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智慧景區(qū)大數(shù)據(jù)體系（2）-景區(qū)大數(shù)據(jù)應(yīng)用場景：采集到的數(shù)據(jù)能夠做什么？

智慧景區(qū)大數(shù)據(jù)體系（2）-景區(qū)大數(shù)據(jù)應(yīng)用場景：采集到的數(shù)據(jù)能夠做什么？

作者： 低代碼架構(gòu)師Kaiwen
閱讀數(shù)：159
更新時間：2024-02-23 20:34:50
智慧景區(qū)大數(shù)據(jù)體系（2）-景區(qū)大數(shù)據(jù)應(yīng)用場景：采集到的數(shù)據(jù)能夠做什么？
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二、景區(qū)大數(shù)據(jù)應(yīng)用場景：采集到的數(shù)據(jù)能夠做什么？

1.預(yù)測景區(qū)流量

預(yù)測景區(qū)流量能夠更好的保證景區(qū)安全，做好景區(qū)配套設(shè)施的準備。
下面介紹三種景區(qū)預(yù)測常用的算法：
①時間序列法，根據(jù)以往觀測到的數(shù)據(jù)觀測到的時間序列數(shù)據(jù)，發(fā)現(xiàn)其歷史的趨勢和模式，并依據(jù)這種歷史的趨勢和模型，通過曲線擬合和參數(shù)估計來建立數(shù)學模型的理論和方法。
優(yōu)點：適用于絕大部分旅游景區(qū)，且考慮了景區(qū)客流量變化的歷史趨勢，預(yù)測過程相對簡單，對中長期旅游客流量的預(yù)測效果較好。
缺點：對旅游客流量生成與影響因素的內(nèi)在運作機理分析不夠，沒有考慮到現(xiàn)實存在或新產(chǎn)生的各種干擾因素；且對歷史數(shù)據(jù)的準確性要求較高，偏差較大的數(shù)據(jù)對結(jié)果影響較大。
②回歸分析法
采用計量經(jīng)濟學方法揭示經(jīng)濟活動中各個因素之間的定量關(guān)系，通過對景區(qū)客流量相關(guān)因素，如人均可支配收入、景區(qū)門票價格、景區(qū)知名度、交通通達度、景區(qū)所在城市吸引力系數(shù)（該城市游客人數(shù)/全國游客數(shù)量）、景區(qū)吸引力系數(shù)（景區(qū)游客人數(shù)/該城市游客人數(shù)）等相關(guān)數(shù)據(jù)的收集，建立多元線性回歸模型，達到預(yù)測效果。
優(yōu)點：將影響客流量的各種因素作為解釋變量，以大數(shù)據(jù)作為支撐，預(yù)測精度較高，且克服了時間序列法的解釋變量單一的缺陷。
缺點：前期數(shù)據(jù)收集耗時耗費大，影響因子較多，難以確定；所收集的數(shù)據(jù)多為二手數(shù)據(jù)，容易失真。
③大數(shù)據(jù)統(tǒng)計分析法
通過景區(qū)閘機門、售票系統(tǒng)、車流量、視屏監(jiān)控、紅外設(shè)備等獲取相關(guān)數(shù)據(jù)，并采用一定的技術(shù)手段進行處理，最終統(tǒng)計出當前景區(qū)客流量，并用以預(yù)測未來的客流量。
優(yōu)點：所獲取的資料均為一手資料，數(shù)據(jù)真實性高。
缺點：數(shù)據(jù)收集周期長，過程繁瑣；只適用于已建成的景區(qū)，無法對新建景區(qū)進行預(yù)測。
實際操作中，應(yīng)考慮數(shù)據(jù)的可獲得性、時效性、全面性，綜合使用一種或多種預(yù)測方法，并通過設(shè)置調(diào)節(jié)因子，盡可能提高預(yù)測精度。
 

2.精細化用戶運營

通過收集到的數(shù)據(jù)，搭建用戶畫像體系，精細化用戶運營，構(gòu)建景區(qū)的私域流量池。
這種方法只適用于景區(qū)本身有自己的數(shù)字化智慧景區(qū)軟件，能夠或者到各ota平臺的用戶個人信息，可以根據(jù)用戶的畫像特征，分別進行不同的運營策略，例如可以給已經(jīng)結(jié)婚有小孩的游客推薦親子票，提高轉(zhuǎn)化率，給大學生提供大學生專用時段團購票、情侶票、宿舍四人游票等優(yōu)惠，錯開景區(qū)游玩高峰期，從而提高景區(qū)的客流量，提升景區(qū)的總營業(yè)額。
也可以通過手機號碼短信推薦或者平臺推薦信息的方法，進行用戶的召回（讓老用戶或者已經(jīng)流失的用戶再次來景區(qū)游玩，或者通過游客景區(qū)新上了哪些新景點和娛樂設(shè)施激活用戶）。
 

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