Urban development : use of a neural network mode choice model

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Trinity College (Dublin, Ireland). Department of Civil, Structural and Environmental Engineering

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Quentin R. D. Heaney, 'Urban development : use of a neural network mode choice model', [thesis], Trinity College (Dublin, Ireland). Department of Civil, Structural and Environmental Engineering, 2002, pp 380

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It is a requirement of the EU that member states undertake the development of urban transport in a sustainable manner. According to the EU the key elements in a sustainable strategy are: -- reduction of the adverse impact of traffic congestion on a city’s efficiency, -- increased provision of attractive public transport services. This thesis examines urban development policy throughout Europe and identifies the necessary components for a more sustainable urban area. From literature it was found that urban density was considered to be the most important factor for reducing car use and increasing the use of environmentally friendly modes of transport - public transport, cycling and walking. It was found that population densities should be above 50 persons per hectare (pph) to begin to impact on the mode choice.

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Qualification name: Doctor of Philosophy (Ph.D.)
Publisher: Trinity College (Dublin, Ireland). Department of Civil, Structural and Environmental Engineering
Type of material: thesis