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  • Σύλλογος Ελλήνων Συγκοινωνιολόγων ΣΕΣ
  • Σύλλογος Ελλήνων Συγκοινωνιολόγων ΣΕΣ

Scholarship opportunity

Topic: Modelling Travel Behaviour of Elderly People using Smart Card Data

Background

The ease of mobility is an important aspect of the quality of life of the elderly people. Yet, there have been very few researches that have focused on analyzing the travel behaviour of the elderly population or attempted to develop detailed mathematical models to predict how their travel patterns may change in response to changes in the transport planning and operational policies. This is primarily attributed to the lack of detailed data.

The availability of the England National Concessionary Travel Scheme data (i.e. smartcard data for the over 65s, blind and disabled) from the West Yorkshire Combined Authority (WYCA) offers the promise to extract time-stamped footprints of thousands of elderly public transport users over a long timespan. However, the data has certain limitations. For instance, the available information includes the boarding time of the user, the bus line that has been used and the sub-zone from where he/she has boarded. The origin bus stop can be inferred by combining this data with the travel time records that are collected for performance measurements. Still, the destinations and the true trip origins (beyond the bus stop) are unobserved. Moreover, only a limited number of socio-demographic characteristics of the users are available from WYCA. This warrants the need to investigate methodologies that can address these data issues before using them for developing mathematical models of travel behaviour. Existing data sources like National Travel Survey, British Household Panel, and etc. or small scale supplementary surveys may be fused with the smart card data to account for these data limitations.

Aims and Approach

The proposed project will address the above mentioned research gap by formulating detailed methodologies to account for the limitations of the ENCTS smart card data and developing mathematical modelling frameworks to combine these with more traditional data sources in the context of modelling travel behaviour of the elderly people in West Yorkshire. The proposed approaches are likely to include a combination of statistical data mining and econometric approaches.

Impact of Research

The developed models will be useful for WYCA in demand management and predicting the impact of alternate policies on the mobility of the elderly population. Thus, it can indirectly contribute to improvement of the quality of life of the senior citizens. Moreover, the methodologies used in combining different data sources will be also useful for analyzing travel behaviour of general users once the relevant smart card data which are currently unavailable, but likely to be available in near future.

Training, Partners and Collaborators

West Yorkshire Combined Authority

Scholarship Details :

Funding provided by the Leeds Anniversary Research Scholarships. The funding is for UK/EU candidates only. The application deadline is 11 March 2016. Successful candidates will be selected by the Faculty on the basis of merit. The outcome of the competition is expected to be announced at end-April 2016. The PhD start date will be 1 October 2016 for successful applicants.

The minimum requirement is a UK Upper Second Class Honours or equivalent in a Quantitative Discipline. Desired skills include strong numerical aptitude, some experience in computer programming, interest in transport modelling and Big Data.

Further Details:

Supervisor: Charisma F. Choudhury ( Αυτή η διεύθυνση ηλεκτρονικού ταχυδρομείου προστατεύεται από κακόβουλη χρήση. Χρειάζεται να ενεργοποιήσετε την Javascript για να τη δείτε. )

http://www.its.leeds.ac.uk/courses/phd/lars-leeds-anniversary-research-scholarships/

 

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