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Module Title:
Transport Data Collection & Analysis
© UNIVERSITY OF LEEDS
Institute for Transport Studies
August 2022
Calculator instructions:
ï‚· You are allowed to use a calculator or a computer calculator in this assessment.
Dictionary instructions:
ï‚· You are allowed to use your own dictionary in this assessment and/or the Spell
Checker facility on your computer.
Assessment Information:
ï‚· There are 4 pages to this online assessment.
ï‚· You will have 48 hours to complete the assessment.
ï‚· You should expect to complete the exam in 4 hours.
ï‚· This assessment is worth 50% of the overall module mark.
ï‚· This assessment has two sections, Section A and Section B.
ï‚· Each section has two questions worth unequal marks.
ï‚· Answer ALL questions.
ï‚· The deadline for submission of your assessment is 18th August 2022 at 09:00am.
 Please submit your assessment to the ‘Submit Your Work’ area in the module’s
Minerva page.
ï‚· Please include your Student Identification Number (SID) in the title of your
submission.
ï‚· Your answers must be typed. Hand-written equations and hand-drawn sketches can
be pasted as images into the documents.
ï‚· Sketches should be clearly labelled.
ï‚· You are required to submit one file, including the calculations, graphs,
interpretations, and discussion.
ï‚· If there is anything that needs clarification or you have any problems, please email
c.calastri@leeds.ac.uk and j.e.tate@its.leeds.ac.uk and we will respond to you as
quickly as possible within normal working hours UK time (9:00-17:00 hours, MondayFriday).
ï‚· You must not discuss or share the content of or answers to this assessment, with
any fellow students, any staff or other contacts outside the school or the University’s
professional services. School contacts available to you will be detailed in the bullet
point above.
Page 1 of 4
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SECTION A
Answer both questions in this section
You are provided with a dataset to be used in both questions. You are asked to conduct
statistical analyses on this dataset, and to discuss the results. You can either conduct the
analyses by hand or by using software. Whichever method you use, you should present the
main steps in your analysis. For example, do not just provide numerical estimates derived
from software, without explaining the basis for how they were calculated (e.g. if using Excel,
make it clear which Excel functions were used, how, and what those functions do). If you
are conducting the analyses by hand, then statistical tables can be found on the module
Minerva website.
Question 1:
Dataset 1 (filename: TDCA_Dataset1.XLS) shows data from two bicycle speed detectors in
London, the first column giving the data from location “Embankment” and the second column
data from location “Blackfriars”. The speeds were recorded in miles per hour (mph) from
07:00 – 07:05 on Friday May 18th.
a. The data from the Embankment site are illustrated in Figure 1.
Describe the distribution of the data from Embankment. Support
your description by calculating appropriate summary measures
from the raw data for Embankment in the spreadsheet.
5 marks
b. Calculate a 95% confidence interval for the true mean speed of
bicyclists passing the Embankment detector. Justify that any
assumptions you need to make are reasonable for this data-set.
Interpret the meaning of the confidence interval so as to be
10 marks
Page 2 of 4
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understandable to an intelligent person who does not know
statistical methods.
c. It is later discovered that the recorded data has missed a number
of higher-speed electric bikes. Discuss, with reasons, what the
likely impact on your answers to Q1a) and Q1b), if these missing
data had been included.
10 marks
Question 2:
a. Calculate summary statistics for the Blackfriars bicycle speeds.
What can you say about the two locations from comparing with
the summary statistics for Embankment?
5 marks
b. Test the hypothesis that the true mean speed of cyclists passing
the Blackfriars detector is greater than the true mean speed of
those passing the Embankment detector. Clearly state any
assumptions you need to make for your analysis.
10 marks
c. Explain significance level and p-value in terms of your answer to
Q2b).
10 marks
Page 3 of 4
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SECTION B
Answer all three questions in this section
Question 3:
Explain the concepts of ecological validity and controllability of data
collection. Focusing on stated preference surveys, simulator studies and
naturalistic road studies, describe the ecological validity and controllability in
these types of studies, providing examples to support your answer.
15 marks
Question 4:
You are tasked to find out the average distance travelled by bus by different
socio-demographic groups of Leeds residents. You have access to data
from a survey where respondents were asked to provide their sociodemographics, if they have a bus pass and what kind of pass, but no
information about distance travelled by this mode. How could you infer the
information on distance? Informed by the literature, suggest a suitable
approach using secondary data.
10 marks
Question 5:
A research study aims to find out the factors influencing the intention to
purchase electric vehicles via a short survey.
a) Informed by the literature, formulate a short survey (4-5 carefully
designed questions). Ensure that you maximise the information
acquired while keeping the survey short, clear and easy to complete.
15 points
b) Suggest a target population for the study and recruitment strategy
(including potential incentives) to achieve representativeness,
assuming that you have a small budget.
10 points
Page 4 of 4
End
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