Timing and frequency data for passenger divesting at Melbourne domestic airport

The data covers the timing and frequency for divesting in the passenger screening process at Melbourne Airport, Victoria. Divesting is defined as the process of removing items from one's person before going through the screening process and placing them and cabin luggage onto the X-ray conveyor. This may also include removing items from bags to assist in the screening process.

Timing and frequency data for passenger divesting at Sydney domestic airport

The data covers the timing and frequency for divesting in the passenger screening process at Sydney Airport, New South Wales. Divesting is defined as the process of removing items from one's person before going through the screening process and placing them and cabin luggage onto the X-ray conveyor. This may also include removing items from bags to assist in the screening process.

Timing and frequency data for passenger divesting at Adelaide domestic airport

The data covers the timing and frequency for divesting in the passenger screening process at Adelaide Airport, South Australia. Divesting is defined as the process of removing items from one's person before going through the screening process and placing them and cabin luggage onto the X-ray conveyor. This may also include removing items from bags to assist in the screening process.

Timing and frequency data for passenger composing at Melbourne domestic airport

The data covers the timing and frequency for composing in the passenger screening process at Melbourne Airport, Victoria. Composing is defined as the process of collecting personal items after the screening process.

Timing and frequency data for passenger composing at Sydney domestic airport

The data covers the timing and frequency for composing in the passenger screening process at Sydney Airport, New South Wales. Composing is defined as the process of collecting personal items after the screening process.

Timing and frequency data for passenger composing at Adelaide domestic airport

The data covers the timing and frequency for composing in the passenger screening process at Adelaide Airport, South Australia. Composing is defined as the process of collecting personal items after the screening process.

Timing and frequency data for passenger walk through metal detection at Melbourne domestic airport

The data covers the timing and frequency for passengers walking through the metal detectors as part of the screening process at Melbourne Airport, Victoria.

Timing and frequency data for passenger walk through metal detection at Sydney domestic airport

The data covers the timing and frequency for passengers walking through the metal detectors as part of the screening process at Sydney Airport, New South Wales.

Timing and frequency data for passenger walk through metal detection at Adelaide domestic airport

The data covers the timing and frequency for passengers walking through the metal detectors as part of the screening process at Adelaide Airport, South Australia.

Infrastructure development using alliances : lessons and observations

This research provides a deeper insight into the performance of Alliances for the construction of road, rail and water projects. The results review 18 public infrastructure projects across Australia that utilized the Alliance form of procurement. The results were based on interviews which addressed the most important management issues impacting on the performance of Alliances. The respondents were selected from a sample of members of the Alliance Leadership Teams (ALT) and the Alliance Management Teams (AMT) that had recently completed a range of infrastructure projects. Results revealed that communication and trust between the ALT and AMT teams was a major issue that impacted on the effectiveness of the Alliance. Further, the research identified several factors that are necessary preconditions for the Alliance to be successful. The study reported on the perceived performance of Alliances to deliver in the key areas that was identified by the client organizations prior to commencement of the project. There are an increasing number of international organizations contemplating construction projects using “Alliancing”. The results of this paper will assist clients in making more informed decisions about the possibility that this form of procurement will be effective in meeting the needs of the project and its stakeholders.

A social network analysis model for analysing stakeholder-associated safety risks in infrastructure projects

An important strategy in the long-term blueprint for making Australia's 18 capital and major regional cities more productive, sustainable and liveable is to develop high quality public infrastructure systems to improve civic quality of life. Because of the unique features of construction activities, such as long period, complicated processes, and dynamic organizational structures, infrastructure projects normally involve multiple stakeholders and are subject to various risks, especially safety issues. Any negligence or mismanagement of critical safety risks will have huge impact on achieving project objectives and success. Although many previous studies have identified and assessed various safety risks in construction industry, a main research gap is that these studies ignored a fact that most risks are interrelated and associated with internal and external stakeholders of the projects. The lack of a theoretical foundation and appropriate methods for analysing stakeholder-associated safety risks and their interdependencies in infrastructure projects hinders effective risk management processes and the formulations of decision strategies. This research aims at enabling higher performance in strategic safety risk management in infrastructure projects through the development of a holistic risk analysis model using Stakeholder and Social Network Theories. The outcomes can broaden project managers' awareness of emerging influential safety risks and enhance their ability to perceive, understand, assess, and mitigate safety risks in an effective and efficient way; thereby higher performance in strategic risk management could be achieved in infrastructure projects.

Evaluating the travel, physical activity and carbon impacts of a 'natural experiment' in the provision of new walking and cycling infrastructure : methods for the core module of the iConnect study

Introduction Improving infrastructure to support walking and cycling is often regarded as fundamental to encouraging their widespread uptake. However, there is little evidence that specific provision of this kind has led to a significant increase in walking or cycling in practice, let alone wider impacts such as changes in overall physical activity or carbon emissions. Connect2 is a major new project that aims to promote walking and cycling in the UK by improving local pedestrian and cycle routes. It therefore provides a useful opportunity to contribute new evidence in this field by means of a natural experimental study.

Methods and analysis iConnect is an independent study that aims to integrate the perspectives of public health and transport research on the measurement and evaluation of the travel, physical activity and carbon impacts of the Connect2 programme. In this paper, the authors report the study design and methods for the iConnect core module. This comprised a cohort study of residents living within 5 km of three case study Connect2 projects in Cardiff, Kenilworth and Southampton, supported by a programme of qualitative interviews with key informants about the projects. Participants were asked to complete postal questionnaires, repeated before and after the opening of the new infrastructure, which collected data on demographic and socioeconomic characteristics, travel, car fuel purchasing and physical activity, and potential psychosocial and environmental correlates and mediators of those behaviours. In the absence of suitable no-intervention control groups, the study design drew on heterogeneity in exposure both within and between case study samples to provide for a counterfactual.

Ethics and dissemination The study was approved by the University of Southampton Research Ethics Committee. The findings will be disseminated through academic presentations, peer-reviewed publications and the study website (http://www.iconnect.ac.uk) and by means of a national seminar at the end of the study.

Integrated modelling of cost-effective siting and operation of flow-control infrastructure for river ecosystem conservation

Wetland and floodplain ecosystems along many regulated rivers are highly stressed, primarily due to a lack of environmental flows of appropriate magnitude, frequency, duration, and timing to support ecological functions. In the absence of increased environmental flows, the ecological health of river ecosystems can be enhanced by the operation of existing and new flow-control infrastructure (weirs and regulators) to return more natural environmental flow regimes to specific areas. However, determining the optimal investment and operation strategies over time is a complex task due to several factors including the multiple environmental values attached to wetlands, spatial and temporal heterogeneity and dependencies, nonlinearity, and time-dependent decisions. This makes for a very large number of decision variables over a long planning horizon. The focus of this paper is the development of a nonlinear integer programming model that accommodates these complexities. The mathematical objective aims to return the natural flow regime of key components of river ecosystems in terms of flood timing, flood duration, and interflood period. We applied a 2-stage recursive heuristic using tabu search to solve the model and tested it on the entire South Australian River Murray floodplain. We conclude that modern meta-heuristics can be used to solve the very complex nonlinear problems with spatial and temporal dependencies typical of environmental flow allocation in regulated river ecosystems. The model has been used to inform the investment in, and operation of, flow-control infrastructure in the South Australian River Murray.

Damage identification of civil infrastructure in the time domain using FEM calibrated ARMAX model

Due to environmental loads, mechanical damages, structural aging and human factors, civil infrastructure inevitably deteriorate during their service lives. Since their damage may claim human lives and cause significant economic losses, how to identify damages and assess structural conditions timely and accurately has drawn increasingly more attentions from structural engineering community worldwide. In this study, a fast and sensitive time domain damage identification method will be developed. First, a high quality finite element model is built and the structural responses are simulated under different damage scenarios. Based on the simulated data, an Auto Regressive Moving Average Exogenous (ARMAX) model is then developed and calibrated. The calibrated ARMAX model can be used to identify damage in different scenarios through model updating process using clonal selection algorithm (CSA). The identification results demonstrate the performance of the proposed methodology, which has the potential to be used for damage identification in practices.