基于遥感与GIS的土地利用动态变化研究

土地是人类社会经济活动的载体；土地利用是指人类对作为生产生活资料的土地的利用方式和强度；而土地利用动态变化则反映了土地利用方式的发展变化趋势。土地利用动态变化在数量，方式，强度，结构和趋势等方面存在很大的差异。全面，客观地反映土地利用动态变化有利于正确认识当前土地利用中合理和不合理的利用方式，为制定长期，可持续发展的土地管理和土地规划提供依据。遥感技术提供巨大而丰富的信息源，GIS技术具有强大的数据处理，空间分析等功能，二者的结合有着传统方式无法比拟的优越性，具有周期短，效率高，费用低等特点，在土地利用变化监测中发挥着巨大的作用。制定详细的技术手段，对重庆市15年间的土地利用及其动态变化在时间序列和空间序列上加以分析，阐明这种变化的外在表象，即耕地，林地的减少和城镇用地的增加；同时分析这种变化的内在驱动力主要为自然环境（坡度，高程，土壤等）和人文要素（经济条件与人口压力等）。为国土资源的有效可持续利用提供决策依据。     

Validation of the propensity for angry driving scale

Problem: This study examined the validity of the Propensity for Angry Driving Scale (PADS; DePasquale, J. P., Geller, E. S., Clarke, S. W., and Littleton, L. C. (2001). Measuring road rage: Development of the Propensity for Angry Driving Scale. Journal of Safety Research, 32, 1–16) in predicting aggressive driving. Method: The PADS and the Driving Anger Scale (DAS; Deffenbacher, J. L., Oetting, E. R., and Lynch, R. S. (1994). Development of a driving anger scale. Psychological reports, 74, 83–91.) were administered to 232 college student volunteers with measures of aggressive and risky driving. Results: Convergent and discriminant validity of the PADS were supported through relationships among measures of similar constructs. The PADS significantly (p<.05) predicted moving tickets, minor accidents, aggressive driving, risky driving, and maladaptive driving anger expression, above and beyond gender, miles driven per week, and trait anger. Discussion: Findings suggest that the PADS is a useful predictor of aggressive driving and has some advantages over the DAS. Impact on Industry: The PADS is an effective predictor of aggressive driving that complements established measures like the DAS and provides researchers with another valuable tool for the assessment of aggressive driving.     

Graduated driver licensing and safer driving

Graduated Driver Licensing (GDL) inserts between the leaner permit and full licensure an intermediate or "provisional" license that allows novices to drive unsupervised but subject to provisions intended to reduce the risks that accompany entry into highway traffic. Introduction of GDL has been followed by lowered accident rates, resulting from both limiting exposure of novices to unsafe situations and by helping them to deal with them more safely. Sources of safer driving include extended learning, early intervention, contingent advancement, and multistage instruction. To extend the learning process, most GDL systems lengthen the duration of the learner phase and require a specified level of adult-supervised driving. Results indicate that extended learning can reduce accidents substantially if well structured and highly controlled. Early intervention with novice traffic violators have shown both a general deterrent effect upon novice violators facing suspension and a specific effect upon those who have experienced it. Making advancement to full licensure contingent upon a violation-free record when driving on the provisional license has also evidenced a reduction in accidents and violations during that phase of licensure. Multistage instruction attempts development of advanced skills only after novices have had a chance to master more basic skills. Although this element of GDL has yet to be evaluated, research indicates crash reduction is possible in situations where it does not increase exposure to risk. While the various elements of GDL have demonstrated potential benefit in enhancing the safety of novice drivers, considerable improvement in the nature and enforcement of GDL requirements is needed to realize that potential.     

STATUS QUO & DRIVING MECHANISM OF DESERTIFICATION IN THE NORTH TIBETAN PLATEAU

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Aggressive behavior while driving as predictor of self-reported car crashes

PROBLEM: In Greece, there is a lack of scientific evidence on the relationship between aggressive behavior while driving and young drivers' involvement in car crashes; this study examined this potential relationship. METHODS: The randomly selected samples of 356 young drivers (18-24 years old) were interviewed through a questionnaire of self-reported car crash involvement, which mainly focused on their behavior on the road and the number of car crashes in which they had been involved. RESULTS: The statistical methods used were principal components analysis (PCA) and multiple regression analysis. Two factors relevant to aggressive driving emerged: (a) driving violations and (b) irritability while driving. The multivariate model suggested that driving just for fun (joyriding) and irritability were predictors of young drivers' involvement in car crashes. It was found that younger age was negatively associated with young drivers' involvement in car crashes. IMPACT ON GOVERNMENT AND INDUSTRY: The findings of this study can contribute in the formation of public policies aiming to prevent young drivers' car crashes. These findings can also be the starting point of some health promotion interventions trying to reduce car crashes and casualties on the road. Finally, the insurance companies may be interested in applying these findings into their field of interest.     

长时间单调模拟驾驶对疲劳的影响研究

通过模拟驾驶实验,综合评估长时间驾驶以及单调环境对驾驶员疲劳程度的影响是笔者研究的主要课题内容。借助于在模拟驾驶座舱上,4个健康样本分别参加高速公路(单调环境)和一般公路(非单调环境)的两组驾驶仿真实验,每组测试均持续两小时,一共进行10次实验。实验过程中,样本的操控数据(车速和方向盘转角)、反应时间、心电信号、主观疲劳状况等都同步记录并保存。实验结果表明长时间驾驶对操控能力、反应时间、心率、主观疲劳都有显著性影响(p<0.050),单调环境(高速公路)和非单调环境(一般公路)相比,车速方差区别显著,而尽管被试在高速公路的单调环境下驾驶后主观感觉更疲劳一些,但反应时间、心率等因素并没有显著性差异。     

岷江上游生态脆弱性驱动力分析

作为长江上游重要的生态屏障,岷江上游是典型的生态环境脆弱区。选取了测度岷江上游生态脆弱性的20个指标、25个样本年的2500个数据,采用逆向测度法构建了岷江上游生态脆弱性的测度指标体系,运用因子分析法得到了影响岷江上游的六大驱动因子:生态环境背景状况、人口承载与结构水平状况、水土流失状况、土地垦殖与利用状况、产业结构水平状况、投资水平与结构状况,为岷江上游生态脆弱区恢复重建及经济社会发展提供了科学依据。     

三峡库区城镇建设用地驱动因子路径分析

随着三峡大坝的修建．三峡经济飞速发展．带动了利用三峡库区城镇建设用地的变化。本文以三峡库区21个县市1995—2005年城镇建设用用地的变化量为主要研究对象。结合1995-2005年期间第二产业与第三产业的集中指数与区位商的空间分布变化。采用路径分析建模的方法。奠立了城镇建设用地与固定资产投资、社会商品零售总额、第二产值、第三产值及城镇人口的路径模型．确定了备影响因子对蜮镇建设用地变化的影响程度。其中第二产值对城镇建设用地的变化影响最大．影响力最小的是城镇人口。此项研究进一步验证了路径分析模型在土地利用变化驱动力分析研究中的可行性．同时也为库区城镇建设用地的控制提供了参考。     

高科技污染问题及驱动力模型研究

高科技产生的污染包括产品生产、消费过程中及废弃时产生的污染。这些特点又加重了高科技的污染程度。高科技污染的各种特点，包括扩散快、产品回收难、污染类型多及隐蔽性强等。以江苏省高科技企业为例，研究企业隶属、资产组成以及经营能力和科技水平等企业性质指标与企业有毒有害原辅料消耗量的相关性，并做出高科技企业污染的驱动模型。根据所得研究结果，分析总结影响高科技企业有毒有害原辅料消耗量的主要因素，认为企业的性质间接作用于企业，最终形成了高科技污染。并据此提出治理高科技污染的建议，即完善污染治理法律体系、探索废旧产品回收途径、发展清洁生产技术、探索针对高科技企业的环境管理模式。     

高速公路交通流实时安全性评价

根据多条高速公路近3年的事故数据及实时交通流数据,分析了高速公路运营安全性的相关影响因素,在此基础上提出了车速变异系数指标及其分级标准,建立了考虑交通流量、平均车速、车速变异系数、天气条件等多因素的高速公路交通流运行风险预测多元模型,并提出了高速公路交通流实时行车风险指数TRI指标,制定了交通流状态实时安全性评价标准,最后给出了高速公路交通流混合交通状态下的实时安全风险评价流程。通过西攀高速公路的交通流实时数据,验证了模型的有效性。