the information on the ruins search map to identify whether it is near the station and determine the score.

With this feeling, I judged the score and created the data.

 

And here is the site where you can create the display site on the side.

[Hikyo Station Ranking]

 

Please let us know what you think once you see it. I want to judge whether it is correct or incorrect.

I look forward to working with you. ٩ ( ˙0˙ ) ۶

 

 

 

 

RESAS Open Data Regional Revitalization Hikyo Station