深度休闲对主观幸福感的影响研究——以苏南地区城市居民为例

深度休闲对优化苏南地区休闲产业建设,进一步提升居民休闲生活质量有重要影响。文章通过问卷调查的方式收集苏南地区城市居民深度休闲行为的数据,研究苏南地区城市居民深度休闲行为特征及深度休闲对主观幸福感的影响。结果发现:(1)苏南地区城市居民进行深度休闲活动的场所主要为户外;(2)闲暇时间不足是限制苏南地区城市居民进行深度休闲活动的主要因素;(3)苏南地区城市居民的深度休闲活动总体程度不高,愿意在深度休闲活动上投入大量时间和金钱的人更是少数;(4)苏南地区城市居民从事深度休闲活动产生的强烈认同感和坚持不懈的毅力对主观幸福感有着显著的积极影响。     

Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics,consumer readiness,and health consciousness

Drawing on the notion of parasocial interaction (PSI) and the social comparison theory, this experimental research examines how nutritionist video bloggers (vloggers) influence consumer compliance intentions toward healthy, weight-loss diets. Drawing on two samples (Mexican Americans and White Caucasians) and using structural equation modeling and mediation analysis, this research highlights vloggers’ credibility and physical attractiveness, but not homophily, as salient source characteristics that influence PSI, which in turn reinforces compliance intention. Moreover, consumer readiness, consisting of role clarity, ability, and motivation, serves as a partial mediator of the PSI–compliance intention relationship. Lastly, consumer health consciousness emerged as a significant moderator of the PSI–compliance intention relationship among White Caucasians, but not among Mexican Americans. The findings and their implications are discussed.     

利用改进特征金字塔模型的SAR图像多目标船舶检测

深度学习模型中的特征金字塔网络（Feature Pyramid Network，FPN）常被用作合成孔径雷达（Synthetic Aperture Radar，SAR）图像中多目标船舶的检测。针对复杂场景下多目标船舶检测问题，提出了一种基于改进锚点框的FPN模型。首先将特征金字塔模型嵌入传统的RPN（Region Proposal Network）并映射成新的特征空间用于目标检测，然后利用基于形状相似度距离（Shape Similar Distance,SSD）度量的Kmeans聚类算法优化FPN的初始锚点框，并使用SAR船舶数据集测试。实验结果表明，所提算法目标检测精确率达到98.62%，在复杂场景下与YOLO、Faster RCNN、FPN based on VGG/ResNet等模型进行对比，模型准确率提高，整体性能更好。     

Beyond the boundaries: Challenges for business,policy and society

This editorial article introduces the papers presented at the ITS Seoul 2018 and seven papers selected for the special issue of ITS Seoul 2018. Specifically, this article provides the results of keyword networks, research agendas and coauthor networks of ITS Seoul 2018. A summary of the seven papers accepted for the special issue of ITS Seoul 2018 is also included. Finally, this article concludes by introducing another paper that empirically explores the value of special issues by analyzing the characteristics of special issues of Telecommunications Policy.     

Real estate prices and systemic banking crises

The collapse of real estate prices has historically jeopardized banking stability and triggered systemic banking crises. This paper studies risk contagion in a banking system in real estate price shock by adopting complex network theory. Modelling the real estate-related asset as a common exposure of banks to the real estate market, we propose a model that incorporates two main risk contagion channels, i.e., the financial network and asset fire sales, and reveal how the real estate price shock is transmitted and propagated across banks. We demonstrate that banking stability is highly sensitive to the real estate price shock. Moreover, due to the particularly low liquidity of the real estate market, the asset fire-sales of real estate assets overwhelms the financial network, playing the dominant role in risk contagion. Our model can be adopted by regulators to conduct stress testing and to forge effective risk management strategies.     

Using artificial neural network and multivariate analysis techniques to evaluate road operating conditions

Regional paved roads are low volume roads with a prevalence of heavy traffic. In the world, these roads concern about 80% of the total road network; however, the traffic that affects these roads is about 20%. Since regional roads are characterized by weak demand, budget for their management/maintenance is very low. This produces considerable difficulties in the choice of strategies for maintenance planning and scheduling. For this reason, the recurring topics of research in this field deal with typical roads issues and aim to develop low cost tools and methods. The study proposes a decision support system to evaluate regional paved roads operating condition in relation to the hydrogeological situation. In particular, the system allows to evaluate in a quick and easy manner, the operating conditions of the road, through low-cost tools (i.e. using low economic resources). This is very useful in the case of LVRs because administrations for these roads have a limited budget. The procedure is developed on a regional paved roads network based on more than 80 roads located in Southern Italy. Data is collected by direct surveys in the field and is integrated with cartography and information available in road agency records. From data analysis, obtained using two different techniques, an easy and quick use procedure is made. In particular, Model 1 is built through multivariate analysis and Model 2 using the artificial neural network (ANN) technique. The results show the validity of the two models in Regional paved roads operating conditions estimation in relation to hydrogeological situations of sites. Both models show good reliability. In particular, the first model (Model 1) is characterized by a high level of significance (p < 0.01) and by a coefficient of determination equal to 0.82. Comparative tests between the second model (Model 2) on which standard tests cannot be performed for obvious reasons, and the first model (Model 1). The results show that the ANN model (model 2), characterized by lower residual, simulates more accurately than the second (Model 1).     

The Internet of Things as an accelerator of advancement of broadband networks: A case of Thailand

The advanced development of broadband access is an inevitable step toward supportive daily lives and sustainable economic growth. However, the decisive outcome of the development relies heavily on the demand side. Consumer choice among advanced Internet broadband technologies will determine the achievement of the development. This study aims to illustrate that consumer decisions on choices of advanced Internet access are influenced by the emergence of the Internet of Things (IoT) applications. A bivariate probit model is applied to examine the effects of IoT, consumer's individual characteristics, and their current use of networks on their decision pertaining to the choice of advanced Internet access. Using Thailand as a case study, the result indicates that the emergence of IoT applications accelerates the adoption of both advanced mobile broadband (5G) and advanced fixed broadband (FTTH). This finding may help policy makers to optimize the future direction of the Internet infrastructure development in Thailand, and also countries in a similar stage.     

Tourism as a discipline in light of the non-classical sociology of science

Embedding the issue of the recognition of tourism by the academia in the context of the scientific identity of the researchers of tourism can bring valuable insights into the debate. Moreover, such an approach is aligned with the main assumptions of social constructionism and the non-classical sociology of science (knowledge) stemming from the paradigm theory of science formulated by Kuhn. These concepts served as the foundations for the present research, allowing for the formulation of its main hypothesis: that every academic community has the right to decide whether it accepts tourism as a separate academic discipline or not, and that there is no reason why any opinion on this matter should be imposed on everyone. Another useful piece of information can be gained by adopting an epistemological perspective in the form of the questions: will separating tourism from other disciplines make it possible for us to learn more about it? Or should we continue considering it through the prisms of other disciplines? These were the premises which drove both parts of the present research: literature query and empirical study (which featured results from researchers from all around the world), and were addressed in the conclusion.     

基于共生理论的具有历史遗存的城市公园改造研究

具有历史遗存的城市公园是指在公园红线范围内含有一定文化价值的历史文化景点、文化遗产和文物保护单位等历史遗存的城市公园，其改造与更新的核心问题是平衡公园的保护传承与复兴发展，寻求二者的共生，如何科学有效地平衡协调两者之间的关系成为改造的关键。基于共生理论的解读与启示，以江西省南屏瀚峰文化公园为例，分别从文化、功能和空间3个方面深入分析了公园存在的主要问题，并结合实例，探讨了具有历史遗存的城市公园改造与更新的共生策略与实践措施。