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Dimensions and characteristics of carsharing

Dimensions and characteristics of carsharing

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Thesis
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This mixed-methods research provides insights about gender preferences of urban women regarding innovative urban mobility solutions analysing the use of and the attitudes towards free-floating e-carsharing in urban areas from a gender perspective. This work provides the answer to the research question, what motivates urban women to use free-floatin...

Contexts in source publication

Context 1
... several carsharing concepts and introduced a distinction into categories that are used in this work as well to cluster the characteristics into the categories booking, use, payment and return of vehicles. The following Figure 3 summarises the dimensions and characteristics of carsharing. Please note that not all combinations are neither actual available nor possible. ...
Context 2
... understand these differences, the actual possibility of driving a car or bicycle must be analysed. Figure 13 shows how often respondents holding a driving licence have access to a car or bicycle as a driver or rider. There is no evidence for differences between women and men with or without children in the availability of bicycles. ...
Context 3
... section covers what urban residents think of cars and car ownership and how they perceive travelling by this mode with respect to gender differences. Figure 13 Availability of cars and bicycles as driver of urban dwellers, n=2,400 Figure 14 shows the agreement to several mobility-related statements comparing women and men with and without children. Approximately half of the male and female respondents stated that they could easily go to important destinations by car, with a marginal difference of men agreeing more than women. ...
Context 4
... addition, an FFECS provider could build a more attractive image for women, as this is more important for women than for men ). Figure 30 shows the goals, objectives and respective measures of a gender-sensitive communication. ...
Context 5
... mentioned before, charging stations and parking spaces need to be nearby places frequented by women. Figure 31 presents the developed measures according to elaborated goals and objectives. ...
Context 6
... moving is another key event that leads to the possibility to change mobility routines, these brochures and vouchers could be offered when people register at the registration authority of municipalities as it is statutory in Germany. In cooperation with municipalities, FFECS could be promoted as a sustainable and sufficient alternative to a private car at this crucial point of a person's life ( Figure 32). ...
Context 7
... following overview combines all the goals, objectives and measures according to the identified social constructs (Figure 33). ...
Context 8
... combination of cycling and FFECS is key to hight acceptance among urban women. A complete list of the elaborated measures is given in Figure 33 Overview combines all the goals and measures according to the identified social constructs that hinder women to adopt FFECS. The respective areas include measures aimed at the gendered meaning of mobility and related aspects. ...

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Preprint
Abstract The gender data gap describes the problem of missing or unproportional representation of women in data sets. However, the gender data gap goes beyond the pure composition of data sets. It also occurs when data do not contain the right information about the reality of women's lives in our society. Accordingly, to obtain realistic mobility data, such questions must be asked that reflect relevant aspects of women’s mobility. By insufficient and biased representation of women, mobility data sets lack scientific quality, leading to biased assumptions and recommendations for future mobility. This article provides recommendations to avoid a gender data gap in mobility by looking at empirical research in mobility. The relevance of gender and everyday mobility and an overview of the process of empirical research and its quality criteria are provided. The background of the Gender Data Gap in mobility is explained with five main gender biases in the field. Following the process of empirical research, recommendations are given using examples from the German Mobility Panel MiD 2017 and literature. These recommendations can be used to avoid a Gender Data Gap in mobility by showing how data can be systematically collected and used in a gender-sensitive way. The quality of mobility data can be improved by including women's perspectives on mobility.