可达性对资源枯竭城市经济转型发展成效的作用机制

对外交通联系是资源枯竭城市转型和可持续发展的主要因素。以我国69座资源枯竭城市为研究对象,使用日常可达性指数表征城市对外交通联系水平,利用工业替代产业产值反映经济转型发展程度,通过面板数据模型和地理探测器等方法分析可达性对城市经济转型发展成效的作用机制,揭示不同可达性水平下资源枯竭城市经济转型规律与特征。研究表明：我国资源枯竭城市可达性整体处于中等水平,可达性水平对资源枯竭城市工业替代产业规模与效率具有积极的正向作用,可达性通过影响民营经济、工业园区经济、固定资产投资和高技术产业等因素间接地推进或阻碍资源枯竭城市经济转型发展。鉴于此,各地结合可达性水平差异,适宜采取不同的转型模式和差别化的扶持政策。     

北京市清洁汽车可持续发展战略与对策研究

在分析北京市清洁车行动实施现状的基础上，提出了北京市清洁汽车行动的基本原则与可持续发展战略及对策。     

COD仪替代试剂的开发及其在普通分光光度计上的应用研究

对进口的COD测定试剂进行了替代品开发,研制出适用于该仪器的替代试剂。通过实验找到了替代试剂最佳配比。实验证实,自制试剂可完全替代HACH公司的消解试剂用于各种工业和生活废水的消解测定,而且该自制试剂可用于普通分光光度计测定。     

柴油车尾气颗粒物排放现状评价

对2013年哈尔滨市不同供油方式的柴油车排气细颗粒物或黑碳测量参数—光吸收系数进行了统计分析,结果表明:涡轮增压和自然吸气供油方式光吸收系数均值分别为1.39 m-1和1.27 m-1,超标率分别为5.8%和2.4%,采用颗粒物控制措施及排气装置强制维护降低了颗粒物排放,符合排放标准。     

Perceptions of safety on a shared road: Driving,cycling, or walking near an autonomous vehicle

Introduction: While improved safety is a highly cited potential benefit of autonomous vehicles (AVs), at the same time a frequently cited concern is the new safety challenges that AVs introduce. The literature lacks a rigorous exploration of the safety perceptions of road users who will interact with AVs, including vulnerable road users. Addressing this gap is essential because the successful integration of AVs into transportation systems hinges on an understanding of how all road users will react to their presence. Methods: A stated preference survey of the Phoenix, Arizona, metropolitan statistical area (Phoenix MSA) was conducted in July 2018. A series of ordered probit models was estimated to analyze the survey responses and identify differences between various population groups with respect to the perceived safety of driving, cycling, and walking near AVs. Results: Greater exposure to and awareness of AVs are not uniformly associated with increases in perceived safety. Various attitudinal factors, level of AV automation, and other intrinsic and extrinsic factors are related to safety perceptions of driving, walking, and cycling near AVs. Socioeconomic and demographic characteristics, such as gender, age, income, employment, and automobile usage and ownership, have various relationships with perceived safety. Conclusions: Cycling near an AV was perceived as the least safe activity, followed by walking and then driving near an AV. Both similarities and differences were observed among the factors associated with the perceived safety of different travel alternatives. Practical Applications: Public perception will guide the development and adoption of AVs directly and indirectly. To help maintain control of public perception, transportation planners, decision makers, and other stakeholders should consider more deliberate and targeted messaging to address the concerns of different road users. In addition, more careful pilot testing and more direct attention to vulnerable road users may help avoid a backlash that could delay the rollout of this technology.     

危险评价第三维矢量的定性分析

危险评价主要针对危险导致事故发生的可能性与后果严重性进行分析,目的是为拧制危险提供决策依据,但现有的评价矢量并不能完全实现这一目的.可控性的提出完善了评价内容,并在控制对象、控制方案、控制时机等多方面为决策者提供参考,提高了危险评价结果的实用性.     

城市污水污泥发酵制园林营养土中微生物的变化分析

通过桶装发酵装置,进行城市污水污泥发酵制园林营养土过程中微生物的变化研究,测试不同好氧-厌氧交替组的发酵温度以及细菌、真菌、放线菌数量等的变化,探讨发酵温度与微生物变化的规律.结果表明,夏季不同发酵方式的发酵温度在50℃以上的持续时间均长于冬季,且夏季好氧-厌氧交替发酵的发酵温度在55℃以上的持续时间长于好氧发酵;冬季与夏季的好氧、好氧-厌氧交替发酵后,堆料中的粪大肠菌群数量均达到了《城镇污水处理厂污泥处置园林绿化用泥质》(CJ 248-2007)的卫生学指标要求;夏季好氧-厌氧交替发酵过程中,厌氧后发酵温度有所下降,好氧后发酵温度又有所回升;无论好氧还是好氧～厌氧交替发酵中,细菌均为优势种群,真菌、放线菌数量比细菌数量低2～6个数量级.     

Passenger distractions among adolescent drivers

PROBLEM: Adolescents who drive with peers are known to have a higher risk of crashes. While passengers may distract drivers, little is known about the circumstances of these distractions among teen drivers. METHOD: This study used survey data on driving among 2,144 California high school seniors to examine distractions caused by passengers. RESULTS: Overall, 38.4% of youths who drove reported having been distracted by a passenger. Distractions were more commonly reported among girls and students attending moderate- to high-income schools. Talking or yelling was the most commonly reported type of distraction. About 7.5% of distractions reported were deliberate, such as hitting or tickling the driver or attempting to use the vehicle's controls. Driving after alcohol use and having had a crash as a driver were both significant predictors of reporting passenger-related distraction. CONCLUSION: Adolescents often experience distractions related to passengers, and in some cases these distractions are intentional. IMPACT ON INDUSTRY: These results provide information about teenage drivers who are distracted by passenger behaviors. In some cases, passengers attempted to use vehicle controls; however, it seems unlikely that this behavior is common enough to warrant redesign of controls to make them less accessible to passengers.     

CFD Prediction of Air Quality in the Area between Two City Vehicular Tunnels Considering Moving Cars

Concentration fields of different pollutants that spread outside two roadtunnels predicted with a CFD code will be presented. The solution domain represents the city area located between two tunnel outlets – tunnel Strahov and tunnel Mrazovka in Prague. The vicinity of both tunnels is a heavily built up area with tall buildings forming typical street canyons. The CFD modelling predicts the situation after the tunnel Mrazovka will be finished and traffic will increase considerably between both tunnels. Namely, an interest was given to the prediction of dispersion of emissions leaving both tunnel and the area touched by the traffic. For the CFD predictions, a method previously developed for moving vehicles was used. The method uses combination of Eulerian and Lagrangian approaches to moving objects and is capable of modeling different speeds and traffic rates of cars as well as traffic-induced turbulence. Influence of several meteorological parameters was studied, namely wind speed and direction and traffic parameters, like traffic rates and speed of cars. The method separates contributions from different sources to the total concentration field, namely from background, tunnel outlet and roadway. Results are presented in the form of horizontal and vertical concentration fields of NO_x.     

Energy consumption estimation model for dual-motor electric vehicles based on multiple linear regression

ABSTRACT

The drive range of electric vehicle (EV) is one of the major limitations that impedes its universalism. A great deal of research has been devoted to drive range improvement of EV, an accurate and efficiency energy consumption estimation plays a crucial role in these researches. However, the majority of EV’s energy consumption estimation models are based on single motor EV, these models are not suitable for dual-motor EVs, which are composed of more complex transmission mechanisms and multiple operating modes. Thus, an energy consumption estimation model for dual-motor EV is proposed to estimate battery power. This article focuses on studying the operating modes and system efficiency in each operating mode. The limitation of working area of each mode ensures the vehicle dynamic performance, then PSO algorithm is adopted to optimize the torque (speed) distribution between two motors to improve the system efficiency in the coupled driving mode. Finally, the energy consumption estimation model is established by multiple linear regression (MLR). The result shows that the proposed model has a high precision in energy consumption estimation of dual-motor EV.