Research Article

Research on Nonlinear Associations and Interactions for Short-Distance Travel Mode Choice of Car Users

Table 2

Explanatory variable descriptive statistics.

VariablesDescriptionMeanSD

Demographic characteristics
AgeBelonging to the age.
{1 = 18–30, 2 = 31–40, 3 = 41–50, 4 = 51–60, 5 = 61–70}
2.071.16
SexMale or female. {0 = female, 1 = male}0.620.48
EducationEducation level.
{1 = low, 2 = medium, 3 = highly}
2.100.68
OccupationType of occupation.
{1 = self-employed, 2 = employed, 3 = retirement, 4 = other}
2.280.91
IncomeAnnual family income (10,000 RMB).
{1 = below 5, 2 = 5–20, 3 = above 20}
2.100.62
Car useCar domination rights, it also means car usage in daily life.
{1 = totally at my disposal, 2 = used primarily by me, 3 = used primarily by family}
1.850.79
Travel costDaily acceptable transportation expenses (RMB).
{1 = below 10, 2 = 10–40, 3 = above 40}
1.940.63

Built environment
Road densityRoad network density (km/km2).6.642.51
Intersection densityNumber of road intersections in the area (count/km2).3.303.01
Land use mixLand use diversity index, calculated by the land use entropy formula.0.570.15
CBD distanceDistance from residence to central business district (km).9.897.65
Bus stopNumber of bus stops in the area (count).11.225.95
Bus routeNumber of bus lines in the area (count).13.7610.14
Bus distanceDistance from residence to nearest bus stop (km).0.200.10
Subway distanceDistance from residence to the nearest subway station (km).1.431.29

Travel information
Travel distanceTravel distance (km).2.731.09
Trip purposeTrip purpose.
{1 = commute, 2 = entertainment, 3 = official business, 4 = other}
2.051.03