Bike sharing services

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Bike sharing services

Use case: Bike sharing services

Needs and requirements in the planning of bike sharing services addressing gender

The bike sharing services’ use case had the objective to research on women’s needs as users of bike sharing services and increase the percentage of women using them, as well as support the development of policies for the management of bike sharing fleets in a more gender-equitable way.

Convenience, harassment, abuse from other road users, travelling with children, cost, access, logistics, knowledge and experience are common barriers to cycling and bicycle-sharing fleets’ usage by women. This DIAMOND’s use case studied the factors that influence women’s acceptability and usage of bike sharing services.

Expected results

Guidelines for a more inclusive bicycle sharing services
A list of factors influencing women as users of shared bikes and the interdependences between them
Datasets about female users of bike sharing services
An auto-diagnosis tool to carry out self-assessments of bike sharing infrastructure and services from a gendered perspective.

Bicycle sharing sector

Bike sharing services are an innovative solution to the urban mobility challenges and an effective way of promoting urban cycling and contributing to a more sustainable and environmentally friendly mobility.

There are significant factors, such as the accessibility, availability or safety, that can influence individuals’ decision on the use of public bike sharing services, especially in women’. However, gender-related challenges and barriers have not been studied enough in the design of infrastructures and services.

Developing more inclusive bicycle sharing services could attract a more diverse representation of users and increase the percentage of women using these services.

Data collection tools

Different tools are used to gather data related to bike sharing services use case

Structured data: fixed data regarding the pick-up/return stations’ settings and the operation of the service contained in related official databases. The aim of this data collection was the identification of a short list of relevant bike sharing points managed by VELIB within the Metropolitan Area of Paris, where to perform further data collection actions.
Observations: on-site observations in bike pick-up and return stations focusing on infrastructure design and surrounding context characteristics for the inclusion of women’s needs in bike sharing services’ operation. These observations were focused on the sample of bike sharing pick-up and return points previously selected and managed by VELIB, the self-service bicycle service operating in Paris metropolitan area.
Social media data: focused on analysing information from Twitter on user’s opinion about bike-sharing services.
Focus groups: workshops with users of bike sharing services focused on the collection of design criteria influencing the number of women using bicycle sharing fleets by time period during the day.
Literature review: collection and evaluation of the available literature in studies related to bike sharing services and women’s needs as users of these services.

Surveys to users: questionnaires focused on profiling the socio-demographic characteristics and mobility patterns of passengers and evaluating their satisfaction regarding bike sharing service and infrastructure design. The participants were asked to compare and evaluate different criteria according to their experience using bike sharing fleets to analyse users’ satisfaction and perception regarding bike sharing services and infrastructures. These surveys helped investigate and determine the factors that influence people in using these bike services

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