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Utilizing Simulation Techniques in Sustainable Transport Planning

Question:

A2. Knowledge and critical understanding of investigative techniques in business analytics;

A3. The value of data to businesses, consumers and the economy as a whole, and the major mechanisms through which value is created from data;

A4. Different types of business analytics techniques and their roles in releasing the value of data.

Coursework Brief:

Consider a university’s ‘Sustainable Transport Plan’, which is a wide-ranging strategy for the transportation of students,staff and members of the public to travel to and from the university campuses sustainably. Major aspects of the plan examine the following:

• Travel to and from the university using uni-link buses and other public transport such as trains and taxis; the use of personal cars;

• Provision and usage of cycling and walking routes;

• Provision and usage of car/cycle parking, including the examination of parking fees, promotion and monitoring of the car-sharing scheme;

• Effective home-working for staff and students, including the provision of IT facilities such as video conferencing to facilitate home working;

• Health and safety of students, staff and members of public on an any of the travel routes and on campus such as safety when walking, cycling or using the uni-link inter-change;

• The effect of time-tabling (of lectures, classes, etc.) on student and staff travel; and

• The impact of travel to and from the university on the environment and local community.

Specify and discuss which type of simulation, i.e. Monte Carlo simulation, Discrete Event Simulation and/or System Dynamics can be used to model the following issues of the ‘Transport Plan’?

(a) Forecasting issues;

(b) Risk management;

(c) Queuing problems; and

(d) Environmental Sustainability

Note that each issue may be addressed by more than one type of simulation model- your answer should be clear how each type of simulation could contribute to modelling the issue.

Submission Deadline: Please note that the submission deadline for Southampton Business School is 16.00 for ALL assessments.

Turnitin Submission: The assignment MUST be submitted electronically via Turnitin, which is accessed via the individual module on Blackboard. Further guidance on submitting assignments is available on the Blackboard support pages.

It is important that you allow enough time prior to the submission deadline to ensure your submission is processed on time as all late submissions are subject to a late penalty. We would recommend you allow 30 minutes to upload your work and check the submission has been processed and is correct. Please make sure you submit to the correct assignment link.

You will know that your submission has completed successfully when you see a message stating ‘Congratulations – your submission is complete…’. It is vital that you make a note of your Submission ID (Digital Receipt Number). This is a unique receipt number for your submission, and is proof of successful submission. You may be required to provide this number at a later date. We recommend that you take a screenshot of this page, or note the number down on a piece of paper. You should also receive an email receipt containing this number, and the number can be found after submitting by following this guide. This method of checking your submission is particularly useful in the event that you don’t receive an email receipt.

You are allowed to test submit your assignment via Turnitin before the due date. You can use Turnitin to check your assignment for plagiarism before you submit your final version. See “Viewing Your Originality Report” for guidance. Please see the Module Leader/lecturer on your module if you would like advice on the Turnitin Originality report.

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