Reducing Urban Pollution Exposure from Road Transport (RUPERT)

Bell, M., Namdeo, Anil, Chen, H., Ashmore, M., Terry, A. and Dimitroulopoulou, S. (2004) Reducing Urban Pollution Exposure from Road Transport (RUPERT). WIT Transactions on the Built Environment, 75. pp. 829-838. ISSN 1743-3509

[img]
Preview
Text
UT04081FU.pdf - Published Version

Download (518kB) | Preview
Official URL: https://www.witpress.com/elibrary/wit-transactions...

Abstract

This paper presents the preliminary results of a two-year study on reducing urban pollution exposure from road transport (RUPERT). The main aim of this project is to develop a new modelling framework for nitrogen dioxide, carbon monoxide and particulate matter to simulate exposures of different population groups across a city, and to assess the impact of roadside concentrations on these exposures. This will be achieved by modelling the frequency distribution of personal exposures (PEFDs) as a function of urban background and roadside concentrations, under different traffic conditions. The modelling approach combines new and existing models relating traffic and air pollution data, with particular emphasis of the impact of congestion, and the probabilistic modelling framework of personal exposure. Modelling of roadside concentrations consists of two main elements, namely the analysis of concentrations patterns at different roadside sites and of the relationship between traffic conditions and added roadside pollution. Roadside concentrations are predicted using empirically derived relationships; statistical models, novel statistics and artificial neural networks namely feed forward neural network and radial basis neural network. The exposure modelling is carried out by linking two models: the INDAIR model, which is designed to simulate probabilistically diurnal profiles of air pollutant concentrations in a range of microenvironments, and the EXPAIR model, which is designed to simulate population exposure patterns based on population time-activity patterns and a library of micro-environmental concentrations derived from the INDAIR model.

Item Type: Article
Additional Information: Tenth International Conference on Urban Transport and the Environment in the 21st Century, URBAN TRANSPORT X ; Conference date: 19-05-2004 Through 21-05-2004
Uncontrolled Keywords: Exposure, Indoor pollution, Neural network, Outdoor pollution, Traffic
Subjects: F800 Physical and Terrestrial Geographical and Environmental Sciences
K300 Landscape Design
K400 Planning (Urban, Rural and Regional)
K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Geography and Environmental Sciences
Depositing User: Rachel Branson
Date Deposited: 22 Jun 2020 10:19
Last Modified: 22 Jun 2020 10:30
URI: http://nrl.northumbria.ac.uk/id/eprint/43517

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics