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LIN SHANSHAN Ph.D.
Associate Professor | Doctoral supervisor
二维码
2023-03-02 | 27538
School of Management
  • +86-571-8820 6872
  • Room A605, 6/F, Department of Tourism and Hotel Management, School of Management, Zijin'gang Campus, Zhejiang University, Xihu District
    • · Tourism economics (with a particular focus on tourism forecasting)
    • · Smart tourism and big data
    • · Digital life service in tourism
    • · Chinese tourists' consumption behavior

Biography

Dr. Shanshan Lin is an Associate Professor, PhD supervisior, at the School of Management, Zhejiang University. Her major research interests are smart tourism, digital life service in tourism,·tourism economics (with a special focus on tourism demand modelling and forecasting) and Chinese tourists behavior. Her research has been published in top tourism and forecasting journals such as Annals of Tourism Research, Tourism Management and Journal of Travel Research and International Journal of Forecasting. She is currently the Associate Editor of Annals of Tourism Research and editorial board members of Journal of Travel Research, Tourism Economics, Asia Pacific Journal of Tourism Research, Journal of Destination Marketing & Management, Tourism Review and Tourism Management Perspectives. She is the principal investigator for several international, national and regional research projects with the focus of research objectives on tourism demand modeling and forecasting. She has been involved in a number of research/consultation projects related to tourism forecasting and tourist satisfaction index, including Hangzhou Asian Games, Pacific Asia Travel Association (PATA), Tourism Commission, Commerce and Economic Development Bureau, Hong Kong Tourism Board, Ocean Park (Hong Kong), Hong Kong Disneyland and Shanghai Disneyland. 


ACADEMIC APPOINTMENTS

 

  • 2015/12-Present:  Associate Professor, Department of Tourism and Hotel Management, School of Management, Zhejiang University

  • 2013/07-2015/12:  Lecturer, Department of Tourism and Hotel Management, School of Management, Zhejiang University

  • 2014/10-2015/01: Visiting Scholar , School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong

  • 2012/09-2013/06: Research Associate, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong

  • 2008/11-2009/06: Research Assistant, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong

 

EDUCATION EXPERIENCES 

  • 2009/06-2013/06: PhD, Tourism Management , The Hong Kong Polytechnic University, Hong Kong

  • 2009/05-2009/09: Visiting PhD,  University of Bath, UK

  • 2006/09-2008/12: MSc, Economics (Statistics) , Dongbei University of Finance and Economics, China

  • 2002/09-2006/07: Bachelor, Economics (Statistics), Dongbei University of Finance and Economics, China

Courses

Areas of Teaching Expertise

  • Tourism Economics

  • Statistics

  • Quantitative Research Methods in Tourism


Doctoral Courses

 

  • Managerial Statistics

  • Tourism Economics


D.HTM Courses (Joint Ph.D program by The Hong Kong Polytechnic University and Zhejiang University)http://zupuc.zju.edu.cn/curriculum/xwkc/category/D.HTM.html  :

  • Quantitative Research Methods for Hotel and Tourism Management


MBA Courses


Undergraduate Courses

  • Managerial Statistics

  • Data Visualization (to be open in 2019)



Research

Projects [Principal investigator]


  1. 2020.1-2023.12 [IN PROGRESS]: A System-Model Based Dynamic Evaluation System of Holistic Tourism Development: The Theoretical Framework and Empirical Study, National Natural Science Foundation of China 2019, Grant No.: 71973126  [Role: Principal investigator]

  2. 2021.9-2024.8 [IN PROGRESS]：Monitoring and Evaluating Digital Cultural and Tourism Consumption, Philosophy and Social Science Planning Project of Zhejiang Province 2021, Grant No.:  22NDJC049YB [Role: Principal investigator]

  3. 2019.1-2021.12 [COMPLETED]: Nowcasting of “Big” Tourism Flows Based on Tourist Behavior Modeling Theory, Zhejiang Province Natural Science Foundation 2019, Grant No.: LY19G030029  [Role: Principal investigator]

  4. 2016.1-2018.12 [COMPLETED]: A Theoretical and Empirical Study of Tourism Demand Combined Forecasting: The Perspective of Bayesian Theory, National Natural Science Foundation of China (Youth Foundation) 2015, Grant No.: 71503231 [Role: Principal Investigator]

  5. 2018.5-2018.10 [COMPLETED]:  Evaluate the Contribution of Holistic Tourism Industry to Hangzhou, Hangzhou Tourism Commission [Role: Investigator of the sub-project]

  6. 2014.1-2017.12 [COMPLETED]: Combining quantitative and qualitative forecasts in modelling China's international tourism demand, Zhejiang Province Natural Science Foundation (Youth Foundation) 2014, Grant No.: LQ14G010005  [Role: Principal investigator]

  7. 2015.1-2015.12 [COMPLETED]: The application of Bayesian techniques in Delphi forecasts: The case of inbound tourism demand forecasting in China, The Fundamental Research Funds for the Central Universities 2015 [Role: Principal investigator]

  8. 2022.11-2022.12 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2022 [Role: Principal Investigator]

  9. 2021.11-2021.12 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2021 [Role: Principal Investigator]

  10. 2020.10-2021.1 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2020  [Role: Principal Investigator]

  11. 2019.9-2019.10 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2019  [Role: Principal Investigator]

  12. 2018.9-2018.10 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2018  [Role: Principal Investigator]

  13. 2017.8-2017.10 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2017  [Role: Principal Investigator]

  14. 2016.8-2016.10 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2016  [Role: Principal Investigator]

  15. 2015.8-2015.10 [COMPLETED]: Shanghai Visitor Arrival Forecasting Consultancy Project 2015  [Role: Principal Investigator]


Projects [Key project memeber]


  1. Asia Pacific Visitor Forecasts 2023-2027， Period: October 2022  - March 2023

  2. Asia Pacific Visitor Forecasts 2022-2026， Period: October 2021  - March 2022

  3. Asia Pacific Visitor Forecasts 2021-2025， Period: October 2020  - March 2021

  4. Asia Pacific Visitor Forecasts 2020-2024， Period: October 2019  - March 2020

  5. Asia Pacific Visitor Forecasts 2019-2023， Period: October 2018  - March 2019

  6. Asia Pacific Visitor Forecasts 2018-2022， Period: October 2017  - March 2018

  7. Asia Pacific Visitor Forecasts 2017-2021， Period: October 2016  - March 2017

  8. Asia Pacific Visitor Forecasts 2016-2020， Period: October 2015  - March 2016

  9. Asia Pacific Visitor Forecasts 2015-2019，  Period: October 2014 - May 2015， Available at: http://www.patastore.com/asia-pacific-visitor-forecasts-2015-2019/

  10. Asia Pacific Visitor Forecasts 2014-2018 (Volume II)， Period: October 2013 – June 2014

    Available at: http://www.patastore.com/asia-pacific-visitor-forecasts-2014-2018/

  11. Asia Pacific Visitor Forecasts 2013-2017 (Volume I)， Period: January 2013 – August 2013

  12. PolyU Tourist Satisfaction Index and PolyU Service Quality Index (www.touristsatisfaction.org/  ORhttp://hotelschool.shtm.polyu.edu.hk/tsi/welcome/welcome.jsp)
    Period: September 2012 – January 2013     

  13. The Hong Kong Tourism Demand Forecasting System ( www.tourismforecasting.net)，Period: November 2008 – 

  14. Development and Maintenance of Tourism Forecasting SIG ( http://tourism.forecastingprinciples.com/)
    Period: June 2009 – 
    The Tourism Forecasting special interest group (SIG), a useful platform for industry managers, practitioners, and researchers concerned with tourism forecasting, offers an overview of the basic concepts and methods of tourism modelling and forecasting, the most popular tourism forecasting methodologies.


Publications

Journal Articles

 [English articles]

  1. Lin, V. S., Qin, Y.,  Li, G., & Jiang, F. (2022). Multiple effects of “distance”on domestic tourism demand. Annals of Tourism Research [A+, SSCI], 95,103440. https://doi.org/10.1016/j.annals.2022.103440 [Output of Grant 71973126].

  2. Liu, A., Lin, V. S.,  Li, G., & Song, H. (2022). Ex-ante Tourism Forecasting Assessment.  Journal of Travel Research [A+, SSCI].61(1), 64-75. https://doi.org/10.1177/0047287520974456. 

  3. Lin, V. S., Qin, Y., Ying, T., Shen, S., Lyu, G. (2022). Night-time Economy Vitality Index: Framework and Evidence. Tourism Economics [SSCI]. 28(3):665-691. https://doi.org/10.1177/13548166211042970 [Output of Grant 71973126 and LY19G030029].

  4. Yi, X., Fu, X., Lin, V. S., & Xiao, H. (2022). Integrating authenticity, well-being, and memorability in heritage tourism: A two-site investigation. Journal of Travel Research. [SSCI], 61(2), 378-393. https://doi.org/10.1177/0047287520987624 [Output of Grant 71973126 and LY19G030029 and 71973126]

  5. Lin, V. S.,  Qin, Y., Li, G., & Wu, J. (2021). Determinants of Chinese households’ tourism consumption: Evidence from China Family Panel Studies.  International Journal of Tourism Research [SSCI], 23,542-554. http://dx.doi.org/10.1002/jtr.2425. [Output of Grant 71973126 and LY19G030029]

  6. Lin, V. S. (2019). Judgmental Adjustments in Tourism Forecasting Practice: How Good Are They? Tourism Economics. 25(3), 402-424. https://doi.org/10.1177/1354816618806727.[Output of Grant 71503231]

  7. Lin, V. S., Yang, Y., & Li, G. (2019).  Where can tourism-led growth and economic-driven tourism growth occur? Journal of Travel Research. 58(5), 760-773.  http://journals.sagepub.com/doi/full/10.1177/0047287518773919 .[Output of Grant 71503231]

  8. Yi, X., Lin, V. S., Jin, W., & Luo, Q. (2017). The authenticity of heritage sites, tourists’ quest for existential authenticity, and destination loyalty. Journal of Travel Research [A+, SSCI]. 56(8), 1032-1048.(http://jtr.sagepub.com/content/early/2016/10/17/0047287516675061.abstract)[Output of Grant 71503231]

  9. Lin, V. S., Mao, R., & Song, H. (2015). Tourism expenditure patterns in China. Annals of Tourism Research [A+, SSCI], 54 (September), 100-117. (www.sciencedirect.com/science/article/pii/S016073831500095X) [Output of Grant LQ14G010005]

  10. Lin, V. S.,  Liu, A., & Song, H. (2015). Modeling and forecasting China outbound tourism: An econometric approach. Journal of Travel and Tourism Marketing [SSCI], 32(1-2), 34-49. (http://www.tandfonline.com/doi/abs/10.1080/10548408.2014.986011#.VSNuMiuUd8F)  [Output of Grant LQ14G010005]

  11. Lin, V. S., & Song, H. (2015). A review of Delphi forecasting research in tourism, Current Issues in Tourism [A, SSCI]. 18(2),1099-1131. http://www.tandfonline.com/eprint/Eew998guzrTYcsetddKS/full).  [Output of Grant LQ14G010005]

  12. Lin, V.S.,  Goodwin, P., &  Song, H. (2014). Accuracy and bias of experts' adjusted forecasts. Annals of Tourism Research [A+, SSCI]. 48(September), 156-174.(              http://www.sciencedirect.com/science/article/pii/S0160738314000814)  [Output of Grant LQ14G010005]

  13. Jin, T., Lin, S., & Hung, K. (2014). China’s Generation Y’s expectation on outbound group package tour, Asia Pacific Journal of Tourism Research [SSCI],19(6), 617-644. (http://www.tandfonline.com/doi/abs/10.1080/10941665.2013.806939).

  14. Lin, S. (2013). Improving forecasting accuracy by combining statistical and judgmental forecasts in tourism. Journal of China Tourism Research, 9(3), 325-352.(www.tandfonline.com/doi/abs/10.1080/10941665.2013.806939#.VeWclvmqpBc)

  15. Tukamushaba1, E., Lin, V. S., & Bwire, T. (2013). Modeling and forecasting inbound tourism demand for long-haul markets of Beijing, Journal of China Tourism Research, 9(4), 489-506.(http://www.tandfonline.com/doi/pdf/10.1080/19388160.2013.841505)

  16. Song, H. Gao, Z, & Lin, S. (2013). Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system, International Journal of Forecasting [A, SSCI], 29(2), 295-310.  (http://www.sciencedirect.com/science/article/pii/S0169207012000064)

  17. Song, H., Gao, Z, Zhang, X., & Lin, S. (2012). A web-based Hong Kong tourism demand forecasting system. International Journal of Networking and Virtual Organizations [EI], 10(3/4), 275-291.(www.inderscienceonline.com/doi/abs/10.1504/IJNVO.2012.046451)

  18. Yankholmes, A. K. B., & Lin, S. (2012). Leisure and education in Ghana: An exploratory study of university students’ leisure lifestyles, World Leisure Journal, 54(1), 58-68.(www.tandfonline.com/doi/abs/10.1080/04419057.2012.668044)

  19. Song, H., Lin, S., Witt, S. F., & Zhang, X. (2011). Impact of financial/economic crisis on demand for hotel rooms in Hong Kong. Tourism Management [A+, SSCI], 32(1), 172-186.(www.sciencedirect.com/science/article/pii/S0261517710000907)

  20. Ayeh, J. & Lin, S. (2011). 'Estimating tomorrow's tourist arrivals: Forecasting the demand for China's tourism using the general-to-specific approach. Tourism and Hospitality Research, 11(3), 203-212.(thr.sagepub.com/content/11/3/197.short)

  21. Chon, K., Li, G., Lin, S., & Gao, Z. (2010). Recovery of tourism demand in Hong Kong from the global financial and economic crisis. Journal of China Tourism Research, 6(3), 259-278.(www.tandfonline.com/doi/abs/10.1080/19388160.2010.503916)

  22. Song, H, & Lin, S. (2010). Impacts of the financial and economic crisis on tourism in Asia. Journal of Travel Research [A+, SSCI], 49(1), 16-30.(jtr.sagepub.com/content/early/2009/12/03/0047287509353190.short)

  23. Song, H., Lin, S., Zhang, X., & Gao, Z. (2010). Global financial/economic crisis and tourist arrival forecasts for Hong Kong. Asia Pacific Journal of Tourism Research [SSCI], 15(2), 223-242. (www.tandfonline.com/doi/abs/10.1080/10941661003687431)


[Chinese articles]

  1. 王媛媛，林珊珊，叶顺，周玲强，任玉婷. (2022). 三元交互视角下民族村寨居民旅游支持行为意愿形成机理. 旅游学刊. 2022-10.

  2. 江帆，林珊珊，应天煜，等 . 中国旅游大数据研究：二十年回顾与展望［J］. 旅游导刊，2022，6（4）：68~104. ［JIANG Fan，LIN Shanshan，YING Tianyu，et al. Tourism big data research in China：A twenty-year review and prospects［J］. Tourism and Hospitality Prospects，2022，6（4）：68~104].


Qualifications

       

 

Qualifications

 

[ Academic qualifications ]

  • 2009/06-2013/06: Ph.D, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong SAR
  • 2011/05-2011/09: Visiting Ph.D, School of Management, University of Bath, UK
  • 2006/09-2008/12: MSc in Economics, School of Statistics, Dongbei University of Finance and Economics, China
  • 2002/09-2006/07: BSc in Economics, School of Statistics, Dongbei University of Finance and Economics, China
     

[Professional qualifications]

  • International Institute of Forecasters (IIF) member 
  • International Association for Tourism Economics (IATE) member
  • Qiushi Scholar, Zhejiang University

Other Professional Activities

Other Professional Activities

         Title                                       Journal


2018-2-Present：Associate Editor ，Annals of Tourism Research

2018-11-Present：Editorial Board Member，Journal of Travel Research

2022-12-Present：Editorial Board Member，Tourism Management

2018-2-Present：Editorial Board Member，Journal of Destination Marketing & Management 

2017-12-Present：Editorial Board Member，Tourism Economics

2017-09-Present：Editorial Board Member，Tourism Management Perspectives

2016-01-Present：Editorial Board Member，Asia Pacific Journal of Tourism Research

2016-09-Present：Editorial Board Member，Tourism Review

2021-09-Present:  Reviewer ，Journal of Sustainable Tourism

2017-09-Present：Reviewer ，International Journal of Hospitality Management

2015-12-Present：Reviewer ，Tourism Economics

2015-09-Present：Reviewer ，Annals of Tourism Research

2015-09-Present：Reviewer ，Current Issues in Tourism

2015-03-Present：Reviewer ，Tourism Management

2014-11-Present：Reviewer ，Big Data Research

2013-10-Present：Reviewer ，Journal of Travel Research

2012-11-Present：Reviewer ，Asia Pacific Journal of Tourism Research

2012-08-Present：Reviewer ，Journal of Travel & Tourism Marketing

2012-06-Present：Reviewer ，Journal of Chinese Economic and Business Studies

2011-08-Present：Reviewer ，Journal of China Tourism Research

 

Books & Chapters in Books

Books & Chapters in Books

  1. Lin, V. S., & Song, H. (2012). A review of qualitative forecasting in tourism, In C. Cooper (Ed.). Contemporary tourism reviews, Oxford: Goodfellow. 

  2. Lin, V. S., & Song, H. (2014). Judgmental forecasting in tourism, In C. Cooper (Ed.). Contemporary tourism reviews, Oxford: Goodfellow. [Link: www.goodfellowpublishers.com/academic-publishing.php]

  3. Lin, V. S. (2015). Co-integration, tourism, In J. Jafari and H. Xiao (Ed.). Encyclopedia of Tourism. Springer, DOI 10.1007/978-3-319-01669-6_1-1. Link: www.springer.com/business+%26+management/marketing/book/978-3-319-01383-1

  4. Lin, V. S., & Qin, Y. (2022). Judgmental forecasting. In D. C. Wu, G. Li, & H. Song (Eds.), Econometric modelling and forecasting of tourism demand: Methods and applications. London, UK: Routledge.

  5. Liu, A., V.S. Lin & H. Song (2018). Analysing and Forecasting Tourism Demand, The SAGE Handbook of Tourism Management, 202-221.

  6. Lin, V. S., Zhang, X., & Qiu, R. T. R. (2022). Theoretical foundations, key concepts, and data description. In D. C. Wu, G. Li, & H. Song (Eds.), Econometric modelling and forecasting of tourism demand: Methods and applications. London, UK: Routledge.

  7. Lin, V. S. (2022) Co-integration, tourism, In J. Jafari and H. Xiao (Ed.). Encyclopedia of Tourism. [accepted]

 

Conference Papers

       

 Conference Papers

  1. Lin, V. S., Yang, Y. & Li, G. (2016). Where does tourism-led growth occur? Empirical evidence from China. International Tourism, Hospitality & Events Conference 2016, University of Surrey, UK, July 19-22, 2016.
  2. Wu, J. , & Lin, V. S. (2016).  Determinants of China’s Household Tourism Expenditure: Evidence from the China Family Panel Studies. The 15th Asia Pacific Forum for Graduate Students Research in Tourism. Hong Kong, May 15-18, 2016.
  3. Lin, V. S. & Song, H. (2015). An empirical study on judgmental forecasting behaviour in tourism. The 35th International Symposium on Forecasting. Riverside, California, USA, June 21- 24, 2015.
  4. Yang, Y., & Lin, V. S. (2015). Where can tourism-led growth occur? Evidence from the Chinese regional data. The Fifth Conference of the International Association for Tourism Economics (IATE 2015) , Hong Kong, June 30- July 3, 2015.
  5. Lin, V.S., Mao, R., & Song, H. (2015). Household Expenditure Patterns for Tourism in China. The Fifth Conference of the International Association for Tourism Economics (IATE 2015) , Hong Kong, June 30- July 3, 2015.
  6. Lin, S., Goodwin, P. & Song, H. (2014). Accuracy and Unbiasedness of Judgmentally Adjusted Forecasts in Tourism. The 34th International Symposium on Forecasting. Rotterdam, The Netherlands, June 29-July 2.
  7. Lin, S. & Song, H. (2014). An empirical study on judgmental forecasting behaviour in tourism, Global Tourism & Hospitality Conference and 11th Asia Tourism Forum, Hong Kong, May 18-20.
  8. Lin, S., & Song, H. (2013). Judgmental forecasting in tourism: Experts’ insights. The 33rd International Symposium on Forecasting. Seoul, Korea, June 23-26, 2013.
  9. Lin, S., & Song, H. (2012). Improving forecasting accuracy by combining econometric and judgmental forecasts in tourism: The case of Hong Kong. The 32nd International Symposium on Forecasting. Boston, USA, June 24-27, 2012.
  10. Song, H., Gao, B., & Lin, S. (2012). Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system. The 32nd International Symposium on Forecasting. Boston, USA, June 24-27, 2012.
  11. Lin, S., & Song, H. (2012). Improving forecasting accuracy by combining econometric and judgmental forecasts in tourism: The Case of Hong Kong. The 10th Biennial Conference on Hospitality and Tourism Industry in Asia. Bandung, West-Java, Indonesia, May 8-10.
  12. Lin, S., & Song, H. (2011). Improving forecasting accuracy by combining statistical and judgmental forecasts in tourism. The 7th China Tourism Forum. Haikou, Hainan Province, China, October 23-25.
  13. Lin, S., & Song, H. (2011). An examination of Delphi forecast accuracy. Proceedings of the 31st International Symposium on Forecasting (p. 38), Prague, Czech Republic. June 26-29.
  14. Girardin, E., Lin, S., & Song, H. (2011). Forecasting hotel room rates in Hong Kong, Singapore and Taiwan. Proceedings of the 31st International Symposium on Forecasting (pp. 150-151), Prague, Czech Republic. June 26-29.
  15. Song, H., Witt, S. F., & Lin, S. (2010). Forecasting the demand for Hong Kong tourism: The views of experts. 20th Annual Conference of Council for Australian University Tourism and Hospitality Education (CAUTHE). CD Rom (22 pages). 8-11 February 2010, Tasmania, Australia.
  16. Bai, X., & Lin, S. (2009). Poverty, income inequality and income growth in rural China: An empirical study using rural household survey data. The 9th China Economics Annual Conference. Hangzhou, Zhejiang Province, China, December 12-13.
  17. Girardin, E., Song, H., & Lin, S. (2009). The Law of One Price for hotel rooms: Does it hold in Greater China and is it useful for forecasting? The 29th International Symposium on Forecasting (ISF2009), Hong Kong SAR, China, June 21-24.
  18. Lin, S., Song, H., Zhang, X., & Gao, Z. (2009). Global financial crisis and Hong Kong tourism demand forecast. The 29th International Symposium on Forecasting, Hong Kong SAR, China, June 21-24.
  19. Gao, Z., Song, H., Zhang, X., & Lin, S. (2009). An advanced web-based tourism demand forecasting system. The 29th International Symposium on Forecasting, Hong Kong SAR, China, June 21-24.
  20. Song, H., Lin, S., Zhang, X., & Gao, Z. (2009). Global financial crisis and the forecasts of tourism demand in Hong Kong. The 6th China Tourism Forum. Chengdu, Sichuan Province, China, May 12-13.
     

 

Reports

Consulting and research reports

  1. PATA and PolyU (2018). Asia Pacific Visitor Forecasts 2018-2022. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on March, 2018] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report] 

  2. PATA and PolyU (2017). Asia Pacific Visitor Forecasts 2017-2021. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on May, 2017] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report] 

  3. PATA and PolyU (2016). Asia Pacific Visitor Forecasts 2016-2020. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on May, 2016] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report] Link: https://pata.org/store/publications/asia-pacific-visitor-forecasts-2016-2020/.

  4. PATA and PolyU (2015). Asia Pacific Visitor Forecasts 2015-2019. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on May, 2015] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report].Link: http://www.patastore.com/asia-pacific-visitor-forecasts-2015-2019/ [Research Associate]

  5.  PATA and PolyU (2014). Asia Pacific Visitor Forecasts 2014-2018. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's (PolyU) School of Hotel and Tourism Management (SHTM). [Completed on June 20, 2014] [Key project assistant in realizing automatic modeling and forecasting procedure, conducting data analysis, and writing final report]. Link: http://www.patastore.com/asia-pacific-visitor-forecasts-2014-2018/ [Research Associate]

  6. PATA and PolyU (2013). Asia Pacific Visitor Forecasts 2013-2017. Available at: http://www.patastore.com/asia-pacific-visitor-forecasts-2013-2017/. The Pacific Asia Travel Association (PATA) and The Hong Kong Polytechnic University's School of Hotel and Tourism Management (PolyU). [Project contact person and team leader with the main responsibility of realizing automatic modeling and forecasting procedure via R program, conducting data analysis, and writing final report]. Link: http://www.patastore.com/asia-pacific-visitor-forecasts-2013-2017-digital/

  7. Tourist Satisfaction Index and Tourism Service Quality Index. (2013). Tourist Satisfaction Index and Tourism Service Quality Index (http://www.touristsatisfaction.org/). The Hong Kong Polytechnic University. March 2013 (34 pages). [Project assistant].

  8. HKTDFS. (2012). Updates of tourist arrival forecasts 2012 – 2020. Hong Kong Tourism Forecasting Report, Vol. 2 (4). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, June 2012 (46 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

  9. HKTDFS. (2010b). Tourist arrivals forecasts updates. Hong Kong Tourism Forecasting Report, Vol. 2 (3). The Hong Kong Polytechnic University, December 2010 (24 pages). [Project contact person and research assistant]. [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

  10. HKTDFS. (2010a). Tourism in Hong Kong Recovers from the Global Financial/Economic Crisis. Hong Kong Tourism Forecasting Report, Vol. 2 (2). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, March 2010 (31 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

  11. HKTDFS. (2009b). Forecasting the Demand for Hong Kong Tourism: The Views of Experts. Hong Kong Tourism Forecasting Report, Vol. 2 (1). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, October 2009 (26 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

  12. HKTDFS. (2009a). Global Financial Crisis and Demand for Hotel Rooms in Hong Kong. Hong Kong Tourism Forecasting Report, Vol. 1 (4). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, April 2009 (46 pages). [Project contact person and research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

  13. HKTDFS. (2008). Global Financial Crisis and Hong Kong Tourism Demand. Hong Kong Tourism Forecasting Report Vol. I (3). The Hong Kong Tourism Demand Forecasting System (HKTDFS), The Hong Kong Polytechnic University, December 2008 (40 Pages). [Research assistant].  [Link: http://158.132.104.67/hktdfs/home/project/document.jsp]

 

Degree Thesis

 Theses

  1. PhD thesis: Lin, S. (2013). Integrating statistical and judgmental tourism demand forecasting approaches: The case of Hong Kong (Supervisor: Prof. Haiyan Song), The Hong Kong Polytechnic University, Retrieved from http://repository.lib.polyu.edu.hk/jspui/handle/10397/6485?mode=full&submit_simple=Show+full+item+record
  2. Master thesis: Lin, S. (2008). Measuring and modeling poverty and income inequality in rural China − An empirical study using rural household survey data (Supervisor: Prof. Xuemei Bai, Level: Outstanding Master’s thesis), Dongbei University of Finance and Economics, China
  3. Bachelor thesis: Lin, S. (2006).Estimation on the scale of informal employment based on GM (1, 1) model: The case of Liaoning Province, China (Supervisor: Prof. Xuemei Bai, Level: Outstanding Bachelor’s thesis, First Prize Award on The 4th National Thesis Awards for BSc in Statistics), Dongbei University of Finance and Economics, China

Awards

 

Awards

  1. 201603: The 2nd Runner-up Award, Undergraduate Student Best Research Paper Award, granted by the 15th Asia Pacific Forum for Graduate Students Research in Tourism, "Determinants of China’s Household Tourism Expenditure: Evidence from the China Family Panel Studies” (Jinsong Wu and Shanshan Lin)

  2. 2014: Qiushi Young Scholar, Zhejiang University 

  3. 201306: The International Symposium on Forecasting (ISF) 2013 Travel Award, granted by the ISF 2013 committee

  4. 201301: Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system, Second place in the Journal Paper of the Year Award (IFITT Awards 2013), granted by IFITT @ENTER2013 Prizes and Awards

  5. 200901: Estimation on the scale of informal employment based on GM(1, 1) model: The case of Liaoning Province, China, First Prize Award on The 4th National Thesis Awards for BSc in Statistics, granted by The national statistics professional dissertation committee office

 

Student Thesis/Project Supervision

 Undergraduate Degree Thesis:

 

 2015.10-2016.5：

  1. Mr. Jinsong Wu，Determinants of China’s Household Tourism Expenditure: Evidence from the China Family Panel Studies (Full paper submitted to The 15th Asia Pacific Forum for Graduate Students Research in Tourism, Hong Kong, 16-19 May 2016) [Undergraduate Student Best Research Paper Award (2nd Runner-up award)]
  2. Mr. Yong Huang，Modeling and Forecasting Domestic Tourism Demand in China: A Study from Provincial Data using ARIMAX modeling approach
  3. Miss Siyi Wang，The Relationship between Economic Growth and Tourism Development in China
  4. Miss Yunyou Hou，An Empirical Study on the Impact of Air Pollution on China's Inbound and Domestic Tourism
 
2014.10-2015.5：
  1. Mr. Hang Ren，Perception of Online Guest Review Comments: Perspectives from High-tier Hotel Managers in China 
  2. Miss Huanhuan Song，Perception of Online Guest Review Comments 
  3. Miss Yuting Wang，The Role of Social Media on Online Tourism Information Search: A Case Study on The Application of WeChat Among 1990s of China (Submitted to The 21st Asia Pacific Tourism Association Annual Conference, Malaysia, 14-17 May, 2015)
  4. Miss Le Zhou，Impact of WeChat Marketing on Online Hotel Booking: The Case of Generation Y in China
  5. Miss Mudi Ma，The Impact of Air Pollution on China's Inbound Tourism Demand

 

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