基于社交大数据的地理距离对旅游者行为的影响研究

doi:10.3969/j.issn.1004-9479.2024.03.2021956

摘要/Abstract

摘要：

在大数据背景之下，基于黄山市旅游者微博签到数据，定量分析地理距离对旅游者行为的影响。研究发现：（1）在空间分布上，本地旅游者倾向于在城镇中心集聚，短途旅游者分布较为均衡，长途旅游者呈现出向高等级旅游景区集聚的特征。（2）在景点选择上，黄山风景区和宏村景区的旅游吸引力随地理距离的增加而逐渐增强，徽州古城的旅游吸引力则随地理距离的增加而逐渐减弱；不同地理距离的旅游者在黄山市景点等级的选择上有所不同。（3）地理距离会影响旅游者在酒店及餐厅的消费行为。在餐厅类型选择上，随着地理距离增加，旅游者对黄山本地美食餐厅的偏好愈加明显；在消费支出上，长途旅游者酒店和餐厅的消费支出均为最多。（4）对比分析发现，不同地理距离旅游者的旅游动机有所差异：本地旅游者以放松休闲为主，短途旅游者则是观光与休闲结合，长途旅游者以观光体验为主。

关键词: 地理距离, 旅游者行为, 微博签到数据, 黄山市

Abstract:

In the context of big data, based on the Weibo check-in data of tourists in Huangshan City, the influence of geographical distance on tourists' behavior was quantitatively analyzed. The research finds that:(1) On a spatial distribution, local tourists form a tendency to gather in central towns. The distribution of short-distance tourists is balanced. Long-distance tourists show the characteristics of gathering in high-level tourist attractions; (2) In the selection of scenic spots, with the increase of distance, the tourism attraction of Huangshan Scenic Area and Hongcun Scenic Area is gradually strengthened, while the tourism attraction of Huizhou Ancient City is gradually weakened. In the terms of the level of scenic spots in Huangshan City, tourists from different distance have different choices; (3) Geographical distance affects tourists' choice of hotel and restaurant types and consumption behavior. The increase of geographical distance has made tourists more inclined to restaurants which have Huangshan local specialties.In terms of consumption expenditure, long-distance tourists spend the most on hotels and restaurants; (4) The comparative analysis shows that tourists who are from different geographical distances have different tourism motives. Local tourists mainly focus on relaxation and leisure. The motivation for short-distance tourists includes sightseeing and leisure. Long-distance tourists mainly care about sightseeing experience.

Key words: geographic distance, tourist behavior, Weibo check-in data, Huangshan City

李倩, 蔡小倩, 李天宇, 李冬花, 蒋伟峰, 陆林. 基于社交大数据的地理距离对旅游者行为的影响研究[J]. 世界地理研究, 2024, 33(3): 175-186.

Qian LI, Xiaoqian CAI, Tianyu LI, Donghua LI, Weifeng JIANG, Lin LU. Research on the impact of geographical distance on tourists' behavior based on social big data:[J]. World Regional Studies, 2024, 33(3): 175-186.

图/表 8

参考文献 39

1	李博, 秦欢, 余建辉, 等. 中国省域旅游资源竞争力评价及其格局演变. 经济地理, 2019, 39(9): 232-240.
	LI B, QIN H, YU J, et al. Evaluation and pattern evolution of provincial tourism resources competitiveness in China. Economic Geography, 2019, 39(9): 232-240.
2	梁嘉祺, 姜珊, 陶犁. 旅游者时空行为模式与难忘旅游体验关系研究. 旅游学刊, 2021, 36(10): 98-112.
	LIANG J, JIANG S, TAO L. Research on the relationship between spatial-temporal behavior patterns and memorable tourism experiences. Tourism Tribune, 2021, 36(10): 98-112.
3	WEAVER D B. Overnight ecotourist market segmentation in the Gold Coast hinterland of Australia. Journal of Travel Research, 2002, 40(3): 270-280.
4	罗明义. 旅游经济分析——理论·方法·案例. 昆明:云南大学出版社, 2001.
	LUO M. Tourism Economic Nnalysis--Theory·Method·Case. Kunming: Yunnan University Press, 2001.
5	王华, 马志新. 川藏线骑行者旅游动机与主观幸福感关系研究——旅游满意度的中介作用. 旅游科学, 2020, 34(6): 53-65.
	WANG H, MA Z. A study on tourist motivation of cycling tourism on the Sichuan-Tibet Line and its impact on the cyclers' happiness: The mediating effect of tourist satisfaction. Tourism Science, 2020, 34(6): 53-65.
6	陆林. 山岳旅游地旅游者动机行为研究:黄山旅游者实证分析.人文地理, 1997, 12(1):10-14.
	LU L. A study on motivations of tourists in mountain resorts -- A case study of tourists in Huangshan mountain. Human Geography, 1997, 12(1): 10-14.
7	孙艳, 李咪咪, 李少华, 等.千禧一代出境游目的地决策过程叙事研究——良机驱动的发现及其理论意义. 旅游学刊, 2021, 36(7): 92-103.
	SUN Y, LI M, LI S, et al. A narrative analysis of destination decision making process of millennium outbound tourists: The role of opportunity-driven decision making. Tourism Tribune, 2021, 36(7): 92-103.
8	华成钢, 白长虹, 韦鸣秋. 移动互联时代旅游信息服务体验对出游决策的影响研究.旅游学刊, 2019, 34(11): 51-65.
	HUA C, BAI C, WEI M. The impact of mobile tourism information service experience on travel decision quality. Tourism Tribune, 2019, 34(11): 51-65.
9	余凤龙, 黄震方, 侯兵. 苏南地区农村居民旅游消费行为的影响路径研究. 旅游学刊, 2018, 33(8): 68-82.
	YU F, HUANG Z, HOU B. Influencing paths of rural residents' tourism consumption behavior in southern Jiangsu area under the background of rural transformation. Tourism Tribune, 2018, 33(8): 68-82.
10	王朝辉, 陆林, 夏巧云, 等. 重大事件游客消费行为及偏好的中外比较研究——以2010上海世博会为例. 地理研究, 2012, 31(2): 279-289.
	WANG C, LU L, XIA Q, et al. A comparative study on foreign and domestic tourists' consumption behavior and preferences in mega-events: A case study of 2010 Shanghai World Expo. Geographical Research, 2012, 31(2): 279-289.
11	查晓莉, 徐雨晨, 陆林, 等. 上海迪士尼国内旅游流地理分布与流动特征. 旅游学刊, 2019, 34(6): 58-73.
	ZHA X, XU Y, LU L, et al. Geographical distribution and flows of Chinese tourists to Shanghai Disneyland. Tourism Tribune, 2019, 34(6): 58-73.
12	陆林, 汤云云. 珠江三角洲都市圈国内旅游者空间行为模式研究. 地理科学, 2014, 34(1): 10-18.
	LU L, TANG Y. Spatial behavior patterns of domestic tourists of the Zhujiang River Delta Metropolitan Area. Scientia Geographica Sinica, 2014, 34(1): 10-18.
13	汪丽, 孙海文, 温嘉琪, 等. 西安市游客公共交通出行满意度的影响因素与路径组合. 经济地理, 2021, 41(7): 231-239.
	WANG L, SUN H, WEN J, et al. Influencing factors and path integration of tourists' public transport satisfaction in Xi'an. Economic Geography, 2021, 41(7): 231-239.
14	马天. 旅游体验质量与满意度:内涵、关系与测量. 旅游学刊, 2019, 34(11): 29-40.
	MA T. Tourist experience quality and satisfaction: Connotation, relationship and measurement. Tourism Tribune, 2019, 34(11): 29-40.
15	王波, 甄峰. 网络社区交流中距离的作用——以新浪微博为例. 地理科学进展, 2016, 35(8):983-989.
	WANG B, ZHEN F. The role of distance in online social networks: A case study of Sina micro-blog. Advances in Geographical Sciences, 2016, 35(8): 983-989.
16	曹晶晶, 章锦河, 周珺, 等. "远方"有多远?——感知距离对旅游目的地选择行为影响的研究进展. 旅游学刊, 2018, 33(7): 103-118.
	CAO J, ZHANG J, ZHOU J, et al. How far is "far"? Progress and implications in tourism and cognitive distance research. Tourism Tribune, 2018, 33(7): 103-118.
17	ROGERS A, CASTREE N, KITCHIN R. A Dictionary of Human Geography. London: Oxford University Press, 2013.
18	ANDERSON D H, WILHELM STANIS S A, SCHNEIDER I, et al. Proximate and distant visitors: Differences in importance ratings of beneficial experiences. Journal of Park and Recreation Administration, 2008, 26(4): 1304-1304.
19	王丽, 王诚庆, 孙梦阳. 文化距离对北京入境游客时空行为的影响研究. 人文地理, 2018, 33(4): 137-145.
	WANG L, WANG C, SUN M. The effects of cultural distance on spatio-temporal behavior of Beijing international visitors. Human Geography, 2018, 33(4): 137-145.
20	张宏磊, 张捷, 史春云, 等. 感知距离与游客满意度影响关系研究. 人文地理, 2011, 26(5): 117-120.
	ZHANG H, ZHANG J, SHI C, et al. An analysis of the interaction between tourists' cognitive distance and their satisfaction. Human Geography, 2011, 26(5): 117-120.
21	JACKMAN M, LORDE T, NAITRAM S, et al. Distance matters: The impact of physical and relative distance on pleasure tourists' length of stay in Barbados. Annals of Tourism Research, 2020, 80(1): 1-11.
22	张子昂, 保继刚. 多重距离对中国入境与出境旅游流的影响: 基于组态的视角. 地理科学, 2021, 41(1): 13-21.
	ZHANG Z, BAO J. Effects of multiple distances on inbound and outbound tourism flows in China: A configuration-based perspective. Scientia Geographica Sinica, 2021, 41(1): 13-21.
23	MCKERCHER B. The impact of distance on tourism: A tourism geography law.Tourism Geographies,2018,20(5):905-909.
24	谷晓萍, 李岩泉, 牛丽君, 等. 本溪关门山国家森林公园游客行为特征. 生态学报, 2015, 35(1): 204-211.
	GU X, LI Y, NIU L, et al. A survey of tourist behavior in mount Guanmen National Forest Park, Benxi City. Acta Ecologica Sinica, 2015, 35(1): 204-211.
25	李陇堂, 王艳茹, 王继霞, 等. 沙漠型景区客源市场结构与游客行为特征——以宁夏沙坡头为例. 中国沙漠, 2017, 37(3): 587-593.
	LI L, WANG Y, WANG J, et al. Tourist market structure and tourist behavior of the desert scenic areas. China Desert, 2017, 37(3): 587-593.
26	MCKERCHER B. Segment transformation in urban tourism. Tourism Management, 2008, 29(6): 1215-1225.
27	HWANG Y H, GRETZELl U, FESENMAIER D R. Multicity trip patterns: Tourists to the United States. Annals of Tourism Research, 2006, 33(4): 1057-1078.
28	陈晓艳,张子昂,胡小海,等.微博签到大数据中旅游景区客流波动特征分析:以南京市钟山风景名胜区为例.经济地理,2018,38(9):206-214.
	CHEN X, ZHANG Z, HU X,et al.Characteristics of tourists flow in scenic spots based on Weibo check-in big data:A case study of Zhongshan Scenic Spot in Nanjing City.Economic Geography,2018,38(9): 206-214.
29	许珺, 徐阳, 胡蕾, 等. 基于位置大数据的青藏高原人类活动时空模式. 地理学报,2020, 75(7): 1406-1417.
	XU J, XU Y, HU L, et al. Discovering spatio-temporal patterns of human activity on the Qinghai-Tibet Plateau based on crowdsourcing positioning data. Acta Geographica Sinica, 2020, 75(7): 1406-1417.
30	裴韬, 刘亚溪, 郭思慧, 等. 地理大数据挖掘的本质. 地理学报, 2019, 74(3): 586-598.
	PEI T, LIU Y, GUO S, et al. Principle of big geodata mining. Acta Geographica Sinica, 2019, 74(3): 586-598.
31	隋正伟, 邬伦, 刘瑜. 基于签到数据的城市间交互网络研究. 地理与地理信息科学, 2013, 29(6): 1-6.
	SUI Z, WU L, LIU Y. Study on interactive network among Chinese cities based on the check-in dataset. Geography and Geo-Information Science, 2013, 29(6): 1-6.
32	闫闪闪, 梁留科, 索志辉, 等. 基于大数据的洛阳市旅游流时空分布特征. 经济地理, 2017, 37(8): 216-224.
	YAN S, LIANG L, SUO Z, et al. Big data based spatiotemporal distribution characters of tourism flow in Luoyang. Economic Geography, 2017, 37(8): 216-224.
33	马斌斌, 陈兴鹏, 陈芳婷. 基于社交大数据的敦煌旅游流多尺度时空分异特征. 经济地理, 2021, 41(3): 202-212.
	MA B, CHEN X, CHEN F. Multi-scale temporal and spatial differentiation characteristics of Dunhuang tourism flow based on social big data. Economic Geography, 2021, 41(3): 202-212.
34	李君轶, 朱函杰, 付利利. 基于大数据的西安市国内游客情感体验时空变化研究.干旱区地理, 2020, 43(4): 1067-1076.
	LI J, ZHU H, FU L. Spatial-temporal variation of emotional experience of domestic tourists in Xi'an City based on bigdata. Arid Land Geography, 2020, 43(4): 1067-1076.
35	甄峰, 王波. "大数据"热潮下人文地理学研究的再思考. 地理研究, 2015, 34(5): 803-811.
	ZHEN F, WANG B. Rethinking human geography in the age of big data. Geographical Research, 2015, 34(5): 803-811.
36	刘佳, 吴晋峰, 吴宝清, 等. 中国人距离远近的感知标准及群体差异. 人文地理, 2015, 30(6): 34-39.
	LIU J, WU J, WU B, et al. Cognitive distance standard and group differences of Chinese. Human Geography, 2015, 30(6): 34-39.
37	张海洲, 陆林, 张大鹏, 等. 环莫干山民宿的时空分布特征与成因. 地理研究, 2019, 38(11): 2695-2715.
	ZHANG H, LU L, ZHANG D, et al. Spatial pattern and contributing factors of homestay inns in the area around Mogan Mountain. Geographical Research, 2019, 38(11): 2695-2715.
38	贺亚楠,任以胜,李磊,等.特殊时段黄山市旅游流网络结构分析:以2018年"十一"黄金周为例.资源开发与市场, 2020,36(4): 411-416.
	HE Y, REN Y, LI L, et al. Analysis on tourist flow network structure during special-term in Huangshan City-- A case study of "National Day" Golden Week in 2018. Resource Development & Market, 2020, 36(4): 411-416.
39	周文丽, 李世平. 基于凯恩斯消费理论的旅游消费与收入关系实证研究. 旅游学刊, 2010, 25(5): 33-38.
	ZHOU W, LI S. An empirical study on the relationship between tourism consumption and income based on Keynes' Consumptive Function Theory. Tourism Tribune, 2010, 25(5): 33-38.

用户ID	经度	纬度	时间	注册地	POI名称
XXX	118.170 872	30.059 674	2019.10.09	四川成都	宏村景区
XXX	117.352 762	24.114 808	2019.08.23	安徽安庆	玉屏景区
XXX	118.005 905	30.361 296	2019.08.18	北京	太平湖景区
XXX	118.245 871	29.908 742	2019.11.02	上海	黄山德懋堂度假村
XXX	118.165 680	30.140 173	2019.12.31	广东深圳	黄山西海饭店

用户ID	经度	纬度	时间	注册地	POI名称
XXX	118.170 872	30.059 674	2019.10.09	四川成都	宏村景区
XXX	117.352 762	24.114 808	2019.08.23	安徽安庆	玉屏景区
XXX	118.005 905	30.361 296	2019.08.18	北京	太平湖景区
XXX	118.245 871	29.908 742	2019.11.02	上海	黄山德懋堂度假村
XXX	118.165 680	30.140 173	2019.12.31	广东深圳	黄山西海饭店

组别	微博签到数量/条	比重/%
本地旅游者	18 997	26
短途旅游者	8 038	11
长途旅游者	46 032	63

组别	微博签到数量/条	比重/%
本地旅游者	18 997	26
短途旅游者	8 038	11
长途旅游者	46 032	63

支出	比较组	平均值	标准差	95%置信区间
支出	比较组	平均值	标准差	下限	上限
酒店	本地	337.90	11.264	315.78	360.01
	短途	662.13	36.072	591.02	733.25
	长途	675.70	10.921	654.28	697.11
餐厅	本地	62.57	2.545	57.56	67.59
	短途	76.46	6.513	63.39	89.54
	长途	121.20	2.909	115.48	126.91