移動のパターンは、いつ、どこで、何のために移動するかという点で、ジェンダーに左右されがちである。交通手段やインフラの計画において、多様な利用者のニーズが考慮されていないことも多い。例えば、安全が確保されていないために、特定の女性、ジェンダー不適合の人々、高齢者の移動が制限されることがある。
性別、年齢、宗教、民族、社会経済的状況などの違いに加え、ジェンダー特有のニーズを理解すると、交通のデータ収集と設計に新たな視点を加えることができる。参加型の研究を行うことで、幅広い層の利用者の視点にもとづいた新しいサービスの構想が可能になる。これにより、次のような新しい分析情報を追加することができる。1)関連する機能、すなわち、どのようなサービスが必要か、2)車両やインフラの構成、すなわち車両の特徴やルート、3)サービス利用のための技術。
1. ケア・モビリティ: 全米世帯移動調査では、介護や育児の一環として行われる移動、つまり、家庭の用事や家族に付き添うための移動が過小評価されている。データ収集の考え方を変え、介護・育児労働を専用のカテゴリーとして含めることで、交通エンジニアはより多くの人々にとって効率的に機能するシステムを設計することができる。
2. 公共交通機関の充実: ドイツのリビングラボ(Living Lab)は、参加型調査を通して、利用者のニーズを把握した。その結果、小型のバスを導入し、フレキシブルなルートと、移動の出発点や目的地に近い場所で乗り降りできるフレキシブルな停留所を密に配置することに成功した。これにより、女性、男性、多様なジェンダーの人達、社会経済的背景や地域的背景の異なる人々など、すべての利用者にとって、公共交通機関がより使いやすく効率的になった。
3. ジェンダーに配慮した意思決定のためのツールボックス: ジェンダー特有のニーズを評価する手法を開発し適用することで、より多くの乗客の移動手段を改善し、同時に環境に配慮した移動の習慣化を促すことができる。
4. オンライン配車サービスの新しい安全機能: 女性、LGBTQ+の人達、高齢者がオンライン配車サービスを利用する際の安全性への懸念に対応する、数々のイノベーションがある。2012年に発生した23歳女性の集団レイプ事件を受けて、インドのデリーで開発された「SafetiPin」もそのひとつである。SafetiPinは、クラウドソースからの情報と安全性チェックを利用して、2地点間の最も安全なルートをはじきだす。
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.