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Table 5 Variables’ descriptive statistics included in the final regression estimation

From: Exploring the relationship between urban freight demand and the purchasing behaviour of a University

 

Variables

N

Min

Max

Mean (% pop.)

Std. Dev.

DV*

Frequency of purchase order (PO)

424

1

4

1.6580

.97172

Socio-demographic

Female

424

0

1

.6274

.48408

Administrative and Professional (e.g. Library, Clerical, Administrative, Managerial)

424

0

1

.5943

.49160

Specialist, Technical and Professional (e.g. Technicians)

424

0

1

.1226

.32841

Operational Services (e.g. Ancillary, Cleaning and Catering, Porters, Farm Workers, Grounds Staff, Maintenance, Security)

424

0

1

.0189

.13622

Freight type

Raised PO for “Chemicals (hazardous or otherwise)’

424

0

1

.2783

.44869

Raised PO for “Bulk gases, oils, fuels, etc.”

424

0

1

.1462

.35375

Raised PO for” Furniture”

424

0

1

.2642

.44140

Purchasing behaviour statements

I make purchases using a University purchasing card

424

0

1

.2170

.41268

I (and maybe others) collect all our needs together and place an order once or twice a week)

424

0

1

.0495

.21722

I don’t order goods with any regular repeating pattern

424

0

1

.6038

.48969

Expected delivery by next day

424

0

1

.3090

.46261

Expected delivery by as soon as possible

424

0

1

.4953

.50057

Location based: King’s Gate (Main Central Administration office of the University)

424

0

1

.2193

.41429

Private Purchase

Do you order goods or services for HOME and have them delivered to a WORK address

424

0

1

.1910

.39358

Composite of standardised (private) purchasing behaviour related statements

424

0

1

.0033

.44839

  1. *Dependent Variable