The Experts below are selected from a list of 106683 Experts worldwide ranked by ideXlab platform
Erik Jenelius - One of the best experts on this subject based on the ideXlab platform.
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Road Network vulnerability analysis of area covering disruptions a grid based approach with case study
Transportation Research Part A-policy and Practice, 2012Co-Authors: Erik Jenelius, Lars-göran MattssonAbstract:Road Network vulnerability analysis of area-covering disruptions: A grid-based approach with case study
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Network structure and travel patterns explaining the geographical disparities of Road Network vulnerability
Journal of Transport Geography, 2009Co-Authors: Erik JeneliusAbstract:Inevitably, links in the Road Network are sometimes disrupted because of adverse weather, technical failures or major accidents. Link closures may have different economic and societal consequences depending on in which regions they occur (regional importance), and users may be affected differently depending on where they travel (regional exposure). In this paper we investigate in what way these geographical disparities depend on the Road Network structure and travel patterns. We propose aggregate supply-side (link redundancy, Network scale, Road density, population density) and demand-side (user travel time, traffic load) indicators and combine them in statistical regression models. Using the Swedish Road Network as a case study, we find that regional importance is largely determined by the Network structure and the average traffic load in the region, whereas regional exposure is largely determined by the Network structure and the average user travel time. Our findings show that the long-term vulnerability disparities stem from fundamental properties of the transport system and the population densities. Quantitatively, they show how vulnerability depends on different variables, which is of interest for robust Network design.
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importance and exposure in Road Network vulnerability analysis
Transportation Research Part A-policy and Practice, 2006Co-Authors: Erik Jenelius, Tom Petersen, Lars-göran MattssonAbstract:The reliability and vulnerability of critical infrastructures have attracted a lot of attention recently. In order to assess these issues quantitatively, operational measures are needed. Such measures can also be used as guidance to Road administrations in their prioritisation of maintenance and repair of Roads, as well as for avoiding causing unnecessary disturbances in the planning of Roadwork. The concepts of link importance and site exposure are introduced. In this paper, several link importance indices and site exposure indices are derived, based on the increase in generalised travel cost when links are closed. These measures are divided into two groups: one reflecting an "equal opportunities perspective", and the other a "social efficiency perspective". The measures are calculated for the Road Network of northern Sweden. Results are collected in a GIS for visualisation, and are presented per link and municipality. In view of the recent great interest in complex Networks, some topological measures of the Road Network are also presented.
Lars-göran Mattsson - One of the best experts on this subject based on the ideXlab platform.
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Road Network vulnerability analysis of area covering disruptions a grid based approach with case study
Transportation Research Part A-policy and Practice, 2012Co-Authors: Erik Jenelius, Lars-göran MattssonAbstract:Road Network vulnerability analysis of area-covering disruptions: A grid-based approach with case study
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importance and exposure in Road Network vulnerability analysis
Transportation Research Part A-policy and Practice, 2006Co-Authors: Erik Jenelius, Tom Petersen, Lars-göran MattssonAbstract:The reliability and vulnerability of critical infrastructures have attracted a lot of attention recently. In order to assess these issues quantitatively, operational measures are needed. Such measures can also be used as guidance to Road administrations in their prioritisation of maintenance and repair of Roads, as well as for avoiding causing unnecessary disturbances in the planning of Roadwork. The concepts of link importance and site exposure are introduced. In this paper, several link importance indices and site exposure indices are derived, based on the increase in generalised travel cost when links are closed. These measures are divided into two groups: one reflecting an "equal opportunities perspective", and the other a "social efficiency perspective". The measures are calculated for the Road Network of northern Sweden. Results are collected in a GIS for visualisation, and are presented per link and municipality. In view of the recent great interest in complex Networks, some topological measures of the Road Network are also presented.
S C Wong - One of the best experts on this subject based on the ideXlab platform.
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the effect of Road Network patterns on pedestrian safety a zone based bayesian spatial modeling approach
Accident Analysis & Prevention, 2017Co-Authors: Pengpeng Xu, S C WongAbstract:Abstract Pedestrian safety is increasingly recognized as a major public health concern. Extensive safety studies have been conducted to examine the influence of multiple variables on the occurrence of pedestrian-vehicle crashes. However, the explicit relationship between pedestrian safety and Road Network characteristics remains unknown. This study particularly focused on the role of different Road Network patterns on the occurrence of crashes involving pedestrians. A global integration index via space syntax was introduced to quantify the topological structures of Road Networks. The Bayesian Poisson-lognormal (PLN) models with conditional autoregressive (CAR) prior were then developed via three different proximity structures: contiguity, geometry-centroid distance, and Road Network connectivity. The models were also compared with the PLN counterpart without spatial correlation effects. The analysis was based on a comprehensive crash dataset from 131 selected traffic analysis zones in Hong Kong. The results indicated that higher global integration was associated with more pedestrian-vehicle crashes; the irregular pattern Network was proved to be safest in terms of pedestrian crash occurrences, whereas the grid pattern was the least safe; the CAR model with a neighborhood structure based on Road Network connectivity was found to outperform in model goodness-of-fit, implying the importance of accurately accounting for spatial correlation when modeling spatially aggregated crash data.
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reserve capacity of a signal controlled Road Network
Transportation Research Part B-methodological, 1997Co-Authors: S C Wong, Hai YangAbstract:Abstract The concept of reserve capacity has been used extensively for performance measure and timing design of individual signal-controlled intersections. In this paper, we extend this concept to a general signalcontrolled Road Network under time-stationary conditions. The whole capacity of a Road Network is controled by intersections whose capacity depends on traffic signal settings. We first define and formulate the reserve capacity of a whole signal-controlled Road Network, and then show how a bi-level programming method can be used to determine signal setting for maximization of the Network reserve capacity. A numerical example is presented to illustrate the concept and the calculation procedure.
Vincenzo Antonucci - One of the best experts on this subject based on the ideXlab platform.
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Electric vehicle charging infrastructure planning in a Road Network
Renewable and Sustainable Energy Reviews, 2017Co-Authors: Salvatore Micari, Laura Andaloro, Vincenza Antonucci, Antonio Polimeni, Giuseppe Napoli, Vincenzo AntonucciAbstract:The implementation of a charging infrastructure Network is the necessary prerequisite for the diffusion of Electric Vehicles (EVs). In this paper a methodology to calculate the required number of charging stations for EVs and to set their position in a Road Network is proposed. The aim is to planning the distribution of services area to host charging infrastructures. Using the demand (the flow of EVs) and the supply (the Road Network where they will be positioned) through a two-level model were the locations initially identified (first level) and thereafter the number of charging stations for each service area (second level) evaluated. The paper deals with the intersection of three main topics: the vehicle technologies (engine and battery pack specifications), the charging station characteristics and the EVs flow. After verifying the model and the solution procedure on a test Road Network, the methodology is applied in a high dimension case, considering the Italian highway Network.
Hai Yang - One of the best experts on this subject based on the ideXlab platform.
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reserve capacity of a signal controlled Road Network
Transportation Research Part B-methodological, 1997Co-Authors: S C Wong, Hai YangAbstract:Abstract The concept of reserve capacity has been used extensively for performance measure and timing design of individual signal-controlled intersections. In this paper, we extend this concept to a general signalcontrolled Road Network under time-stationary conditions. The whole capacity of a Road Network is controled by intersections whose capacity depends on traffic signal settings. We first define and formulate the reserve capacity of a whole signal-controlled Road Network, and then show how a bi-level programming method can be used to determine signal setting for maximization of the Network reserve capacity. A numerical example is presented to illustrate the concept and the calculation procedure.
