CN104899650B - 基于多源数据分析对旅游景区客流量进行预测的方法 - Google Patents
基于多源数据分析对旅游景区客流量进行预测的方法 Download PDFInfo
- Publication number
- CN104899650B CN104899650B CN201510274779.0A CN201510274779A CN104899650B CN 104899650 B CN104899650 B CN 104899650B CN 201510274779 A CN201510274779 A CN 201510274779A CN 104899650 B CN104899650 B CN 104899650B
- Authority
- CN
- China
- Prior art keywords
- scenic spot
- flow
- passengers
- passenger flow
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 76
- 238000007405 data analysis Methods 0.000 title claims abstract description 16
- 230000000694 effects Effects 0.000 claims abstract description 33
- 238000004458 analytical method Methods 0.000 claims description 41
- 238000012937 correction Methods 0.000 claims description 38
- 230000005764 inhibitory process Effects 0.000 claims description 31
- 230000003321 amplification Effects 0.000 claims description 16
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 16
- 230000001953 sensory effect Effects 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000002085 persistent effect Effects 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 abstract 1
- 230000007246 mechanism Effects 0.000 description 7
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000013178 mathematical model Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 2
- 230000000052 comparative effect Effects 0.000 description 2
- 238000000205 computational method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 239000003507 refrigerant Substances 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
ssd | 等级 | 人体感觉 | δ |
≥89 | 5级 | 人体感觉酷热,极度不适应 | 0.40 |
86-88 | 4级 | 人体感觉很热,极不适应 | 0.60 |
80—85 | 3级 | 人体感觉炎热,很不舒适 | 0.85 |
76—79 | 2级 | 人体感觉偏热,不舒适 | 0.95 |
71—75 | 1级 | 人体感觉偏暖,较为舒适 | 1.00 |
59—70 | 0级 | 人体感觉最为舒适,最可接受 | 1.15 |
51—58 | -1级 | 人体感觉略偏凉,较为舒适 | 1.00 |
39—50 | -2级 | 人体感觉较冷(清凉),不舒适 | 0.95 |
26—38 | -3级 | 人体感觉很冷,很不舒适 | 0.85 |
≤25 | -4级 | 人体感觉寒冷,极不适应 | 0.60 |
时间点 | 已入园人数 | 当天客流量 | 占比 |
9:00 | 100 | 1000 | 10% |
10:00 | 300 | 1000 | 30% |
11:00 | 600 | 1000 | 60% |
12:00 | 700 | 1000 | 70% |
13:00 | 800 | 1000 | 80% |
14:00 | 900 | 1000 | 90% |
15:00 | 950 | 1000 | 95% |
16:00 | 1000 | 1000 | 100% |
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510274779.0A CN104899650B (zh) | 2015-05-26 | 2015-05-26 | 基于多源数据分析对旅游景区客流量进行预测的方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510274779.0A CN104899650B (zh) | 2015-05-26 | 2015-05-26 | 基于多源数据分析对旅游景区客流量进行预测的方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104899650A CN104899650A (zh) | 2015-09-09 |
CN104899650B true CN104899650B (zh) | 2017-02-15 |
Family
ID=54032303
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510274779.0A Active CN104899650B (zh) | 2015-05-26 | 2015-05-26 | 基于多源数据分析对旅游景区客流量进行预测的方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104899650B (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108416464A (zh) * | 2018-01-31 | 2018-08-17 | 山东汇贸电子口岸有限公司 | 一种基于手机移动终端的客流预测方法及系统 |
Families Citing this family (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105516370B (zh) * | 2016-02-05 | 2019-03-12 | 携程计算机技术(上海)有限公司 | 实时推送系统及方法 |
CN106095973B (zh) * | 2016-06-20 | 2019-05-21 | 东北大学 | 一种结合短时流量预测的旅游路线推荐方法 |
CN106779196A (zh) * | 2016-12-05 | 2017-05-31 | 中国航天系统工程有限公司 | 一种基于旅游大数据的游客流量预测及峰值调控方法 |
CN108616919B (zh) * | 2016-12-08 | 2021-11-23 | 腾讯科技(深圳)有限公司 | 一种公共区域人流监控方法及装置 |
CN106960250B (zh) * | 2017-03-03 | 2020-09-04 | 陕西师范大学 | 一种动态预测旅游景点客流的方法 |
CN106878952B (zh) * | 2017-03-20 | 2020-07-10 | 迪爱斯信息技术股份有限公司 | 区域人员数量的预测方法及装置 |
CN107423837A (zh) * | 2017-04-12 | 2017-12-01 | 宁夏丝路风情旅游网络股份有限公司 | 旅游路线的智能规划方法及系统 |
CN107154969B (zh) * | 2017-04-27 | 2022-04-19 | 腾讯科技(深圳)有限公司 | 目的地点推荐方法及装置 |
CN107169555B (zh) * | 2017-06-30 | 2020-11-13 | Oppo广东移动通信有限公司 | 一种闸机提示方法、装置、存储介质和终端 |
CN108053242B (zh) * | 2017-12-12 | 2021-02-09 | 携程旅游信息技术(上海)有限公司 | 景点门票票量预测方法、系统、设备及存储介质 |
CN108053153A (zh) * | 2018-02-22 | 2018-05-18 | 海南师范大学 | 一种生态旅游环境承载力预警系统 |
CN108417040B (zh) * | 2018-05-14 | 2020-09-08 | 武汉理工大学 | 一种特色小镇交通分布预测方法 |
CN108846503B (zh) * | 2018-05-17 | 2022-07-08 | 电子科技大学 | 一种基于神经网络的呼吸系统疾病患病人次动态预测方法 |
CN109034469A (zh) * | 2018-07-20 | 2018-12-18 | 成都中科大旗软件有限公司 | 一种基于机器学习的游客流量预测方法 |
CN109325805B (zh) * | 2018-09-20 | 2022-03-11 | 北京工业大学 | 基于K-means聚类算法及离散小波变换的无人超市客流量预测方法 |
TWI709144B (zh) * | 2018-12-24 | 2020-11-01 | 國家災害防救科技中心 | 依機器學習偵測使用行動通訊服務之人流異常之系統及其方法 |
CN110533480A (zh) * | 2019-09-04 | 2019-12-03 | 上海丙晟科技有限公司 | 一种基于大数据的商场客流预测方法 |
CN110738854A (zh) * | 2019-10-28 | 2020-01-31 | 广州南翼信息科技有限公司 | 一种基于信息发布与语音播报的公交信息展示播报系统 |
CN111008747A (zh) * | 2019-12-18 | 2020-04-14 | 贵州智诚科技有限公司 | 一种基于交旅数据融合的景区客流量预测方法 |
CN111126715B (zh) * | 2020-01-03 | 2023-05-12 | 成都中科大旗软件股份有限公司 | 景区客流量管控系统 |
CN112382048B (zh) * | 2020-11-16 | 2022-03-15 | 成都中科大旗软件股份有限公司 | 一种基于视频图像分析的区域客流监测系统及方法 |
CN112381974B (zh) * | 2020-11-16 | 2022-03-22 | 成都中科大旗软件股份有限公司 | 文博场馆客流预警系统 |
WO2022217684A1 (zh) * | 2021-04-13 | 2022-10-20 | 海南云端信息技术有限公司 | 一种景区饱和度预测方法和服务器 |
CN112988847B (zh) * | 2021-04-20 | 2021-08-03 | 广东智九信息科技有限公司 | 一种基于大数据的景区人数预测系统以及方法 |
CN113255567B (zh) * | 2021-06-15 | 2021-10-15 | 湖南中惠旅智能科技有限责任公司 | 基于智慧景区的资源协同方法及系统 |
CN113449060B (zh) * | 2021-06-29 | 2022-07-01 | 金陵科技学院 | 基于混合基因表达式编程的地理大数据安全风险评估方法 |
CN116502765A (zh) * | 2023-05-16 | 2023-07-28 | 江苏慧眼数据科技股份有限公司 | 一种基于lstm模型的滞留人数预测方法 |
CN117592638A (zh) * | 2023-10-20 | 2024-02-23 | 南京新中安物联技术股份有限公司 | 一种景区客流分析与管控的方法及系统 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103136703A (zh) * | 2012-12-27 | 2013-06-05 | 中州大学 | 一种统计处理游客密度分布的方法及系统 |
-
2015
- 2015-05-26 CN CN201510274779.0A patent/CN104899650B/zh active Active
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108416464A (zh) * | 2018-01-31 | 2018-08-17 | 山东汇贸电子口岸有限公司 | 一种基于手机移动终端的客流预测方法及系统 |
Also Published As
Publication number | Publication date |
---|---|
CN104899650A (zh) | 2015-09-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104899650B (zh) | 基于多源数据分析对旅游景区客流量进行预测的方法 | |
Rahman et al. | Perceived service quality of paratransit in developing countries: A structural equation approach | |
Arana et al. | Influence of weather conditions on transit ridership: A statistical study using data from Smartcards | |
Anderson | Subways, strikes, and slowdowns: The impacts of public transit on traffic congestion | |
Prybutok et al. | Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations | |
Bravo et al. | Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation | |
Mouwen et al. | Does competitive tendering improve customer satisfaction with public transport? A case study for the Netherlands | |
Yamarik | Can tax policy help explain state-level macroeconomic growth? | |
CN101290713A (zh) | 一种结合周相似特性的分形交通流预测方法 | |
Pencheva et al. | Evaluation of passenger waiting time in public transport by using the Monte Carlo method | |
Frey et al. | Modelling complex investment decisions in Germany for renewables with different machine learning algorithms | |
de Magalhães et al. | Car users’ attitudes towards an enhanced bus system to mitigate urban congestion in a developing country | |
Figart et al. | A gender analysis of US labor market policies for the working poor | |
Tisato | Service unreliability and bus subsidy | |
Casello et al. | Quantifying impacts of transit reliability on user costs | |
Imisiker et al. | Stuck on the road: Traffic congestion and stock returns | |
Hau | Using a Hicksian approach to cost-benefit analysis in discrete choice: An empirical analysis of a transportation corridor simulation model | |
Huang et al. | Differences in probability weighting for individual travelers: a managed lane choice application | |
Börjesson | Inter-temporal variation in the travel time and travel cost parameters of transport models | |
Constantinescu et al. | Impact study of telematics auto insurance | |
Khalik Al-Tae et al. | Prediction analysis of trip production using cross-classification technique | |
Chernick | Evaluating the effect of differences in revenue systems on the fiscal health of large US cities | |
Damuri et al. | Tracking the Ups and Downs in Indonesia’s Economic Activity During COVID-19 Using Mobility Index: Evidence from Provinces in Java and Bali | |
Picasso et al. | Measuring the externalities of urban traffic improvement programs | |
Timushev | Drivers of Fiscal Resources at the Local Level in Russia: Role of Institutions Reflected in Regional Debt |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: Two Lu Tian Hua high tech Zone of Chengdu City, Sichuan province 610000 219 5 unit 1 Building 6 layer 1, 2, 3, 4 Applicant after: Flag softcom limited of Chengdu Chinese University of Science and Technology Address before: 610000, No. four, 15 South Renmin Road, Chengdu, Sichuan, Wuhou District Applicant before: Flag softcom limited of Chengdu Chinese University of Science and Technology |
|
CB03 | Change of inventor or designer information |
Inventor after: Zhou Daohua Inventor before: Zhou Daohua Inventor before: Xiong Hai |
|
COR | Change of bibliographic data | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CP01 | Change in the name or title of a patent holder | ||
CP01 | Change in the name or title of a patent holder |
Address after: Two Lu Tian Hua high tech Zone of Chengdu City, Sichuan province 610000 219 5 unit 1 Building 6 layer 1, 2, 3, 4 Patentee after: Chengdu Zhongke Daqi Software Co., Ltd. Address before: Two Lu Tian Hua high tech Zone of Chengdu City, Sichuan province 610000 219 5 unit 1 Building 6 layer 1, 2, 3, 4 Patentee before: Flag softcom limited of Chengdu Chinese University of Science and Technology |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Method for predicting tourist flow volume of tourist attraction on basis of multi-source data analysis Effective date of registration: 20200628 Granted publication date: 20170215 Pledgee: China Minsheng Banking Corp Chengdu branch Pledgor: Chengdu Zhongke Daqi Software Co.,Ltd. Registration number: Y2020980003505 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |