Abstract

An effective strategy for the promotion of cycling as urban transport is the design and implementation of cycling infrastructure, such as cycle paths, bicycle parking and bicycle-sharing schemes. The spatial location of these infrastructures is a key aspect to guarantee their success. In this contribution, we propose the extension of a method of analysis that takes into account the speed, slope, intersections and rolling surface to estimate the energy required for pedalling. In addition, we present a GIS-based assignment tool that enables modelling the service level of bicycle loan stations, optimising their location and determining the optimal routes to design a cycle path network using network analysis and localization algorithms with open data. The results demonstrate the viability of the method to support decision-making on urban cycling infrastructure.