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Key factors contributing to crash severity at highway-rail grade crossings

Journal of Modern Transportation 2016年第3期24卷 224-235页

作者： Wei Fan Linfeng Gong Edward Matt Washing Miao Yu Elias Haile Department of Civil and Environmental Engineering The University of North Carolina at Charlotte EPIC Building Room 3261 9201 University City Boulevard Charlotte NC 28223 USA 1721 Market St. # 102. Oakland CA 94607 USA

The purpose of this paper is to develop and com- pare the preferred multinomial logit （MNL） and ordered logit （ORL） model in identifying factors that are important in making an injury severity difference and exploring the impact of such explanatory variables on three different severity levels of vehicle-related crashes at highway-rail grade crossings （HRGCs） in the United States. Vehicle-rail crash data on USDOT highway-rail crossing inventory and public crossing sites from 2005 to 2012 are used in this study. Preferred MNL and ORL models are developed and marginal effects are also calculated and compared. A majority of the variables have shown similar effects on the probability of the three different severity levels in both models. In addition, based on the Akaike information criterion, it is found that the MNL model is better than the ORL model in predicting the vehicle crash severity levels on HRGCs in this study. Therefore, the researchers recommend the use of MNL model in predicting severity levels of vehicle-rail crashes on HRGCs.

关键词： Vehicle crashes Severity Highway-rail grade crossings Multinomial logit model ordered logit model

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Impact of social capital on farmers' response to different policies for controlling agricultural non-point source pollution

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Ecological Economy 2016年第2期9卷 147-154页

作者： HUA Chun-lin Southwest University of Science and Technology

Chinese society in rural areas is typically a geographically and genetically related *** farmers can be connected to form small groups through their social capital,which can affect farmers' agricultural activities in the process of controlling agricultural Non-point Source *** ordered logit model can be built to analyze the effects of social capital to farmers' responsive willingness to different measurements of controlling agricultural NPS pollution by using survey data in Shaanxi *** paper characterizes farmers' social capital in three dimensions:social trust,social participation and social *** results indicated that farmers' social capital significantly affects farmers' response to different *** governments construct and implement policies to control agricultural NPS pollution,the effects of social capital need to be considered at same time with the effects of governmental supervision,market and education measurements.

关键词： agricultural non-point source pollution social capital farmers’ response ordered logit model

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