Visualisations of the ITS building project

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Visualisations of the £4m project to extend and refurbish the Institute for Transport Studies (ITS) building www.its.leeds.ac.uk/about

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Visualisations of the ITS building project

The University of Leeds is commending its women of achievement with a special celebration, coinciding with International Women’s Day 2016. The Women of Achievement awards recognise the significant contribution and impact that women – both staff and students - have made across the University and beyond. The awards are part of the University’s commitment to further promote gender equality and support the career development of talented women in all areas of the organisation. www.leeds.ac.uk/news/article/3833/celebrating_our_women_of_achievement www.its.leeds.ac.uk/about/news/women-of-achievement-2016

La Transfiguration - 2ème dimanche de Carême année B

kt42 catechisme

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Would predicting peoples’ choices get any easier if we understood behaviour?

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Would predicting peoples’ choices get any easier if we understood behaviour? Inaugural Professorial lecture by Stephane Hess, Professor of Choice Modelling Institute for Transport Studies, University of Leeds 25 June 2014 Abstract: day to day human activity is characterised by decisions on activities and consumption. These have direct impacts on the demand for services and goods and the use of public infrastructure. Accurate estimates of consumers’ valuations and predictions of future choices are thus needed to make appropriate provisions to adjust supply and guide demand. Mathematical models of choice are a key tool in this process. However, many of the leading choice modellers are economists, mathematicians and engineers, hardly the kind of people we would describe as being experts in behaviour. Drawing on the growing media exposure for behavioural economics in popular books such as Predictably Irrational, or the TV and radio appearances by Nobel Prize winner Daniel Kahneman, most recently on Desert Island Discs, this inaugural lecture asks the question whether our models would be better at predictions if we understood behaviour. Biography: Stephane Hess is Professor of Choice Modelling in the Institute for Transport Studies and Director of the Choice Modelling Centre, both at the University of Leeds. He is also Honorary Professor in Choice Modelling in the Institute for Transport and Logistics Studies at the University of Sydney. His main research interests lie in the use of advanced discrete choice models for the analysis of human decision making, with theoretical and applied contributions across a number of fields, including transport, health and environmental economics. He is the founding editor in chief of the Journal of Choice Modelling, and the founder and steering committee chair of the International Choice Modelling Conference. www.its.leeds.ac.uk/people/s.hess www.cmc.leeds.ac.uk www.its.leeds.ac.uk/research/themes/choicemodelling/

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kt42 catechisme

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kt42 catechisme

1ère lecture : Genèse - La Loi fut donnée par Moïse (Ex 20, 1-17) Psaume : 18b (19), 8, 9, 10, 11 : Seigneur, tu as les paroles de la vie éternelle. ème lecture de la première lettre de saint Paul apôtre aux Corinthiens : « Nous proclamons un Messie crucifié, scandale pour les hommes, mais pour ceux que Dieu appelle, il est sagesse de Dieu » (1 Co 1, 22-25) Evangile selon saint Jean : « Détruisez ce sanctuaire, et en trois jours je le relèverai » (Jn 2, 13-25)

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L'amour de Dieu pour Jérusalem son épouse selon Isaïe 54, 5-14

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L'ascension du Seigneur

kt42 catechisme

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kt42 catechisme

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kt42 catechisme

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www.nhtnetwork.org/cqc-efficiency-network/home The CQC Efficiency Network is a collaborative venture between ITS researcher Dr Phill Wheat and leading performance and benchmarking company measure2improve (m2wi). Dr Wheat has used funding from the EPSRC Impact Acceleration Account (IAA) to refine the tools to support m2i in developing the fast growing network. The IAA is an institutional award funded by EPSRC to help speed up the contribution that engineering and physical science research make towards new innovation, successful businesses and the economic returns that benefit UK plc.

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Efforts to reduce the emissions from car travel have so far been hampered by a lack of specific information on car ownership and use. The Motoring and vehicle Ownership Trends in the UK (MOT) project seeks to address this by bringing together new sources of data to give a spatially and disaggregated diagnosis of car ownership and use in Great Britain and the associated energy demand and emissions. Data from annual car M.O.T tests, made available by the Department for Transport, will be used as a platform upon which to develop and undertake a set of inter-linked modelling and analysis tasks using multiple sources of vehicle-specific and area-based data. Through this the project will develop the capability to understand spatial and temporal differences in car ownership and use, the determinants of those differences, and how levels may change over time and in response to various policy measures. The relationship between fuel use and emissions, and the demographic, economic, infrastructural and socio-cultural factors influencing these will also be tested. Consequently, the MOT project has the potential to transform the way in which energy and emissions related to car use are quantified, understood and monitored to help refine future research and policy agendas and to inform transport and energy infrastructure planning. www.its.leeds.ac.uk/research/featured-projects/mot

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Social networks, activities, and travel - building links to understand behaviour

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www.its.leeds.ac.uk/people/c.calastri Social networks, i.e. the circles of people we are socially connected to, have been recognised to play a role in shaping our travel and activity behaviour. This not only has to do with socialisation being the purpose of travel, but also with enabling mobility and other activities through the so-called social capital. Another theme in the literature connecting social environment and travel behaviour is social influence, i.e. the investigation of how travel behaviour can be affected by observation or comparison with other people. Research about the impact of social influence on travel choices is still at its infancy. In this talk, I will give an overview of how choice modelling can be used to investigate the relationships between social networks, travel and activities. I will touch upon work that I have done so far, in particular I will describe my applications of the Multiple Discrete-Continuous Extreme Value (MDCEV) model to frequency of social interactions as well as to allocation of time to different activities, taking the social dimension into account. In these studies, I make use of social network and travel data collected in places as diverse as Switzerland and Chile. I will also discuss ongoing work making use of longitudinal life-course data to model the impact of family of origin and the “mobility environment” people grew up in on travel decision of adults. Finally, I will outline future plans about modelling behavioural changes due to social influence using the smartphone app travel data that are being collected in Leeds within the “Choices and consumption: modelling long and short term decisions in a changing world” (“DECISIONS”) project.

Rail freight in Japan - track access

Institute for Transport Studies (ITS)

Shigeki Oxawa is Associate Professor at the Department of Integrated Informatics, Daido University and part-time Lecturer in Transport Economics at Hosei University. He is a transport economist with a strong interest in transport policy. He is currently an academic visitor at Leeds University (April 2016-March 2017) working in the area of intermodal transport (with a focus on rail freight transport) and in turn track access charges. Abstract: In the national railway revolution in Japan, the passenger division was divided into 6 companies by regions. They operate trains and own/manage the rail track (vertical integration system). On the other hand, vertical separation was introduced into freight companies, therefore, freight companies have to access rail track owned/managed by passenger companies. The Japanese regulator regards track access transactions between passenger companies and freight companies as private business. In the vertical separation system, freight companies cannot get access to the slots required and efficient allocation of rail track cannot be achieved. The vertical separation is a very significant issue in railway policy and freight transport policy in Japan. In the presentation, causes and possible solutions to the issue will be shown. Shigeki is Associate Professor at the Department of Integrated Informatics, Daido University and part-time Lecturer in Transport Economics at Hosei University. He is a transport economist with a strong interest in transport policy. He is currently an academic visitor at Leeds University (April 2016-March 2017) working in the area of intermodal transport (with a focus on rail freight transport) and in turn track access charges. He has 20 years of experience in research and teaching.

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Institute for Transport Studies (ITS)

Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport. Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport. The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.

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