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EG505A: INTELLIGENT MOBILITY: PEOPLE AND PLANNING (2020-2021)

Last modified: 24 Jun 2020 14:40


Course Overview

This course introduces the concept of Intelligent Mobility (IM). It begins with a focus on the origins of and antecedents to IM. The notion of Mobility as a Service (MaaS) is considered alongside the role of transport in the sharing economy.  Meeting user needs in IM will involve consideration of issues such as virtual mobility, attitudes to automation and IM capacity and skills requirements. There will be focus on transport and ‘smart cities’ as well as ‘smart rural transport areas’. The course will conclude with a focus on future visions for IM and the development of associated scenarios.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Mark Beecroft

What courses & programmes must have been taken before this course?

  • Master Of Science In Transport And Intelligent Mobility
  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This course introduces the concept of Intelligent Mobility (IM). It begins with a focus on the origins of and antecedents to IM. There is then focus on one of the most important current manifestations of IM, the notion of Mobility as a Service (MaaS). Current progress towards the delivery of MaaS will be explored by reference to available research evidence and relevant case studies from around the world.

The emphasis on ‘people and planning’ in IM in this course renders it very important to appreciate the links between prevailing social trends and behaviour and the technological opportunities to be realised through IM. In this context, the role of transport in the sharing economy (and indeed the gig economy) will be explored. 

Meeting user needs in the design and delivery of transport solutions will be a key determinant of success in achieving IM. This will involve consideration of virtual mobility as an evolving social practice ranging from classic definitions of teleworking to varied spatial-temporal working and nomadic location-independent living. This course will evaluate how such practices relate to travel behaviour at the individual, household and more aggregate level. Evolving public attitudes towards technology will critically influence the uptake of IM. This involves issues such as adoption and adaptation of technologies and varying attitudes amongst different social and demographic groups. Attitudes to autonomous vehicles as a key identifier of IM will receive particular attention.

Staff also have a critical and often neglected role to play in delivering IM. Ensuring that our transport systems and services have the required staffing in terms of capacity and skills is integral to realising IM in practice.

Emphasising the intelligence in IM there will be focus upon transport and smart cities – what has been achieved? What are the opportunities and barriers?  In recent times there has been a growing appreciation that to avoid acute social and spatial divides there is a need to enable smart environments outside urban areas. The recent and ongoing EU investment into Smart Villages has heralded an emerging focus on smart rural transport areas and this will also be covered in the course.

The course will conclude with a focus on future ‘people centred’ visions for IM. This will involve a series of workshops involving training and practice in SWOT and PESTEL analysis and Scenario Planning methodologies. The approach used sits within the ‘Intuitive Logics School’ of scenario planning. The focus is on the insights and learning that arise from the process and developing scenarios as qualitative narratives rather than quantifiable matrices of future conditions that could be retrospectively verified. The findings will be presented in storyboarding format alongside a scenario report.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Tutorial during University weeks 8 - 18

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Coursework (30%)

Online oral poster presentation (20%)

Coursework (50%)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualUnderstandUnderstand the concept of Intelligent Mobility and its current and emerging applications.
ProceduralEvaluateEvaluate current progress towards Intelligent Mobility in specific implementation contexts.
ConceptualApplyApply scenario planning research techniques to develop alternative future visions for Intelligent Mobility.
ReflectionCreateCreate alternative scenarios for the future development of Intelligent Mobility.
ReflectionCreateCreate ‘people-centred’ visions for the future development of Intelligent Mobility.

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