实验人文地理学基本理论与技术平台研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
自1945年世界上第一台电子计算机诞生以来,计算机凭借其独有的高速存储、管理、处理数据的优势,对其它学科领域(地理学、经济学等)产生了重大影响。1950年代,在计算机科学技术的推动下,地理学家首次将计算机科学、数学模型和统计学应用到地理学研究课题中,产生了地理学领域的第一次“计量革命”。之后,随着计算机科学技术、数据库技术和网络技术的迅速发展,促成了早期桌面版地理信息系统(Geographical Information System, GIS)出现和随后网络地理信息系统的流行和广泛应用。曾经,经济学能否像化学、生物学和自然科学那样,采用实验的方法进行研究,一直被经济研究学术界争论不休。然而,经济学家Chambelin1948年在哈佛大学进行了一场用于验证不完整性的课堂实验,开启了经济学实验研究的先河。之后,经济学实验在常规的经济学研究领域(市场理论、个人选择理论和博弈论等其他方面研究)大放异彩。早期的经济学实验都是在教室里,采用纸、笔、黑板、时钟等设备来进行的。随着计算技术和网络技术日新月异的发展,1980年以后,越来越多的经济学实验借助于计算机来进行数据的收集、交流和存储,不仅提高了经济学实验的效率,同时也促进了实验经济学的极大发展,从而进入了计算机实验经济学的时代。人文地理学的研究核心是人地关系,那么在实验经济学研究的启发下,我们能否也像经济学一样,设计实验方案,通过让真实的行为人参与计算机人文地理学网络实验,来研究人与地之间的关系呢?
     因此,本文以计算机技术、计算机网络技术、数据库技术和地理信息系统技术为依托,在实验经济学研究思路的启发下,提出了实验人文地理学的概念,并选择了人文地理学的两个典型研究问题(城市居民居住区位选择问题和旅游目的地选择问题),通过计算机网络实验的方法展开深入研究。在两个研究案例的基础上,总结归纳出实验人文地理学的基本理论、实验框架设计和实验平台开发的关键技术。论文撰写遵循引论—文献回顾—案例研究—实验人文地理学基本理论归纳总结—平台实现技术—总结讨论的研究思路,将全文分为六章。
     第一章,从计算机实验科学的研究进展出发,讨论了计算机技术在地理学和经济学领域的发展和应用。进而,阐述了地理信息科学在人文地理学中的应用和实验经济学的兴起与发展。最终,在地理信息科学技术和计算机技术的支撑下,在实验经济学研究思想的启发下,本章提出了实验人文地理学的概念和研究范畴,并选择人文地理学领域的两个典型研究问题—城市居民居住区位选择和旅游目的地选择问题,展开实例研究。
     第二章,基于实验人文地理学的思想,本章以城市居民居住区位选择为例,对居民的居住区位选择的空间行为决策进行研究。首先阐述了居住区位选择问题所涉及的基本概念,包含城市居住区位、城市居住空间和城市居住空间分异。然后对居住区位选择的理论基础和研究进展进行了相关的文献回顾,并总结了影响居住区位选择的影响因素。在对居住区位选择问题文献回顾的基础上,本章提出了基于实验人文地理学思想的居住区位选择问题的实验设计方案和实施步骤,具体包括实验问题的描述、实验的目的、实验的前提假设、实验的具体思路以及分情景实验的具体步骤。该实验过程总共涉及4个情景实验,分层递进的考察不同因素对居民居住地选择行为的影响以及城市空间结构中设施布局改变对居民居住地选择行为的影响。最后,同心圆城市空间结构和扇形城市空间结构情形下四个情景实验系统的结果表明:(1)在两种典型的城市空间结构情形下,被试者均表现出对居住区位周边的交通因素和学校因素最为关注。(2)绝大多数的被试者偏向于选择在交通方便,基础设施配备齐全的近郊地区居住,而对传统居住地选择理论中传统距市中心上班的交通距离因素关注较少。(3)结论1和2说明,城市规划者和政策制定者,可以通过控制基础设施的有效布局来影响和引导人类的居住空间选择,进而,研究和控制城市的居住空间分异现象产生。
     第三章,同样基于实验人文地理学的思想,本章选取旅游目的地选择作为研究案例,对被试者在一定可支配旅游时间和资金的约束下的旅游目的地决策行为进行研究。首先阐述了旅游目的地选择问题所涉及的基本概念,包含旅游者、旅游目的地和旅游者空间行为。然后梳理和回顾了旅游目的地选择的理论基础和研究进展,总结了影响旅游目的地选择的影响因素。在对旅游目的地选择问题回顾总结的基础上,本章提出了基于实验人文地理学思想的旅游目的地选择研究的实验设计方案和实施步骤,具体包括实验问题的描述、实验前提假设、实验的具体思路以及实验的具体步骤。最后实验结果表明,在有效的奖惩机制的激励下,被试者通过实验过程中不断的学习、总结经验,表现出试图通过选择更多的旅游目的地来追寻获得更大旅游效用的行为规律。
     第四章,在上述第二、三章分别对城市居民居住区位选择和旅游目的地选择问题实验案例研究的基础上,本章归纳总结出了实验人文地理学的研究方法和实验原则。实验原则总共包含6项:价值诱导原则,响应博弈原则,实验可控原则,结论统计原则,地理逼近原则和实验封装原则。进而提出了基于GIS技术、Web服务技术和面向对象思想的实验人文地理学实验平台开发的研究框架。
     第五章,主要阐述了基于实验人文地理学的系统开发的关键技术和第二、三章居住区位选择实验、旅游目的地选择实验研究的具体系统实现。实验人文地理学的系统开发的关键技术主要涉及地理信息服务技术和面向对象的数据操作技术(类思想、LINQ to SQL技术)。居住区位选择实验系统和旅游目的地选择实验系统的主要功能包含:用户注册登录、地理信息浏览查询、居住区位信息或者旅游目的地信息查询、实验环境数据更新和实验结果查询。
     第六章,进行了总结和讨论,并展望下一步实验系统的可完善和改进之处。
Since1945, the world's first electronic computer was birth. It has the advantage of its unique high-speed storage, management, processing data. So, it had a significant impact other disciplines (geography, economics, etc.). In1950s, under the computer science and technology driving, geographer computer sciences firstly apply computer technology, mathematical and statistical models to geography research, which made the first measurement revolution coming. After that, with the rapid development of computer science and technology, database technology and network technology, they contributed to the early desktop geographic information system (Geographical Information System, GIS) and the subsequent Web GIS popular. Whether the economics can have the experimental mean, such as chemistry, biology and natural sciences, it has been debated by the Economic Research academia.
     However, economists Chambelin firstly used the classroom experiment to verify the integrity in1948, at Harvard University, which open experimental study of economics. After that, economics experiment is used in conventional economics research areas (market theory, personal choice theory, and game theory and other aspects of research) and was shining. The early economics experiments are in the classroom, using paper, pens, blackboard, clock and other equipment to carry. With the rapid development of computing technology and network technology, after1980, a growing number of economics experiments through the use of computers for the collection, exchange and storage of data, not only improve the efficiency of economics experiments, while also promoting the great development of economics. Human Geography Research core is the relationship between people and land. Under the experimental economics research inspiration, we think about that can we study the Anthropogeography problem by the use of computer network experiment, like economics.
     Therefore, relying on computer technology, computer network technology, database technology and geographic information system technology, under the inspiration of experimental economics research, this paper put forward the experimental Anthropogeography concept, and selected two typical Anthropogeography problem(city residents living location choice and destination choice) to study by the use of the experimental methods. On the basis of two case studies, this paper summarized out the experimental Anthropogeography basic theory, experimental framework design and experimental platform developed key technologies. This thesis consists of six chapters, such as the introduction-Literature Review-Case Studies-the conclusion of the experimental Anthropogeography basic theory-platform technology-summarize and discussion.
     The chapter1st discusses the development and application of computer technology in the fields of geography and economics. And then we discuss the rise of experimental economics and the development of geographic information science in Anthropogeography. Finally, in support of geographic information science and technology and computer technology, this chapter presents the experimental Anthropogeography the concept and scope of the study. Further, we make the research on the two typical problems-city residents living location choice and destination choice in Anthropogeography field.
     Chapter2nd studies the spatial behavior of the urban residential location choice. First, we expound the basic concepts involved in the choice of residential location contains the location of urban living, urban living space and urban living space differentiation. Then we make the theoretical basis and research progress on residential location, and summarize the influencing factors that affect the choice of residential location. Following, we make the experimental design scheme and implementation steps, including experimental problems description, experiment's purpose, and the experiment's premise assumptions as well as sub-scenario experiment specific steps. The experiment involves a total of four scenarios experiments tiered progressive effects of different factors on the selection behavior of residents location facilities as well as the structure of urban space layout changes affect the residents location choice behavior. Finally, the results show that,(1) under the two typical cases of urban spatial structure, the subjects give more concentration on the traffic factors surrounding the residential location.(2) The majority of subjects are tend to choose convenient infrastructure fully equipped suburban areas to live on, pay less attention to the commuting distance factor from the city center, which is important factor in the traditional residential location choice theory.
     Chapter3rd selects tourist destinations choosing as a case study, which aims to study the tourist destination decision-making behavior of subjects in disposable travel time and money constraints. First the chapter expounds the basic concepts involved in the tourist destination choice, including tourists, tourist destination and tourist's spatial behavior. Then it reviews the theoretical basis and research progress of destination choice, sums up the impact of factors affecting destination choice. Following, it elaborates the experimental design and implementation steps, which including the experimental problems specific experimental hypothesis, experiment specific ideas and experiments of concrete steps. Finally, experimental results show that effective incentive mechanism of excitation subjects to pursue law behavior for greater travel utility by selecting a travel destination through continuous learning, summing up experience during the experimental process.
     Chapter4summarizes the experimental Anthropogeography research methods and experimental principles on the basis of the second and third chapter's contents respectively residential location choice for urban residents and tourist destination choice experiment case study. The experimental principle totally contains six: the value of the induction principle, in response to game, the principles of experimental controllability, conclusions of statistical principles geographic approximation principles and experimental principle of encapsulation. And then, this chapter puts forward the experimental Anthropogeography experimental platform development framework based on GIS technology, Web services technology and object-oriented thinking.
     Chapter5th mainly discusses the development key technologies in the experimental Anthropogeography system and the specific system contents with respect to the residence location choice experiments and destination choice experiment study. Experimental Anthropogeography key technology of system development is mainly related to geographic information services, technology and object-oriented data manipulation techniques (class thinking, LINQ to SQL technology). Residential location choice experiment system and destination choice experimental system features both include the following contents:user registration login, geographic information browsing queries, residential location or destination information queries, and experimental environmental data updates and the experimental results of the query. Chapter6th is the conclusion and discussion of the dissertation.
引文
[1].白光润.微区位研究[J].上海师范大学学报(自然科学版),2003,32(3):79-80.
    [2].白光润.现代地理科学导论[M].华东师范大学出版社,2003.
    [3].保继刚,楚义芳.旅游地理学[M].北京:高等教育出版社,1999.
    [4].保继刚,楚义方.旅游地理学[M].北京:高等教育出版社,2002.
    [5].保继刚,楚义芳旅游地理学[D].北京高等教育出版社,1999.32-47.
    [6].卞显红.旅游者目的地选择二影响因素分析[J].地理与地理信息科学,2003,19(6):83-88.
    [7].波特.国家竞争优势[M].北京:华夏出版社,2002.68.
    [8].蔡志明.议价行为的博弈理论与博弈实验研究[J].华东师范大学学报(哲学社会科学版)1999,6:68-74.
    [9].蔡志明.经济学中的实验方法与技术-兼论实验经济学的发展[J].华东师范大学学报(哲学社会科学版);1997,3:35-42.
    [10].曹嵘,白光润,王琳.城市住宅的生态区位探析[J].人文地理,2004,19(1):13-16.
    [11].曹嵘.城市居住区位研究-以上海市中心城区为例[D].上海师范大学,2003
    [12].曹振良.房地产经济学通论[M].北京:北京大学出版社,2002.
    [13].柴彦威,周一星.大连市居住郊区化的现状、机制及趋势[J].地理科学,2000,20(2):127-132.
    [14].柴彦威.以单位为基础的中国城市内部生活空间结构-兰州市的实证研究[J].地理研究,1996,3:30-37.
    [15].陈健昌,保继刚.旅游者行为研究及其意义[J].地理研究,1988,7(3):44-51.
    [16].陈述彭,鲁学军,周成虎.地理信息系统导论[M].北京:科学出版社,2000:220-238.
    [17].程海燕,施建刚.房地产市场区位性及其投资影响分析[J].房地产市场,2000,10:22-26.
    [18].刁宗广.中国农村居民旅游消费水平及区域差异研究[J].地理科学.2009.29(2):195-199.
    [19].丁成日.城市空间规划-理论、方法与实践[M].北京:高等教育出版社,2007.
    [20].丁国杰,张耀伟.产业组织实验研究综述[J].外国经济与管理,2005,27(1):51-58.
    [21].董昕.城市住宅区全及其影响因素分析[J].城市规划,2001,2:33-39.
    [22].董亚娟和马耀峰.MEC及其在旅游者行为研究中的应用[J].商场现代化,2006,12:268-270.
    [23].董志勇.实验经济学[M].北京:北京大学出版社,2008.
    [24].杜宁华.实验经济学[M].上海:上海财经大学出版社,2008
    [25].段建华.基于WebGIS的分布式接处警系统研究[D].中国地质大学,2010.
    [26].冯乃康.中国旅游文学论稿[M].北京:旅游教育出版社,1995.
    [27].冯亚丽,刘岩,富宇多层次、构件化的WebGIS模型研究[J].齐齐哈尔大学学报,2007,23①:80-82.
    [28].高鸿祯.实验经济学导论[M].北京:中国统计出版社,2003.
    [29].谷明.大连城市旅游形象定位及整体策划[J].旅游学刊,2000,5:63-67.
    [30].顾朝林,C·克斯特洛德.北京社会空间结构影响因素及其演化研究田.城市规划,1997,4:385-393.
    [31].顾庆良,陈秀华.在中国议价行为的实验经济学研究[J].东华大学学报,2001,1(2):25-31.
    [32].管驰明,姚七谋,陆树建,邱阳民.基于全球区位论的城市发展研究——以江苏省南通市为例,人文地理,2003,18(4):69-74
    [33].郭亚军.旅游者决策行为研究[D].西北大学,2010.
    [34].郭雁.基于Web的实验经济地理学平台开发与探讨[D].华东师范大学,2010.
    [35].侯国林,张小林,卞显红.长三角都市圈城市居民度假旅游行为决策研究[J].商业研究,2006,337:4-8.
    [36].黄潇婷.旅游者时空行为研究[M].北京:中国旅游出版社,2011.
    [37].江曼琦.城市空间结构优化的经济分析[M].北京:人民出版社,2001.
    [38].金相郁.20世纪区位理论的五个发展阶段及其评述[J].经济地理,2004,24(3):294-298
    [39].金雪军,杨晓兰.基于实验经济学方法的证券市场信息有效性研究[J].浙江大学学报,2005,35(6):80-88.
    [40].金雪军,杨晓兰.实验经济学[M].北京:首都经济贸易大学出版社,2006.
    [41].金雪军,杨晓兰.证券交易制度实验研究及其对中国的借鉴意义U].财经理论与实践,2004,6:50-55.
    [42].井润田.关于实验经济学中理性假定的研究[J].电子科技大学学报,1999,6:591-595.
    [43].景秀.双向拍卖与明码标价交易制度的绩效比较—实验经济学的研究[J].市场周刊·理论研究,2011,9:84-86.
    [44].康琪雪.居民的居住区位选择状况分析-基于北京市调查数据[J].财经问题研究,2010,10(323):118-123.
    [45].黎夏,叶嘉安.约束性单元自动演化CA模型及可持续城市发展形态的模拟[J].地理学报,1999,54(4):289-297.
    [46].李琦,孙根年.中国省际入境旅游资源吸引力与区位可达性的矩阵分析[J].干旱区资源与环境,2008,22(5):101-106.
    [47].李山,王慧,王铮.中国国内观光旅游线路设计中的游时研究[J].人文地理,2005,2:51-56.
    [48].李玮娜.基于选择域理论的旅游目的地选择模型评述[J].生产力研究,2011,203-205
    [49].李小建,李国平,曾刚,覃成林,林炳耀,张文忠.经济地理学[M].北京:高等教育出版社.
    [50].李宜景,孙根年.旅游市场竞争态模型及其应用研究[J]资源科学,2002,24(6):91-96.
    [51].林岚,许志晖,丁登山.旅游者空间行为及其国内外研究综述[J].地理科学,2007,3:434-439
    [52].刘德谦.中国旅游文学新论[M].北京:中国旅游出版社,1997.
    [53].刘茜.公共物品供给机制与政府定位研究[D].南开大学,2010.
    [54].刘旺,张文忠.城市居民居住区位选择微观机制的实证研究—以万科青青家园为例[J].经济地理,2006,26(5):802-805.
    [55].刘文忻,龚欣,张元鹏.社会偏好的异质性、人理性与合作捐献行为—基于公共品自愿捐献机制的实验研究[J].经济评论,2010,5:5-15.
    [56].刘焰.旅游心理承载力:决定因素及计量模型[J].上海经济研究,2003,2:60-63.
    [57].陆守一.地理信息系统[M].北京:高等教育出版社,2004:18-19.
    [58].吕露光.城市居住空间分异及贫困人口分布状况研究--以合肥市为例[J].城市规划,2004,6(6):74-77
    [59].马国霞,甘国辉.区域经济发展空间研究进展[J].地理科学进展,2005(3):90-99.
    [60].马小均,韩军.居民居住区位选择影响因素分析[J].合作经济与科技,2009,379:16.
    [61].马耀峰,李天顺,刘新军.中国入境旅游研究[M].北京:科学出版社,2008.
    [162].马耀峰,李永军.中国入境后旅游流的空间分布研究[J].人文地理,2001,16(6):44-46.
    [63].毛端谦,张捷,包浩生.基于Lancaster特性理论的旅游目的地选择模式—理论分析与江西省旅游客流的实证研究[J].地理研究,2005,24(6):992-999.
    [64].毛端谦,张捷,包浩生.旅游目的地映象的对应分析——以江西庐山、龙虎山、三清山、井冈山为例[J].长江流域资源与环境,2003,1:23-28.
    [65].青静娴.城市居民居住区位选择研究[D].重庆大学,2007.
    [66].邱荣旭.中国旅游圈空间格局的ABS分析[D],上海:华东师范大学,2010.
    [67].施棉军初始排污权拍卖机制实验研究[D].湖南师范大学,2009.
    [68].宋家泰,顾朝林.论地理学的现代区位研究[J].地域研究与开发,1987,6(2):2-9.
    [69].孙根年,冯茂娥.西部入境旅游市场竞争态与资源区位的关系[J].西北大学学报,2002,34(4):459-464.
    [70].孙根年,张毓,薛佳.资源-区位-贸易三大因素对日本游客入境旅游目的地选择的影响[J].地理研究,2011,30(6):1032-1043.
    [71].孙根年新世纪中国入境旅游市场竞争态势分析[J].经济地理,2005,25(1):121-125.
    [72].唐方方,宗计川.经济学实验室研究方法论述[J].财经问题研究,2009,10:3-9.
    [73].唐邵玲,刘琳,施棉军.初探我国排污权市场交易机制的构建[J].中国软科学增刊(下),2009.
    [74].陶海燕,黎夏,陈晓翔,刘小平.基于多智能体的地理空间分异现象模拟—以城市居住空间演变为例.地理学报,2007,62(6):579-588.
    [75].汪丁丁.实验经济学与中国经济学建设[J].经济学动态,1994,7:47-51.
    [76].王洁洁,孙根年.18年来中韩出入境旅游与进出口贸易的实证分析[J].软科学,2010,30(3):123-129.
    [77].王兴中,刘永刚.人文地理学研究方法论的进展与“文化转向”以来的流派U].人文地理,2007.3:1-7.
    [78].王兴中,郑国强,李贵才.行为地理学导论[M].西安:陕西人民出版社,1988.
    [79].王兴中.城市住宅空间结构的演变与社会区域划分的研究[J].城市问题,1995,1:15-20.
    [80].王亚民,赵捧未.地理信息系统及其应用[M].西安:西安电子科技大学出版社,2006:6-7.
    [81].王瑛,王铮.旅游业区位分析-以云南为例[J].地理学报,2000,52(3):315-321.
    [82].王莹,徐亚东,王元浩.农民旅游特征及旅行社市场开发对策研究[J].农村经济.2008.10:54-63.
    [83].王铮,隋文娟,姚梓璇等.地理计算及其前沿问题[J].地理科学进展,2007,26(4):1-10.
    [84].王铮,吴静.计算地理学[M].北京:科学出版社,2011.
    [85].王铮,夏海滨,吴静.普通地理学[M].北京:科学出版社,2010.
    [86].王铮,张丕远.历史气候变化对中国人口与社会发展的影响[J].地理学报,1996,51(4):329-339.
    [87].危辉,白宇.一种基于MAS和GIS平台的城市人口变迁模拟仿真方法[J].智能系统学报,2009,4(1):44-58.
    [88].邬伦、刘瑜等,地理信息系统-原理·方法和应用[M].北京:科学出版社,2001.
    [89].吴必虎,唐俊雅,黄安民,等.中国城市居民旅游目的地选择行为研究[J].地理学报,1997,52(2):97-103.
    [90].吴必虎.区域旅游规划原理[M].北京:中国旅游出版社,2001,134-135.
    [91].吴传钧.人地关系与经济布局[M].北京:学苑出版社,1998.
    [92].吴静.人地关系分析的自主体模拟理论框架及其平台开发研究[D].华东师范大学,2008.
    [93].吴丽霞,赵现红.入境旅游者目的地选择影响因素及地域差异研究[J].地域研究与开发,2011,3()(2):105-109
    [94].吴启焰,崔功豪.南京市住宅空间分异特征及其形成机制[J].城市规划,1999,23(12):23-26.
    [95].吴启焰.大城市居住空间分异研究的理论与实践[M].北京:科学出版社,2001.
    [96].吴一平.上海旅游圈形成机制的ABS分析[D].华东师范大学,2009.
    [97].向大庆.商品住宅消费中的择居意向与价值观[J].新建筑,1995,2:47-49.
    [98].肖洪根.旅游时空模式与目的地的选择[J].旅游资源,1998,14(1):32-34.
    [99].谢彦君.论旅游的现代化和原始化[J].旅游学刊,1990,4:49-51.
    [100].修春亮,夏长君.中国城市社会区域的形成过程与发展趋势[J].城市规划汇刊,1997,(4):59-62.
    [101].许晓晖.上海市商品住宅价格空间分布特征分析[J].经济地理,1997,1:80-87.
    [102].薛领,翁瑾.我国区域旅游空间结构演化的微观机理与动态模拟研究[J],旅游学刊,2010,25(8):26-33.
    [103].薛领,杨开忠.城市演化的多主体(multi-agent)模型研究[J].系统工程理论与实践,2003.12:1-9.
    [104].阎小培,周春山等.广州市及周边地区商品房的开发与分布[J].地理学报,2001,56(5):570-580.
    [105].晏国祥,方征.论消费者行为研究范式的转向[J].外国经济与管理,2006,28(1):54-59.
    [106].杨开忠,吴必虎.区域旅游研究的几个问题[M].区域旅游开发与管理,北京:海洋出版社,1998.
    [107].杨萌凯.交通技术创新与城市空间形态的演化[J].城市问题,1999,2:
    [108].杨青生,黎夏,刘小平.基于Agent和CA的城市土地利用变化研究[J].地球信息科学,7(2):78-81.
    [109].杨盛元.大城市居住区位演变浅议-以重庆为例[J].经济地理1996,2:12-17
    [110].杨吾扬,梁进社.高等经济地理学[M].北京:北京大学出版社,1997.
    [111].杨新军,牛栋,吴必虎.旅游行为空间模式及其评价[J].经济地理,2000,20(4):104-108.
    [112].姚艳红,罗焱.旅游者目的地选择的TPB模型与分析[J].旅游科学,20(5):20-25.
    [113].尹世杰.我国旅游消费的发展趋势[J].南方经济,2003,4:30-33.
    [114].余剑梅.西方实验经济学探析[J].经济学动态,1999,9:59-62.
    [115].张凡,吴晓军,薛惠峰.CAs理论在中心地理论研究中的应用[J].微计算机应用,2005.26(2):133-138.
    [116].张宏磊,张捷,曹靖,刘传华,史春云,杨暘.基于出游动机的游客目的地选择的离散选择模型研究[J].旅游学刊,2008,23(6):43-47.
    [117].张力,李雪铭,张建丽.基于生态位理论的居住区位及居住空间分异[J].地理科学进展,2005,25(2):1548-1554.
    [118].张卫红.旅游动机定量分析及其对策研究[J].山西财经大学学报,1999,4:100-103.
    [119].张文忠,刘旺,李业锦.北京城市内部居住空间分布与居民居住区位偏好[J].地理研究,2003,22(6):751-759.
    [120].张文忠,刘旺,李业锦.北京城市内部居住空间分布与居民居住区位偏好[J].地理研究,2003,22(6):751-759.
    [121].张文忠,孟斌,吕昕,刘旺.交通通道对住宅空间扩展和居民住宅区位选择的作用—以北京市为例[J].地理科学,2004,24(1):7-13.
    [122].张文忠.经济区位论[M].北京:科学出版社,2000.300-324.
    [123].张文忠.城市居民住宅区位选择的因子分析[J],地理科学进展,2001,(9):268-275.
    [124].张文忠.城市居民住宅区位选择的因子分析[J].地理科学进展,2001,20(3):267-275.
    [125].张霞.地理信息服务组合与空间分析服务研究[D].武汉大学,2004.
    [126].章必功.中国旅游史[M].昆明:云南人民出版社1992.
    [127].赵荣,王恩涌,张小林等.人文地理学[M].北京:高等教育出版社,2006.
    [128].赵现红.基于游客特性的旅游目的地离散选择实证研究-以三大口岸中转型入境游客为例[J].旅游学刊,2009,24(12):60-65.
    [129].赵一斌,石心怡,关志超.基于GIS支持的出行行为时间、空间及序列特征研究,中山大 学学报,2010,49(1):43-47.
    [130].赵莹,柴彦威。陈洁,马修军.地理与地理信息科学[J].时空行为数据的GIS分析方法,2009,25(5):1-5.
    [131].郑群名.农村居民的旅游态度和出游特征研究[J].旅游科学.2004.18(2):9-14.
    [132].郑群明,钟林生.农村居民旅游认知特征分析[J].地理研究.2005.24(4):591-600.
    [133].郑思齐,符育明,刘洪玉.城市居民对居住区位的偏好及其区位选择的实证研究[J].经济地理,2010,29(12):194-198.
    [134].郑思齐,符育明,刘洪玉.利用排序多元Logit模型研究城市居民的居住区位选择[J].地理科学进展,2004,23(5):86-93
    [135].钟章奇.中国旅游业空间分异的三次地理作用:基于Agent模拟的研究[D],上海:华东师范大学,2012.
    [136].周国忠,朗富平.农民旅游者出游特征、影响因素及对策[J].经济地理.2009.29(4):688-692
    [137].朱仁鹏.在校大学生旅游行为模式的实证研究-以西安高校大学生为例[D].长安大学,2007.
    [138].朱仁鹏.在校大学生旅游行为模式的实证研究-以西安高校大学生为例[D].长安大学,2007.
    [139].朱印宏,苏震巍ASP.NET 3.5+ SQL Server网站模块化开发[M].北京:清华大学出版社,2009.
    [140]. Adamowicz, W., Bocal, P., Williams, M.,& Louviere, J. Stated preference approaches for measuring passive use values: Choice experiments and contingent valuation [J]. American Journal of Agricultural Economics,1998,80(February):64-75.
    [141]. Alonso, W. Location and Land Use, Toward a General Theory of Land Rent. Cambridge, MA,1964
    [142]. Amaya Vega, Aisling Reynolds-Feighan.A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns, Transportaiton Research Part A,2009,43:401-419.
    [143]. An Analysis of Decision under Risk. Daniel Kahneman; Amos Tversky [J]. Econometrica, 1979,47(2):263-292.
    [144]. ANAS A, ARNOTT R, SMALL K A. Urban spatial structure [J]. Journal of Economic Literature,1998,36:1436-1464.
    [145]. Ankomah P, Crompton J, Baker D. Influence of cognitive distance in vacation choice[J]. Annals Of Tourism Research,1996,23(1):138-150
    [146]. Baloglu S. The relationship between destination images and socio-demographic and trip characteristics of international travelersl [J]. Journal of Vacation Marketing,1997,3:221-233.
    [147]. BATTY M, JIANG Bin. Multi-agent simulation:New approaches to exploring space-time dynamics within GIS [C]//Annual Meeting ofGISRUK' 99(Geographical Information Systems Research-UK). University of Southampton, Southampton, UK,1999:14-16.
    [148]. Beaman, J. Corrections regarding the impedance of distance functions for several g(d) functions [J]. Journal of Leisure Research,1976,49-52.
    [149]. Beaman, J. Distance and the reaction to distance as a function of distance [J]. Journal of Leisure Research,1974,6(summer):220-231.
    [150]. BENENSON I, OMER I, PORTUGALI J. An agent-based model of residential mobility in the Tel-Aviv metropolitan area[C] The Ⅳ International conference on computation. Fredericksburg, VA, USA,1999:92-99.
    [151]. BENENSON I. Multi-agent simulations of residential dynamics in the city [J]. Computers, Environment and Urban Systems,1998,22(1):25-42.
    [152]. Bergstrom, Theodore C., Blume, Lawrence E. and Varian, Hal R. On the Private Provision of Public Goods Q]. Journal of Public Economics, February 1986,29:25-29.
    [153]. Bernstein R. Praxis and Action [M]. London: Duckworth,1972.
    [154]. Boniface B G & Cooper C P, The geography of travel and tourism [M]. London,1987.
    [155]. Boniface, B.G. and Cooper, C. Case Study:World patterns of international tourism flows. In: Boniface, B.G. and Cooper, C. Worldwide Destinations:The Geography of Travel and Tourism [M].3rdedn. Oxford: Butterworth-Heinemann,2001.
    [156]. Bonnefov, J.L. From households to urban structures: space representation as engine of dynamics in multi-agent simulations. CyberGeo,2003.
    [157]. Borgers, A. W. J., Van Der Heijden, R. E. C. M.,& Timmermans, H. J. P. A variety seeking model of spatial choice-behavior [J]. Environment and Planning A,1989,21:1037-1048.
    [158]. Bowden J. A logistic regression analysis of the cross cultural differences of the main destination choices of international tourists in China. S main gateway cities [J]. Tourism Geographies,2006,8(4):403-428.
    [159]. Brueckner, J.K., Thisse, J.-F., Zenou, Y. Why is central Paris rich and downtown Detroit poor? An amenity-based theory [C]. CORE Discussion Papers 1996065, Universite catholique de Louvain, Center for Operations Research and Econometrics (CORE),1996.
    [160]. Buliung R N,Kanaroglou P S,An exploratory spatial sata analysis(ESDA) toolkit for the analysis of activity/travel dataQ] lecture Notes in Computer Science,2004(3044):1016-1025.
    [161]. Buttimer A. The Dynamism of Lifeworld [J]. Annals of the Association of American Geographers,1976,66:277-292.
    [162]. C. Kaspar. Leisure-Recreation Tourism-An Introduction to the General Topic of the 31st. AIEST Congress[C]. AIEST editions,1981.
    [163]. Chen, R.J.C. Tourist shopping behaviors and the ideal shopping environment. In: The 11th Recent Advances in Retailing and Services Science Conference [C], European Institute of Retailing and Services Studies (EIRASS) Proceedings,2004.
    [164]. Cooper C, Fletcher j, Gilbert D, et al; translated by ZhangLili, Cai Liping. Tourism Principles And Practice(the 2 "Edition) [M]. Beijing:High Education Press,2004.57-58.
    [165]. Couclelis, H. Computation and space [C].25th Anniversary Issue. Environment & Planning B,1998:41-47.
    [166]. Cox K R, Golledge R G. Introduction In [A].Cox K R, Golledge R G (eds.), Behavioural Problems in Geography Revisited [C]. Chicago: Northmerton University Press,1981.
    [167]. Crompton J., Ankomah P. Choice set propositions in destination decisions [J]. Annals of Tourism Research,1993,20:461-476.
    [168]. Crompton J. Structure of vacation destination choice scts[J]. Annals of Tourism Research, 1992,19(3):420-434.
    [169]. Crompton JL. Motivations for pleasure vacations. Ann. Tour. Res.1979,6(4):408-424.
    [170]. D Kahneman, A Tvcrsky, American Psychologist, Vol 39(4), Apr 1984,341-350. doi:10.1037/0003-066X.39.4.341.
    [171]. Dewey J. Logic: the Theory of Inquiry [M]. New York: Holt,1938.
    [172]. Drezner, Z. Facility location a Survey of applications and methods, Springer, Berlin Heidelberg New York,1995.
    [173]. Dubin, J. A. The demand for recreations fishing in montana. In J. A. Dubin (Ed.), Studies in consumer demand-econometric methods applied to market data [M]. Boston: Kluwer Academic Publishers,1998.
    [174]. Epple, D., R. Filimon, T. Romer. Equilibrium among local jurisdictions: toward an integrated treatment of voting and residential choice [J].Joumal of Public Economics,1984,24 281-308.
    [175]. ESRI. ArcGIS 9.2系列产品介绍[M].USA:ESRI,2007.
    [176]. ESRI.Developer Help for ArcGIS V9.2 [M].USA:ESRI,2007.
    [177]. ESRI空间信息平台解决方案[R].北京:中国(北京)有限公司,2005.
    [178]. Eymann, A. Consumers'Spatial Choice Behavior [M]. Heidelberg: Physica-Verlag,1995.
    [179]. Eymann, A.,& Ronning, G. Discrete choice analysis of foreign travel demand. In H. J. Vosgerau (Ed.), European integration in the world economy. Studies in international economics and institutions [Z]. Berlin:Springer,1992.
    [180]. Eymann, A.,& Ronning, G. Microeconometric models of tourists'destination choice [J]. Regional Science and Urban Economics,1997,27:735-761.
    [181]. Fakeye, P., and J. Crompton 1991 image difference between prospective, first-time and repeat visitors to the lower rio grande valley. Journal of Travel Research [J].1991,30(2):10-16.
    [182]. Farsari, Y., Prastacos, P. GIS applications in the planning and management of tourism. In: Lew, Alan A., Michael Hall, C., Williams, Allan M. (Eds.), A Companion to Tourism: Blackwell Companions to Geography [M]. Blackwell Publishing, Oxford,2004,596-607.
    [183]. Finn, A., Louviere, J. Shopping center image, consideration and choice anchor store contribution [J]. Journal of Business Research,1996,35:241-251.
    [184]. Finn, A., Louviere, J. Shopping-center patronage models: fashioning a consideration set segmentation solution [J]. Journal of Business Research,1990,21 (3):259-275.
    [185]. Forsythe R, Palfrey T, and Plott, Charles R. Asset valuations in an experimental market [J].Econometrica,1982,50:537-68.
    [186]. Fotheringham, A. S.,& O'Kelly, M. E. Spatial interaction models: Formulations and applications [M]. Dordrecht (The Netherlands):Kluwer Academic Publishers,1989.
    [187]. Friedman, Daniel, Glenn W. Harrison, and Jon W. Salmon. The Informational Efficiency of Experimental Asset Markets [J]. Journal o f Political Economy, June,1984,349-408
    [188]. Friedman, Daniel, and Sunder Shyam. Experimental Methods: A Primer for Economists Cambridge [D]. UK, and New York: Cambridge Unviersity Press,1994.
    [189]. Friedman, J.W. An Experimental Study of Cooperative Duopoly [J]. Review of Economic Studies,1969,36:399-415.
    [190]. Friedman, L. A competitive bidding strategy[R]. Oper.Res.1956,4,104-112.
    [191]. Gahegan, M. What is GeoComputation? A History and Outline [EB/OL]. www.geocomputation.org,2002.
    [192]. Gartner WC. Image formation process [J]. Journal of Travel and Tourism Marketing,1993, 2(3):199-212.
    [193]. Gentry, C., Burns, A. How important are evaluative criteria in shopping center patronage? [J]. Journal of Retailing,1997.53,73-84.
    [194]. Gimblett, Randy; Daniel, Terry; Meitner, Michael J. An individual-based modeling approach to simulating recreation use in wilderness settings. In: Cole, David N.; McCool, Stephen F.; Borrie, William T.; O'Loughlin, Jennifer, comps.2000. Wilderness science in a time of change conference—Volume 4: Wilderness visitors, experiences, and visitor management; 1999 May 23-27; Missoula, MT. Proceedings RMRS-P-15-VOL-4. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station,2000,99-106
    [195]. Gimblett, H.R., Dumota, B., ftami, R.M. Spatially—Explicit Autonomous Agents for Modeling Recreation Use in Wideness [J]. Complex International Journal,1997.
    [196]. Gimblette, H.R., Durnota, B., Itami, and R.M. Spatially-Explicit Autonomous Agents for Modeling Recreation Use in Wilderness [J]. Complex International Journal,1997.
    [197]. Giuliano, G. New directions for understanding transportation and land use [J]. Environment and Planning,1989, A 21,145-159
    [198]. GLAESER E L, KAHN M E.Sprawl and urban growth [J].NBER Working Paper,2003.
    [199]. Gollege R G. Misconceptions and Misrepresentations of Behavioral Approaches in Human Geography Q]. Environment and Planning A,1981,13:1315-1344.
    [200]. Goodrich J N. The relationship between preferences for and perceptions of vacation destinations: Application of a choice model [J]. Journal of Travel Research,1978,17(2):185-204.
    [201]. Griffin D. The reenchantment of science: Postmodern proposals [M]. Beijing: Central Compilation & Translation Press,1995.
    [202]. Guelke L. An Idealist Alternative in Human Geography Q]. Annals of the Association of American Geographers,1974,64:193-202.
    [203]. Guelke L. Idealism. In: Harvey M E, Holly B P (eds.), Themes in Geographic Thought [M]. London: Croom Helm,1981,133-147.
    [204]. H. L. Goodall, Jr., Living in the Rock n Roll Mystery: Reading Context, Self, and Others as Clues. Carbondale, IL.: Southern Illinois University Press,1991.
    [205]. H.R. Seddighi*, A.L. Theocharous. A model of tourism destination choice: a theoretical and empirical analysis Q].Tourism Management,2002,23:475-487.
    [206]. Haggett P. The Geographer's Art [M]. London: Blackwell,1990.
    [207]. Haggett P. The Geographer's Art [M]. London: Blackwell,1990.
    [208]. Hakimi, S.L. Optimum distribution of switching centers in a communication network and some related graph theoretic problems [J]. Operations Research,1965,13:426-475.
    [209]. Hakimi, S.L. Optimum locations of switching centers and the absolute centers and medians of a graph [J]. Operations Research,1964,12:450-459.
    [210]. Hanson S. Geography and feminism: Worlds in collision? [J].Annals of the Association of American Geographers,1992,82:569-586.
    [211]. Harvey D W.Explanation in Geography [M].London: Edward Arnold,1969.
    [212]. Harvey D. Marxist geography. In:Johnston R J (ed.), the Dictionary of Human Geography [M]. Oxford: Basil. Blackwell,1982.209-212.
    [213]. Hauser J, Wemerfeh B. An evaluation cost model of consideration sets[J]. Journal of Consumer Research,1990,16 (4):393-408.
    [214]. Hensher, D.A., Greene, W.H. The mixed logit model: the state of practice [R]. Transportation,2003,30:133-176.
    [215]. Hoggatt, A.C. An experimental business game Q]. Behavioral Science,1959,4:192-203.
    [216]. Holland, J. Hiddenouler: How Adaptation Builds Complexity. Addsion-Wesley,1995.
    [217]. Howard, John A. and J.N. Sheth. The theory of buyer behavior [M]. New York: John Wiley and Sons.1969.
    [218]. Hunt J D. Image as a factor in tourism development.1975, cited in W C Gartner, JD Hunt(1987). An Analysis of State Image Change over a Twelve. Year Period(1971-1983)[J]. Journal of Travel Research 13(3):15-19
    [219]. Isaac, R. Mark. "Fuel Cost Adjustment Mechanisms and the Regulated Utility Facing Uncertain Fuel Prices [J]. Bell Journal of Economics,1982,13:158-170.
    [220]. Isabel Pilar Albaladejo-Pina, Mari a Teresa Diaz-Delfa. Tourist preferences for rural house stays: Evidence from discrete choice modelling in Spain [J]. Tourism Management,2009, 30:805-811.
    [221]. Itami, R.M., Gimblett, H.R. Intelligent recreation agents in a virtual GIS world. Complex Intenational Journal.8 [EB/OL].http://www.csu.edu.au/ci/vol08/itami01/,2001.
    [222]. Itami, R.M., Gimblett, H.R. Intelligent recreation agents in a virtual GIS world. Complex International Journal.8. [EB/OL], http://www.csu.edu.au/ci/vol08/itami01/.2001.
    [223]. Jackson, E. L.,& Searle, M.S. Recreation non participation and barriers to participation: Concepts and models. Society and Leisure [J].1985,8:693-707.
    [224]. Jennings, N.R. On agent-based engineering [J]. Artificial Intelligence,2000,117:277-296
    [225]. JIANG Bin. Agent-based approach to modeling environmental and urban system within GIS[C]//Proceedings of 9th International Symposium on Spatial Data Handling. Beijing,2000: 10-12.
    [226]. Juan L. Nicolau, Francisco J. Mas. Stochastic modeling A three-stage tourist choice process, Annals of Tourism Research,2005,32(1):49-69.
    [227]. Juckle J.A., Brunn S. and Roseman C.C. Human Spatial Behavior: a social geography [M], Duxbury Press,1976, p.315-316.
    [228]. Kahneman, D.,& Tversky, A. Choices, values and frames [J]. American Psychologist,1984, 341-350.
    [229]. Kahneman, Daniel; Tversky, Prospect theory: an analysis of decision under risk, March 1979,47(2):263-292. doi:10.1037/0003-066X.39.4.341.
    [230]. Keown, C., L. Jacobs, and R. Worthley. American tourists' perceptions of retail stores in 12 selected countries [J]. Journal of Travel Research,1984,22 (winter):26-30.
    [231]. Kim, C. Commuting time stability: a test of a co-location hypothesis. Transportation Research Part A,2008,42:524-544.
    [232]. Kim, J.H., Pagliara, F., Preston, J. The intention to move and residential location choice behaviour [J]. Urban Studies,2005,42 (9):1621-1636.
    [233]. Koppelman, F. S. and C. Bhat.A Self-Instructing Course in Mode Choice Modeling. Multinomial and Nested Logit Models [R]. Prepared for U. S. Department of Transportation, Federal Transit Administration,2006
    [234]. Krugman P. A dynamic spatial model [M].NBER Working Paper W4219,1992.
    [235]. Lancaster K.J. Consumer Demand: A New Approach [M]. New York: Columbia University Press,1971.
    [236]. Lawler, K.,& Seddighi, H. R. Economic theory and modeling—an integrated approach (2nd ed) [M]. Droitwich: Peter Andrew Publishing,1987.
    [237]. Leiper N. Tourism Management [M]. Collingwood, VIC: TAFE Publications,1995.
    [238]. Ley D. Modernism, Postmodernism and the Struggle for Place. In Agnew, J. and Duncan, J., Eds, the Power of place [M]. London: Unwin Hyman,1989,44-65.
    [239]. Lingling Wu, Junyi Zhang, Akimasa Fujiwara. Representing tourists heterogeneous choices of destination and travel party with an integrated latent class and nested logit model [J].Tourism Management,2011,3:1407-1413.
    [240]. Littrell, M., Baizerman, S., Kean, R., Gahring, S. Souvenirs and tourism styles Q]. Journal of Travel Research,1994,33 (1):3-5.
    [241]. Louviere JJ, etal. Stated preference and choice models applied to recreation research: a review [J]. Leisure Sciences,1990,12:9-32.
    [242]. Lyotard. Postmodern Condition [M]. Manchester University Press,1992.
    [243]. Maes, P. Agents that reduce work and information overload Q]. Communications of the ACM37(7),1994,31-40.
    [244]. Maier,J.et al. Sozialgeographie, Westermann, Braunschweig,90-100S,1977.
    [245]. Matthews, R.B., Gilberi, N.G, ROaeh, A., et al. Agent-based land-use models: a review application [J]. Landscape Ecology,2007,22:1447-1459.
    [246]. May T. Social Research: Issues, Methods and Process [M]. Buckingham: Open University Press,1993.
    [247]. Mayo E J. Regional images and regional travel behavior [A]. In:The fourth annual conference proceedings of the Travel Research Association Research for Changing Travel Patterns:Interpretation and Utilization [C]. August 12-15,1973,211-218.
    [248]. McDowell L. Space, Place and Gender Relations: Part I. Feminist Empiricism and the Geography of Social Relations [J]. Progress in Human Geography,1993a,17:157-179.
    [249]. McDowell L.Space, Place and Gender Relations: Part II. Identity, Difference, Feminist Geometries and Feminist Geography Q]. Progress in Human Geography,1993b,17:305-318.
    [250]. Mcfadden D. Modelling the choice of residential location in spatial interaction theory and planning models Q]. Amsterdam: North-Holland,1978:75-96.
    [251]. McFadden, D., Train, K. Mixed MNL Models for discrete response. Journal of Applied Econometrics,2000,15,447-470.
    [252]. McGraw-Hill.Vickery, William. Counterspeculation, Auctions, and Competitive Sealed Tenders [J]. Journal of Finance,1961,16:8-37.
    [253]. MF Goodchild. J. Geographical Information System,1992,6(1):31-45.
    [254]. MIESZKOWSKI P, MILLS E S. The causes of suburbanization [J].Journal of Economic Perspectives,1993,7(3):135-147.
    [255]. Miller, Jon R., and Michael J. Hay. Determinants of hunter participation: duck hunting in the Mississippi flyway [J]. Am. J. Agr. Econ.,1981,63:677-684.
    [256]. MILLS E S, LUBUELE L S. Inner cities Q] Journal of Economic Literature,1997, 35:727-756.
    [257]. Molin, E., Timmermans, H. Accessibility considerations in residential choice decisions: accumulated evidence from the Benelux[C]. TRB 2003 Annual Meeting CD-ROM, Washington, DC,2003.
    [258]. Morey, E. R., Shaw, W. D.,& Rowe, R. D. A discrete choice model of recreational participation site choice, and activity valuation when complete trip data are not available [J]. Journal of Environmental Economics and Management,1991,20:181-201.
    [259]. Morley, C. A microeconomic theory of international tourism demand [J]. Annals of Tourism Research,1992,19:250-267.
    [260]. Morley, C. A Microeconomic Theory of International Tourism Demand Q]. Annals of Tourism Research,1992,19:250-267.
    [261]. Morley, C. L. Discrete choice analysis of the impact of tourism prices [J]. Journal of Travel Research (fall),1994b,8-14.
    [262]. Morley, C. L. Experimental destination choice analysis [J]. Annals of Tourism Research, 1994a,21 (4):780-791.
    [263]. Morley, C. L. The use of CPI for tourism prices in demand modeling [J]. Tourism Management,1994c,15(5):342-346.
    [264]. Morley, C. Tourism Demand: Characteristics, Segmentation and Aggregation Q]. Tourism Economics,1995,1:315-328.
    [265]. Morrison, A. M. Hospitality and travel marketing [M]. New York: Delmar Publishers,1996.
    [266]. Moutinho L. Consumer behavior in tourism Q]. European Journal of Marketing,1987, 21(10):1-44.
    [267]. Nicolau, J. L., and Mas, F. J. The influence of distance and prices on the choice of tourist destinations: The moderating role of motivations [J].Tourism Management,2006,27:982-996.
    [268]. Openshaw, S., Abrahart, R. GeoComputation [M]. London: Taylor and Francis,2000.
    [269]. Palfrey, T.R., Prisbrey, J.E. Altruism, reputation and noise in linear public goods experiments [J]. Journal of Public Economics,1996,61:409-427.
    [270]. Palfrey, T.R., Prisbrey, J.E. Anomalous behavior in public goods experiments: How much and why? [J].American Economic Review,1997,87:829-846.
    [271]. Papatheodorou, A. Why people travel to different places [J]. Annals of Tourism Research, 2001,28,164-179.
    [272]. Parker et al. D.C Parker, S.M Manson, M.A Janssen, M Hoffman, P Deadman Multi-agentsystems for the simulation of land-use and land-cover change: a review [J].Annals of the Association of American Geographers,2003,93 (2):314-337.
    [273]. Perdue, R. R. Traders and non-traders in recreational destination choice [J]. Journal of Leisure Research,1986,18(1),12-25.
    [274]. Petersen, M.A, Raughuram, G, Rajan. Does Distance Still Matter? The Information Revolution in Small Business Lending[R]. NBER Working Paper W7685.2000
    [275]. Pizam A, Mansfeld Y; translated by Shu Boyang, Feng Wei. Consumer Behavior in Travel and Tourism [M]. Dalian:Dongbei University of Finance & Economics Press.2005.10-11;13-15; 57-67.
    [276]. Plott, C. R., Smith, V. L. Handbook of Experimental Economocs Results, Volume 1, North-Holland, Amsterdam, New York,2008.
    [277]. Plott, Charles R., and Sunder Shyam. Efficiency of Experiment Security Markets with Insider Information: An Application of Rational- Expectations Models [J]. Journal of Political Economy,1982,90:663-698
    [278]. Prashker, J., Shiftan, Y., Hershkovitch-Sarusi, P. Residential choice location, gender and the commute trip to work in Tel Aviv. Journal of Transport Geography,2008,16(5),332-341.
    [279], Prentice P. Andersen V. Evoking Ireland: Modeling tourist propensity. Annals of Tourism Research,2000,27(2):491.
    [280]. Quigley, J.M. Housing demand in the short run: analysis of polytomous choice [J]. Econometric Society, New York,1973.
    [281]. Quigley, J.M. Housing demand in the short run: analysis of polytomous choice [J].Exploration in Economic Research,1976(3):76-102
    [282], Rachel J.C. Chen.Geographic information systems (GIS) applications in retail tourism and teaching curriculum [J]. Journal of Retailing and Consumer Services,2007,14:289-295
    [283]. Relph E C. Place and Placelessness [M]. London:Pion,1976.
    [284]. Riera, A. Modelos de eleccio'n discreta and coste del viaje. Los espacios naturales protegidos en Mallorca [J]. Revista de Economi'a Aplicada,2000,8(24):181-201.
    [285]. Roberts, C.A., Stallman, D., Bieri, J.A. Modeling complex human-environment interactions: the Grand Canyon river trip simulator. Ecological Modeling,2002,153:181-193.
    [286]. Roberts, John H. and James M. Lattin. Development and testing of a model of consideration set composition Q]. Journal of Marketing Research,1991,28 (November), 429-440.
    [287]. Rosenau P M. Postmodernism and the Social Sciences: Insights, Inroads and Intrusions [M]. Chichester: University Press,1992.
    [288]. Rouwendal, J., Meijer, E. Preferences for housing, jobs, and commuting: a mixed logit analysis [J]. Journal of Regional Science,2001,41 (3):475-505.
    [289]. Rouwendal, J., Rietveld, P. Changes in commuting distances of Dutch households. Urban Studies,1994,31 (9):1545-1557.
    [290]. Rugg D. The choice of journey destination: a theoretical and empirical analysis [J]. Review of Economics and Statistics,1973,55:64-72.
    [291]. Rugg, D. The choice of journey destination: A theoretical and empirical analysis [J]. Review of Economics and Statistics,1973,55(1):64-72.
    [292]. Samuels M S. An Existential Geography. In: Harvey M E, Holly B P (eds.), Themes in Geographic Thought [M]. London: Croom Helm,1981.115-133.
    [293]. Sauermann, H., Selten, R. An experiment in oligopoly (translation of Sauermann and Selten (1959)) [J]. General Systems,1960,5:85-114.
    [294]. Sauermann, H., Selten, R. Einoligopol experiment. Zeitschrift fur die gesamte Staatswis-senschaft,1959,115:427-471.
    [295]. Saver A. Method in Social Science: A Realist Approach [M].London: Rout ledge,1992.
    [296]. Sayer A. Realism and geography. In: Johnston R J (ed.), the Future of Geography [M]. London: Methuen,1985.
    [297]. Schelling, T. C. Bargaining, communication, and limited war Q]. Journal of Conflict Resolution,1957,1,19-36.
    [298]. Schroeder, H. W.,& Louviere, J. Stated choice models for predicting the impact of user fees at public recreation sites [J]. Journal of Leisure Research,1999,31(3):300-324.
    [299]. Seddighi, H. R.,& Theocharous, A. L. A model of tourism destination choice: A theoretical and empirical analysis Q]. Tourism Management,2002.
    [300]. Seddighi, II., and A. Theocharous. A model of toursim destination choice: a theoretical an empirical analysis [J]. Tourism Management,2000,23:475-487.
    [301]. Semboloni, E,2000.The growth of an urban cluster into a dynamic self-modifying spatial Pattern. Environment and Planning B:Planning and Design,2000,27(4):549-564.
    [302]. Shearing, D.F. Demand for tourism in North East England with special reference to Northumbria: An empirical analysis [D]. MPhil Thesis, University of Sunderland Business School,1997.
    [303]. Siderelis, Ch.,& Moore, R. L. Recreation demand and the influence of site preference variables [J]. Journal of Leisure Research,1998,30(3):301-318.
    [304]. Siegel, S.,& Fouraker, L. E. Bargaining and group decision making [M]. New York: McGraw-Hill,1960
    [305]. Siegel, Sidney, and L. Fouraker. Bargaining and Group Decision Making. New York: 1960
    [306]. Sirakaya E, etal. Do destination images really matter? Predicting destination choices of student travelers [J]. Journal of Vacation Marketing,2000,7(2):125-141.
    [307]. Smith Vernon L., Suchanek, G, and Williams, A. Bubbles, crashes, and endogenous expectations in experimental spot asset markets [J]. Econometrica,1988,56:1119-1151
    [308]. Smith, V. L. An experimental study of competitive market behavior [J]. Journal of Political Economy,1962,70,111-137.
    [309]. Smith, Vernon L. Experimental Economics: Induced Value Theory Q]. American Economic Review, Papers and Proceedings,1976, (66):274-279.
    [310]. So, K.S., Orazem, P.F., Otto, D.M. The Effects of Housing Prices, Wages, and Commuting Time on Joint Residential and Job Location Choices [J]. American Journal Agricultural Economy, 2001,83(4):1036-1048.
    [311]. Swarbrooke J. The Development and Management of Visitor Attractions [M]. Oxford: Butterworth-Heinemann,2000.
    [312]. Taede Tillema, Bert van Wee, Dick Ettemac. The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach Q]. Transportation Research Part A.2010,44:785-796
    [313]. Taylor, Ch. E., and Knudson, D. M. Area preferences of Midwestern campers [J]. Journal of Leisure Research,1976,12(spring):39-48.
    [314]. Thornton P. Tourism behaviour on holiday: A time-space approach [D]. PhD. Thesis, Department of Geography, University of Exeter, UK.1995.
    [315]. Thurstone, L. L. Multiple factor analysis [J]. Psychological Review,1931,38,406-427.
    [316]. Torrells, P.M., Benenson, I. Geographic automata systems [J]. International Journal of GeograPhiealInformationSeience,2005,19(4),385-412
    [317]. Train, K. E. Recreation demand models with taste differences over people [J]. Land Economics,1998,74,2.
    [318]. Train, K.E. Mixed logit. In: Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge,2003.
    [319]. Tuan Yi-Fu. Geography, Phenomenology, and the Study of Human Nature [J]. Canadian Geographer,1971,15:181-192.
    [320]. Tuan Yi-Fu. Topophilia [M]. Englewood Cliffs, NJ:Prentice-Hall,1974.
    [321]. Tzu-Kuang Hsu, Yi-Fan Tsai, Herg-Huey Wu, The preference analysis for tourist choice of destination: A case study of Taiwan Q]. Tourism Management,2009,30:288-297.
    [322]. Um S, Lcrompton J. Attitude determinants in tourism destination choice [J], Annals of Tourism Research,1990,17:432-448.
    [323], Urn S., Crompton J L. Development of pleasure travel attitude dimensions [J]. Annals of tourism research,1991,18(3):374-378.
    [324]. Van Ommeren, J., Fosgerau, M. Workers marginal costs of commuting [J]. Journal of Urban Economics,2009,65:38-47.
    [325]. Van Ommeren, J., Rietveld, P., Nijkamp, P. Commuting: in search of jobs and residences [J]. Journal of Urban Economics,1997,42:402-421.
    [326]. Van Ommeren, J., Rietveld, P., Nijkamp, P. Job moving, residential moving, and commuting: a search perspective [J]. Journal of Urban Economics,1999,46,230-253.
    [327]. Von Thunen, Warterberg C. M. Von Thunen s Isolated States[M]. Pergamon: Pergamon Press, Ltd.,1960.
    [328]. Walsh, R.G., John, K.H., McKean, J.R.,& Hof, J.G. Effect of Price on Forecasts of Participation in Fish and Wildlife Recreation: An Aggregate Demand Model [J]. Journal of Leisure Research,1992,24,2:140-156.
    [329]. Weisbrod, G.E., Lerman, S.R., Ben-Akiva, M. Tradeoffs in residential location decisions: transportation versus other factors [J]. Transportation Policy and Decision Making,1980,1: 13-26.
    [330]. Wennergren, E.B.,& Nielsen, D.B. A Probabilistic approach to estimating demand for outdoor recreation[R]. Working paper. Utah State University,1968.
    [331]. WHITE R, ENGELEN G. Cellular automata and fractal urban form: A cellular modeling approach to the evolution of urban land-use patterns [J]. Environment and Planning A,1993,25: 1175-1199.
    [332]. WHITE R, ENGELEN G.Cellular automata as the basis of integrated dynamic regional modeling [J]. Environment and Planning B:Planning and Design,1997,24:235-246.
    [333]. William Vickrey. Counter speculation, Auctions, and Competitive Sealed Tenders [J]. Journal OfFinance,1961,16(1):8-37.
    [334]. Wolfe, R. I. Communication Q]. Journal of Leisure Research,1970,2(1),85-87.
    [335]. Wolfe, R. I. The inertia model Q]. Journal of Leisure Research,1972,4:73-76.
    [336]. Woodside, A.G., Sherrell, D. Traveler Evoked, Inept, and Sets of Vacation Destinations [J]. Journal of Travel Research,1977,16(1):14-18
    [337]. Woodside, A.G., and Lysonski, S. A General model of traveler destination choice [J]. Journal of Travel Rcsearch,1989,27(4):8-14.
    [338]. Wooldridge, M., Jennings, N.R. Ingelligent agents: theory and practice Q].Knowledge Engineering Review,2005,10(2):115-112