Behavior Characteristics of Tourists and Detailed Classification of Tourist Source Market in Liuxihe National Forest Park

On the basis of questionnaires and field investigation,behavior characteristics of tourists in Liuxihe National Forest Park were analyzed,and the results showed that tourists in the study area mainly come from the Pearl River Delta for sightseeing,mostly 21-45 years old,with higher revisit rate but less residence time.And meanwhile,key tourist source markets of Liuxihe National Forest Park were classified on the basis of spatial distance features,social and economic features,and behavior characteristics of tourists,specifically,The Pearl River Delta Sightseeing Tourist Market,The Pearl River Delta Vacationing Tourist Market,The Pearl River Delta Business Tourist Market,and The Pearl River Delta Special-interest Tourist Market.Moreover,corresponding development strategies were proposed according to actual conditions of each market.

The Temporal and Spatial Evolution Characteristics Analysis of Jiangsu Tourism Economy

[Objective] The paper aimed to reflect the spatial pattern and temporal and spatial evolution characteristics, the differences between inter-regional tourism economy was measured from the quality aspect, which provided a reference for the local governments in the future tourism development. [Method] Using the location entropy methods, three time periods side of tourism-related date of 2000, 2005, 2007 were selected, from the angle of the spatial pattern and the evolution of the differences within the different scales, the spatial and temporal evolution characteristics of the economic development level of Jiangsu were analysed. [Result] The results showed that from the aspect of spatial evolution pattern, as time goes on, the economic development of Jiangsu tourism has experienced morphological evolution of concentration- dispersion decrease-stability; when it comes to the development of the tourism economy, in recent years, the overall gap between the tourism economy in Jiangsu did not widen, the gap mainly led by the region one after another. According to their volatility, it will be divided into four categories: A Stable type (Wuxi, Xuzhou, Lianyungang and Taizhou), B Increasing type (Huai’an), C Fluctuations type (Nanjing, Changzhou, Suzhou and Yangzhou) and D Depression type (Nantong, Yancheng, Zhenjiang and Suqian). [Conclusion] Location entropy was quoted into tourism economic analysis, the method was simple and easy to understand, the result was accurate and convincing, which provided a reference for travel economic development and investment decision-making of Jiangsu.

Analysis on Behavior Characteristics of Tourists under Perspective of Sustainable Development of Tourism Destinations: A Case Study of Mugecuo Scenic Area in Kangding City of Sichuan Province

Tourists are the subject of tourism activity,and it is conducive to promoting sustainable development of tourism destination by studying their behavior characteristics and tourism perception.Mugecuo Scenic Area in Kangding City,Ganzi Tibetan Autonomous Prefecture,Sichuan Province is taken as research case,and visitors and managers in the scenic area are surveyed by using semi-structured interview method.Based on survey data,the research aims to put forward corresponding policy suggestions for sustainable development of Mugecuo Scenic Area by deeply analyzing tourists’ access to information of scenic area,tourists’ travel purpose,tourists’ satisfaction with services of scenic area and willingness to revisit.

Study on the Spatial Characteristics and Adjustments of the Tourist Demands in China

With the development of the social economy, Chinese tourism will surely change from medium scale to massive scale. As people are more and more focusing on the inner values of life style, new types of tourist demands will emerge at anytime, and the spatial structure of tourist demands will show new characteristics as well Until now there is few study on tourist demand, especially on its spatial pattern. Study on spatial characteristics of tourist demand will contribute to spatial optimization and adjustments of tourist flow and supply. So this article has put forward the spatial pattern of tourist demand in China and measures of spatial adjustments and grade system of the spatial adjustment of tourists demand.

Tourist behavior patterns in the ecotourism destination in the west of China: A case study of Gannan Tibetan Autonomous Prefecture

This study takes Gannan Tibetan Autonomous Prefecture as the place of case study and tourists as research objects. From the perspectives of geographical distribution of source tourist markets, Tourist activity behavioral and spatial patterns of Tourists, this study looks into the geographical structure of the source tourists and spatial patterns by geography. The analysis of 341 questionnaires on tourists shows that:(1) The tourism cycle of Gannan is in the development phase, competing with adjacent Aba, and greatly impacted by the substitution effect and shadow effect of Aba.(2) The spatial distribution of tourist sources is concentrated, indicating that Gannan is a regional tourism destination. The temporal distance of tourists is mainly concentrated within the 6-hour traffi c circle.(3) Gannan Tibetan Autonomous Prefecture has already become the composite tourist destination dominated by leisure vacation. The minority folkcustom and special landscape are the most attractive tourism resources. Due to the impact of man-land harmonious lifestyle in the tourist areas, the environmental attitude of tourists is improved, and the transportation and shopping are the most vulnerable links in tourism service in Gannan Tibetan Autonomous Prefecture.(4) The spatial behavior of tourists in Gannan is mainly of single-destination style(52%), Transit leg and circle tour style(7%) as well as circle tour style(41%). The spatial distribution of tourist fl ow in Gannan shows a signifi cant feature "more in the north, less in the south and dependent on National Road". Tourism resources, transport facilities, regional competition and lack of route connecting different ecological units are important causes of the spatial distribution of self-help tourists.

广东省文旅特色村空间分异及其影响因素

乡村旅游地是乡村旅游发展的空间载体,研究其空间分布格局有利于优化乡村旅游供给,助推乡村振兴战略。以广东省259个文旅特色村为研究样本,运用最邻近指数、缓冲区分析、地理探测器等空间分析方法探究广东省文旅特色村空间分布特征及其影响因素。结果表明:(1)广东省文旅特色村的空间分布类型为集聚型,在市域范围内分布不均衡;(2)广东省文旅特色村呈多核心集聚发展态势,可分为珠三角双核心区与粤东单核心区,3大集聚区均形成明显的“中心-外围”结构,珠三角双核心区已形成连绵发展态势;(3)在地形、水文、交通、人口密度等自然地理与社会经济因素综合作用下,广东省文旅特色村呈现出南密北疏的空间分布格局。

新疆红色既民族团结旅游景点时空分布特征及交通可达性分析

红色既民族团结旅游景点时空分布特征以及交通可达性是区红色既民族团结旅游的基础要素。本文通过对来疆参与红色既民族团结旅游活动的游客游记的信息提取,运用ArcGIS空间分析技术,对新疆红色既民族团结旅游景区的时空分布特征、服务空间范围变化趋势、交通可达性进行测量。在综合考虑三个因素的基础上,对新疆红色既民族团结旅游景区进行空间功能区划分,得到以下结论:(1)新疆红色既民族团结旅游景点在空间上存在明显的多核心聚集态势;(2)新疆红色既民族团结旅游景点的服务范围存在显著的两极化发展趋势;(3)新疆红色既民族团结旅游线路整体交通可达性欠发达;(4)新疆红色既民族团结旅游空间功能区主要可以概括为“三条发展主轴、四个文化核心、五个服务大区”。在此基础上提出了一些建议。

河北省乡村旅游地时空分布特征及动态演化研究

通过最邻近指数和核密度分析方法探究2006-2022年河北省乡村旅游地的时空演变和空间分布特征,利用地理探测器探讨河北省乡村旅游地空间分布的主导因素。结果显示:河北省乡村旅游发展可分为起步萌芽期、缓慢发展期、快速成长期和稳定上升期4个阶段;依据乡村旅游地资源类型和特色,可将其划分为休闲观光类、风景名胜类、乡村文化类、遗址遗存类和特色产业类5类;总体乡村旅游地集聚特征愈发明显,且集聚点稳步增长,形成以平泉-平山为分界线、东侧团状集聚、西侧分散、东多西少的格局,呈现“沿路”“临水”“近山”“环城”“近景”分布特征;各类乡村旅游地均呈集聚发展趋势,时空结构演化不同,呈现独特且鲜明的特征;总体乡村旅游地空间分布受地理环境、交通条件、经济环境、政策环境、市场区位和旅游基础的共同影响,其中地理环境因素是基础,休闲观光类、风景名胜类、乡村文化类、遗址遗存类和特色产业类乡村旅游地的主导因素分别为地理环境、A级景区数量、交通通达距离、地形地势和水文条件、经济环境和市场区位。

Spatial and Temporal Distribution Characteristics of Flower-viewing Tourism and Its Influencing Factors in China

Despite the rapid development of flower-viewing tourism in China in recent years,there is almost no systematic research on it.Therefore,this study analyzes the spatial and temporal distribution characteristics of flower-viewing tourism and its influencing factors in China using the spatial statistical analysis methods and the geographic detector method.The study uses the Point-of-Interest data of flower-viewing tourist attractions from networks such as Qunar and Ctrip,the flower observation data from China Phenological Observation Network,Chinese network news,and Weibo,and the statistical data from yearbooks.The results are as follows:1)The spatial attribution type of flower-viewing tourism in China is aggregated into areas,including two high-density aggregated areas,three medium-density aggregated areas,and one general-density aggregated area.Furthermore,five major types of flower-viewing tourist attractions have formed several aggregated areas.2)The time of flower viewing in China starts from about February and lasts about eight months till October each year.Florescence and flowering time of different ornamental flowers in different regions are different.3)The spatial and temporal distribution characteristics of flower-viewing tourism in China are mainly affected by ornamental flower phenology,spatial distribution characteristics of flower-viewing resources,regional permanent population size,youth population size,female population size,regional GDP,and added value of the tertiary sector.These conclusions clarify the spatial and temporal distribution characteristics of flower-viewing tourism and its influencing factors in China.They could provide a scientific basis and useful reference for the coordination and sustainable development of regional flower-viewing tourism in China.

不同游客群体垃圾分类标准偏好研究——二分类与四分类标准的比较

基于模拟卡片投放的行为实验,探索游客在不同垃圾分类标准下的分类偏好,并利用潜变量logit模型建立了不同游客人口特征与分类标准偏好的关联关系。研究结果表明,不同游客群体对垃圾分类标准的偏好存在差异,中青年低收入群体和青年高收入群体偏好四分类标准,中年高收入群体则无明显偏好。游客在四分类标准下的分类判断正确率较二分类判断正确率高出6.16%,对不同类别垃圾的分类判断能力也存在显著差异。对可回收物的分类判断正确率较高,四分类标准下判断正确率高达75.18%,二分类标准下判断正确率达59.50%。但游客对其他垃圾的分类判断正确率较低,在四分类标准和二分类标准下,仅70.50%和56.93%。根据上述结果提出了相关建议,以便提升垃圾分类效率,推动低碳旅游。

典型旅游地生境质量时空演化特征——以婺源县为例

以典型旅游目的地婺源县为研究对象,利用土地利用、统计年鉴、高德地图等多源数据,综合运用InVEST模型、热点分析、核密度分析方法,定量评估2000—2020年生境质量时空演变特征及其与旅游要素的空间关系。结果表明:(1)婺源县土地利用类型以林地、耕地、草地为主,2000—2020年间旱地、其他林地、中覆盖草地面积减少显著,其它建设用地、城镇用地、水库坑塘均有不同程度的增加。(2)婺源县生境质量总体较好,均值呈微幅下降且加速下降的趋势,后十年下降幅度明显大于前十年。低值区沿人类活动密集区呈带状或斑块状分布,高值区以北部丘陵、中部平原最为显著,热点分析显示为“北热南冷”,土地利用结构变化是婺源县整体低生境质量占比增大,高生境质量呈下降趋势的主要原因。(3)旅游活动是影响生境质量变化的外在动力,旅游要素核密度高值区与生境质量退化区域空间吻合,核密度值越高区域,低等级生境质量占比越大。高等级旅游资源聚集、地势平坦、交通便利区域生境退化更为显著。

318国道川藏线旅游景点空间分布特征及影响因素研究

景点是旅游系统中不可或缺的要素,厘清其空间分布特征及影响因素是优化旅游景点空间布局、促进区域旅游业发展的关键。本研究基于POI大数据,综合运用最邻近指数、变异系数、核密度分析、Getis-Ord Gi*热点分析、地理探测器探究318国道川藏线旅游景点的空间分布特征及影响因素,结果显示:(1)318国道川藏线旅游景点在空间分布上为典型的集聚分布。(2)318国道川藏线旅游景点整体呈现出“两中心高度集聚,其他区域零散分布”和“依山、聚盆”的分布态势,大多位于101~1000 m的低海拔区域和3000~5000 m的中高海拔区域,上山趋势明显。(3)318国道川藏线旅游景点冷热区域呈现出“东热西冷”的分布格局。(4)318国道川藏线旅游景点布局受GDP影响显著,受海拔影响最弱;双因子交互作用的影响力均高于单因子作用,并产生明显的双因子增强作用。基于上述研究结论,提出318国道川藏线旅游景点空间统筹优化建议,为促进道路沿线区域旅游提档升级发展提供借鉴。

基于POI数据的徐州市旅游景点空间分布特征及影响因素研究

文章基于POI数据对徐州市旅游景点展开研究。研究表明:徐州市旅游景点空间分布模式整体呈集聚型态势,中心城区分布密度大;公园与广场两类景点空间集聚程度最高,纪念馆类景点呈随机型分布。徐州市旅游景点空间分布特征在市中心呈双核多环态势、其余县域呈单核多散点分布态势。交通、住宿、餐饮三类服务设施与各类旅游景点的空间相关性与便捷可达性具有优化空间与前景。

基于行为时空特征的老年人日常生活圈形态测度方法——以苏州古城为例

社区生活圈是老年人日常活动的基本单元,如何精准识别老年人生活圈形态成为生活圈规划的核心问题。老年人日常生活圈本质上表征老年人与社区空间的供需关系。因此,本文通过PPGIS调查方法,归纳总结社区老年人的行为时空特征;根据老年人的行为时空特征数据,采用栅格法划分生活圈空间范围,在栅格中构建“频率-距离”统计模型识别老年人日常生活圈的圈层形态。通过对比三个苏州市典型社区的老年人日常生活圈形态,研究结果表明该方法可以测度不同社区老年人日常生活圈形态。

基于订单数据的苏州市网约出租车司机多平台运营特征分析

为分析苏州市网约出租车单平台和多平台接单司机的运营特征和行为差异,通过对苏州市2024年4月的1737万条网约车订单数据进行清洗和分析,获取订单的起始时间、位置、里程和金额等信息,并对数据进行差异性、时间分布和空间分布的详细分析。结果显示,约30%的网约车司机使用2~3个平台接单,多平台接单的司机在单位里程收入和单位时间收入上与单平台接单司机无明显差异,司机的收入主要取决于工作时间长短;多平台接单行为在时间上集中于白天,在空间上集中于中心城区,这表明,司机通过多平台同时接单不能提升收入,管理部门应向司机做好宣传解释工作,避免司机因多平台同时接单、抢单而造成的安全隐患。研究结果为网约出租车的管理和政策制定提供了数据支持和理论依据。

中国城市居民旅游目的地选择行为研究

根据在上海、西安、成都、长春获得的共３３９４份问卷的信息处理和分析，得到中国城市居民关于旅游目的地选择行为的４条基本规律。在文章的后半部分，作者又从旅游者个体特征角度，讨论了性别、年龄、职业、受教育程度等因子与目的地选择之间的相关关系。

三亚市旅游客流空间特性研究

旅游流是旅游目的地与客源地之间空间相互作用的结果。旅游客流空间特性是旅游地理学的重要研究内容。在大量实地调研的基础上 ,本文研究了中国典型的海滨旅游地———三亚市旅游客源市场的空间分布特征 ;在重力模型的基础上 ,以航空票价为经济距离指标 ,建立了基于航空廊道的旅游客流空间潜力模型 ;分析了三亚市旅游者空间行为特征。认为三亚市客源市场空间分布广泛 ,所建立的旅游客流空间潜力模型可以用于指导旅游目的地的旅游客源市场空间定位 ,三亚市旅游者空间行为以飞行 /驾驶式为主。建议三亚市建立旅游航空票价调节基金来降低飞机票价 ,降低旅游交通门槛 ,促进旅游客流量的增加。

旅游者空间行为及其国内外研究综述

学者们对于旅游者空间行为往往是基于这样的理解:旅游者空间行为是旅行行为地域移动的游览过程。以动态分析视角,对旅游者空间行为概念进行重新界定,认为旅游者空间行为有广义和狭义之分,并对其国内外相关研究进行系统总结和评价。

江苏省国内旅游结构特征研究

运用西方旅游者研究理论,分析不同社会发展阶段旅游结构特征,通过江苏国内旅游问卷调查,首次对江苏国内旅游结构特征进行系统研究。通过对旅游者社会经济特征、旅游行为特征、旅游产业结构和旅游空间结构的分析,认为江苏国内旅游表现出工业社会初期与中后期交错叠合的阶段特征,产业结构正处在明显转型期。

基于GPS数据的旅游时空行为评价研究

目前,采用GPS追踪技术获取旅游者时空行为轨迹数据的技术已经开始应用于旅游行为研究中,但是对基于GPS数据的旅游时空行为的分析仍然停留在描述分析和模式聚类阶段。如何深入挖掘空间尺度上精确至米、时间尺度上精确到秒的GPS数据,文章尝试运用Arc GIS技术在对GPS轨迹点实现时空路径三维可视化的基础上,进一步提炼出路径长度、游览时间、游览速度、覆盖面积和椭圆周长5项量化评价指标,并提出了具体的计算方法,在计算5项量化指标的基础上采用因子分析的方法探索基于GPS数据的旅游时空行为评价因子。以香港海洋公园旅游者时空行为GPS追踪数据的分析为案例,将旅游时空行为评价因子提取为空间-时间因子、节奏-消费因子和情感-经验因子3个评价因子。由此,提出了一种基于GPS数据的旅游时空行为评价方法,为GPS数据的挖掘和利用提供研究基础。从旅游供给的角度来说,为基于旅游者时空行为分析的产品提升和精细化管理提供指导,比如通过延长旅游者的游览时间、延长游览路径、扩大游览面积、降低游览速度、增加旅游消费、增加旅游经验和增强情感体验等措施,均能有效地增加旅游体验的数量和质量。