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On Bicycles : A 200-Year History of Cycling in New York City
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ISBN: 0231544243 9780231544245 9780231182560 0231182562 Year: 2019 Publisher: New York, NY : Columbia University Press,

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Abstract

Subways and yellow taxis may be the icons of New York transportation, but it is the bicycle that has the longest claim to New York's streets: two hundred years and counting. Never has it taken to the streets without controversy: 1819 was the year of the city's first bicycle and also its first bicycle ban. Debates around the bicycle's place in city life have been so persistent not just because of its many uses-recreation, sport, transportation, business-but because of changing conceptions of who cyclists are. In On Bicycles, Evan Friss traces the colorful and fraught history of cycling in New York City. He uncovers the bicycle's place in the city over time, showing how it has served as a mirror of the city's changing social, economic, infrastructural, and cultural politics since it first appeared. It has been central, as when horse-drawn carriages shared the road with bicycle lanes in the 1890s; peripheral, when Robert Moses's car-centric vision made room for bicycles only as recreation; and aggressively marginalized, when Ed Koch's battle against bike messengers culminated in the short-lived 1987 Midtown Bike Ban. On Bicycles illuminates how the city as we know it today-veined with over a thousand miles of bicycle lanes-reflects a fitful journey powered, and opposed, by New York City's people and its politics.


Book
Active Balancing of Bike Sharing Systems
Author:
ISBN: 3030350126 3030350118 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book reports on an operational management approach to improving bike-sharing systems by compensating for fluctuating demand patterns. The aim is to redistribute bikes within the system, allowing it to be “actively” balanced. The book describes a mathematical model, as well as data-driven and simulation-based approaches. Further, it shows how these elements can be combined in a decision-making support system for service providers. In closing, the book uses real-world data to evaluate the method developed and demonstrates that it can successfully anticipate changes in demand, thus supporting efficient scheduling of transport vehicles to manually relocate bikes between stations.

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