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.
| Translated title of the contribution | Pedal without fatigue: Analysis of urban cycling infrastructure based on pedalling energy |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 273-292 |
| Number of pages | 20 |
| Journal | Documents d'Analisi Geografica |
| Volume | 65 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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