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K Achuthan

Researcher at University College London

Publications -  26
Citations -  356

K Achuthan is an academic researcher from University College London. The author has contributed to research in topics: Social exclusion & Population. The author has an hindex of 7, co-authored 25 publications receiving 235 citations.

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AMELIA: A tool to make transport policies more socially inclusive

TL;DR: In this paper, a software tool, AMELIA, is developed for the analysis of the increase in the number of elderly people who can reach the centre of St Albans in Hertfordshire in Great Britain as the result of four policy actions, including the cost implications.
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Assessing the Extent of Transport Social Exclusion Among the Elderly

TL;DR: In this article, the AUNT-SUE (Accessibility and User Needs in Transport in Sustainable Urban Environments) project developed and modeled an appropriate set of accessibility benchmarks for older people.
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A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network

TL;DR: A Convolutional Neural Network-Ship Movement Modes Classification (CNN-SMMC) algorithm is proposed, designed to convert a ship’s AIS trajectories into different movement images to make a full use of the CNN’'s classification ability.
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AMELIA: making streets more accessible for people with mobility difficulties

TL;DR: In this article, the effect of removing barriers to movement on the street is discussed because, by doing so, streets can be made more liveable, and it is used to investigate how many more people are able to reach various opportunities, including shops, medical and welfare centres, employment and leisure facilities.
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Mapping accessibility differences for the whole journey and for socially excluded groups of people

TL;DR: In this paper, a GIS-based tool, AMELIA, has been developed to help identify social groups and locations with poor levels of access to services and facilities and to help do this, by modelling walk and public transport accessibility, the micro level data required, the capabilities of the different social groups considered and how these affect the accessibility measures.