旅游学刊
旅遊學刊
여유학간
Tourism Tribune
2013年
10期
30~36
,共null页
李春明 王亚军 刘尹 董仁才 赵景柱
李春明 王亞軍 劉尹 董仁纔 趙景柱
리춘명 왕아군 류윤 동인재 조경주
公众 互联网 地理信息系统 消费电子 鼓浪屿
公衆 互聯網 地理信息繫統 消費電子 鼓浪嶼
공음 호련망 지리신식계통 소비전자 고랑서
public ; internet ; geographic information system ; consumer electronics ; Gulangyu
随着便携消费电子产品(例如数码相机、手机、便携电脑)的普及和网络技术的发展,互联网上存有大量带有地理参考信息的照片,这些由公众自主创造并公开分享的地理信息,为研究游客在景区的时空行为提供了大量的数据资源。文章以Panoramio网站收集的10年内447名游客在厦门市鼓浪屿上拍摄的2272张照片作为基础数据,详细介绍了借助带有地理参考信息的照片来研究游客时空行为的方法,分析了游客在鼓浪屿景区的时间变化(日变化、周变化和月变化)、停留时间、日均游客量、游客流向图和旅游热点区域,并且利用前人的研究结果和媒体公布的数据对该方法进行验证,得到了相似的结果。文章认为,基于地理参考照片的方法能够客观地反映出景区内游客的时空行为,同时在数据获取、游客流向图以及旅游热点区域分析等方面具有明显的优势。
隨著便攜消費電子產品(例如數碼相機、手機、便攜電腦)的普及和網絡技術的髮展,互聯網上存有大量帶有地理參攷信息的照片,這些由公衆自主創造併公開分享的地理信息,為研究遊客在景區的時空行為提供瞭大量的數據資源。文章以Panoramio網站收集的10年內447名遊客在廈門市鼓浪嶼上拍攝的2272張照片作為基礎數據,詳細介紹瞭藉助帶有地理參攷信息的照片來研究遊客時空行為的方法,分析瞭遊客在鼓浪嶼景區的時間變化(日變化、週變化和月變化)、停留時間、日均遊客量、遊客流嚮圖和旅遊熱點區域,併且利用前人的研究結果和媒體公佈的數據對該方法進行驗證,得到瞭相似的結果。文章認為,基于地理參攷照片的方法能夠客觀地反映齣景區內遊客的時空行為,同時在數據穫取、遊客流嚮圖以及旅遊熱點區域分析等方麵具有明顯的優勢。
수착편휴소비전자산품(례여수마상궤、수궤、편휴전뇌)적보급화망락기술적발전,호련망상존유대량대유지리삼고신식적조편,저사유공음자주창조병공개분향적지리신식,위연구유객재경구적시공행위제공료대량적수거자원。문장이Panoramio망참수집적10년내447명유객재하문시고랑서상박섭적2272장조편작위기출수거,상세개소료차조대유지리삼고신식적조편래연구유객시공행위적방법,분석료유객재고랑서경구적시간변화(일변화、주변화화월변화)、정류시간、일균유객량、유객류향도화여유열점구역,병차이용전인적연구결과화매체공포적수거대해방법진행험증,득도료상사적결과。문장인위,기우지리삼고조편적방법능구객관지반영출경구내유객적시공행위,동시재수거획취、유객류향도이급여유열점구역분석등방면구유명현적우세。
With the popularity of portable consumer electronics (e. g. digital camera, mobile phone, portable computer) and the development of network technology, plenty of freely accessible georeferenced photos are generated by the public on the internet, providing lots of data resources to study human temporal-spatial behavior. In this paper, we retrieved 2,272 photos from Panoramio, which had been taken in Gulangyu by 447 tourists over a period of 10 years, and introduced a georefereneed photo method to analyze the temporal-spatial behavior of tourists including tourist temporal variation ( daily, weekly and monthly) , duration of stay, daily average number of tourists, tourist flow maps and potential tourist hotspots. Comparing the results of this method with those reported by former researchers and the data released by the media, the following conclusions were drawn. 1. The results show that georeferenced photo method can analyze effectively the temporal-spatial behavior of tourists and has advantages in collecting data, analyzing tourist flow maps and potential hotspots with the help of GIS tools, especially in larger tourism areas. Compared to georeferenced photo method, the traditional methods such as questionnaire surveys, GPS positioning, mobile positioning etc need lots of volunteers, which increases the cost and time of research. 2. Different methods can complement each other. The georeferenced photo method also has some limits, for example, 1 ) people who upload their photos may not represent all types of visitors; 2) fewer photos are taken at night which do not properly reflect the temporal-spatial behavior during the night; 3 ) the possibility that time stamps extracted from the camera-generated EXIF metadata may not match the actual time the photo was taken; 4) the possibility that the stated location of the photo might not be correct and the demographic information such as age, gender and nationality cannot be obtained from that. While, the questionnaire survey can provide the demographic information, GPS positioning and mobile positioning can provide more accuratly locations and time. 3. " Public-Consumer electronics-Network" can be shape to an ideal research platform. In recent years, portable consumer electronics have spread widely and these devices have more powerful ability (faster processor, larger memory space, internet accessible, etc) to deal with more complex tasks. People use these devices to record information every day. In the process, their own behavior is simultaneously recorded in these devices. Meanwhile, with the popularity of the internet and the emergence of information-sharing internet communities, many people like to share their information with others and make it freely accessible on the internet, which provides a wealth of data to study the temporal-spatial distribution of humans. Such analysis will be helpful to tourism resource management.