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

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.     

进城务工人员购物活动时空特征解析——以南京市为例

以南京市进城务工人员为研究对象,在宏观把握其社会经济及空间概况的基础上,分析其线下购物的时空特征及典型时空轨迹。结果表明:(1)时间特征上表现为以低频购物为主;购物时段集中在上下班途中及休息日下午;购买低等级商品时对出行时间较为敏感,约为10 min;购买高等级商品时对出行时间不太敏感,多集中在1 h内。(2)空间特征上表现为购买低等级商品时对出行距离较为敏感,约为0.5 km,购物活动空间较为集聚;购买高等级商品对出行距离敏感性较低,购物出行空间较为分散。(3)时空轨迹上表现为单纯购物活动的购物场所及出行空间等级均较低,购物时长较短,购物时段的连续性在工作日要高于休息日;多目的购物活动的购物场所及出行空间等级则较高,购物时长较长,购物时段集聚度较高。     

面向地理空间信息的轨迹模型及时空模式查询

轨迹数据处理与分析是目前空间信息和数据库等相关领域的研究热点之一。本文从Stop-Move轨迹模型出发,通过集成地理空间上下文信息来建模轨迹数据,并研究轨迹时空模式的查询处理技术。首先分析Stop/Move对象与点/线/面地理空间要素之间的时空关联关系,据此提出显式表达该关联语义的地理关联轨迹模型,在此基础上利用关系-对象数据库技术,为地理关联轨迹模型设计独立于应用的关系模式,接着定义轨迹时空模式查询,并提出基于地理关联轨迹关系模式的SQL处理框架,最后以典型性检索请求为例,讨论分析位置-时间、位置-顺序和位置-关系等三类轨迹时空模式查询的纯SQL处理技术,并以样例轨迹数据验证了本文方法的可行性。     

PixelGrid -UAV 模块在滩涂资源动态监测中的应用

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。     

基于SmartImage的低空影像快速拼接应用案例分析

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。     

利用方向纹理特征从影像上搜索道路中心线

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。     

Evolution of high-Mg–Al granulites from Sunkarametta, Eastern Ghats, India: evidence for a lower crustal heating–cooling trajectory

A suite of high-Mg–Al granulites from Sunkarametta, Eastern Ghats Belt, India, shows contrasting prograde assemblages of extremely aluminous orthopyroxene+cordierite+sapphirine and similarly aluminous orthopyroxene+Ti-rich spinel in closely associated domains. Textural and compositional characteristics indicate that both were derived from prograde dehydration–melting of biotite–plagioclase–quartz-bearing protoliths. The former assemblage was stabilized at relatively more magnesian bulk composition. Geothermobarometric data and petrogenetic grid considerations place 'peak' metamorphic conditions at c. 950 °C and 9 kbar. Subsequent to peak metamorphism, the rocks cooled to c . 700–750 °C, with slight lowering of pressure, and the retrograde reactions also involved melt–solid interaction. The inferred P – T  trajectory is one of heating–cooling at lower crustal (25–30 km) depths.     

移动轨迹聚类方法研究综述

轨迹数据是人类移动行为的表征,能够映射出人的出行模式和社会属性等信息。怎样有效挖掘轨迹数据蕴藏的人类活动规律一直是研究的热点。通过轨迹聚类发现行为相似的类簇,从而探究群体的移动模式是轨迹挖掘和深度应用常见的方法之一。本文首先根据轨迹数据的特点,将轨迹数据模型分为轨迹点模型和轨迹段模型,并据此定义相应的相似性度量：空间相似性度量和时空相似性度量;然后,对两类模型的聚类方法进行了综述,并总结不同聚类算法的优缺点,以期为不同应用选取聚类算法提供科学依据;最后对移动轨迹数据聚类方法研究的发展趋势进行了讨论。     

南海北部琼东南盆地第四系陆架边缘轨迹迁移及深水沉积模式

陆架边缘迁移轨迹综合受控于构造、物源、海平面和气候等多种因素,其迁移演化与深水沉积体系发育关系密切。陆架边缘迁移规律及沉积物输送体制与深水砂体预测是当前国际地学领域的热点议题。本文通过基于琼东南盆地新采集的高精度地震资料,定量表征了第四系陆架边缘轨迹,识别了低角度缓慢上升型、中等角度上升型和高角度急剧上升型等3类陆架边缘轨迹类型。2.4 Ma以来,陆架边缘轨迹时空演化可分为3个阶段且具有侧向差异性:2.4~1.9 Ma以低角度缓慢上升型为主,1.9~0.8 Ma西北部以低角度缓慢上升型为主,东北部则以中等角度上升型为主,0.8 Ma至今西北部以中等角度上升型为主,东北部以高角度急剧上升型为主。琼东南盆地第四系陆架边缘迁移轨迹研究表明:当陆架边缘轨迹角0°<α<4°时,陆坡区峡谷规模较小且下切浅,深海平原区发育多期大型海底扇沉积,块体搬运沉积(MTDs)较少;当4°<α<35°时,陆坡区峡谷规模有所增加,深海平原区海底扇沉积与块体搬运沉积均有出现;当35°<α<90°时,陆坡区峡谷发育较少但下切深,深水平原区沉积以大型块体搬运沉积为主,海底扇几乎不发育。琼东南盆地更新世以来气温不断下降,以及东亚冬季风的显著增强,物源供给增强加之海平面的下降进而导致了西北部陆架边缘表现为进积特征;研究区东北部的断裂活动频繁以及物源供给弱,导致了研究区东北部陆坡推进距离远远小于研究区西北部且发育多期次块体搬运沉积物。以上认识对南海北部陆架边缘体系及深水扇预测具有一定的理论意义。     

基于北斗卫星导航系统的飞行物轨迹标记法

为了实时准确地掌握和了解导航系统飞行物的位置和空间关系,以提高北斗系统的运行准确性,该文根据北斗卫星导航系统不间断授时服务特点,提出一种利用北斗卫星授时信号估计空间飞行物轨迹的方法。卫星下发的授时信号到达用户终端的过程中,受到空间飞行物的遮挡而产生扰动。用户终端将接收的扰动信号的变化量通过各种网络汇聚到数据中心,如果用户终端、空间星座和地面数据中心的时钟同步,在多个用户终端存在的条件下,将数据中心计算出的飞行物的时空参量等信息标注到空间地理信息系统上,连接这些空间点,就可以绘制出空间飞行物的运动轨迹。