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2012/13 Taught Postgraduate Module Catalogue

TRAN5031M Transport Data Collection and Analysis

15 creditsClass Size: 150

Module manager: Dr Frank Lai
Email: F.C.H.Lai@its.leeds.ac.uk

Taught: Semester 1 View Timetable

Year running 2012/13

Pre-requisite qualifications

Admissions to ITS masteres programmes

Module replaces

TRAN5030M

This module is not approved as an Elective

Objectives

- To ensure that students understand the process of transport survey design, are familiar with the range of survey techniques available and are able to judge which technique would be appropriate in which circumstances.
- To ensure that students understand the principles underlying the statistical analysis of transport data and are equipped to select and interpret appropriate statistical tests.
- To develop students' knowledge of transport data within their own specialism.

Learning outcomes
Understand transport data collection techniques and sources.
Also see skills.

Skills outcomes
- Develop data handling, statistical and analytical skills
- Develop data acquisition skills
- Develop data presentation and reporting skills.


Syllabus

- All students will take Statistics (50% of module).
- All students will take Data Collection Overview (16% of module)
- Then students into streams according to their degree scheme (33%)

Statistics: Summary measures; Normal, Binomial and Poisson distributions: confidence intervals: hypothesis testing; contingency tables; linear regression

Data Collection overview:
a. sources of transport data
b. transport data in developing countries
c. inventory and condition data
d. system usage data (demand)
e. speed, delay and congestion data
f. accident data
g. environmental data
h. trip matrix data
i. interviews and questionnaires.

In depth treatment as appropriate to degree scheme, ONE of: Engineering data collection and analysis (c, d, e, h); Environmental data collection and analysis (f, g); Data collection and analysis for Transport Planning and Transport Economics (a, i).

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lecture73.0021.00
Seminar42.008.00
Private study hours121.00
Total Contact hours29.00
Total hours (100hr per 10 credits)150.00

Private study

- Background reading
- Problem sets
- Exam revision

Opportunities for Formative Feedback

Progress will be monitored via coursework.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Report2,000 words33.00
Total percentage (Assessment Coursework)33.00

Analysis of data set relevant to degree scheme and report.


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 67.00
Total percentage (Assessment Exams)67.00

School policy is resit on first anniversary UNLESS a student requires fewer than three resits to be able to graduate.

Reading list

The reading list is available from the Library website

Last updated: 04/04/2016

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