Contextual
and Demographic Data Collected in Car Driver Survey
In the
initial multinomial logit modelling of the combined Auckland and Wellington data
for the car driver survey, it became apparent that modelling for the two cities
was better done separately due to the significantly varying nature of the
population. Christchurch is somewhat unique again, thus we present the database
description for the three cities individually. The discussion of the database
information is quite detailed because, as may be expected, the characteristics
of the respondents in our sample give
some indication of how they are likely to respond to the scenarios presented to
them in the survey.
We
compared the demographic and other contextual data from our database with that
of the Land Transport Safety Authority’s 1998/99 Household Travel Survey (HTS)
to ascertain the validity of our sample. Aside from some differences in coding
in responses, we found our sample to be quite similar in composition to that of
the HTS.
In
the car driver survey, we collected the following information:
·
Household composition
·
Age (of respondent)
·
Gender
·
Employment status
·
Household and personal income (Christchurch only)
·
Frequency of driving car to work
·
Ownership of vehicle driven
·
Parking at work or place of study
·
Amount paid for parking
·
Use of car during work hours for work-related business
·
Trip-making habits (number of stops before work, number and purpose of
trips during day, whether or not they crossed the “cordon” / toll line we
had put in place)
·
Where they lived and worked
·
Driving children to school
A
detailed database description can be found in the
pdf file: Description and attitudes of sample
population.
Perceptual Barriers to Using Passenger Transport
Introduction
In
order to understand how we are analysing the perceptual barriers car drivers
have to using passenger transport, it is necessary to know something about the
structure of the survey.
In the car driver survey,
respondents were presented with nine scenarios which had at least one change in
either the costs or ease of driving their car to work/ place of study or in the
provision or costs of bus / train / ferry services. In some scenarios, there
could have been multiple changes to the current driving environment. Where the
cost of driving was affected, it was always an increased cost while passenger
transport changes were designed to make it cheaper or more convenient to use.
After looking the scenario
over, respondents were asked to visualize that the scenario was in place on the
day in question (based on the day for which a trip diary was created) and to say
how they would have travelled to their work or place of study. When a respondent
said that they would not have used their car to travel on that day, we asked
them what element of the scenario had caused them to say they would change how
they travelled. The first time that a respondent said they would probably
continue to drive their car, we asked them why it was unlikely they would use
passenger transport if faced with higher car driving costs or the potential for
better passenger transport services. We asked respondents to identify all
reasons as well as their main reason for not choosing passenger transport. The same process
was followed for the remaining 8 scenarios.
Sources
of attitudinal information
In
addition to the open-ended question about why they were unlikely to use
passenger transport even if car driving costs were increased or passenger
transport services were improved, we also sought respondents’ replies to
several attitudinal statements, namely:
Respondents
were asked to rate their responses on a 5-point Likert scale.
We
found that 77% of all respondents felt safe either waiting for or riding on
passenger transport services. Not surprisingly, perhaps, women felt a little less
safe, although the gender differences were not large.
There
appears to be a “hard core” of drivers
(19%) who are unlikely to use passenger transport even it is free to
ride. However, over one-half (54%) of the respondents stated that they would be
happy to share a ride to and from work if someone could organise it.
People
who drive company cars, are self-employed, or use their car during the day for
work-related business are much less likely to choose to use passenger transport
or to ride-share.
Further
results and analysis of the attitudinal statements can be found in the pdf file:
Description and attitudes of sample
population
Further
analysis of perceptual barriers to using passenger transport will be available
during 2002.