基于KANO模型的后共享时代单车设计决策研究——从设计师与消费者视角

目的 探究消费者对共享单车的需求偏好，获取用户和设计师对产品的认知差距，并提出相应的设计决策，为共享单车以及两轮车行业的产品创新提供启迪与参考。方法 从设计师思维与消费者偏好的视角出发，对共享单车消费者偏好的各项设计原则(属性)进行细致分类，建立8个评价维度与41个评价特征，采用KANO模型对有效回收样本进行定量统计及定性分析。结果 基于前期调研与KANO模型分析，提出后共享时代单车设计的相关策略。结论 在后共享单车时代下，设计师需要根据用户真实的产品偏好与体验感知进行设计策略的研究，以设计出真正满足用户需求和体验期望的产品。同时也证明KANO模型作为一种阐明用户不同感性需求的方法，有助于设计师进行设计决策的综合判断，提升设计的竞争力。     

粮仓环境监测系统设计

随着科学技术的发展,粮食行业信息化发展得到了强有力的科技支撑。为满足粮库整体信息化建设的要求,打破"信息孤岛"现状,实现资源整合、数据共享,为大数据分析和数据应用提供数据基础,设计一款能够实时采集粮仓内温湿度、氧气、二氧化碳气体浓度、粮堆高度的数据集成系统。系统采用分层分布式结构,由数据集中器和多种传感器模块组成,数据集中器与各传感器模块间通过RS485总线进行数据通讯,并由数据集中器通过网络专线传输汇总的环境监测数据,通过专用软件进行数据处理和挖掘,从而实现粮仓环境监测和预警等功能。     

数据出版对我国地质数据共享的启示

地质科学数据是地质环境工作的基础资料,对国外相关地学机构或期刊的数据出版现状进行分析,有利于我国地质领域在科学数据出版方面得到长足的发展。本文通过分析国内外数据出版政策、模式等方面的发展现状,对我国数据出版提出了相应的数据共享启示。我国应完善政府、地学机构等多层次、多结构的数据共享政策,与数据存储机构合作创办地质数据期刊,在发展初期着手建立多平台、高标准的数据传播模式。     

China’s ‘old’ and ‘new’ Mekong River politics: the Lancang-Mekong Cooperation from a comparative benefit-sharing perspective

This article analyzes China’s Mekong River politics before and after the establishment of the Lancang-Mekong Cooperation (LMC) from a comparative benefit-sharing perspective. China’s pre-LMC approach focused too much on the creation of economic benefits from and beyond the river while neglecting ecological benefits to the river. Moreover, despite the problems this ‘old’ approach caused for China and its downstream neighbours, China’s current LMC strategy seems to essentially replicate its former approach. While sustainable water resources management is identified as a priority area, actual cooperation and benefit sharing in this field remain insufficient.     

Ex post demand information sharing between differentiated suppliers and a common retailer

We consider ex post demand information sharing in a two-echelon supply chain in which two suppliers sell differentiated products through a common retailer. We model three scenarios of information sharing to characterise the conditions under which information sharing may benefit or hurt different players: (1) no supplier is informed; (2) only one supplier is informed; and (3) both suppliers are informed. We find that the retailer may voluntarily share the low demand information when the product differentiation and demand magnitude satisfy certain conditions. In contrast, the retailer has no incentive to share the high demand information, even though this information benefits the suppliers. To achieve information sharing, we propose a side payment mechanism, which allows benefitted players to subsidise hurtful players. Finally, we extend our model by considering a situation where the suppliers have limited capacity and may invest to ramp up production capacity to satisfy a high demand.     

基于入位基准线的避死区自动泊车路径规划

为避免自动泊车过程中出现泊车死区，提出一种在车位外部汽车自动向前行驶至前进水平线的轨迹计算方法；为了减小泊车所需的车位长度，研究了由前进水平线倒车泊入车位，并保证该泊车轨迹经过入位基准线的方法。通过确定出的几个必须经过的定点坐标，利用插值样条理论与几何数学，确定出汽车在车位外部的泊车路径及其函数，且该函数具有唯一性，因此减少了自动泊车过程中系统不断进行反馈与纠正的计算过程。通过实验车的模拟验证，证明了路径规划的正确性。利用CarSim软件进行泊车过程的运动仿真，并对绘制出的轨迹线进行分析，结果表明该方法能控制汽车自动前进至非泊车死区位置，并可以减少对泊车所需车位长度的要求。     

Fake news and COVID-19: modelling the predictors of fake news sharing among social media users

Fake news dissemination on COVID-19 has increased in recent months, and the factors that lead to the sharing of this misinformation is less well studied. Therefore, this paper describes the result of a Nigerian sample (n = 385) regarding the proliferation of fake news on COVID-19. The fake news phenomenon was studied using the Uses and Gratification framework, which was extended by an “altruism” motivation. The data were analysed with Partial Least Squares (PLS) to determine the effects of six variables on the outcome of fake news sharing. Our results showed that altruism was the most significant factor that predicted fake news sharing of COVID-19. We also found that social media users’ motivations for information sharing, socialisation, information seeking and pass time predicted the sharing of false information about COVID-19. In contrast, no significant association was found for entertainment motivation. We concluded with some theoretical and practical implications.     

大数据共享背景下食品分类的探讨

食品分类方法不统一是我国食品安全相关部门间实现抽检、监测大数据信息融合共享的瓶颈。本文对我国现行的3个主要食品分类系统迚行了分析,在此基础上探讨了新的食品分类系统构建,通过制定统一的食品分类国家标准,纳入更多的食品类别,建立科学的分类原则,形成合理的分类层级和及时增补机制,构建一套统一、科学、权威的食品分类系统,解决当前食品分类不兼容导致各食品安全部门抽检数据难融合的现实问题,可实现跨部门大数据集成共享、信息互联互通,形成食品安全多部门共治的新格局,从而提高我国食品安全监管整体敁率。