Modeling the Behavior of Novice Young Drivers Using Data from In- Vehicle Data Recorders

Novice young drivers suffer from increased crash risk that translates into over-representation in road injuries. A better understanding of the driving behavior of novice young drivers and of their determinants is needed to tackle this problem. To this extent, this study analyzes the behavior of novice young drivers within a Graduated Driver Licensing (GDL) program. Data on driving behavior of novice drivers and their parents is collected using in-vehicle data recorders, which calculate compound risk indices as measures of the risk taking behavior of the various drivers. Data is used to estimate a negative binomial model to identify the major factors that affect the driving behavior of the young drivers. Estimation results suggest that the risk taking behavior of young drivers is influenced by that of their parents and decreases with higher levels of supervised driving and stricter monitoring by the parents

The choice to report cycling crashes in Denmark: The role of attitudes, norms and perceived difficulty

This study explores the behavioral factors underlying the reporting intentions of cycling accidents. The proposed analytical framework is an adapted version of the Theory of Planned Behavior (TPB), accounting for the linkage between attitudes and the perceived difficulties, in order to understand the barriers impeding cycling accident reporting intentions. The barriers consist of attitudes that accident reporting is useless, preference to allocate time to other activities, concerns about family distress and social image, distrust in the police, and medical consultation aversion. The framework was validated by means of a survey, which yielded 1,512 complete responses from cyclists. The estimated structural equation models revealed: (i) the perceived difficulties are related to reporting intentions, to attitudes that accident reporting is useless, and to the reference to allocate time to other activities; (ii) medical consultation aversion has a higher weight than distrust in the police in demotivating cycling accident reporting intentions; (iii) the latent factors are mainly related to the socio-economic characteristics and the characteristics of the last cycling accident; (iv) information provision regarding the societal benefits of accident reporting is important for increasing the reporting rate

Infrastructure and spatial effects on the frequency of cyclist-motorist collisions in the Copenhagen region

Promoting cycling aims at reducing congestion and pollution and encouraging healthy and sustainable lifestyles, but generally clashes with the perception of crash risk while riding a bicycle that is still the most significant disincentive to cycling. The current study analyzed the factors contributing to increase crash risk while riding a bicycle by focusing on the variation of 5349 cyclist-motorist collisions within 269 traffic zones in the Copenhagen Region. The model controlled for traffic exposure for both bicycles and motorized transport modes, evaluated the effects of infrastructure and socio-economic characteristics of the zones, and accounted for heterogeneity and spatial correlation across the zones. A Poisson-lognormal model with second-order CAR priors confirmed the existence of the safety in numbers phenomenon, contradicted previous literature about bicycle facilities not being helpful in reducing crash risk, highlighted the need for Copenhagen-style bicycle paths especially in suburban areas, and emphasized how heterogeneity and spatial correlation play a significant role in explaining the probability of cyclist-motorist crash occurrence

Infrastructure and spatial effects on the frequency of cyclist-motorist collisions in the Copenhagen region

Promoting cycling aims at reducing congestion and pollution and encouraging healthy and sustainable lifestyles, but generally clashes with the perception of crash risk while riding a bicycle that is still the most significant disincentive to cycling. The current study analyzed the factors contributing to increase crash risk while riding a bicycle by focusing on the variation of 5349 cyclist-motorist collisions within 269 traffic zones in the Copenhagen Region. The model controlled for traffic exposure for both bicycles and motorized transport modes, evaluated the effects of infrastructure and socio-economic characteristics of the zones, and accounted for heterogeneity and spatial correlation across the zones. A Poisson-lognormal model with second-order CAR priors confirmed the existence of the safety in numbers phenomenon, contradicted previous literature about bicycle facilities not being helpful in reducing crash risk, highlighted the need for Copenhagen-style bicycle paths especially in suburban areas, and emphasized how heterogeneity and spatial correlation play a significant role in explaining the probability of cyclist-motorist crash occurrence

Assessing the hidden impacts of hypothetical eruption events at Mount Etna

Abstract We estimate how the value and the spatial distribution of carbon storage, water yield and wild pollination services are expected to change with potential expansion of lava flow inundation at Mount Etna volcano (Sicily, Italy). We rely on a hazard map lava by flow inundation to simulate a set of three future land use/land cover (LU/LC) scenarios related to different hazard levels with a specific probability of occurrence. Our assessment used the Integrated Valuation of Environmental Services and Tradeoffs (InVEST) tool and GIS spatial analysis and indicates that changes in the delivery of all three ecosystem services are biophysically and economically sizeable. The variation between scenarios demonstrates that the carbon storage and wild pollination services will decrease because of the loss of woods and natural habitats. In contrast, the water yield capacity will increase for the creation of new naked land surfaces characterised by high permeability values. In the worst-case scenario, we estimate a loss of 17% and 10% for carbon storage and wild pollination services respectively, and an increase of approximately 10% for water yield

The impact of vehicle movement on exploitation parameters of roads and runways: a short review of the special issue

"The impact of vehicle movement on exploitation parameters of roads and runways: a short review of the special issue" Transport, 31(2), p. 127-13

Strategies to increase port competitiveness

Improving the competitiveness of local businesses and their products within worldwide markets is a vital element for the long-term economic growth of a region. This paper presents a summary of ongoing research needs and outcomes formulated from a partnership between the University of Queensland and the Port of Brisbane Pty Ltd (PBPL), in order to facilitate international trade growth in Queensland and improve PBPL’s competitiveness. As part of this partnership with PBPL, we explore strategies to overcome inefficiencies in supply chain and infrastructure and discuss subsequent prospects for further investigation. The key goals of the partnership program for transport-related issues have been identified as: (i) providing a platform for freight actors trading through the port, in order to increase the performance of their logistics operations by adopting cooperative strategies; (ii) exploring modal shift opportunities to enhance the sustainability and the efficiency of the logistics operations of importers and exporters; (iii) facilitating improved inland supply chains for local export commodities through new trans-shipment points, back-loading opportunities, and logistics cost minimisation

Modeling the efficiency of a port community system as an agent-based process

We present an agent-based method which makes use of reinforcement learning in order to estimate the efficiency of a Port Community System. We have evaluated the method using two weeks of observations of import containers at the Port of Brisbane as a case study. Three scenarios are examined. The first scenario evaluates the observed container delivery by individual shipping lines and estimates the consignments allocated to the various road carriers based on optimizing the individual shipper's total logistics cost. The second scenario implies that, in the optimum case, all agents (shipping lines and road carriers) communicate and cooperate through a single portal. The objective of cooperation is in sharing vehicles and creating tours to deliver shipments to several importers in order to reduce total logistics costs, while physical and time window constraints are also considered. The third scenario allows for some agents to occasionally decide to act based on individual costs instead of total combined logistics costs. The results of this study indicate an increase in the efficiency of the whole logistics process through cooperation, and the study provides a prototype of a Port Community System to support logistics decisions

Efficiency of choice set generation methods for bicycle routes

The current study analyses the efficiency of choice set generation methods for bicycle routes and proposes the extension of cost functions to bicycle-oriented factors not limited to distance and time. Three choice set generation methods for route choice were examined in their ability to generate relevant and heterogeneous routes: doubly stochastic generation function, breadth first search on link elimination, and branch & bound algorithm. Efficiency of the methods was evaluated for a high-resolution network by comparing the performances with four multiattribute cost functions accounting for scenic routes, dedicated cycle lanes, and road type. Data consisted of 778 bicycle trips traced by GPS and carried out by 139 persons living in the Greater Copenhagen Area, in Denmark. Results suggest that both the breadth first search on link elimination and the doubly stochastic generation function generated realistic routes, while the former outperformed in computation cost and the latter produced more heterogeneous routes