Transport and infrastructure plays an important role both in terms of personal mobility as well as accessibility of businesses and their transportation needs. This unit provides a comprehensive introduction to the role of transportation and infrastructure within the economy. The key concepts and theories needed for management of transport and infrastructure are introduced along with the analysis and problem solving skills needed for confident decision making. In providing the foundational knowledge for students in transport and infrastructure, the unit also introduces students to the professional communication skills needed. Examples and case studies are drawn from all modes of transport and infrastructure.

Infrastructure is crucial to economic performance; without it business cannot operate efficiently or competitively. Delivery of large infrastructure projects, however, is complex and despite many more megaprojects being undertaken than any time in history, the majority of these projects are completed significantly over-budget and longer than planned. In this unit students will be introduced to megaproject decision making. The sources of social and technical complexity are discussed, issues of risk management and governance explored, and human biases in decision making are also highlighted. Strategies to overcome weaknesses in mega project decision making are also outlined.

Infrastructure is the backbone of every economy. Investment in infrastructure has the capacity to enhance productivity and generate growth, and has multiplier effects that are not only economic but also social and environmental. The cost of infrastructure projects, however, can be substantial and funding these projects represents a significant challenge. In this unit, students explore the distinction between infrastructure financing and funding and the challenges in raising private finance. Students are provided with an understanding of the principles of infrastructure finance and the use of special purpose vehicles and how to structure alternative financing plans. Students learn how to develop approaches to procurement and tendering and understand issues associated with the commercial and financial structuring of Public Private Partnerships.

This unit provides a basic understanding of the main principles underlying strategic transport models for forecasting, and the knowledge to critically assess forecasts of transport strategies made by transport planners. Students acquire knowledge of strategic forecasting models used by government and consultants as well as the methods to capture travel behaviour such as mode choice and route choice. Simple mathematical models are discussed in detail, along with numerical examples and applications in the Sydney Metropolitan Area, which are used to illustrate the principles of the methods. This unit equips students to build simple transport models in the computer lab using specialised transport planning software used by governments and consultants.

Transport policy decisions shape contemporary life around the world and the connections between transport and land use are instrumental in designing effective policy in this domain. The unit provides an introduction to the context for policy making, how decisions are made, relationships with short- and long-term strategic planning, and how policy has become intertwined with broader sustainability concerns. The unit will then develop the student's ability to assess contemporary issues in sustainable transport policy such as liveable environments, climate change, the role of the built environment in sustainable cities, social inclusion, parking policy, human health and safety, active travel, the challenges of low density transport, the regulation of public transport, fare policies for public transport and other contemporary issues. Each issue will consider the problem and assess the success of existing policy and/or the need for new policy and what this might look like. The unit is particularly suited to students with broad interest in transport, urban planning, and environmental/sustainability issues.

The world is increasingly filled with systems, devices and sensors collecting large amounts of data on a continual basis. Most of these data are associated with locations that represent everything from the movement of individuals travelling between activities to the flow of goods or transactions along a supply chain and from the location of companies to those of their current and future customers. Taking this spatial context into account transforms analyses, problem solving and provides a powerful method of visualising the world. This is the essence of Geographic Information Systems (GIS) and this unit. This unit starts by introducing students to the 'building blocks' of GIS systems, including data structures, relational databases, spatial queries and analysis. The focus then moves on to sources of spatial data including Global Positioning System (GPS), operational systems such as smartcard ticketing and transaction data along with web-based sources highlighting both the potential and challenges associated with integrating each data source within a GIS environment. The unit is hands-on involving learning how to use the latest GIS software to analyse several problems of interest using real 'big data' sources and to communicate the results in a powerful and effective way. These include identifying potential demand for new services or infrastructure, creating a delivery and scheduling plan for a delivery firm or examining the behaviour of travellers or consumers over time and locations. This unit is aimed at students interested in the spatial impact of decision-making and on the potential for using large spatial datasets for in-depth multi-faceted analytics.

Supply chain management as well as logistics, transport and infrastructure management relies on the ability to make effective decisions based on the information provided by careful analysis of data. Students undertaking this unit will develop a strong understanding of the basic techniques underpinning quantitative analysis and will develop highly marketable skills in spreadsheet modelling and the communication and presentation of data to support management decision making. This unit emphasises the practical aspects of quantitative analysis with computer based workshops. Students are guided through the basic theories used in decision making but emphasis is placed on how the theories are applied in practice, drawing on real world experience in quantitative analysis. The unit covers demand forecasting, spreadsheet modelling, optimisation of production and transportation using linear programming, simulation and basic statistics and linear regression techniques.

This unit conveys the fundamentals of city logistics, which is the pickup, storage, transport and delivery of freight in urban areas. All aspects of city logistics from planning, management and operation to security, efficiency and mitigation of environmental impact are covered for cities of all types. The relationships between land use, transport and city logistics are described. Traffic engineering concepts like 'link' and 'place' are explored and the implications for location and design of loading zones and docks as well as underground service networks are considered. Forms of urban freight consolidation centre are looked at along with the role of alternative transport modes, like public transport, cycles, electric vehicles and drones. Ecommerce and fulfilment models are also studied. The implications for city logistics of new technologies, apps and the 'sharing economy' are considered. International case studies are covered. Seminars by city logistics professionals complement the lectures. Students have an opportunity to develop city logistics solutions for themselves through a group design project.