Why does this matter?
Израиль нанес удар по Ирану09:28
，这一点在91视频中也有详细论述
高端电动两轮车市场的 “增量空间”，值得商榷。中泰证券测算的 “一线 + 新一线城市年销量增量 660 万台”，建立在 45% 渗透率的理想假设之上，但现实是，北京、上海等特大城市公共交通体系完善，两轮车渗透率天花板仅 40%-50%，且九号已占据高端市场半壁江山，向上的增长空间几近枯竭。而新一线城市因地形、地方政策、公共交通配套的差异，两轮车保有量存在显著方差，并非单纯依靠产品升级就能实现市场渗透，九号的拓店计划在重庆、成都等低渗透率城市已遭遇明显的水土不服。
Crucially, this distribution of border points is agnostic of routing speed profiles. It’s based only on whether a road is passable or not. This means the same set of clusters and border points can be used for all car routing profiles (default, shortest, fuel-efficient) and all bicycle profiles (default, prefer flat terrain, etc.). Only the travel time/cost values of the shortcuts between these points change based on the profile. This is a massive factor in keeping storage down – map data only increased by about 0.5% per profile to store this HH-Routing structure!