16.7.4.8.5 Human Activities, Tourist Traffic Flow

Chapter Contents (Back)
Crowds. Tourism.

Sacchi, C.[Claudio], Gera, G.[Gianluca], Marcenaro, L.[Lucio], Regazzoni, C.S.[Carlo S.],
Advanced image-processing tools for counting people in tourist site-monitoring applications,
SP(81), No. 5, May 2001, pp. 1017-1040.
Elsevier DOI 0105
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Mazzu, A.[Andrea], Chiappino, S.[Simone], Marcenaro, L.[Lucio], Regazzoni, C.S.[Carlo S.],
A track-before-detect algorithm using joint probabilistic data association filter and interacting multiple models,
ICIP14(4947-4951)
IEEE DOI 1502
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Earlier: A2, A3, A4, Only:
Selective attention automatic focus for cognitive crowd monitoring,
AVSS13(13-18)
IEEE DOI 1311
Covariance matrices video surveillance BibRef

Kosmopoulos, D.I., Doulamis, A.D., Makris, A., Doulamis, N.D., Chatzis, S.P., Middleton, S.E.,
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Elsevier DOI 0903
Human identification; Tracking; Automated content production Personalized video souvenirs for tourists -- tracking people through the venue. BibRef

Gu, Z.H.[Zhi-Hui], Zhang, Y.[Yan], Chen, Y.[Yu], Chang, X.M.[Xiao-Meng],
Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining: A Case Study of Shenzhen, China,
IJGI(5), No. 11, 2016, pp. 210.
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Lu, E.H.C.[Eric Hsueh-Chan], Fang, S.H.[Shih-Hsin], Tseng, V.S.[Vincent S.],
Integrating tourist packages and tourist attractions for personalized trip planning based on travel constraints,
GeoInfo(20), No. 4, October 2016, pp. 741-763.
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Domènech, A.[Antoni], Gutiérrez, A.[Aaron],
A GIS-Based Evaluation of the Effectiveness and Spatial Coverage of Public Transport Networks in Tourist Destinations,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
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Maeda, T.N.[Takashi Nicholas], Yoshida, M.[Mitsuo], Toriumi, F.[Fujio], Ohashi, H.[Hirotada],
Extraction of Tourist Destinations and Comparative Analysis of Preferences Between Foreign Tourists and Domestic Tourists on the Basis of Geotagged Social Media Data,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Manrique-Sancho, M.T.[María-Teresa], Avelar, S.[Silvania], Iturrioz-Aguirre, T.[Teresa], Manso-Callejo, M.Á.[Miguel-Ángel],
Using the Spatial Knowledge of Map Users to Personalize City Maps: A Case Study with Tourists in Madrid, Spain,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Han, S.S.[Shan-Shan], Ren, F.[Fu], Wu, C.[Chao], Chen, Y.[Ying], Du, Q.Y.[Qing-Yun], Ye, X.Y.[Xin-Yue],
Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Gu, Q.S.[Qiu-Shi], Zhang, H.P.[Hai-Ping], Chen, M.[Min], Chen, C.C.[Chong-Cheng],
Regionalization Analysis and Mapping for the Source and Sink of Tourist Flows,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
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And: Correction: IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Kaufmann, M.[Michael], Siegfried, P.[Patrick], Huck, L.[Lukas], Stettler, J.[Jürg],
Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
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Chen, W.[Wen], Xu, Z.Y.[Zhi-Yun], Zheng, X.Y.[Xiao-Yao], Luo, Y.L.[Yong-Long],
Geo-Tagged Photo Metadata Processing Method for Beijing Inbound Tourism Flow,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
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Zhu, X.N.[Xin-Ning], Sun, T.Y.[Tian-Yue], Yuan, H.[Hao], Hu, Z.[Zheng], Miao, J.S.[Jian-Song],
Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan,
IJGI(8), No. 2, 2019, pp. xx-yy.
DOI Link 1903
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Rajaonarivo, L.[Landy], Fonteles, A.[André], Sallaberry, C.[Christian], Bessagnet, M.N.[Marie-Noëlle], Roose, P.[Philippe], Etcheverry, P.[Patrick], Marquesuzaà, C.[Christophe], Lacayrelle, A.L.[Annig Le_Parc], Cayèré, C.[Cécile], Coudert, Q.[Quentin],
Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism,
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link 1906
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Khan, N.U.[Naimat Ullah], Wan, W.[Wanggen], Yu, S.[Shui],
RETRACTED: Spatiotemporal Analysis of Tourists and Residents in Shanghai Based on Location-Based Social Network's Data from Weibo,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
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And: Original: IJGI(9), No. 2, 2020, pp. xx-yy. 2003
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Liu, C.Y.[Chun-Yang], Liu, J.P.[Ji-Ping], Xu, S.H.[Sheng-Hua], Wang, J.[Jian], Liu, C.[Chao], Chen, T.Y.[Tian-Yang], Jiang, T.[Tao],
A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
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Zhang, X.[Xucai], Sun, Y.[Yeran], Zheng, A.[Anyao], Wang, Y.[Yu],
A New Approach to Refining Land Use Types: Predicting Point-of-Interest Categories Using Weibo Check-in Data,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
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Liao, L.[Lizi], Kennedy, L.[Lyndon], Wilcox, L.[Lynn], Chua, T.S.[Tat-Seng],
Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain,
MMMod20(I:405-418).
Springer DOI 2003
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Ye, P.J.[Pei-Jun], Zhu, F.H.[Feng-Hua], Sabri, S.[Samer], Wang, F.Y.[Fei-Yue],
Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition,
ITS(21), No. 5, May 2020, pp. 2180-2189.
IEEE DOI 2005
Sociology, Organizations, Tensors, Transportation, Biological system modeling, Correlation, Population synthesis, agent-based simulation BibRef

Cheng, Z., Jian, S., Rashidi, T.H., Maghrebi, M., Waller, S.T.,
Integrating Household Travel Survey and Social Media Data to Improve the Quality of OD Matrix: A Comparative Case Study,
ITS(21), No. 6, June 2020, pp. 2628-2636.
IEEE DOI 2006
Urban areas, Data models, Twitter, Data mining, High-temperature superconductors, Forestry, Twitter, Foursquare, multi-city model BibRef

Deng, Y.B.[Ying-Bin], Yan, Y.W.[Ying-Wei], Xie, Y.C.[Yi-Chun], Xu, J.H.[Jian-Hui], Jiang, H.[Hao], Chen, R.R.[Ren-Rong], Tan, R.[Runnan],
Developing Shopping and Dining Walking Indices Using POIs and Remote Sensing Data,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
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Rawat, Y.S., Shah, M., Kankanhalli, M.S.,
Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory,
CirSysVideo(30), No. 7, July 2020, pp. 2276-2287.
IEEE DOI 2007
Animals, Photography, Social networking (online), Real-time systems, Trajectory, Computational modeling, personalization BibRef

Deng, Y.[Yue], Liu, J.P.[Ji-Ping], Luo, A.[An], Wang, Y.[Yong], Xu, S.H.[Sheng-Hua], Ren, F.[Fu], Su, F.Z.[Fen-Zhen],
Spatial Mismatch between the Supply and Demand of Urban Leisure Services with Multisource Open Data,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
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Ameen, T.[Thaair], Chen, L.[Ling], Xu, Z.X.[Zhen-Xing], Lyu, D.[Dandan], Shi, H.Y.[Hong-Yu],
A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
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Jedruch, M.[Michalina], Furmankiewicz, M.[Marek], Kaczmarek, I.[Iwona],
Spatial Analysis of Asymmetry in the Development of Tourism Infrastructure in the Borderlands: The Case of the Bystrzyckie and Orlickie Mountains,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
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Rodríguez-Rangel, M.C.[M. Cristina], Sánchez-Rivero, M.[Marcelino], Ramajo-Hernández, J.[Julián],
Spatial Intensity in Tourism Accommodation: Modelling Differences in Trends for Several Types through Poisson Models,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link 2008
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Chu, L.[Lixia], Oloo, F.[Francis], Chen, B.[Bin], Xie, M.M.[Miao-Miao], Blaschke, T.[Thomas],
Assessing the Influence of Tourism-Driven Activities on Environmental Variables on Hainan Island, China,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Li, K.Q.[Ke-Qing], Liang, C.Y.[Chang-Yong], Lu, W.X.[Wen-Xing], Li, C.[Chu], Zhao, S.P.[Shu-Ping], Wang, B.Y.[Bin-You],
Forecasting of Short-Term Daily Tourist Flow Based on Seasonal Clustering Method and PSO-LSSVM,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Rodríguez-Echeverría, J.[Jorge], Semanjski, I.[Ivana], van Gheluwe, C.[Casper], Ochoa, D.[Daniel], IJben, H.[Harm], Gautama, S.[Sidharta],
Density-Based Spatial Clustering and Ordering Points Approach for Characterizations of Tourist Behaviour,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Bustamante, A.[Alexander], Sebastia, L.[Laura], Onaindia, E.[Eva],
BITOUR: A Business Intelligence Platform for Tourism Analysis,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Zhou, T.[Tao], Huang, B.[Bo], Liu, X.Q.[Xiao-Qian], He, G.Q.[Guang-Qin], Gou, Q.A.[Qi-Ang], Huang, Z.H.[Zhi-Hui], Xie, C.[Cheng],
Spatiotemporal Exploration of Chinese Spring Festival Population Flow Patterns and Their Determinants Based on Spatial Interaction Model,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Domènech, A.[Antoni], Mohino, I.[Inmaculada], Moya-Gómez, B.[Borja],
Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Liu, J.X.[Jian-Xiao], Shi, W.Z.[Wen-Zhong], Chen, P.F.[Peng-Fei],
Exploring Travel Patterns during the Holiday Season: A Case Study of Shenzhen Metro System During the Chinese Spring Festival,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Dane, G.[Gamze], Borgers, A.[Aloys], Kaya, D.I.[Deniz Ikiz], Feng, T.[Tao],
Visitor Flows at a Large-Scale Cultural Event: GPS Tracking at Dutch Design Week,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link 2012
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Xiao, X.[Xin], Fang, C.[Chaoyang], Lin, H.[Hui],
Characterizing Tourism Destination Image Using Photos' Visual Content,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
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Han, S.S.[Shan-Shan], Liu, C.[Cuiming], Chen, K.[Keyun], Gui, D.[Dawei], Du, Q.[Qingyun],
A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos,
IJGI(10), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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Zhao, Q.[Qiqi], Chen, Y.M.[Yan-Ming], Cuan, Y.[Yuda], Zhang, H.[Han], Li, W.[Wei], Wan, S.[Sida], Li, M.[Manchun],
Application of Ecosystem Service Bundles and Tour Experience in Land Use Management: A Case Study of Xiaohuangshan Mountain (China),
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Zaragozí, B.[Benito], Trilles, S.[Sergio], Gutiérrez, A.[Aaron],
Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103
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Kim, G.S.[Gang Sun], Chun, J.[Joungyoon], Kim, Y.[Yoonjung], Kim, C.K.[Choong-Ki],
Coastal Tourism Spatial Planning at the Regional Unit: Identifying Coastal Tourism Hotspots Based on Social Media Data,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Jiang, W.[Wei], Xiong, Z.A.[Zheng-An], Su, Q.[Qin], Long, Y.[Yi], Song, X.Q.[Xiao-Qing], Sun, P.[Peng],
Using Geotagged Social Media Data to Explore Sentiment Changes in Tourist Flow: A Spatiotemporal Analytical Framework,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Baburajan, V.[Vishnu], de Abreu e Silva, J.[João], Pereira, F.C.[Francisco Camara],
Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis,
ITS(22), No. 4, April 2021, pp. 2123-2132.
IEEE DOI 2104
Data mining, Autonomous vehicles, Resource management, Predictive models, Frequency measurement, Standards, travel behaviour research BibRef

Cao, B., Zhao, J., Lv, Z., Yang, P.,
Diversified Personalized Recommendation Optimization Based on Mobile Data,
ITS(22), No. 4, April 2021, pp. 2133-2139.
IEEE DOI 2104
Tensors, Optimization, Statistics, Sociology, Training, Linear programming, Evolutionary computation, tensor decomposition BibRef

Yu, D.J.[Dong-Jin], Shen, Y.[Yi], Xu, K.[Kaihui], Xu, Y.H.[Yi-Hang],
Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
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Qiu, Q.[Qihang], Zhang, M.[Mu],
Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
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Jiang, W.[Wei], Wang, Y.D.[Yan-Dong], Xiong, Z.A.[Zheng-An], Song, X.Q.[Xiao-Qing], Long, Y.[Yi], Cao, W.D.[Wei-Dong],
Detecting Urban Events by Considering Long Temporal Dependency of Sentiment Strength in Geotagged Social Media Data,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
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Mor, M.[Matan], Fisher-Gewirtzman, D.[Dafna], Yosifof, R.[Roei], Dalyot, S.[Sagi],
3D Visibility Analysis for Evaluating the Attractiveness of Tourism Routes Computed from Social Media Photos,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
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Liu, Y.W.[Yong-Wei], Liao, W.[Wang],
Spatial Characteristics of the Tourism Flows in China: A Study Based on the Baidu Index,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Zhang, X.[Xu], Song, C.[Chao], Wang, C.W.[Cheng-Wu], Yang, Y.[Yili], Ren, Z.P.[Zhou-Peng], Xie, M.Y.[Ming-Yu], Tang, Z.Y.[Zhang-Ying], Tang, H.[Honghu],
Socioeconomic and Environmental Impacts on Regional Tourism across Chinese Cities: A Spatiotemporal Heterogeneous Perspective,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Ruan, Y.L.[Yu-Ling], Zou, Y.H.[Yan-Hong], Chen, M.H.[Ming-Hui], Shen, J.[Jingya],
Monitoring the Spatiotemporal Trajectory of Urban Area Hotspots Using the SVM Regression Method Based on NPP-VIIRS Imagery,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
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Kearney, S.P.[Sean P.], Larsen, T.A.[Terrence A.], Goodbody, T.R.H.[Tristan R. H.], Coops, N.C.[Nicholas C.], Stenhouse, G.B.[Gordon B.],
Characterizing Off-Highway Road Use with Remote-Sensing, Social Media and Crowd-Sourced Data: An Application to Grizzly Bear (Ursus Arctos) Habitat,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
Off-road use in remote habitat. Compare image based and social media based data. BibRef

Damos, M.A.[Mohamed A.], Zhu, J.[Jun], Li, W.[Weilian], Hassan, A.[Abubakr], Khalifa, E.[Elhadi],
A Novel Urban Tourism Path Planning Approach Based on a Multiobjective Genetic Algorithm,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
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Zhang, X.J.[Xiao-Jian], Yu, L.M.[Li-Min], Wang, M.J.[Min-Juan], Gao, W.L.[Wan-Lin],
FM-based: Algorithm research on rural tourism recommendation combining seasonal and distribution features,
PRL(150), 2021, pp. 297-305.
Elsevier DOI 2109
Rural tourism, Factorization machines, Geographical distribution recommendation BibRef

Lin, J.P.[Jin-Ping], Wu, K.[Kangmin], Yang, S.[Shan], Liu, Q.Q.[Qian-Qian],
The Asymmetric Pattern of Population Mobility during the Spring Festival in the Yangtze River Delta Based on Complex Network Analysis: An Empirical Analysis of 'Tencent Migration' Big Data,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
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Zhou, X.[Xiao], Tian, J.[Jiangpeng], Peng, J.[Jian], Su, M.Z.[Ming-Zhan],
A Smart Tourism Recommendation Algorithm Based on Cellular Geospatial Clustering and Multivariate Weighted Collaborative Filtering,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
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Cayèré, C.[Cécile], Sallaberry, C.[Christian], Faucher, C.[Cyril], Bessagnet, M.N.[Marie-Noëlle], Roose, P.[Philippe], Masson, M.[Maxime], Richard, J.[Jérémy],
Multi-Level and Multiple Aspect Semantic Trajectory Model: Application to the Tourism Domain,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
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Hu, L.[Lei], Xu, J.[Jun], Bao, C.[Chao], Pei, T.[Tao],
Influential Factor Detection for Tourism on the Qinghai-Tibet Plateau Based on Social Media Data,
IJGI(10), No. 9, 2021, pp. xx-yy.
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Feng, W.[Wei], Liu, F.[Feng],
Research on Tourism Marketing Based on Community E-commerce,
DHM21(II:299-309).
Springer DOI 2108
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Rafique, A., Karas, I.R., Abujayyab, S.K.M., Khan, A.A., Demiral, E.,
Application of Exploratory Spatial Techniques In the Identification Of Tourism Hotspots In the Aegean Region of Turkey,
SmartCityApp20(351-354).
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Oxoli, D., Terza, V., Cannata, M., Brovelli, M.A.,
An Open It Infrastructure for Green Tourism Management and Promotion: The Insubri.parks Project,
ISPRS20(B4:277-281).
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Sun, P., Hou, R., Lynch, J.P.,
Measuring the Utilization of Public Open Spaces by Deep Learning: A Benchmark Study at the Detroit Riverfront,
WACV20(2217-2226)
IEEE DOI 2006
Cameras, Sensors, Feature extraction, Surveillance, Object detection, Machine learning, Benchmark testing BibRef

Farid, I.A., Abdul Khanan, M.F., Umar, H.A., Ismail, Z.,
Analysing Student Tourist Movement Based On The Utility Maximisation In Designing Tour Package in Johor Bahru,
GGT19(205-214).
DOI Link 1912
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Mohd, Z.H., Ujang, U.,
Integrating Multiple Criteria Evaluation and GIS in Ecotourism: A Review,
GGT16(351-354).
DOI Link 1612
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Amorim, M.[Mário], Mar, A.[Adriana], Monteiro, F.[Fernando], Sylaiou, S.[Stella], Pereira, P.[Pedro], Martins, J.[João],
Smart Tourism Routes Based on Real Time Data and Evolutionary Algorithms,
EuroMed18(I:417-426).
Springer DOI 1811
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Gallo, G., Signorello, G., Farinella, G.M., Torrisi, A.,
Exploiting Social Images to Understand Tourist Behaviour,
CIAP17(II:707-717).
Springer DOI 1711
From georeference of images on social media. From the location, understand behavior. BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Activities, Sports, Planned Activities .


Last update:Oct 16, 2021 at 11:54:21