Evaluating accessibility based on min-sum distance weighted by population distribution

In this article, we try to evaluate accessibility based on min-sum distance weighted by population distribution in Ome, Tokyo.

人口分布配置ディテール02人口分布配置ディテール03
We can basically say that the population of certain place is directly proportional to a gross area of certain building. Therefore, we can add values of population to each nodes.

01_人口分布・人口配置

To consider the outside population distribution of this area, we divide outside area into 6 super nodes, and add the values as attributes.

  1. Walking + JR (Japan Railway): Heatmap (the individual values represented as colors. Red shows high values and blue shows low value)
    人口分布重みつき_minisum_to_come_walk
    Walking + JR: Top 100 Ranking
    人口分布重みつき_minisum_to_come_walk_best100
    Walking + JR: 1st was Higashi-Ōme Station
    人口分布重みつき_minisum_to_come_walk_rank1
  2. Car accessibility: Heatmap (the individual values represented as colors.人口分布重みつき_minisum_to_come_carCar accessibility: Top 100 Ranking
    人口分布重みつき_minisum_to_come_car_best100
    Car accessibility: 1st was Nishi-Tama health center
    人口分布重みつき_minisum_to_come_cark_rank1