This dataset aims to map the existing Bike Bus initiatives worldwide, identify their diversity, and understand their challenges and motivations. The dataset is divided into two files: the BB_database, which maps the name, location, and contact (when available) of the bike bus initiatives that we could find, and the BB_survey, which contains the data resulting from an online survey aimed at Bike Bus organizers identified through the BB_database. The data from the survey includes information on the name of the Bike Bus initiatives, location, organizing actors, starting year, contact details, route characteristics (travel time, distance, frequency, and space to cycle), participants (number of children and adults, age, and gender), and management (child supervision, goals, barriers, motivations and challenges). Most of the initiatives are in Catalonia and Spain, yet the database includes Bike Buses worldwide.

Data was derived from unpublished master dissertation: Martín, S. (2022). BiciBús in Catalonia: Rutes and characteristics of the bike-train movement. Institute of Environmental Science and Technology at the Universitat Autònoma de Barcelona.

1. Description of methods used for collection-generation of data: The following data comes from a mapping excercise of Bike Buses and an online survey aimed at Bike Bus organizers. It builds on the online survey by Martín (2022) for her master's thesis. In this firt phase of the project leaded by Martín (2022) respondents were approached via social media and email from an archival analysis in Google, Facebook, Instagram, and Twitter (now X) using the keyword "Bicibus". The rest of the respondents were approached using the snowball sampling method. The scope of this first survey was Spain, and it was available in Spanish and Catalan. The survey received 19 responses during this phase. The second phase of the data collection expanded the scope of the survey internationally. The questions were translated into English, and the literature review was done adding the search engines Google Scholar and Scopus, using the keywords "Bike Bus" and "Bike Train". By the end of the data collection, the survey received 143 responses.

2. Methods for processing the data: We used descriptive analysis for the quantitative data using Excel. And thematic analysis to analyze the open-ended questions using Atlas.ti.