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Table 8 Census information chosen for clustering (translated by first author)

From: Integrating future trends and uncertainties in urban mobility design via data-driven personas and scenarios

I/H

Code

Description

Type

Use

Characteristics for categorisation

I

AGED

Detailed age

Numerical

Category

H

AREA

Primary residence area

Categorical

Category

Household values

H

NBPI

Number of rooms in the accommodation

Numerical

Cluster

H

NE5FR

Number of children aged 5 or under in the family (combined)

Numerical

Cluster

H

NE17FR

Number of children aged 17 or under in the family (combined)

Numerical

Reference

H

NPERR

Number of people in household

Numerical

Cluster

H

GARL

Reserved parking space

Categorical

Cluster

H

NA17

Economic activity in 17 positions

Categorical

Cluster

H

STOCD

Detailed housing occupancy status

Categorical

Cluster

H

TRANS

Main mode of transportation most often used to get to work

Categorical

Cluster

H

VOIT

Number of household cars

Numerical

Cluster

H

TYPL

Type of construction

Categorical

Cluster

H

SURF

Living area of residence

Ordinal

Cluster

Individual values

I

COUPLE

Declaration of life as a couple

Dichotomous

Cluster

I

CS1

Socio-professional category in 8 positions

Categorical

Cluster

I

DIPL

Highest degree

Categorical

Cluster

I

ETUD

Registration in an educational institution

Dichotomous

Cluster

I

ILETUD

Study location

Categorical

Cluster

I

ILT

Work location

Categorical

Cluster

I

IMMI

Immigration status

Dichotomous

Cluster

I

INAI

Birthplace

Categorical

Cluster

I

MOCO

Way of living together

Categorical

Cluster

I

MODV

Way of life

Categorical

Cluster

I

SEXE

Gender

Dichotomous

Cluster

I

STAT_CONJ

Marital status

Categorical

Cluster

I

STATR

Grouped professional status

Categorical

Cluster

I

TACT

Activity type

Categorical

Cluster

I

TP

Working time

Categorical

Cluster