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Fig 1.

Development of yearly bicycle sales [mln.

] in Germany based on data from [2].

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Fig 1 Expand

Table 1.

Literature overview about influencing factors on e-bike ownership.

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Table 1 Expand

Fig 2.

Spatial typology of 1km grid cells.

Grid cell position from [33] and spatial typology of grid cells based on [34], both under DL-DE- > BY-2.0 license.

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Fig 2 Expand

Fig 3.

Average terrain gradient [%] of 1km grid cells.

Grid cell position from [33] under DL-DE- > BY-2.0 license, gradient based on data provided by [35].

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Fig 3 Expand

Table 2.

Descriptive statistics of variables at person-level.

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Table 2 Expand

Fig 4.

Boxplot of average gradient near residential location at person-level.

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Fig 4 Expand

Fig 5.

Bicycle ownership across age groups.

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Fig 5 Expand

Fig 6.

Tested nesting structures.

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Fig 7.

Decision structure of the multivariate probit model.

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Fig 7 Expand

Table 3.

Parameter values for the nested logit model.

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Table 3 Expand

Table 4.

Parameter values for the multivariate probit model.

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Table 4 Expand

Table 5.

Comparison of model properties.

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Table 5 Expand