A Road to Conflict: Stakeholder’s and Social Network Analysis of the Media Portrayals of a Social-Environmental Conflict in Bolivia

Society’s understanding of a conflict is mediated by information provided in mass media, for which researchers stress the importance of analyzing media portrays of stakeholders in a conflict. We analyze information from the Bolivian press regarding the construction of a road crossing the Isiboro-Sécure Indigenous Territory and National Park (TIPNIS). Using stakeholder’s and social network analyses, we explore stakeholder’s positions and alliances as represented in the media and contrast it with previous scholarly work. We found that some actors cited as central in scholar analyses of the conflict are largely absent in the media (e.g., private investors, conservationist sector) and that the media tend to present stakeholders as having more homogeneous positions than the academic literature does while also neglecting some important alliances in their account. The media also suggests that Indigenous communities are forging stronger alliances with urban sectors and civil society, alliances not stressed by researchers.     

Location choices of Chinese enterprises in Southeast Asia: The role of overseas Chinese networks

Journal of Geographical Sciences - With the implementation of the “Going out” strategy and the Belt and Road Initiative, China’s investments have become increasingly influential...     

Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement

The population distribution grid at fine scales better reflects the distribution of residents and plays an important role in investigating urban systems. The recent years have witnessed a growing trend of applying the nighttime light data to the estimation of population at micro levels. However, using the nighttime light data alone to estimate population may cause the overestimation problem due to excessively high light radiance in specific types of areas such as commercial zones and transportation hubs. In dealing with this issue, this study used taxi trajectory data that delineate people’s movements, and explored the utility of integrating the nighttime light and taxi trajectory data in the estimation of population in Shanghai at the spatial resolution of 500 m. First, the initial population distribution grid was generated based on the NPP-VIIRS nighttime light data. Then, a calibration grid was created with taxi trajectory data, whereby the initial population grid was optimized. The accuracy of the resultant population grid was assessed by comparing it with the refined survey data. The result indicates that the final population distribution grid performed better than the initial population grid, which reflects the effectiveness of the proposed calibration process.     

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.     

基于社会网络理论的旅游系统空间结构优化研究

基于交通网络和旅游资源禀赋的旅游系统空间结构研究具有一定欠缺性。借鉴Shih研究成果,基于旅游者行走游线和旅游流量,分析社会网络理论的程度中心性、接近中心性和中介中心性3个指标作为衡量区域旅游进出通道和中心性、可进入性和旅游集散中心的意义,将目的地划分为区域旅游核心区、缓冲区和边缘区,并对区域旅游分工和设施配备要求提供理论指导。旅游核心区应配备旅游中心、信息中心和口岸交通设施,旅游缓冲区应加强旅游景区建设,旅游边缘区在加强景区建设的同时还应强化宣传工作。探讨旅游系统空间结构的影响因素及其优化措施,并对福建进行实证研究。     

批判实在论在城市空间研究中的应用

批判实在论是一种有关社会科学的哲学理论,它从浅显易懂的本体论出发,抨击了传统科学研究中背离客观实在的种种理想主义倾向,如对“规律性”的迷信、对计量分析方法的过分依赖等。在上世纪80年代批判实在论被引入到西方城市空间研究中、发展为一种新的研究范式,该范式在对传统空间分析研究的批判基础上强调对空间现象的因果机制的阐释,提出了有关因果机制的概念框架,认为只有透过错综复杂的因果关系去把握决定事物的深层结构和机制,才能避免传统研究中常出现的“混乱归因”现象,为此发展了具体研究和抽象研究、深入研究和广泛研究相结合的研究方法,并将其应用于城市空间研究实践中。本研究对批判实在论范式的产生背景和哲学基础等进行了分析,介绍了其理论脉络、方法论和研究实践,并对该范式进行了评价。     

移动轨迹数据可视化方法总结

作为移动社交网络的主体,人们移动带来的位置轨迹不仅记录了人的行为历史,也记录了人与社会的交互活动信息。移动社交网络中位置轨迹数据的分析与利用为解决城市问题提供了一种新的思路。本文概述了轨迹数据可视分析中的几种方法,总结了轨迹数据可视分析研究中存在的问题和面临的挑战。     

旅游背景下传统仪式空间生产的三元互动实践

仪式因其符号性和社会性成为空间研究和理论阐释的绝佳场域,在仪式与仪式空间研究中,仪式背后的社会关系及其对仪式空间的影响尚未得到充分重视。本文以安顺屯堡地戏和芒康加达村巴玛巴典为例,运用访谈法、观察法和文献分析法,回溯并分析两种仪式空间生产的过程与特征,刻画参与和影响仪式空间生产的社会关系,深入解析仪式空间的各个维度及空间生产的三元互动实践,力图比较和呈现旅游发展对地方传统仪式变迁的影响。研究发现,传统仪式的空间是仪式主体社会关系织就的空间,其空间生产本质上是社会关系与空间秩序“重构或调适”的过程;在旅游影响下的仪式空间生产中,空间表征与表征空间之间差异化的互动关系造就了仪式中差异化的空间实践;此外,仪式的空间生产隐含着对现代性消解的抵抗。本文构建了传统仪式空间生产的理论框架,为解读列斐伏尔空间生产与空间三元互动提供了新视角,以揭示旅游与地方文化变迁之间更为深刻的联系。     

中国城市信息网络结构演变特征及驱动因素分析

信息流能够客观反映城市社会经济联系,对城市网络研究具有重要价值。基于2011、2014和2017年中国城市间信息关注度数据,利用社会网络分析法,从网络密度、中心度、城市联系等方面分析中国城市网络结构的演变特征及其驱动因素,研究表明：1）城市信息网络结构明显拓展但网络总体联系强度仍较低;省域内部信息联系强度高于跨区域联系,信息联系仍受行政区划的影响较大。2）网络节点中心度显著提高,热点区主要集中在东部沿海三大城市群;中西部部分区域核心城市如重庆、成都、郑州等成长为全国性核心城市,但中西部地区城市信息发展仍与东部地区差距较大。3）信息联系层级分布特征明显,并呈现局部区域联系紧密、区域一体化特征;核心网络由以北京、上海为核心的“轴-辐”结构演变为以“北京-上海-广深-成渝”为核心的“菱形”结构。4）信息化水平、经济发展基础、城市职能等互补性因素,网络营销、大事件效应等介入性因素及信息技术变革、城市群建设等高效性因素相互作用,共同促进信息网络结构优化重组。     

社区生活圈的新时间地理学研究框架

社区生活圈从居民日常活动及行为视角考察城市社区,是城市地理学和城市相关学科的研究前沿,也是中国国土空间规划体系创新的重要组成部分,以及中国城市社会可持续发展的重要抓手。伴随着流动性和信息化的不断深入,社区生活圈的主体日益多元化、社区活动和居民时空行为日益多样化、社区空间的功能与意义日益丰富化,亟需城市地理学的研究创新与实践引导。时间地理学是理解人与环境关系的社会—技术—生态综合方法,为早期基于时空行为与生活空间的社区生活圈研究提供了重要基础。新时间地理学重视家庭及其他组织企划的交互与时空组合,可为社区生活圈内个体—家庭—社区之间的复杂互动关系研究、时空行为的社会文化制约与多情境分析及模拟提供重要支撑。论文基于新时间地理学方法,从理论、方法和实证3个维度提出社区生活圈的新时间地理学研究框架,具体包括构建社区生活圈的时空行为理论,揭示社区生活圈的时空间结构;创新社区生活圈的时空行为分析和模拟方法;从社区生活圈时空行为优化、社区交往生活圈、社区安全生活圈等方面创新中国城市规划与管理等研究内容。