Customised Bus: Routes Crowdfunded by Riders
🤖 AI-generated summary of the sources below · 🔎 Last verified
This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.
Nanjing's bus group lets riders propose a line rather than request a stop. A passenger enters origin, destination and departure time in the Youdian Chuxing app or WeChat mini-programme; the back end clusters similar requests into a candidate alignment, then a WeChat group of those riders negotiates the details before pre-selling tickets. Only when at least sixty people have joined the group buy and paid does the operator survey the route. Four modes have grown out of it — commuting, corporate, university and tourism — and lines are reviewed weekly, with those below an occupancy threshold withdrawn. Fares start at 3 yuan for 10 km, rising 1 yuan per additional 5 km, with 1–2 yuan more for a guaranteed seat.
📊 Impact
By May 2023 Nanjing ran 350 customised routes carrying about 12,000 riders a day; by late 2024 the transport bureau reported 366 routes, 650,000 registered platform users and about 14 million yuan of annual revenue. Nearly 200 of the routes are commissioned by individual employers.
🎓 Lesson
Divide the numbers before quoting the superlative. Around 12,000 daily riders spread over 350 routes is roughly thirty-four people per route per day — a rounding error next to a metro network carrying millions, and a reminder that demand-responsive transit does its work in the gaps rather than at scale. The paid sixty-rider threshold is the transferable idea: it filters stated interest from revealed demand before a bus is committed.
Sources
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📎 Cite this project
1001 Smart Cities (2026). “Customised Bus: Routes Crowdfunded by Riders” — Nanjing, China. The Smart City Atlas. https://1001smartcities.org/projects/nanjing-customised-bus/ (last verified 2026-08-06). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.
