Location: | Durham |
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Salary: | £35,333 to £42,155 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 27th January 2023 |
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Closes: | 10th February 2023 |
Job Ref: | 23000033 |
The Role
This is a research project aiming to develop a context-aware kerbside application framework to better understand user behaviour and other contextual information that can be used to improve the process of dynamically assigning kerbside virtual bays. The project involves a human behaviour analysis to identify behavioural patterns of key stakeholders, including drivers, depot and transport managers, and enforcement officers. The project will develop a context-aware model that captures the complex interactions among local councils, logistics providers, and road users, with the aim of improving the efficiency and effectiveness of the kerbside space allocation. It also evaluates subsequent benefits by comparing them.
The successful applicant will be expected to develop a high performance and heavily featured version of an application framework using behavioural theoretical frameworks, determine the factors that affect users’ behavioural intentions and behavioural control, and the social influence and its emphasis on external and internal social reinforcement that users learn from the dynamic and reciprocal interaction of people, environment, and behaviour. The applicant will be expected to work closely with Prof Ji Yan, research staff in the school of business, the project business partner, local councils, drivers, and end users to conduct a series of research activities.
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