01 — Structure 結構決定死傷01 — Structure Predicts Casualties
私人運具市佔 × 每千人死傷率(2025)Private-mode share × casualties per 1k (2025)
22 個縣市排成一條向上的斜線:居民愈依賴汽機車,死傷率愈高(r = 0.66)。這不是駕駛習慣的差異,是「有沒有得選」的差異。滑鼠移過任一點看縣市,點擊前往該縣市完整地圖。
22 counties form an upward slope: the more residents depend on cars and scooters, the higher the casualty rate (r = 0.66). It isn't a difference in driving habits — it's a difference in having a choice. Hover for counties; click through to each county map.
x:私人運具(汽機車)市佔率 · y:每千人交通事故死傷率(死亡+受傷,2025)· 虛線為最小平方迴歸線x: private motorized mode share · y: road casualties per 1k population (2025) · dashed line: OLS regression
02 — 17 Years 十七年死亡率賽跑02 — A 17-Year Race
縣市每十萬人死亡率 2009–2025County deaths per 100k, 2009–2025
十七年了,誰真的進步、誰原地踏步?點下方縣市晶片高亮單一縣市;黑線為人口加權全國平均(13.4 → 12.0,十七年僅降一成)。按「播放」看時間軸掃過。
Seventeen years on — who actually improved? Tap a county chip to highlight it; the black line is the population-weighted national average (13.4 → 12.0, down barely 10% in 17 years). Press play to sweep the timeline.
03 — Scenarios 2050 三情境推估03 — Three Scenarios to 2050
不同力道,不同未來:2008–2050Different effort, different futures: 2008–2050
黑線是歷史(30 日定義);亮綠線是「積極改善」路徑 — 2035 死傷減半、2050 死亡歸零;另外三個端點是悲觀/基準/樂觀情境的 2050 結果。切換「死亡/受傷」與情境,看選擇的代價。
Black = history (30-day definition); lime = the active-improvement path — halve by 2035, zero deaths by 2050. The three endpoints are the pessimistic / baseline / optimistic 2050 outcomes. Toggle metric and scenario to see what choices cost.
死亡採 30 日定義(與 Atlas A1 24 小時不可互比);積極改善路徑與里程碑出自街道願景白皮書;三情境為 5 年間隔推估點之線性連接。Deaths use the 30-day definition (not comparable to the Atlas's 24-hour A1). The active path and milestones come from the Street Vision whitepaper; scenarios connect 5-year estimate points.
資料夥伴 · 合作單位
In partnership with
