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
BibRef
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
BibRef
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.,
Vision-based production of personalized video,
SP:IC(24), No. 3, March 2009, pp. 158-176.
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.
DOI Link
1612
BibRef
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.
WWW Link.
1610
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
And:
Correction:
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Khan, N.U.[Naimat Ullah],
Wan, W.G.[Wang-Gen],
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
BibRef
And:
Original:
IJGI(9), No. 2, 2020, pp. xx-yy.
2003
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Ameen, T.[Thaair],
Chen, L.[Ling],
Xu, Z.X.[Zhen-Xing],
Lyu, D.D.[Dan-Dan],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Xiao, X.[Xin],
Fang, C.Y.[Chao-Yang],
Lin, H.[Hui],
Characterizing Tourism Destination Image Using Photos' Visual Content,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Han, S.S.[Shan-Shan],
Liu, C.M.[Cui-Ming],
Chen, K.Y.[Ke-Yun],
Gui, D.W.[Da-Wei],
Du, Q.Y.[Qing-Yun],
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
BibRef
Zhao, Q.Q.[Qi-Qi],
Chen, Y.M.[Yan-Ming],
Cuan, Y.[Yuda],
Zhang, H.[Han],
Li, W.[Wei],
Wan, S.[Sida],
Li, M.C.[Man-Chun],
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Ruan, Y.L.[Yu-Ling],
Zou, Y.H.[Yan-Hong],
Chen, M.H.[Ming-Hui],
Shen, J.Y.[Jing-Ya],
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
BibRef
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
BibRef
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
BibRef
Zhou, X.[Xiao],
Tian, J.P.[Jiang-Peng],
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
BibRef
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
BibRef
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.
DOI Link
2109
BibRef
Huang, C.[Chengkun],
Lin, F.[Feiyang],
Chu, D.[Deping],
Wang, L.[Lanlan],
Liao, J.W.[Jia-Wei],
Wu, J.Q.[Jun-Qian],
Spatiotemporal Evolution and Trend Prediction of Tourism Economic
Vulnerability in China's Major Tourist Cities,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Wang, L.J.[Ling-Jin],
Wu, X.[Xiao],
He, Y.[Yan],
Nanjing's Intracity Tourism Flow Network Using Cellular Signaling
Data: A Comparative Analysis of Residents and Non-Local Tourists,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Ma, X.T.[Xin-Tao],
Hu, Y.[Yuna],
Liu, Y.W.[Yong-Wei],
Tourists' Behavioral Characteristics Regarding Island-Based
Tourism Destinations through the Perspective of Spatial Constraints:
A Case Study of Yangma Island in China,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Zhang, G.M.[Gui-Ming],
Detecting and Visualizing Observation Hot-Spots in Massive
Volunteer-Contributed Geographic Data across Spatial Scales Using
GPU-Accelerated Kernel Density Estimation,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Yu, D.J.[Dong-Jin],
Yu, T.[Ting],
Wu, Y.[Yiyu],
Liu, C.F.[Cheng-Fei],
Personalized recommendation of collective points-of-interest with
preference and context awareness,
PRL(153), 2022, pp. 16-23.
Elsevier DOI
2201
Point of interest, POI Similarity, POI Recommendation,
Personalized transfer, Collective POIs
BibRef
Wang, X.[Xican],
Liu, Y.H.[Yan-Heng],
Zhou, X.[Xu],
Wang, X.Y.[Xue-Ying],
Leng, Z.Q.[Zhao-Qi],
A Point-of-Interest Recommendation Method Exploiting Sequential,
Category and Geographical Influence,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Li, Y.[Yu],
Xiong, F.[Fei],
Wang, Z.Y.[Zi-Yi],
Chen, Z.L.[Zu-Long],
Xu, C.F.[Chuan-Fei],
Yin, Y.[Yuyu],
Zhou, L.[Li],
Spatial-Temporal Deep Intention Destination Networks for Online
Travel Planning,
ITS(23), No. 3, March 2022, pp. 2688-2700.
IEEE DOI
2203
Predictive models, Planning, Urban areas, Recommender systems, Fuses,
Feature extraction, Estimation, High-order feature interaction,
online travel planning
BibRef
Han, B.[Bing],
Zhu, D.[Daoye],
Cheng, C.Q.[Cheng-Qi],
Pan, J.[Jiawen],
Zhai, W.X.[Wei-Xin],
Patterns of Nighttime Crowd Flows in Tourism Cities Based on Taxi Data:
Take Haikou Prefecture as an Example,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Yoon, G.[Gyugeun],
Chow, J.Y.J.[Joseph Y. J.],
Dmitriyeva, A.[Assel],
Fay, D.[Daniel],
Effect of Routing Constraints on Learning Efficiency of Destination
Recommender Systems in Mobility-on-Demand Services,
ITS(23), No. 5, May 2022, pp. 4021-4036.
IEEE DOI
2205
Routing, Recommender systems, Vehicle dynamics, Search engines,
Urban areas, Heuristic algorithms, Vehicle routing,
physical Internet
BibRef
Tian, Z.H.[Zhi-Hui],
Liu, Y.[Yi],
Wang, Y.J.[Yong-Ji],
Wu, L.[Lili],
A Tourist Behavior Analysis Framework Guided by Geo-Information Tupu
Theory and Its Application in Dengfeng City, China,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Huang, Y.[Yiyi],
Lin, T.[Tao],
Zhang, G.Q.[Guo-Qin],
Zhu, W.[Wei],
Hamm, N.A.S.[Nicholas A. S.],
Liu, Y.[Yuqin],
Zhang, J.[Junmao],
Yao, X.[Xia],
Exploring the Relationship between the Spatial Distribution of
Different Age Populations and Points of Interest (POI) in China,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Wang, X.Y.[Xue-Ying],
Liu, Y.H.[Yan-Heng],
Zhou, X.[Xu],
Leng, Z.Q.[Zhao-Qi],
Wang, X.[Xican],
Long- and Short-Term Preference Modeling Based on Multi-Level
Attention for Next POI Recommendation,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link
2206
location-based social networks.
BibRef
Liang, J.[Jian],
Tang, J.J.[Jin-Jun],
Liu, F.[Fang],
Wang, Y.H.[Yin-Hai],
Combining Individual Travel Preferences Into Destination Prediction:
A Multi-Module Deep Learning Network,
ITS(23), No. 8, August 2022, pp. 13782-13793.
IEEE DOI
2208
Trajectory, Feature extraction, Predictive models,
Hidden Markov models, Deep learning, Time series analysis,
trajectory data mining
BibRef
Xie, Y.C.[Yu-Chen],
Meng, X.Z.[Xiang-Zhuang],
Cenci, J.[Jeremy],
Zhang, J.Z.[Jia-Zhen],
Spatial Pattern and Formation Mechanism of Rural Tourism Resources in
China: Evidence from 1470 National Leisure Villages,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Li, R.J.[Rui-Jing],
Guo, J.Z.[Jian-Zhong],
Liu, C.[Chun],
Li, Z.[Zheng],
Zhang, S.Q.[Shao-Qing],
Using Attributes Explicitly Reflecting User Preference in a
Self-Attention Network for Next POI Recommendation,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Wang, J.[Jingbo],
Xia, Y.[Yu],
Wu, Y.T.[Yu-Ting],
Sensing Tourist Distributions and Their Sentiment Variations Using
Social Media: Evidence from 5A Scenic Areas in China,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Li, T.[Taohong],
Shi, H.[Hong],
Chen, N.C.[Ning Chris],
Yang, L.[Luo],
Time-Space Compression Effect of High-Speed Rail on Tourist
Destinations in China,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Qiu, P.Y.[Pei-Yuan],
Gao, J.L.[Jia-Liang],
Lu, F.[Feng],
Identifying the Relatedness between Tourism Attractions from Online
Reviews with Heterogeneous Information Network Embedding,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Haris, E.[Erum],
Gan, K.H.[Keng Hoon],
Extraction and Visualization of Tourist Attraction Semantics from
Travel Blogs,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Qin, X.[Xiwen],
Yin, D.M.[Dong-Mei],
Dong, X.G.[Xiao-Gang],
Chen, D.X.[Dong-Xue],
Zhang, S.A.[Shu-Ang],
Passenger Flow Prediction of Scenic Spots in Jilin Province Based on
Convolutional Neural Network and Improved Quantile Regression Long
Short-Term Memory Network,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Wu, H.Q.[Hao-Qi],
Chen, Z.A.[Zhen-An],
Yan, J.[Jun],
Tang, X.L.[Xiao-Lan],
Multi-Source Spatio-Temporal Data-Based Tourism Structure Analysis of
Demonstration City for Global Tourism: Case Study of Liyang, China,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Zhang, X.[Xin],
Lu, X.Q.[Xiao-Qian],
Zhou, X.L.[Xiao-Lan],
Shen, C.[Chaohai],
Reconsidering Tourism Destination Images by Exploring Similarities
between Travelogue Texts and Photographs,
IJGI(11), No. 11, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Xu, S.Q.[Shu-Qiang],
Huang, Q.Y.[Qun-Ying],
Zou, Z.Q.[Zhi-Qiang],
Spatio-Temporal Transformer Recommender: Next Location Recommendation
with Attention Mechanism by Mining the Spatio-Temporal Relationship
between Visited Locations,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Chen, X.J.[Xue-Jun],
Huang, Y.[Yang],
Chen, Y.S.[Yue-Sheng],
Spatial Pattern Evolution and Influencing Factors of Tourism Flow in
the Chengdu-Chongqing Economic Circle in China,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Lu, M.[Ming],
Xie, Q.[Qian],
A Novel Approach for Spatially Controllable High-Frequency Forecasts
of Park Visitation Integrating Attention-Based Deep Learning Methods
and Location-Based Services,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Adamiak, C.[Czeslaw],
Tourism De-Metropolisation but Not De-Concentration:
COVID-19 and World Destinations,
IJGI(12), No. 4, 2023, pp. 139.
DOI Link
2305
BibRef
Zhou, Y.[Yan],
Zhou, K.X.[Kai-Xuan],
Chen, S.[Shuaixian],
Context-Aware Point-of-Interest Recommendation Based on Similar User
Clustering and Tensor Factorization,
IJGI(12), No. 4, 2023, pp. 145.
DOI Link
2305
BibRef
Karas, Y.K.,
Atay, L.,
Sevinç, H.K.,
Duru, A.,
Investigation of GIS Based Mobile Route Planning:
Navigation Applications for Tourism Activities,
SmartCityApp21(321-326).
DOI Link
2201
BibRef
Badri, H.,
Hmioui, A.,
Smart Tourism Destination Competitiveness:
The Exploitation of the Big Data in Morocco,
SmartCityApp21(259-265).
DOI Link
2201
BibRef
Feng, W.[Wei],
Liu, F.[Feng],
Research on Tourism Marketing Based on Community E-commerce,
DHM21(II:299-309).
Springer DOI
2108
BibRef
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).
DOI Link
2012
BibRef
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).
DOI Link
2012
BibRef
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
BibRef
Mohd, Z.H.,
Ujang, U.,
Integrating Multiple Criteria Evaluation and GIS in Ecotourism:
A Review,
GGT16(351-354).
DOI Link
1612
BibRef
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
BibRef
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 .