Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone

Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone

This research describes numerical methods to analyze the absolute transport demand of cyclists and to quantify the road network weaknesses of a city with the aim to identify infrastructure improvements in favor of cyclists. The methods are based on a combination of bicycle counts and map-matched GPS...

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Bibliographic Details
Main Authors: Federico Rupi, Cristian Poliziani, Joerg Schweizer
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
GPS traces
cycling volumes
cyclists’ counts
cycling network
total deviation metric
route choice model
Online Access:https://www.mdpi.com/2220-9964/8/8/322

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