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Transportation Planning: Practice
Introduction to transportation planning practice; applications of transport planning software; Introduction and case study using TRIPS/CUBE; Local Transport Plans, Process, contents and evaluation; Planning Policy Guidance (e.g. PPG13), The Public Inquiry process and case study; travel plans and motivating behavioural change; transport implications/assessment of new developments; strategic Rail Authority planning; European benchmarking; opportunities for new technologies; sustainability in practice.

Transportation Planning: Policies and Methods
Introduction to transport policy evolution and trends; UK and European transport policy; transport and land use interaction; Data requirements and survey methods; travel demand, supply and elasticity; the transport planning modelling process; trip generation, trip distribution, modal choice and assignment; discrete choice, dynamic and trip chaining models; modelling with variable demand; appraisal.

Transportation Engineering: Analysis and Design
Traffic parameters and traffic flow theory; traffic data collection, surveys and automatic detection systems; junction types and layouts, traffic analysis at road junctions, including gap-acceptance, capacity queuing and delay; design and evaluation of priority junctions, roundabouts, traffic signals and grade-separated junctions; signal co-ordination and urban traffic control; designing facilities for vulnerable road users and public transport; designing for safety and efficiency.

Transportation Engineering: Transport Management
Introduction to management principles; traffic control, management and information on inter-urban highways and in urban networks; demand management, including access control and road user charging; managing different modes; environmental traffic management; parking management and control; speed management and traffic calming; in-vehicle management systems for driver support, control, safety and information; macroscopic and microscopic network modelling for evaluation; options and opportunities for Intelligent Transport Systems (ITS). Feasibility study (case study).

Highway Engineering
Road classifications, standards and hierarchies, route location, design speed and principles of geometric alignment; horizontal, vertical and co-ordinated alignment; structural design of flexible, rigid and composite pavements; drainage; road surfaces, skidding resistance and road safety; road construction and maintenance; infrastructure, including road markings, signing, safety fences and lighting; International Highway Engineering, including the Highway Capacity Manual (HCM), geometric design (AASHTO) and road maintenance model (HDM).Major road design project.

Transport Economics
Introduction to transport economics; transport and the UK economy; micro-economic demand theory; elasticity; transport supply and pricing; competition or planning-the role of government; economic evaluation and project appraisal; Cost Benefit Analysis (COBA); air/rail transport economics; project finance and risk; the Private Finance Initiative; Road pricing and congestion charging; Environmental economics.

Passenger and freight transport
Historical perspective on land, sea and air transport; regulation and privatisation in passenger transport; factors affecting demand, supply and subsidy; Quality of service; requirements and measurement; passenger interchanges; heavy rail, light rail and metro systems; passenger information systems; air transport and airports operations; shipping, ports and containerisation; fright distribution, warehousing and fleet management; ITS applications.

Transport and Environment
Transport and environmental impacts; environmental impact assessment; concepts of environmental conservation, sustainability and the role of planning; Planning and Policy Guidelines for noise; the calculation of road traffic noise (CRTN); Tyre noise and road surfaces; road vehicle emissions, measurements and engine characteristics; pollution and air quality monitoring; human responses to noise and emissions; case studies

Transport data analysis and techniques 
Introduction to statistics and types of data; frequency tables and measures of average, spread and skewness; probability models and distributions; hypothesis testing, confidence intervals and model fitting; traffic queuing theory; linear programming, including the transportation and assignment problem; correlation and bivariate and multiple regression; critical path analysis; statistical software and applications.

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