Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents a...Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents among children less than 15 years. In Algeria, the MICS4 survey targeted a sample of 28,000 households distributed over the national territory. These are the main results of polynomial logistic regression： Children in the richest quintile （B = .562, p 〈 .05）, are much less exposed than children in the poorest quintile. The odd ratio is 1.75. Compared to children aged 12 to 14, the younger children of 0-2 years （B = -1.059, p 〈 .05）, are three times less exposed （odd ratio = .347） to road traffic accidents; and children of 9-11 years （B = .520, p 〈 .05）, are most exposed with an odd ratio of 1.68. For territorial planning areas, with the South being taken as a reference category, the risk of traffic accidents for a child is the lowest in the West Highlanders （B = -1.257, p 〈 .05）, followed by the North Center （B = -1.163, p 〈 .05）, the East Highlands （B = -1.053, p 〈 .05）, the Northwest （B = -1.034, p 〈 .05）, and the Northeast （B = -.805, p 〈 .05）. Odd ratio values are respectively .29, .313, .349, .356, and .447.展开更多
In this paper,computational models of environmental pollution and energy consumption of urban multimodal traffic network are proposed according to pertinent research and a multi-objective programming model is then dev...In this paper,computational models of environmental pollution and energy consumption of urban multimodal traffic network are proposed according to pertinent research and a multi-objective programming model is then developed to formulate optimization problem for such a system.Simultaneously,the main factors,such as travel time,pricing and convenience which influence travelers' choice behaviors are all considered and a combined assignment model is proposed to simulate travelers' mode and route choices.A bi-level programming model,in which the multi-objective optimization model is treated as the upper-level problem and the combined assignment model is processed as the lower-level problem,is then presented to solve multi-criterion system optimization problem for urban multimodal traffic network.The solution algorithms of the proposed models are also presented.Finally,the model and its algorithms are illustrated through a simple numerical example.展开更多
文摘Usually, data on road traffic accidents in Algeria are not available to researchers. Fortunately, MICS4mthe Multiple Indicator Cluster Survey conducted by UNICEF during 2012-2013 has introduced a module on accidents among children less than 15 years. In Algeria, the MICS4 survey targeted a sample of 28,000 households distributed over the national territory. These are the main results of polynomial logistic regression： Children in the richest quintile （B = .562, p 〈 .05）, are much less exposed than children in the poorest quintile. The odd ratio is 1.75. Compared to children aged 12 to 14, the younger children of 0-2 years （B = -1.059, p 〈 .05）, are three times less exposed （odd ratio = .347） to road traffic accidents; and children of 9-11 years （B = .520, p 〈 .05）, are most exposed with an odd ratio of 1.68. For territorial planning areas, with the South being taken as a reference category, the risk of traffic accidents for a child is the lowest in the West Highlanders （B = -1.257, p 〈 .05）, followed by the North Center （B = -1.163, p 〈 .05）, the East Highlands （B = -1.053, p 〈 .05）, the Northwest （B = -1.034, p 〈 .05）, and the Northeast （B = -.805, p 〈 .05）. Odd ratio values are respectively .29, .313, .349, .356, and .447.
基金supported by the National Natural Science Foundation of China (Grant Nos. 71071016, 70901005)the Fundamental Research Funds for the Central Universities (Grant Nos. 2009JBM040 and 2009JBZ012)funded by a Discovery Grant (Application No. 342485-07) from the Natural Science and Engineering Research Council (NSERC), Canada
文摘In this paper,computational models of environmental pollution and energy consumption of urban multimodal traffic network are proposed according to pertinent research and a multi-objective programming model is then developed to formulate optimization problem for such a system.Simultaneously,the main factors,such as travel time,pricing and convenience which influence travelers' choice behaviors are all considered and a combined assignment model is proposed to simulate travelers' mode and route choices.A bi-level programming model,in which the multi-objective optimization model is treated as the upper-level problem and the combined assignment model is processed as the lower-level problem,is then presented to solve multi-criterion system optimization problem for urban multimodal traffic network.The solution algorithms of the proposed models are also presented.Finally,the model and its algorithms are illustrated through a simple numerical example.
