The adoption of sustainable innovations: Driven by symbolic and environmental motives     

《Global Environmental Change》2014

Critical to the environmental success of sustainable innovations is the adoption by consumers. The consensus is that instrumental shortcomings of sustainable innovations inhibit their adoption. However, we argue that the adoption of sustainable innovations does not exclusively depend on their instrumental attributes. In addition, people may be motivated to adopt sustainable innovations because of their positive environmental and symbolic attributes, that is, they benefit the environment and can be used to signal positive characteristics to oneself and others. We studied the significance of instrumental, environmental and symbolic attributes for the adoption of two sustainable innovations: electric cars (Study 1) and local renewable energy systems (Study 2), following two methods. Results showed that when asked directly, participants claimed that instrumental and environmental attributes are most important for their decision to adopt sustainable innovations, while symbolic attributes were rated as less important. Interestingly, evaluations of the symbolic and environmental attributes of sustainable innovations, but not evaluations of their instrumental attributes, predicted different indicators of adoption (i.e., interest in, the acceptability of, and intention to adopt these sustainable innovations), suggesting that the significance of symbolic motives for adopting sustainable innovations may not be recognized by consumers. Moreover, favorable evaluations of symbolic attributes particularly enhanced interest in and acceptability of sustainable innovation when participants evaluated the instrumental attributes more negatively, but not when instrumental attributes were evaluated relatively positively. This suggests that the instrumental drawbacks of sustainable innovations may sometimes strengthen their positive signal, which can promote interest in sustainable innovations.  相似文献   

Can Protection Motivation Theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands     

《Global Environmental Change》2014

Scholars have proposed that the Protection Motivation Theory provides a valuable framework to explain pro-environmental choices, by employing a wide set of predictors, such as the costs and benefits of current (maladaptive) behavior as well as prospective adaptive behavior. However, no comprehensive empirical tests of the Protection Motivation Theory in the slow onset environmental risk domain have been published yet to our knowledge. This paper aims at closing this gap. We first conceptualized the Protection Motivation Theory for the use in this environmental domain. Next, we present results of a questionnaire study among a large representative sample of Dutch drivers that showed that the Protection Motivation Theory is a relevant theory for modeling different indicators of full electric vehicle adoption. Notably, all theoretical antecedents proved to be significant predictors of different adoption indicators. Respondents were particularly more likely to adopt an electric vehicle when they perceived the negative consequences caused by conventional vehicles as more severe, and when they expected electric vehicles to decrease these consequences. The most important barriers for electric vehicle adoption were perceived high monetary and non-monetary costs of electric vehicles, and benefits associated with the use of a conventional vehicle. Interestingly, we found that environmental risks are more prominent in predicting close adoption indicators; while energy security risks are more prominent in predicting distant adoption indicators. As expected, our findings suggest that both collective concerns and individual concerns predict different indicators of adoption. Individual concerns (in particular perceived costs of driving an electric vehicle) played a more prominent role when predicting close measures of adoption, while collective concerns (e.g., perceived severity of environmental and energy security risks) played a somewhat more prominent role when predicting distant measures of adoption. Implications for research and practice are provided.  相似文献   

全球锂资源供需前景与对策建议   总被引：4，自引：0，他引：4  

周平  唐金荣  张涛 《地质通报》2014,33(10):1532-1538

随着信息技术和新能源汽车等新兴产业的兴起,金属锂的地位和作用与日俱增。通过分析全球锂资源及其分布、供需现状及锂电发展对未来锂的供需影响,认为全球锂市场在中短期内将由供过于求向供需趋紧转变;长远来看,全球锂资源量大,且随着进入社会领域的锂产品规模扩大,锂的二次资源回收循环利用也将增加,理论上可以满足人类本世纪需求。锂的生产集中度过高、国内盐湖提锂工艺有待改进、锂电安全性问题等是制约中国锂业可持续发展的重要因素。因此,提出要将锂作为中国的新能源关键矿产,适时建立并启动锂的战略储备,加强高Mg/Li值盐湖卤水提锂工艺的科技公关,加强高性能锂电技术研发等对策建议。  相似文献   

PixelGrid -UAV 模块在滩涂资源动态监测中的应用     

叶海全 《东北测绘》2014,(2):142-143,147

基于无人机的特点,快速准确获取滩涂海域航摄影像,利用PixelGrid-UAV模块影像快速处理系统,结合历史影像数据,实现了滩涂海域资源的动态监测。  相似文献   

基于SmartImage的低空影像快速拼接应用案例分析     

王润峰  赵英志  王洪斌 《测绘与空间地理信息》2014,(11)

通过对低空数字航空摄影系统中的航摄数据使用SmartImage 软件进行影像数据拼接案例的介绍和分析,叙述了影像拼接的具体作业流程及特点。从数据操作的快速性和简便性上详细分析了其在应急测绘中的应用,为更好地利用无人机航摄数据做好快速应急测绘保障提供了技术思路。  相似文献   

利用方向纹理特征从影像上搜索道路中心线     

李润生  司毅博  朱述龙  朱宝山 《测绘科学技术学报》2014,(4)

针对遥感影像道路中心线提取问题,提出利用方向纹理特征辅助道路中心线匹配搜索的思想,以人工给出的道路种子点和初始搜索方向为基础,运用方向纹理特征直接从遥感影像上匹配搜索道路的中心线。算法通过预测道路的宽度、弯曲等情况来自动调整纹理窗口的大小,因而能够很好地搜索到道路中心线,此外算法针对树木遮挡、车辆压盖设计了相应的处理策略。实验表明:该方法对遥感影像上不同类型道路均有很好的提取效果,且提取效率高于现有的道路提取算法。  相似文献   

无人机红外传感器改制及数据获取研究     

何敏  刘智华 《测绘科学》2015,(9):48-52

针对云雾复杂气候条件下无人机可见光影像难以获取的问题,文章在分析了地质灾害应急遥感监测伴随的复杂气候条件的基础上,根据目前无人机传感器的构造原理,通过对各种红外滤片的分析和比较,研究基于红外滤片元器件的无人机传感器红外改制技术和红外影像数据增强方法,对航摄传感器进行红外改装。实验结果表明,无人机红外传感器在多云雾条件下能够获取高精度清晰影像,有效解决云雾条件下地质灾害应急数据获取难题,为地质灾害应急决策提供参考。  相似文献   

UASMaster在无人机低空航空摄影测量生产中的应用     

周小杰  乔新  胡振彪 《测绘与空间地理信息》2015,(11):117-119

介绍了UASMaster对低空无人机航摄影像的数据处理,并针对无人机应急保障的快拼影像制作和大比例尺测图数据生产的技术流程进行了探讨。  相似文献   

旋翼无人机盐城试验观测资料分析及其在一次浓雾天气观测中的应用     

王宏斌  吴泓  李永  徐家平  祖繁  张志薇 《气象》2020,46(1):89-97

2018年3月28—30日、6月20—26日和9月5—13日在江苏省盐城市射阳站开展了旋翼无人机大气边界层垂直结构观测试验,并与L波段雷达探空资料进行对比,验证无人机观测资料精度。结果表明无人机观测的温度、相对湿度、风向、风速廓线与探空观测资料具有较好的一致性。二者温度、相对湿度的相关系数均为0.98,温度绝对偏差为0.57℃,相对湿度绝对偏差为4.25%,风向相关系数为0.98,绝对偏差为11.5°,二者风速的相关系数为0.91,绝对偏差为1.88 m·s~(-1),且无人机探测的风速为对应高度上的瞬时风速,可以更好地反映出边界层内风速细节变化特征。试验期间,无人机观测到一次夏季浓雾过程边界层结构细致变化特征,其观测的雾的边界层结构特征和宏观特征与探空观测基本一致。验证结果表明无人机在边界层气象观测中具有很好的应用前景。  相似文献   

基于B/S架构的城市车辆指挥调度系统     

范志龙  陈雪丰 《测绘信息与工程》2009,34(6):36-37

提出了基于B/S架构的WebGIS城市车辆指挥调度系统框架,综合利用了GPS、GPRS等技术,实现了对城市车辆的指挥调度功能。  相似文献