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111.
This study analyses fatal crash patterns, and identifies the risk factors contributing to motorcycle versus non-motorcycle fatal crashes using binomial logistic regression on two-, four- and six-lane National Highways (NHs) in India utilizing police fatal crash data. The distribution of victims’ mode by striking vehicles shows that percentage share of striking vehicles (truck) against the victims’ vehicles (motorcycle) is 44%, 52% and 37% on two-lane NH-8, four-lane NH-24 and six-lane NH-1, respectively. Nine explanatory variables pertaining to fatal crash, victim, roadway and environment are considered for the model (using combined data of cited three NHs). The results of the logistic regression model (motorcycle versus non-motorcycle fatal crashes) show that for variable ‘collision type’, likelihood of occurrence of ‘rear-end’, ‘sideswipe’ and ‘head-on’ fatal crashes are 42-times, 35-times and 25-times more than ‘hit pedestrian’ respectively. Similarly, for variable ‘number of vehicle’, likelihood is thrice as ‘single-vehicle’ than ‘two or more vehicles’; and, for variable ‘number of lane’, probability is more on ‘two-lane’ NH-8 than ‘four-lane’ NH-24. Based on the study results, it is recommended to upgrade two-lane (undivided carriageway) to four-lane (divided carriageway) NHs to reduce ‘head-on’ collision.  相似文献   
112.
The objectives of this research are to (i) identify supply side factors that determine trust/mistrust in OF products, and (ii) determine the distribution channel strategies to increase trust in OF products. A total of 80 individual in-depth interviews were conducted in Canada and France with managers from superstores, specialty stores, farmers, markets, producers and certification bodies. Results show a clear distinction between the Canadian and French OF distribution structures in terms of trust. Consequently, distributors have to adapt their strategies and tools in order to enhance trust in OF, in their distribution channel and in the overall food supply chain.  相似文献   
113.
Given the increase in the number of terrorist attacks in African countries, a better understanding of the relationship between terrorism, the informal economy and public debt is essential for policymakers. The model is empirically tested for 47 countries during the period 1996–2015. We use ordinary least squares (OLS), random effects (ER) and system generalized method of moments (GMM). Three terrorism indicators are used: the uncertain, the domestic, and the transnational. The results confirm that the rise in terrorism and the informal economy lead to an increase in public debt. The results also show that the informal economy magnifies the effect of terrorism on public debt. In addition, the results suggest that a larger informal economy reduces income taxes and therefore increases public debt and the increase in public spending reinforces the effects of terrorism on public debt. The reduction of terrorism should therefore be governments’ primary political objective. Given the detected complementarity between terrorism and the informal economy, the reduction of terrorism would also reduce the size of the informal economy and the public debt. The reduction of terrorism will also minimize the harmful effects of terrorism on public debt through public spending.  相似文献   
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