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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
Author to whom correspondence should be addressed.
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.
Information 2018, 9(11), 287;
Received: 31 October 2018 / Revised: 14 November 2018 / Accepted: 15 November 2018 / Published: 17 November 2018
PDF [10360 KB, uploaded 17 November 2018]


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

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

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