Next Article in Journal
A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors
Previous Article in Journal
Decentralized Transaction Mechanism Based on Smart Contract in Distributed Data Storage
Previous Article in Special Issue
Motivation Perspectives on Opening up Municipality Data: Does Municipality Size Matter?
Article Menu

Export Article

Open AccessArticle
Information 2018, 9(11), 287; https://doi.org/10.3390/info9110287

Quantifying Bicycle Network Connectivity in Lisbon Using Open Data

NOVA Information Management School (NOVA-IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-032 Lisbon, Portugal
This paper is an extended version of our presentation in the workshop “Open Data for Open Cities V 2.0”, Lund, Sweden, 12 June 2018.
*
Author to whom correspondence should be addressed.
Received: 31 October 2018 / Revised: 14 November 2018 / Accepted: 15 November 2018 / Published: 17 November 2018
Full-Text   |   PDF [10360 KB, uploaded 17 November 2018]   |  

Abstract

Stimulating non-motorized transport has been a key point on sustainable mobility agendas for cities around the world. Lisbon is no exception, as it invests in the implementation of new bike infrastructure. Quantifying the connectivity of such a bicycle network can help evaluate its current state and highlight specific challenges that should be addressed. Therefore, the aim of this study is to develop an exploratory score that allows a quantification of the bicycle network connectivity in Lisbon based on open data. For each part of the city, a score was computed based on how many common destinations (e.g., schools, universities, supermarkets, hospitals) were located within an acceptable biking distance when using only bicycle lanes and roads with low traffic stress for cyclists. Taking a weighted average of these scores resulted in an overall score for the city of Lisbon of only 8.6 out of 100 points. This shows, at a glance, that the city still has a long way to go before achieving their objectives regarding bicycle use in the city. View Full-Text
Keywords: bicycle network analysis; levels of traffic stress; sustainable mobility; open data; bicycle network connectivity; BNA score bicycle network analysis; levels of traffic stress; sustainable mobility; open data; bicycle network connectivity; BNA score
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Abad, L.; Van der Meer, L. Quantifying Bicycle Network Connectivity in Lisbon Using Open Data. Information 2018, 9, 287.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top