Bike Theft

The risk of bike theft is often cited as a reason for not purchasing a bike. Fear of bike theft severely limits cycling mobility in many cities. 

Those who enjoy recreational cycling with expensive bikes rarely use their high-end bike for daily mobility, citing the fear of bike theft. Fear of bike theft also has motivated city governments and private ventures to invest in protected bike structures. However larger and permanent bike structures are difficult to replicate at scale because of their size, expense, and extensive public space that some may occupy. Fear of bike theft has also been cited by parents as a reason why they are unwilling to let their children ride their bikes to school. But are these fears of bike theft justified? What are the patterns in bike theft in the city? How many bikes are stolen per year? Why types of bikes? Which neighbourhoods and under which conditions?  What is the probability of bike theft per neighbourhood? Or by type of bike? Or time of day? Our research project aims to summarize what is known about the bike theft problem in Barcelona. 

We started by analyzing the bicycle thefts that took place in the city of Barcelona during the 2021. For that, we contacted the local police (Guardia Urbana and Mossos d’esquadra) who gave us the bicycle theft reports of the year 2021. The report is available in English and Catalan. The main figures of the study can be interacted with below.

BiciZen will help with:

  1. Raising the awareness of the bicycle theft issue and the necessity of reporting thefts.
  2. Recollecting theft data from the users and helping them to recover their bicycles when possible.
  3. Obtaining and merging theft data from different sources, to allow more in depth research on the topic.

We currently have two master students working on the issue of bicycle theft from different perspectives.

Read 194 times| Last modified on Wednesday, 31 May 2023 15:06
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Funding EU

The SMART-ER project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement #101016888. This result only reflects the author's view and the EU is not responsible for any use that may be made of the information it contains

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