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Table 6 Rare bicycle and car use

From: Less car, more bicycle? Generation Y as pioneers of changing everyday mobility in Germany

 

Model 1

Model 2

Variable

AME

(SE)

AME

(SE)

Year of survey

    

2002

(Ref)

(Ref)

(Ref)

(Ref)

2017

.0661566 ***

.0042783

.0233452***

.0045056

Gender

    

Male

(Ref)

(Ref)

(Ref)

(Ref)

Female

.0906985***

.0044004

.0627137***

.0045845

Cohort

    

1937–1952

.2063783

.0048565

.0230829***

.0065019

1953–1968

(Ref)

(Ref)

(Ref)

(Ref)

1969–1984

 − .0216083***

.0056116

.024755***

.0063724

1985–1999

.032835***

.0051375

.0935052***

.008961

Place of residence

    

Post-industrial metropolis

.2294762***

.0070944

.2241316***

.0070975

Other metropolis

.1419963***

.0099082

.1352556***

.0089728

Large cities/mid-sized towns

.0340138***

.0051765

.0289853***

.0050202

Rural areas

(Ref)

(Ref)

(Ref)

(Ref)

Educational status

    

Lower secondary

–

–

(Ref)

(Ref)

Higher secondary

–

–

 − .0254109***

.004533

Type of household

    

Single-person

–

–

(Ref)

(Ref)

Couple

–

–

 − .0579703***

.0058538

Three or more adults

–

–

 − .0712658***

.0086894

Family (children below age 18)

–

–

 − .1378613***

.0074987

Employment status

    

Full-time

–

–

 − .2582026***

.0077771

Part-time

–

–

 − .2251945***

.0083785

Non-employed

–

–

(Ref)

(Ref)

Observations

197.225

180.884

  1. Source: Mobility in Germany: MiD person-time-series dataset (own calculations)
  2. AME = Average Marginal Effects; * p < 0.05, ** p < 0.01, *** p < 0.001. Survey weights are applied