John D. Nelson

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Decisions resulting from multi-objective planning models are quite sensitive to objective weights, and the latter are hard to determine accurately. We describe a robust formulation of a bi-objective multi-period planning problem where objective weights are random, independent and uniformly distributed in a predetermined range. We apply this model to a(More)
Hybridization of DNA adsorbed to single-walled carbon nanotubes in solution has much slower kinetics than free solution DNA, and can be detected through a blue shift in the near-infrared nanotube fluorescence. Adsorption of the receptor DNA strand to the nanotube surface is consistent with models of polyelectrolyte adsorption on charged surfaces,(More)
Passengers in rural areas are provided with little or no information regarding public transport disruptions. This can result in high levels of travel uncertainty with significant potential to affect travel behaviour. This paper, through 52 interviews, and 7 focus groups in rural areas in Scotland and England, explores the passenger experience, and the(More)
Nature conservation organisations increasingly turn to new digital technologies to help deliver conservation objectives. This has led to collaborative forms of working with academia to spearhead digital innovation. Through in-depth interviews with three UK research-council-funded case studies, we show that by working with academics conservation(More)
This paper explores the existing context of public transport provision in rural and remote areas illustrated with experience from Scotland. A critical review of existing Flexible Transport Services (FTS) in rural areas is provided and illustrated with selected case studies, with the objective of identifying the extent to which FTS can enhance the public(More)
The challenges of the sensor web have been well documented, and the use of appropriate semantic web technologies promises to offer potential solutions to some of these challenges (for example, how to represent sensor data, integrate it with other data sets, publish it, and reason with the data streams). To date a large amount of work in this area has(More)
This paper presents the Transport Disruption ontology, a formal framework for modelling travel and transport related events that have a disruptive impact on traveller’s journeys. We discuss related models, describe how transport events and their impacts are captured, and outline use of the ontology within an interlinked repository of the travel information(More)
GetThere is a real-time passenger information system (RTPI) for rural areas that uses a citizen sensing approach to acquire information from public transport users. This paper describes the use of ontologies in GetThere to represent and integrate citizen sensors with data required to provide RTPI (e.g. timetable and route descriptions). The service(More)