Optimal Route Planning for Dynamic Experience Based on TOMM Theory Application Innovation: a Case Study of the Three-River-Source National Park
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摘要: 游客的游憩体验是一个多阶段体验的过程，共包含预期、到现场旅行、现场参与、从现场离开、回忆几个阶段。目前整个旅游产业和相关基础设施都在经历数字化，旅游数字化被称为电子旅游。未来电子旅游将扩展到整个旅行周期，保护地的自然旅游也不例外。运用文献调查法、田野调查法、专家打分法、数学建模法等跨学科、探索性的研究方法，对传统保护地游客游憩管理工具−旅游优化管理模型（Tourism Optimization Management Model，简称TOMM理论）进行应用模式创新。具体以三江源国家公园为例，运用人工智能算法解决具有不同游憩需求游客的核心问题−“定制动态体验最优路线规划”，以此为核心可以搭建TOMM理论在电子旅游背景下应用的实践场景，即实现在国家公园应用程序场景下对TOMM理论的应用。TOMM理论在智慧国家公园背景下基于“定制动态体验最优路线规划”APP的应用模式，将解决传统TOMM理论中两大实践难点，即公众主动参与方式和参与度难以把控，实时数据流难以获取和监测。同时该研究将为中国特色智慧保护地系统的建设提供研究基础。
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关键词:
- 旅游优化管理模型 /
- 公众参与 /
- 旅游监测 /
- 人工智能定制路线算法 /
- 国家公园APP
Abstract: The visitor's recreational experience is a multi-stage experience process, including anticipation, on-site travel, on-site participation, departure from the site, and recall. At present, the entire tourism industry and related infrastructure are undergoing digitization, and tourism digitization is called e-tourism. In the future, e-tourism will extend to the entire travel cycle, and nature tourism in protected areas is no exception. This article mainly adopt sinter disciplinary exploratory research methods such as literature review, field investigation, expert scoring, and mathematical modeling to innovate the application model of the visitor recreation management tool in the traditional protected area—Tourism Optimization Management Model (TOMM theory). Taking the Three-River-Source National Park as a case, we use artificial intelligence algorithms to solve the core problem of visitors with different recreational needs—"customized optimal route planning with dynamic experience". With this as the core, it is possible to build a practical scenario for the application of TOMM theory in the context of e-tourism, that is, to realize the application of TOMM theory in the national park application scenario. TOMM theory is based on the application mode of "customized optimal route planning with dynamic experience" APP in the context of smart national parks, which will solve the two major practical difficulties in traditional TOMM theory, that is, it is difficult to control the way and degree of public active participation, and it is difficult to obtain and monitor real-time data streams. At the same time, the research will provide a research foundation for the establishment of the smart protected area system with Chinese characteristics. -
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表 1 三江源国家公园生态体验现有游客分类
机会因子
特征体验对象特征 体验活动特征 环境容量
特征可感
性可达
性氛围
要求时间
投入体力
投入舒适
度容纳游客
规模限制一类游客 1 1 1 1 1 1 1 二类游客 2 2 2 2 2 2 2 三类游客 3 3 3 3 3 3 3 
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[1] 本刊编辑部. 《关于建立以国家公园为主体的自然保护地体系指导意见》发布[J]. 绿色中国,2020(1):31. [2] CLARK R, STANKEY G. The recreation opportunity spectrum: a framework for planning, management, and research[R]. Washington DC: USDA Forest Service General Technical Report, 1979.
[3] GRAEFE A R, KUSS F R, VASKE J J. Visitor impact management: the planning framework[M]. Washington DC: National Parks and Conservation Association, 1990.
[4] STANKEY G H, COLE D N, LUCAS R C, et al. The limits of acceptable change （LAC） system for wilderness planning[M]. Ogden: USDA, Forest Service, Intermountain Forest and Range Experiment Station, 1985.
[5] National Park Service. VERP: visitor experience and resource protection framework[M]. Denver: US Department of Interior, National Park Service Denver, Service Center, 1997.
[6] GRAHAM R,NILSEN P,PAYNE R J. Visitor management in Canadian national parks[J]. Tourism Management,1988,9(1):44-61. doi: 10.1016/0261-5177(88)90057-X
[7] Manidis Roberts Consultants. Developing a tourism optimisation management model （TOMM）[R]. New South Wales: Manidis Roberts Consultants, 1997.
[8] NEWSOME D, MOORE S, DOWLING R. Natural area tourism: ecology, impacts and management[M]. New York: Channel View Publications, 2013.
[9] JIRICKA A,SALAK B,ARNBERGER A,et al. VV-TOMM:capacity building in remote tourism territories through the first European transnational application of the tourism optimization management model[J]. WIT Transactions on Ecology and the Environment,2014,187:93-103.
[10] MAC K K. Developing community tourism in Uganda, the tourism optimization management mode[R]. Kampala: Makerere University & University of Manitoba CIDA Project, Workshop Report on Community Tourism Development Framework in Uganda , 2007.
[11] BROWN G,WEBER D. Using public participation GIS (PPGIS) on the geo-web to monitor tourism development preferences[J]. Journal of Sustainable Tourism,2013,21(2):192-211.
[12] MOORE S,SMITHA J,NEWSOME D N. Environmental performance reporting for natural area tourism:contributions by visitor impact management frameworks and their indicators[J]. Journal of Sustainable Tourism,2003,11(4):348-375. doi: 10.1080/09669580308667211
[13] BROWN G, KOTH B, KREAG G, et al. Managing Australia's protected areas, a review of visitor management models, frameworks and processes[R]. Gold Coast: Sustainable Tourism Cooperative Research Centre（CRC), 2006.
[14] WOLF J. Using GPS data loggers to replace travel diaries in the collection of travel data[D]. Atlanta : Georgia Institute of Technology, 2000.
[15] SHOVAL N,ISAACSON M,CHHETRI P. GPS,smartphones,and the future of tourism research[J]. The Wiley Blackwell Companion to Tourism,2014,31:251-261.
[16] STOPHER P R,GREAVES S P. Household travel surveys:where are we going?[J]. Transportation Research Part A:Policy and Practice,2007,41(5):367-381. doi: 10.1016/j.tra.2006.09.005
[17] ORELLANA D,BREGT A K. Exploring visitor movement patterns in natural recreational areas[J]. Tourism Management,2012,33(3):672-682. doi: 10.1016/j.tourman.2011.07.010
[18] GRINBERGER A Y,SHOVAL N. Typologies of tourists' time-space consumption:a new approach using GPS data and GIS tools[J]. Tourism Geographies,2014,16(1):105-123. doi: 10.1080/14616688.2013.869249
[19] SHOVAL N,AHAS R. The use of tracking technologies in tourism research:the first decade[J]. Tourism Geographies,2016,18(5):587-606. doi: 10.1080/14616688.2016.1214977
[20] DOAN A,RAMAKRISHNAN R,HALEVY A Y. Crowd sourcing systems on the world-wide web[J]. Communications of the ACM,2011,54(4):86. doi: 10.1145/1924421.1924442
[21] LEVIN N,LECHNER A M,BROWN G. An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas[J]. Applied Geography,2017,79:115-126. doi: 10.1016/j.apgeog.2016.12.009
[22] WOOD S,GUERRY A,SILVER J,et al. Using social media to quantify nature-based tourism and recreation[J]. Scientific Reports,2013,3(1):1-7.
[23] 游兮. 多元创新的规划公众参与政策及模式探索[J]. 低碳世界,2016(21):163-164. [24] BIRENBOIM A,SHOVAL N. Mobility research in the age of the smartphone[J]. Annals of the American Association of Geographers,2016,106(2):283-291.
[25] 樊守伟,严艳,张少杰,等. Dijkstra算法与旅游路径优化[J]. 西安邮电大学学报,2014(1):121-124. [26] 袁光辉,谢科,邓林胜,等. 旅游路线动态规划问题研究−以西安市出发为例[J]. 数学的实践与认识,2016,46(15):125-133. [27] 余明朗. 面向景区智能导游的室内外一体化定位及位置服务方法研究[D]. 南京: 南京师范大学, 2013. [28] 胡军国,祁亨年,董峰,等. 一种改进蚁群算法研究和旅游景区路径规划问题求解[J]. 计算机应用研究,2011,28(5):1647-1650. doi: 10.3969/j.issn.1001-3695.2011.05.014 [29] 刘倩,卫文学,张鲁. 改进蚁群算法在景区路径规划中的应用研究[J]. 信息技术与信息化,2012(6):56-59. doi: 10.3969/j.issn.1672-9528.2012.06.14 [30] 徐锋,杜军平. 改进蚁群算法在旅游路线规划中的应用研究[J]. 计算机工程与应用,2009,45(23):193,195,226. [31] 周啸,李胜辉,高奎亮,等. 一种多约束指标改进的动态旅游路线规划算法[J]. 中北大学学报(自然科学版),2019,40(1):63-68,75. -
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