Mobility patterns tend to be gendered in terms of where, when, and why people take trips. Transportation planning—both for modes and infrastructures—often do not take into account diverse users’ needs. For example, the need for safety can restrict mobility for specific women, gender nonconforming individuals, and the elderly.
Understanding gender-specific needs across populations of different genders, ages, religions, ethnicities, socioeconomic status, etc. can add new perspectives to the collection of transportation data and design. Participatory research enables new services to be conceptualized from the perspective of users from across broad populations. This can add new insights for: 1) relevant functionalities, i.e. what services are needed; 2) configuration of vehicles and infrastructures, i.e. vehicle features and routes; and 3) technologies used to access services.
1. The Mobility of Care. National Household Travel Surveys underrate trips performed as part of caring work, i.e., doing errands to meet household needs or to accompany others. Reconceptualizing data collection to include caring work as a dedicated category allows transportation engineers to design systems that work efficiently for broader segments of the population.
2. Enhancing Public Transportation. The LivingLab in Germany used participatory research to understand the needs of their riders. As a result, they introduced smaller buses with flexible routes and a dense pattern of flexible stops that allowed people to get on or off a bus close to the start or end of their journey. This made public transport more user-friendly and efficient for all users—women, men, gender-diverse people, and people from differing socioeconomic and regional backgrounds.
3. A Toolbox for Gender-Sensitive Decision Making. Developing and applying methodologies to assess gender-specific needs can improve mobility options for more passengers, and simultaneously promote environment-friendly mobility behaviors.
4. New Safety Features for Ride-Hailing Services. Numerous innovations surround safety concerns for women, LGBTQ+ individuals, and older people using ride-hailing services. One such innovation is SafetiPin, developed in Delhi, India, in response to the fatal gang rape of a 23-year-old woman in 2012. Using crowdsourced information and safety audits, SafetiPin calculates the safest route between two locations.
Mobility patterns are gendered. Typically, one can still observe gender norms, gender-specific divisions of labor in households, and gender disparities in resources. Gendered household labor is particularly important on the demand side, since trips related to caring—running the household, errands or caring for others—are different from commuting to work. Another set of issues has to do with safety. On the supply side, urban transportation is increasingly offering smart mobility options underpinned by information and communications technology (ICT) platforms designed to ease access to transportation services and to personalize modern transportation. These developments, however, have largely ignored gender (Nobis & Lenz, 2009; Nobis & Lenz, 2019; Lenz, 2020).
To close the gap between gender-specific needs and new smart mobility services, we need to: 1) understand gender-specific needs across populations of different genders, ages, religions, socioeconomic status, etc.; 2) develop and apply gender-sensitive methodologies to assess those needs and to co-create services that enhance mobility options.
Effective transportation systems rely on Big Data. Transportation planners collect data to understand how people use different modes of transport—cars, bikes, trains, subways and buses. The gendered innovation is to reconceptualize how data are collected and analyzed.
Researchers examining public transport often categorize trips by purpose to better understand existing transportation patterns and to plan infrastructure changes. Traditional categories used in transportation surveys collect information about trips for employment, education, shopping, leisure and the like (see graph below—left side). Categories used by the U.S. National Household Travel Survey (NHTS, 2017), for example, include work, school/day-care/religious activity, medical/dental services, shopping/errands, social/recreational, transport someone, meals out-of-home, home, something else. These roughly correspond to those used by most European National Travel Surveys.
The innovative concept “mobility of care” reveals significant travel patterns otherwise concealed in data collection variables (Sánchez de Madariaga, 2009, 2013). The charts below represent public transportation trips made in Madrid, Spain, in 2014. The first chart (left) graphs transportation data as traditionally collected and reported. It privileges paid employment by presenting it as a single large category. Caring work (shown in red) is divided into numerous small categories and hidden under other headings, such as escorting, shopping and leisure.
The second chart (right) reconceptualizes public transportation trips by collecting care trips into one category. Visualizing care trips in one dedicated category recognizes the importance of caring work and allows transportation engineers to design systems that work well for broader segments of the population (Sánchez de Madariaga & Zucchini, 2019).
Method: Reconceptualizing Data Collection
Reconceptualizing data collection is important because women perform a relatively large share of accompanying trips. They make more short trips and more chained trips than men (Allen and Alam, 2019). Women also tend to prefer shorter distances between home and the workplace. These observations are true in particular for households with two or more adults between the ages of 30 and 50. These differences do not apply to younger or single-person households (Nobis & Lenz, 2005).
To introduce dynamic ICT-based public transport services, a “LivingLab” was set up in Schorndorf, a city in the South of Germany, to experiment with gender-sensitive methodologies (LivingLab “Reallabor Schorndorf,” 2018; Gebhardt et al., 2019). The objective was to make public transport more user-friendly and efficient. To this end, conventional public transport was transformed into an on-demand bus service at times when demand tended to be low and variable, such as evenings and weekends. The service used a digital platform with access via a smartphone app, the internet or a telephone. The LivingLab introduced smaller buses with flexible routes and a dense pattern of flexible stops that allowed people to get on or off the bus close to the start or end of their journey. Users did not have to walk to traditional designated bus stops.
This gender-sensitive on-demand service addressed the specific needs of women and contributed to the comfort of all users in need of safe and efficient off-peak services:
• Users, especially young women and girls, found the on-demand bus provided a safe way home. Longer walks from the flexible bus stop to home, sometimes leading through pedestrian subways, could be eliminated. At the same time, waiting times for the bus were considerably reduced.
• Smaller on-demand buses provided an improved feeling of safety for people travelling in the evening or at night, as all seats were close to the driver. (The need for the presence of a driver to ensure safety was a reason women argued against autonomous vehicles.) Providing mobility services that are perceived as safe enhances options for out-of-home activities, especially for elderly people who often restrict those activities to daylight hours (Giesel & Rahn, 2015).
The LivingLab included participatory research, where users contributed to concepts and evaluated designs (see below). Users emphasized a need for multi-functional spaces in the on-demand vehicle that could accommodate strollers, shopping trolleys or walking aids, required by elderly passengers in particular. A curb-to-bus ramp allowed barrier-free access to the vehicle for passengers and their equipment.
While designed with women in mind, this project has the potential to improve safety for all users—men, gender-diverse people and people from diverse socioeconomic and regional backgrounds.
Method: Co-Creation and Participatory Research
The LivingLab used co-creation and co-design, also known as participatory research, to investigate different user groups and their needs when designing the new mobility services. These methods enable new services to be conceptualized from customer perspectives and include a gender-sensitive framework. This method added new insights to: 1) the relevant functionalities, i.e. what services are needed; 2) the configuration of vehicles and infrastructures, i.e. vehicle features and routes; and 3) relevant ICT access to the service.
How can we create public transportation systems that best serve users’ needs?
Gendered Innovations:
1. Reconceptualizing Data Collection. Transportation planners collect data to understand how people use different modes of transport, such as cars, bikes, trains, subways, and buses. The gendered innovation here is to reconceptualize how data are collected and analyzed.
Transportation experts often categorize trips according to purpose to better understand existing transportation patterns and to plan infrastructure changes. The innovative concept “mobility of care” reveals significant travel patterns otherwise concealed in traditional data collection variables.
The charts below represent public transportation trips made in Madrid, Spain, in 2014. The first chart (left) graphs transportation data as traditionally collected and reported. It privileges paid employment by presenting it as a single large category. Caring work (shown in red) is divided into numerous small categories and hidden under other headings, such as escorting, shopping, and leisure. The second chart (right) reconceptualizes public transportation trips by collecting care trips into one category. Visualizing care trips in one dedicated category recognizes the importance of caring work and allows transportation engineers to design systems that work well for broader segments of the population.
Method: Reconceptualizing Data Collection
2. Enhancing Safety for Vulnerable Groups. Numerous innovations surround safety concerns for women, LGBTQ+ individuals, and older people using ride-hailing services. One such innovation is SafetiPin, developed in Delhi, India, in response to the fatal gang rape of a 23-year-old woman in 2012. Using crowdsourced information and safety audits, SafetiPin calculates the safest route between two locations. Safety information can also be shared with city authorities; Delhi, for example, improved lighting in over 5,000 locations in response to user data. SafetiPin now operates in 63 cities across 16 countries.