Data-driven micromobility network planning for demand and safety

Pietro Folco, Laetitia Gauvin, Michele Tizzoni, Michael Szell

Publikation: Artikel i tidsskrift og konference artikel i tidsskriftTidsskriftartikelForskningpeer review


Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micromobility infrastructure is typically planned ad-hoc and at best informed by survey data. Here, we study how data of micromobility trips and crashes can shape and automatize such network planning processes. We introduce a parameter that tunes the focus between demand-based and safety-based development, and investigate systematically this tradeoff for the city of Turin. We find that a full focus on demand or safety generates different network extensions in the short term, with an optimal tradeoff in-between. In the long term, our framework improves overall network quality independent of short-term focus. Thus, we show how a data-driven process can provide urban planners with automated assistance for variable short-term scenario planning while maintaining the long-term goal of a sustainable, city-spanning micromobility network.
TidsskriftEnvironment and Planning B
Udgave nummer0
Sider (fra-til)1-16
Antal sider16
StatusUdgivet - 22 okt. 2022


Dyk ned i forskningsemnerne om 'Data-driven micromobility network planning for demand and safety'. Sammen danner de et unikt fingeraftryk.