Factors of electric vehicle adoption: A comparison of conventional and electric car users based on an extended theory of planned behavior

Increasing the share of battery electric vehicles (BEV) in the total car fleet is regarded as a promising way to reduce local car emissions. Based on online surveys in Denmark and Sweden, this study compares BEV users' (n = 673) and conventional vehicle (CV) users' (n = 1794) socio-demographic profiles, attitudinal profiles, and mobility patterns. In line with previous research, BEV users are typically male, highly educated, have high incomes, and often more than one car in their household. Additionally, BEV users perceive less functional barriers toward BEV use and have more positive attitudes and norms than CV users. The different profiles of these user groups suggest a separate analysis of potential factors of BEV adoption in both groups. In regression analyses, CV and BEV users' intention to use/purchase a BEV is modeled based on factors of the Theory of Planned Behavior extended by personal norm, perceived mobility necessities, and BEV experience. For CV users, symbolic attitudes related to BEVs are the most important factor of intention, while perceived functional barriers in terms of driving range are most relevant for BEV users' intention. How BEV users cope with trips of longer distance seems of particular relevance. In multiple car households, we found the percentage of actual BEV usage related to the type of other cars in the household, perceived functional barriers of BEVs as well as (successful) behavioral adaption to longer trips by BEVs. Based on the results, we discuss ways to increase BEV adoption for current users and non-users.     

Group Characteristics Influence Distribution Patterns of Off-Road Vehicle Recreation within a Complex Trail System in Southwest Idaho

Recreation on public lands is growing and is increasingly recognized as an ecosystem service providing improved health, connection to nature, and social time while also disturbing and degrading ecosystems. Human impacts must be managed, but often managers have little information about the factors that affect recreation patterns. We combined data from global positioning system receivers to record off-road vehicle (ORV) travel with a pretrip survey to determine how group characteristics, site experience, site knowledge, and motivation are associated with ORV trip patterns on public lands in southwest Idaho. Spatial and temporal extent and distribution could summarize most variation in ORV trips. Both trip distribution and extent were associated with group characteristics and site knowledge. Spatial and temporal extent was additionally associated with motivations and distribution was associated with riding experience. These findings can help land managers to identify use patterns, direct informational programs, and effect indirect management strategies.     

Developing advanced route choice models for heavy goods vehicles using GPS data

This paper presents a novel application in route choice modelling using Global Positioning System (GPS) data, focussing on heavy goods vehicles which typically make longer journeys with decisions potentially underpinned by different priorities from those used by car drivers. The scope of the study is larger than many previous ones, using the entire road network of England. Making use of the error components model put forward for route choice by Frejinger and Bierlaire (2007), the work reveals low elasticities in response to changes in travel time, reflecting the limited opportunity for avoiding specific roads on long distance journeys by heavy goods vehicles.     

Emissions and exposure costs of electric versus conventional vehicles: A case study in Texas

The emissions and human exposure impacts of electric vehicle (EV) adoption, especially in comparison to conventional gasoline- or diesel-powered engines, depend on numerous factors including geography, electricity generation, and fuel mix. Results of any analysis also vary depending on the nature of data collected and their level of aggregation by time or location. This paper combines several approaches to develop a robust estimate of these impacts specific to the state of Texas by considering marginal emissions by time of day, as well as location of vehicle and power plant emissions. The authors estimate health and other external costs of operating an EV in the state at approximately $62 per year, compared with an average of $136 for a passenger car powered by gasoline.     

RV Traveler’s Pull Factors to Campgrounds in Leisure Tourism

The purpose of this study was to identify the underlying structures of RV traveler’s pull factors to campgrounds and confirm the results by using exploratory factor analysis and confirmatory factor analysis with multiple data sets. The results identified the following five dimensions of the campground traveler’s key attributes: Activity, Amenity, Essentials, Price, and Store. The “Essentials” factor had a grand mean of 4.47, which was the highest among the five factors. Therefore, campground owners and managers should pay extra attention to maintaining a high quality on those essential attributes first, before considering adding or promoting any other items.     

Optimization models for placement of an energy-aware electric vehicle charging infrastructure

This paper addresses the problem of optimally placing charging stations in urban areas. Two optimization criteria are used: maximizing the number of reachable households and minimizing overall e-transportation energy cost. The decision making models used for both cases are mixed integer programming with linear and nonlinear energy-aware constraints. A multi-objective optimization model that handles both criteria (number of reachable households and transportation energy) simultaneously is also presented. A number of simulation results are provided for two different cities in order to illustrate the proposed methods. Among other insights, these results show that the multi-objective optimization provides improved placement results.     

Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips

We propose two integer programming models for optimizing an automated taxi (AT) system for last mile of train trips. Model S1: trip reservations are accepted or rejected by the operator according to the profit maximization; model S2: any reservation on a selected zone by the model must be satisfied. Models were applied to a case-study. Results indicate that fleet size influences the profitability of the taxi system: a fleet of 40 ATs is optimal in S1 and 60 ATs in S2. Having electric ATs constrains the system for small fleets because ATs will not have time for charging.     

某型无人机俯仰角控制回路的控制律设计

文章以某型无人机为研究对象,利用经典控制理论的知识,分析根轨迹,对无人机的俯仰运动的相关控制律进行了设计,并在SIMULINK软件中进行仿真验证,证明其控制律的有效性、正确性。     

Online representations of RVing neo-tribes in the USA and Australia

Road trips in recreational vehicles (RVs) are popular ways to experience freedom, warmer climates and flexibility in the USA as well as Australia. Ownership of such vehicles is increasing in both markets. Nevertheless, very little is known about the individuals who engage in RVing activities and about the neo-tribes that they form and organise through clubs. Also, cross-regional comparisons of RVers are currently missing from the literature. This article conducted analyses of the text (words and images) of websites belonging to two RV clubs in the USA and two clubs in Australia as well as of the websites of the countries' respective RV advocacy groups. The goal was to examine the specific neo-tribes as they were represented on these websites. The results revealed similarities but also clear differences, with the USA RV clubs appearing to be much more focussed on delivering the defining aspects of neo-tribes, such as fellowship, organisation of online scenes, and the facilitation of an RVing lifestyle.     

国产车规级芯片合作研发演化博弈分析

为解决国产车规级芯片合作研发的问题,建立新能源汽车生产企业、芯片研发企业和地方政府为博弈参与主体的演化博弈模型,根据收益矩阵得到各参与主体稳定策略的约束条件,并仿真模拟各主体在不同参数下的动态演化过程。研究发现,各主体行为相互影响且在一定条件下可收敛到理想的稳定策略,主体的初始参与意愿、合作的利益分配以及政府对企业的合作激励等均是影响车规级芯片合作研发的重要因素。