The effect of real-time crowding information on tourists’ procrastination of planned travel schedule

Chang, Jae Hyup; Lee, Chung Hun

doi:10.1016/j.jhtm.2023.06.001

Cited by 4 publications

(1 citation statement)

References 69 publications

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“…Real-time transport information systems (RTIS) assist commuters in making more informed decisions and improve the overall travel experience. For example, in Jeju province of South Korea, real-time information accessed via mobile devices was used to detect over-crowdedness at tourist destinations; this allows tourists to make a guided decision on whether to visit the destination or not; the study confirms that overcrowding is a significant determinant of visit intention [32]. RTIS are particularly advantageous when passenger load fluctuations occur.…”

Section: Real-time Information Systems For Transportationmentioning

confidence: 75%

Integrated Real-Time Information System for Public Commuting: Perspectives of Stakeholders in South Africa

Hlophe,

Afolayan,

Daramola

2024

IJTDI

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Decision-making while commuting in big cities is still challenging for many citizens in developing countries. The implementation of diverse transportation modes operating in silos combined with the inaccessibility of real-time travel information prevents commuters from these countries from making informed travel decisions. Commuters often have to choose the specific means of transport that will yield the highest value in terms of cost, safety, convenience, and timeliness among alternatives. This paper uses a case study of Cape Town in South Africa to explore stakeholders' perspectives on implementing an integrated real-time information system (IRIS) and the requirements that must be satisfied. We employed a qualitative methodology, utilising semi-structured interviews and codesign sessions as the means of data collection. Four categories of stakeholders associated with transportation, including taxis, trains, Bus Rapid Transit (BRT), and municipal buses, within the context of South Africa, participated in the study. The findings reveal that the commuters and the public transport operators agreed that challenges around socio-traffic incidents, infrastructure development, lack of technology resources and lack of real-time travel information are major concerns that must be addressed for successful IRIS implementation. Functional features, change management, data privacy, system integration and information sharing were the main priorities on the list of requirements. The study represents a first attempt at understanding the requirements of an IRIS from the stakeholders' perspective in the context of South Africa. It extends the discussion on using IRIS to support transportation in developing countries, which has received limited attention thus far in the literature. The study is relevant for developing futuristic policies, advanced infrastructure, and optimised service delivery in developing countries because it provides a good foundation for understanding the critical requirements for the design and development of IRIS.

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Section: Real-time Information Systems For Transportationmentioning

confidence: 75%

Integrated Real-Time Information System for Public Commuting: Perspectives of Stakeholders in South Africa

Hlophe,

Afolayan,

Daramola

2024

IJTDI

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Analysis of Emotional Tendency of Tourism Consumers Based on LSTM and Fuzzy Control Algorithm

Meng,

Ji,

Wang

2024

Int J Comput Intell Syst

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Learning the emotional tendency of travelers improves their interests and provide optimal traveling recommendations. This, however, requires large volumes of data such as travel plans, visit sites, personal interests, value for money, etc. for a detailed analysis. For ease of such analysis, in this article, an organized combinational control method (OC2M) is proposed. This method relies on conventional long short-term memory (LSTM) and fuzzy control (FC) to support such analysis. The first is responsible for filtering non-repeated data from the previous travel/ tour history reducing the data discreteness. This is organized non-recurrently to prevent outdated/ trivial data from influencing the consumer’s emotional learning. The FC process filters the adaptable data with the future tour/ travel plan for providing optimal recommendations that are liable to the consumer’s emotional tendency. This is identified based on the user's interest, preferences, and emotional connectivity with the place or plan from previous histories. Therefore, the proposed method improves the recommendation and validation tendencies of the consumer’s travel plan accordingly.

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Tourist preference for tourism product brand biographies

He,

Tu,

et al. 2024

Annals of Tourism Research

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The effect of real-time crowding information on tourists’ procrastination of planned travel schedule

Cited by 4 publications

References 69 publications

Integrated Real-Time Information System for Public Commuting: Perspectives of Stakeholders in South Africa

Integrated Real-Time Information System for Public Commuting: Perspectives of Stakeholders in South Africa

Analysis of Emotional Tendency of Tourism Consumers Based on LSTM and Fuzzy Control Algorithm

Tourist preference for tourism product brand biographies

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