Dataplatform
The data world of mobility is full of gaps and biases. Our platform “MobiliDat” highlights the many untapped potentials of innovative mobility and helps in the development of inclusive mobility solutions.
Data is at the heart of almost every mobility solution and key to any decision-making process. But do you already know all the gaps and biases in (your) mobility solutions? Are you already using the full potential of this data?
We bring the people into data
Our platform “MobiliDat” offers a comprehensive and constantly growing knowledge & data pool on gender & mobility in Austria and Europe. A data audit helps to identify and make visible hidden biases in algorithms and data. The in-depth analysis, processing and use of mobility data enables the design of inclusive solutions and products that take into account the needs of all users.
Warum Mobilität (noch) nicht neutral ist
Mobilitätsdaten sind nicht neutral. Geschuldet sind dies vor allem historisch gewachsene Datensätze, homogenen Entwicklungsprozesse sowie Unwissen zu unterschiedlichen Bewegungsmustern. Darüber hinaus sind Mobilitätserhebungen oft sehr rudimentär gestaltet und decken kaum die Wegezwecke von Frauen ab. Die daraus resultierenden Daten sind demnach nicht repräsentativ für die weibliche Bevölkerung und verraten vergleichsweise mehr über männliche Bewegungsmuster. Männliche Bedürfnisse werden somit oft fälschlicherweise zum Status Quo der Gesellschaft erhoben.
Faktoren wie Geschlecht oder Sorgearbeit beeinflussen unsere Mobilität. Die derzeit verfügbaren Mobilitätsangebote sind jedoch meist nicht auf die daraus entstehenden Bedürfnisse ausgerichtet. Beispielsweise fokussieren viele öffentliche Mobilitätsangebote auf Stoßzeiten, das kann beispielsweise für Familien mit Kindern oder teilzeit arbeitende Personen eine Herausforderung sein.
Why mobility is not (yet) neutral
Mobility data is not neutral.
This is mainly due to historically grown data sets, homogeneous development processes and lack of knowledge about different movement patterns. In addition, mobility surveys and research are often very rudimentary and hardly cover the travel purposes of women.
These resulting gaps have several severe implications. Let the number speak for themselves: Car safety measures do not take female body masses into account. The consequences of this are frightening. Women are 48% more likely to be seriously injured and 71% more likely to be slightly injured compared to men.
Factors such as gender or care work influence our mobility. However, the mobility services currently available are mostly not geared to the needs that arise from these factors. For example, many public mobility services focus on peak times, which can be a challenge for families with children or people working part-time. The resulting data are often not representative of the female population. Male needs are thus often falsely elevated to the status quo.
In a nutshell: the Gender Data Gap
The Gender Data Gap refers to the lack of data on women, which puts women at a systematic disadvantage.
Women have historically often not been surveyed and even today there is a lack of focus on gender-specific data collection. This leads to a skewed data base on which modern algorithms learn and shape the reality of our lives.
Be part of the change
Do you want to use the full potential of mobility data? Whether it’s expertise, data or sharing experiences. Be part of the journey and bring diversity to mobility data with us.
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