Questioning airport expansion—A case study of Canberra International Airport

World air traffic is expected to grow substantially in the next decade and beyond. Associated with this are accelerated programs to build new airports and expand existing ones. However, aviation futures are increasingly contested globally on ecological and resource grounds, and in relation to the quality of life of affected local communities, and to growing fears associated with terrorism, wars and civil unrest. This case study addresses the issues arising from the privatisation and expansion of Canberra International Airport in Australia. Aircraft noise is a major concern for community groups, and land use planning also emerged as a key issue in a highly publicised conflict between a land developer and Canberra airport management. An important outcome is the recognition of the need for independent policy institutes—working in conjunction with community groups—to challenge the prevailing hegemony of the business-political nexus.     

Travel,roads, risks and volunteers

International volunteers often travel to destinations (low- and middle-income countries) that carry a greater chance of being involved in a road-related injury and a possible fatality. Within this cultural exchange, tourists move from safe roads and cars to those that are potentially unsafe. Is this all part of the adventure of volunteering or should the tourist industry take some responsibility? This paper highlights the intersection between tourism and road injury and fatality risks (as pedestrians or in vehicles) with special attention to the longer term volunteer traveller. Social science theory underpins some of the discussions around risk and travel. A brief consideration of the international road traffic death and injury crisis and the emergence of the recognition that this impacts upon tourist safety is explored as backdrop to discussions. Tourism relies upon the ability for people to travel in and around the countries they travel to, often taking on the local travel arrangements prevalent in their destination. These local travel arrangements enable leisure tourists to explore their destination and volunteer travellers to live and work as locals. Is it time to consider and further the research on road risks as a growing feature of tourism?     

Towards a holistic framework for road safety in Australia

Current road safety programs and thinking in Australia are constructed within a paradigm that tends to accept existing cultural arrangements. Such programs therefore, favour symptomatic solutions and technical and/or physical solutions as a way forward. Fundamental redesign of cultural arrangements is necessary in order to challenge the “culture of speed”. Our research is developing a holistic, social ecological model for reconnecting road safety with communities that value quality of life and slower ways of being. Improving road safety through reduction in the volume and speed of motorised traffic is integrally related to enhancing health and fitness, reducing greenhouse gas emissions, and improving neighbourhood planning and community cohesion. In this regard, community-based travel behaviour change initiatives are deserving of much greater attention in the road safety area. As well as these changes at the personal and community scale, policy changes to urban and transport planning that address the broader issues of sustainability in an era of climate change and peak oil can also be linked to improvements in road safety.     

Exploring resource procurement for community-based event organization in social enterprises: evidence from Piedmont,Italy

ABSTRACT

This research contribution aims to shed light on the key role of social tourism entrepreneurship in community event management through the combination of innovative strategies for resource procurement. An exploratory qualitative case study was undertaken with 67 social tourism enterprises in Piedmont, Italy. The analysis shows that these social tourism enterprises have specific resource procurement strategies for community-based events. A business model emerges where the fundamental resource mobilization processes are based on three strategic approaches: (a) stakeholder participation and partnership; (b) sharing ideas, materials and knowledge; (c) capturing dispersed resources and assets from the local community. The identified variables provide a new perspective for the study of resource procurement in community event management.     

Factors contributing to injury severity in work zone related crashes in New Zealand

Roadworks take place frequently on existing roads in New Zealand. The adverse effects of poor road conditions and reduced road width due to the presence of a work zone on the safety of road users and workers at the work zone have been a matter of concern. Several studies have been conducted to examine the risk factors contributing to the occurrence of road crashes in work zones in different countries. Slow-moving and stopped vehicles near work zones have been found to be the primary cause of crashes and casualties in the work zones. Excessive speed of passing traffic has also been recognized as a crucial factor contributing to work zone related crashes in New Zealand. This study examined the effect of possible risk factors contributing to severe injury and fatality in work zone related crashes in New Zealand. A multinomial logistic regression model was established to determine the association between crash severity and factors such as road environment, vehicle attributes, driver behavior, and crash circumstances, based on the information available on 453 road crashes during the period from 2008 to 2013. The results indicated that the time period, vehicle involvement, and presence of vulnerable road users were the factors that determined the crash severity in work zones. This implies that improvements are required in traffic control and management measures in work zones to enhance road safety in the long run.     

A zonal level safety investigation of pedestrian crashes in Riyadh,Saudi Arabia

In the recent decade, walking has been encouraged as an active mode of transportation, which could reduce congestion and air pollution and also improve community health. However, pedestrians are more vulnerable to traffic crashes compared with other road users, especially in developing countries such as Saudi Arabia. This paper examines the association among traffic volume, land-use, socio-demographic and roadway characteristics factors, and the frequency of pedestrian crashes based on macro-level safety analysis using data from Riyadh, the Capital of Saudi Arabia. Two Bayesian spatial Poisson-lognormal models for total and severe pedestrian crashes are developed in this study. The results show that the factors that affect total pedestrian crash occurrence are different from those affecting severe pedestrian crash. Several implications for pedestrian safety policies in Riyadh are suggested based on the results.     

Decomposing the decoupling of Danish road freight traffic growth and economic growth

In recent years many European countries have seen a decoupling of the growth in road freight traffic (vehicle kilometres) from economic growth. A similar decoupling has not been observed in road freight transport (tonne kilometres). In this paper the historical growth in national Danish road freight traffic and transport is attributed to causes using a Divisia index decomposition method. It is demonstrated that overall road freight traffic growth is a consequence of often opposite pointing growth effects in the underlying factors. The observed decoupling of road freight traffic growth from economic growth is mainly the result of use of larger vehicles, increasing average loads, and less empty running. Growth in road freight transport is primarily caused by growth in production. A decrease in the number of tons lifted per tonne produced (the handling factor) is offset by an increase in the tonne kilometres per tonne lifted.     

The global distribution of the burden of road traffic injuries: Evolution and intra-distribution mobility

This research examines the evolution of the distribution across 187 countries of mortalities per 100,000, disability-adjusted life years (DALYs), years of life lost (YLL) and years lived with disabilities (YLD) due to road traffic injuries between 1990 and 2010 using the distribution dynamics approach. Fatal and non-fatal burdens of road traffic injuries display contrasting external shape dynamics and intra-distribution mobility. The results show that while the shape of the global distribution of YLD due to road traffic injuries (RTIs) has become tighter over time, the cross-country distributions of mortalities, DALYs, and YLL from road crashes have become more dispersed. The implication of the results is that international efforts should make a priority of targeting the prevention of a greater spreading out of the distribution of the burden of fatal RTIs. The exchange of relative positions within the distributions is substantial, but there is no linear relationship between a country's change in its relative position for the burden of fatal and non-fatal RTI distributions. Thus, further research is needed to determine whether policy interventions dealing with the burden of fatal RTIs also alleviate the burden of non-fatal RTIs and vice versa.     

Local authority and academic attitudes to urban road pricing: a UK perspective

Urban road pricing as an instrument of traffic management has generated a great deal of interest in the UK in recent years. Whilst this is the case there is still no urban road pricing scheme in operation in the UK. The reason for this is primarily one of ‘acceptability.’ This paper, through the use of a national survey, examines the attitudes of key stakeholder groups with respect to urban road pricing. How serious is traffic congestion and traffic related pollution perceived to be by Local Authority Councillors, Officials and the Academic community in the UK? How is urban road pricing viewed by this sub-group of the population in terms of its effectiveness and public acceptance when compared to other policy options? and how could the saleability of urban road pricing be improved? This raises issues in terms of how the revenue raised from urban road pricing should be utilised, the use of urban road pricing as part of a package of measures, the concerns expressed by the stakeholders with respect to urban road pricing, such as the invasion of road users’ privacy, and the type of technology which should be considered. Overall, the paper aims to further the debate among policy makers.     

A socio-economic assessment of proposed road user charging schemes in Copenhagen

Road pricing, congestion charging, toll-systems and other road charging instruments are intensively discussed in many countries. Although many partial analyses of the consequences have been published, few overall socio-economic analyses have been carried out. The article presents such a socio-economic analysis of four different proposed road pricing schemes for the Copenhagen area. The purpose was to assess all benefits and costs involved, including impacts on traffic and environment, maintenance and financing costs as well as tax distortion effects. It was concluded that the socio-economic surplus of the projects depends crucially on the congestion level. With the current traffic level, road pricing will not yet be socially expedient in Copenhagen. However, if the opening year is postponed to 2015, the two most favourable schemes will turn positive. The analyses also showed that the magnitude of demand response by introducing road pricing is likely to have significant impact on the project surplus. This is an important observation because most short-term driven traffic models will then underestimate the projected surplus. Finally, it was found that the degree to which benefits outweigh costs depends considerably on the use of revenue. Although it may contribute to decreasing road congestion, recycling all of the revenue back to the transport sector turned out to be inefficient and costly.     

Improved road accessibility and indirect development effects: evidence from rural Philippines

This paper develops earlier conceptual frameworks and methods for analyzing the indirect development effects of improved road accessibility. The creation of economic opportunity and response to economic opportunity are the two concepts used in the theoretical framework, while time-series data, a road accessibility inventory, and a multi-criteria analysis were the methods used to analyse the indirect effects among households and household firms. A weakness of many impact studies is that they merely chart aggregate economic development. The method employed here includes access to resources by various groups and therefore enables the focus to shift from mere aggregate economic development to also encompass equitable and sustainable social development. The study focused on a rural Philippine fishing community, previously characterized by poor transport conditions and poor accessibility to major markets. It found that the benefits of the road improvement were considerable and benefited a great majority of the population in the fishing community. In addition to the extensive direct effects of the improved road, a number of complementary factors led to substantial indirect effects. These included: abundance of harvested resource in the community; a potential for technical innovations that increased production and productivity; available investment to support this increased production; abundant demand for this increased production in the market region (the market widened in spatial terms and prices were maintained).     

Using triangulation to assess a suite of tools to measure community severance

There is a lack of tools to identify and measure community severance caused by large roads and motorised traffic, despite the evidence of its negative impacts on local communities. This paper reports the development of a suite of tools to measure and value community severance, undertaken as a part of the Street Mobility and Network Accessibility research project. The tools include participatory mapping, spatial analysis, a video survey, street audits, a health and neighbourhood mobility survey, and a valuation tool based on a stated preference survey. They were tested in the area around Finchley Road, a busy arterial road in North London. The study found that Finchley Road is an unpleasant place for pedestrians due to high traffic levels, air and noise pollution, and the lack and poor quality of pedestrian crossing facilities. This has a negative impact on the mobility and accessibility of local residents and, to some extent, on their health and wellbeing. The analysis showed coherence between the findings from the different measurement tools applied individually, but also revealed interconnections between factors which contribute to severance, demonstrating that overall the suite is reliable for assessing community severance in urban areas. Overall, the paper provides a multidisciplinary approach to developing standardised methods to measure a negative impact of transport that is still relatively unknown.     

The safety impact of land use changes resulting from bypass road constructions

This paper analyzes the effect of bypass construction on road safety, specifically crash rates on bypass segments and in bypassed communities. It further investigates the effect of bypass construction on those communities’ economic development through changes in the number and spatial distribution of businesses and residential development, and examines whether these changes affect the road-safety level. Finally, it evaluates the effect on road safety of various traffic arrangements implemented in such communities. Drawing on an extensive data collection, the study focuses on Arab cities in the Galilee region of Israel, using cross-sectional and longitudinal analysis.The results show that bypass construction does not necessarily reduce overall crash frequencies or crash rates. It merely shifts road crashes from the highways (the bypass roads) to inner roads (bypassed) and from there to local traffic, with no significant reduction. The findings indicate a large variance in the effects of bypass constructions on safety.     

The evolutionary path of automobility in BRICS countries

Projections indicate that global transport may more than double by 2050. Future car stock and use are of paramount importance for drafting policy measures and for assessing emerging technology developments. This paper uses a unique forecasting approach combining quantitative data and qualitative expert judgements. Based on the historic development of vehicle kilometers traveled (VKT) in four OECD countries, the approach assesses potential future development paths for BRICS countries (Brazil, Russia, India, China and South Africa) and derives VKT saturation levels for these. For this purpose, we investigated eight factors with influence on car ownership and car use. A group of experts established factor values for the BRICS countries and compared these to the factor values in the OECD countries. Subsequently, we linked the factor values to levels of car use. Among the BRICS countries, we expect the lowest VKT saturation levels for India and China, mainly but not exclusively due to their spatial structures and transport policies. Spatial structures, socio-economic legacies and policies, among other factors, are leading to higher expected VKT saturation levels in Brazil, Russia and South Africa. Those countries also face challenges to establish alternatives to the private car.     

Socioeconomic differences in public acceptability and car use adaptation towards urban road pricing

Urban road pricing is regarded as an effective instrument to reduce traffic congestion and environmental-related problems in metropolitan areas. Whereas the overall impact of urban road pricing on car use adaptation and public acceptability is known, there are only inconsistent results concerning the socioeconomic differences in the response towards road pricing. However, this knowledge is necessary for the development of urban road pricing packages. This paper uses a segmentation approach to identify groups of car users with a similar background in relevant socioeconomic variables and compares their responses towards road pricing. Three groups are identified: young families, suburban families, and singles and couples. These groups indeed differ in their car use adaptation towards urban road pricing as well as in their preferred revenues use. While all three groups significantly reduced their private car use, the young families reduced their car use most, followed by the group of singles and couples. Complementary measures are discussed that are believed to facilitate car use adaptation of each group in response towards urban road pricing.     

Modeling AADT on local functionally classified roads using land use,road density,and nearest nonlocal road data

The focus of this research is to model the influence of road, socioeconomic, and land-use characteristics on local road annual average daily traffic (AADT) and assess the model's predictability in non-covered location AADT estimation. Traditional ordinary least square (OLS) regression and geographically weighted regression (GWR) methods were explored to estimate AADT on local roads. Ten spatially distributed counties were considered for county-level analysis and modeling. The results indicate that road density, AADT at the nearest nonlocal road, and land use variables have a significant influence on local road AADT. The GWR model is found to be better at estimating the AADT than the OLS regression model. The developed county-level models were used for estimating AADT at non-covered locations in each county. The methodology, findings, and the AADT estimates at non-covered locations can be used to plan, design, build, and maintain the local roads in addition to meeting reporting requirements. The prediction error is found to be higher at urban areas and in counties with a smaller number of local road traffic count stations. Recommendations are made to account for influencing factors and enhance the local road count-based AADT sampling methodology.     

Hierarchical system of road networks with inward, outward, and through traffic

This paper formulates a continuous model of a grid road network for determining the optimal hierarchical system of road networks. The hierarchical system is represented as the proportions of area taken up by roads at each level of the hierarchy. The objective is to derive the optimal ratio of road areas that minimizes the total travel time. The model explicitly incorporates inward, outward, and through traffic as well as inner traffic to examine how traffic composition affects the optimal ratio of road areas. The result reveals that the optimal ratio of major arterial roads increases with inward, outward and through traffic.     

Investigating the impacts of built environment on traffic states incorporating spatial heterogeneity

Traffic state in the urban network is a direct reflection of the operational efficiency of the urban transportation system. As the busiest period of the day, traffic states during evening peak hours can effectively measure the capacity and efficiency of the transportation system. The primary objective of this study is to investigate how the potential factors affect traffic states during evening peak hours on weekdays. The geographically weighted regression (GWR) approach was proposed to model the spatial heterogeneity of traffic states and visualize the spatial distributions of parameter estimations. Four types of data including traffic state index (TSI) data, point of interests (POIs) data, road features data, and public transport facilities data were obtained from Shanghai in China to illustrate the procedure. According to the results, the GWR model outperformed the ordinary least square (OLS) model in the explanatory accuracy as well as the goodness of fit. The urban form was revealed to have a significant influence on traffic states and strong local variability for parameter estimations was observed. The number of public and commercial POIs, residential POIs, bus routes, bus stops, the average number of lanes, as well as average traffic volumes can significantly affect the traffic states spatially, and the estimated coefficients of each traffic analysis zone (TAZ) vary across regions. The conclusions of this study may contribute to making the planning and management strategies more efficient for alleviating traffic congestion.     

Assessing the road safety impacts of a teleworking policy by means of geographically weighted regression method

Travel demand management (TDM) consists of a variety of policy measures that affect the effectiveness of transportation systems by changing travel behavior. The primary objective of such TDM strategies is not to improve traffic safety, although their impact on traffic safety should not be neglected. The main purpose of this study is to simulate the traffic safety impact of conducting a teleworking scenario (i.e. 5% of the working population engages in teleworking) in the study area, Flanders, Belgium. Since TDM strategies are usually conducted at a geographically aggregated level, crash prediction models should also be developed at an aggregate level. Given that crash occurrences are often spatially heterogeneous and are affected by many spatial variables, the existence of spatial correlation in the data is also examined. The results indicate the necessity of accounting for the spatial correlation when developing crash prediction models. Therefore, zonal crash prediction models (ZCPMs) within the geographically weighted generalized linear modeling framework are developed to incorporate the spatial variations in association between the number of crashes (including fatal, severe and slight injury crashes recorded between 2004 and 2007) and other explanatory variables. Different exposure, network and socio-demographic variables of 2200 traffic analysis zones (TAZs) are considered as predictors of crashes. An activity-based transportation model framework is adopted to produce detailed exposure metrics. This enables to conduct a more detailed and reliable assessment while TDM strategies are inherently modeled in the activity-based models. In this study, several ZCPMs with different severity levels and crash types are developed to predict crash counts for both the null and the teleworking scenario. The results show a considerable traffic safety benefit of conducting the teleworking scenario due to its impact on the reduction of total vehicle kilometers traveled (VKT) by 3.15%. Implementing the teleworking scenario is predicted to reduce the annual VKT by 1.43 billion and the total number of crashes to decline by 2.6%.     

Road traffic noise in Montreal and environmental equity: What is the situation for the most vulnerable population groups?

Road traffic noise is one of the most detrimental environmental nuisances for the population. Prolonged exposure to high road noise levels can lead to various problems in people's health and well-being. The objective of this article is to determine whether the groups most vulnerable to road noise, that is, children under 15 years old, people 65 years old and over, and the groups most likely to experience high nuisance levels, visible minorities and low-income individuals, are affected by an environmental inequity related to this nuisance. The method of estimating this nuisance employed in the study is based on a combination of several elements: that is, average traffic flows, road geometries, normal atmospheric conditions, and the characteristics of the urban environment. All of these parameters were considered for the 14 boroughs that make up the central portion of the Island of Montreal. Modelling was used to calculate the maximum daily road noise, based in part on the LimA software predictive model and according to the XPS 31-133 computation method. The results obtained from three different statistical tests and spatial regression analyses show that, on the one hand, the groups chosen on the basis of age are not affected by any environmental inequity related to the phenomenon of road traffic noise. On the other hand, low-income individuals and visible minorities live in city blocks marked by road traffic noise levels that are slightly higher than those experienced by the rest of the population.