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| 1 | 区域旅游流空间结构的高铁效应及机理--以中国京沪高铁为例显示文摘交通是影响旅游流空间结构最主要因素之一。以京沪高铁线为例,探讨了区域旅游流空间结构的高铁效应及特征,在此基础上,分析区域交通可达性变化,并结合区域旅游资源禀赋、区域旅游接待设施、区域旅游交通网络密度以及区位等影响因素分析区域旅游流空间结构的高铁效应的机理。研究表明:1区域旅游流空间结构的高铁效应表现为马太效应、过滤效应、扩散效应和叠加效应等特征。2区位条件、旅游资源禀赋、旅游接待能力、交通网络密度以及时空压缩程度等影响因素共同作用均非常明显态势下,产生高铁马太效应;旅游资源禀赋、旅游接待能力、交通网络密度均不强,时空压缩程度不显著等旅游节点产生高铁过滤效应;区位条件、旅游资源禀赋、旅游接待能力和交通网络密度均具有很强优势,且时空压缩程度明显等旅游节点可成为扩散源,高铁强化了扩散源旅游流集聚作用,然后向边缘旅游地扩散,呈现为'集聚—扩散'模式;高铁使大尺度空间的不同客源地居民出游空间范围出现叠加现象,但只有区位条件、旅游资源禀赋、旅游接待能力、交通网络密度优势较强且时空压缩程度明显旅游节点产生叠加效应。 | 汪德根 陈田 陆林 王莉 ALAN August Lew | 2015 | 地理学报2015，70，2： | 226 |
| 2 | 尺度、变化和恢复力:社区旅游规划的视角显示文摘近年来,恢复力规划逐渐作为可持续发展的一种替代范式,为快速变化中的社区发展和社会-生态转型提供了新的视角。社区恢复力这个新兴概念在很多学科已有所涉猎,旅游学者也从某种程度上逐渐接受这一理念。但大多数关于社区恢复力的研究主要关注的是重大灾难和危机等突发事件,鲜有对渐变事件和过程进行研究。因此,建立一个包含缓慢变量的新框架将进一步拓展恢复力相关研究。论文中建立的旅游恢复力模型包含了从慢到快的变化速率以及从业主到社区旅游收益的不同尺度,并得出一个2×2矩阵,该矩阵中呈现了4种相互区别的恢复力主题、方法和测度,涵盖了从企业家维护日常管理的需求到社区灾难的应急、响应和恢复等诸多方面。作者进而通过对台湾乡村旅游的研究,修订了SCR模型,建立了应对扰动和变化的社区尺度、变化和恢复力系统及子系统推广模型。新的模型改变尺度、变化和恢复力的通用模型,具有等级体系,包含一个系统和至少一个子系统,并以阈值线来界定区分变化程度。另外,对SCR模型的四个象限进行了正式的命名,即管理、资源、规划、治理恢复力/可持续性。 | Alan August Lew 何景明 高彬 | 2016 | 资源科学2016，38，9： | 9 |
| 3 | 区域旅游流空间结构的高铁效应及机理(英文)显示文摘Chinese railway has entered the 'HSR era', while the structure of 'four vertical and four horizontal' railways for transit passengers is almost completed. Taking the Beijing-Shanghai High-Speed Rail(hereinafter referred to as HSR) as an example, this paper first explores HSR's effects on the spatial structure of regional tourist flows using the social network analysis. Next, it notes changes in the accessibility of regional transportation. After analyzing the factors including initial endowment of regional tourism resources, hospitality facilities, the density of the regional tourism transportation network, and locations, the paper discusses the mechanisms through which HSR affects regional tourist flows. The study shows the following:(1) HSR's effects on the spatial structure of regional tourist flows are manifested through the Matthew effect, the filtering effect, the diffusion effect and the overlying effect, and(2) the Matthew effect of HSR is manifested under an obvious interaction of the location, the initial endowment of tourism resources, hospitality capacity, tourist transportation network density and 'time-space compression'. The filtering effect of HSR is manifested for those tourism nodes without favorable location conditions, endowment of tourism resources, hospitality capacity, or tourist transportation network density and without obvious benefits from 'time-space compression'. Those tourism nodes that boast advantages in terms of location condition, endowment of tourism resources, hospitality capacity, tourist transportation network density and obvious 'time-space compression' will become sources for the diffusion effect. HSR will strengthen the aggregation effects of tourist flow in these diffusion sources, which will thereafter diffuse to peripheral tourist areas, manifesting 'aggregation-diffusion'. HSR has overlapped tourists' spatial traveling range over large-scale spaces. However, the overlying effect is only generated in those tourism nodes with a favorable location condition, an endowment of tourism resources, hospitality capacity, tourist transportation network density, and obvious 'time-space compression'. | 汪德根 王莉 陈田 陆林 牛玉 ALAN August Lew | 2016 | Journal of Geographical Sciences2016，26，12： | 7 |
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