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Reid, A., & Mino, P. (2021). When therapy goes public: copyright gatekeepers and sharing therapeutic artifacts on social media. International Journal of Communication.Search in Google Scholar
Sotiriadis, M. D. (2017). Sharing tourism experiences in social media. International Journal of Contemporary Hospitality Management, 29(1), 179-225.Search in Google Scholar
Hur, K., Kim, T. T., Karatepe, O. M., & Lee, G. (2017). An exploration of the factors influencing social media continuance usage and information sharing intentions among korean travellers. Tourism Management, 63(dec.), 170-178.Search in Google Scholar
Li, Y., Yang, L., Shen, H., & Wu, Z. (2019). Modeling intra-destination travel behavior of tourists through spatio-temporal Analysis. Journal of Destination Marketing and Management, 11.Search in Google Scholar
Han, Q., Novais, M. A., & Zejnilovic, L. (2021). Toward travel pattern aware tourism region planning: a big data approach. International Journal of Contemporary Hospitality Management, ahead-of-print (ahead-of-print).Search in Google Scholar
Arif, A. S. M., & Du, J. T. (2019). Understanding collaborative tourism information searching to support online travel planning. Online Information Review, 43(3), 369-386.Search in Google Scholar
Vareiasanastasios, D., Repoussispanagiotis, P., & Tarantilischristos, D. (2017). Assessing customer service reliability in route planning with self-imposed time windows and stochastic travel times. Transportation Science.Search in Google Scholar
Throndsen, William, Berker, & Thomas. (2017). Planning story lines in smart grid road maps (2010-2014): three types of maps for coordinated time travel. Journal of Environmental Policy & Planning.Search in Google Scholar
Maggioni, Francesca, Gobbato, Luca, Perboli, & Guido. (2017). A progressive hedging method for the multi-path travelling salesman problem with stochastic travel times. IMA journal of management mathematics, 28(1), 65-86.Search in Google Scholar
Hatamzadeh, Y. (2021). Working commuters’ tendency toward a travel pattern with potentially more walking: examining the relative influence of personal and environmental measures. Research in Transportation Economics(4), 101060.Search in Google Scholar
Yan, Y., Guo, T., & Wang, D. (2021). Dynamic accessibility analysis of urban road-to-freeway interchanges based on navigation map paths. Sustainability, 13.Search in Google Scholar
You, P. S., Chen, M. H., & Su, C. H. J. (2021). Travel agents tour selection and sightseeing bus schedule for group package tour planning. Tourism Economics, 27.Search in Google Scholar
Uclea, C. E., Vrnceanu, D. M., & Nstase, C. E. (2020). The role of social media in health safety evaluation of a tourism destination throughout the travel planning process. Sustainability, 12(16), 6661.Search in Google Scholar
Cheunkamon, E., Jomnonkwao, S., & Ratanavaraha, V. (2020). Determinant factors influencing thai tourists’ intentions to use social media for travel planning. Sustainability, 12(18), 7252.Search in Google Scholar
Huang, C. D., Goo, J., Nam, K., & Yoo, C. W. (2017). Smart tourism technologies in travel planning: the role of exploration and exploitation. Information & Management, 54(6), 757-770.Search in Google Scholar
Nath, A., Saha, P., & Salehi-Sangari, E. (2019). Blurring the borders between b2b and b2c: a model of antecedents behind usage of social media for travel planning. Journal of Business & Industrial Marketing, 34(50).Search in Google Scholar
Shi, S., Gong, Y., & Gursoy, D. (2021). Antecedents of trust and adoption intention toward artificially intelligent recommendation systems in travel planning: a heuristic–systematic model:. Journal of Travel Research, 60(8), 1714-1734.Search in Google Scholar
Bahbouh, K., Wagner, J. R., Morency, C., & Berdier, C. (2017). Travel demand corridors: modelling approach and relevance in the planning process. Journal of Transport Geography, 58(JAN.), 196-208.Search in Google Scholar
Llorca, C., Ji, J., Molloy, J., & Moeckel, R. (2018). The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. predicting the impacts of a new high speed rail corridor. Research in Transportation Economics, 72(DEC.), 27-36.Search in Google Scholar