Can Past Travel Experience Predict
DOWNLOAD
Download Can Past Travel Experience Predict PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Can Past Travel Experience Predict book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Can Past Travel Experience Predict
DOWNLOAD
Author : John Lok
language : en
Publisher:
Release Date : 2023-08-18
Can Past Travel Experience Predict written by John Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-18 with categories.
Nowadays, global travelling entertainment activities are popular. Some travellers like domestic travelling or some travellers like to catc airplanes to go to other countries travel. In consumer behavioral view point, when the consumer discovers the product's price is higher than the another product's price. Then, he/she will usually to choose to buy the cheaper product, such as travel agent travelling entertainment activities arrangement service case, whether the travelling provider charges higher travelling entertainment activities arrangement service fee to compare the another similar travelling entertainment activities arrangement service provider. Does this travelling entertainment activities similar fee comparison factor influence any travellers choose to find the cheaper travelling entertainment activities arrangement provider? If travelling entertainment activities arrangement price is not the main factor to influence traveller individual choice. What other factors can influence traveller individual travelling entertainment activities arrangement choice? I shall explain what the other factors are influcenced traveller individual travelling entertainment arrangement choice. The factors include that the cultural distance on satisfaction and travel intention factor, the lifestyle concept in travel behavioral factor, the business travellers motivation behavioral factor, the impacts of peer-to-peer accommodation use on travel patterns factor, factors influence local tourists decision-making be on choosing a destination factor, transportation, shopping centers, travelling destination facilities supplying factor, social media travelling networking sites promotion factor, traveller's travelling experience psychological factor, travelling service for disabled people's travelling need factor, green travel entertainment service for environment protection travelling environment need factor the impact of travel blogging on the tourist, traveller individual vacation destination choice factor, economic impact to the traveller individual sudden changing factor. Therefore, it brings these questions: How any why traveller individual travelling choice won't be influenced by travelling entertainment service price only? Does it mean the travelling entertainment service providers will not reduce their traveller number when they can respect or consider above factors to avoid to bring negative influence to traveller consumers, but they still change higher travelling entertainment arrangement service fee to them? This first part, I shall indicate education industry how and why can apply behavioral economic method raise student individual interest to learn. I shall indicate these several aspects to explain the reasons. They include how to apply behavioral economic methods to solve classroom management discipline in order to let student individual to raise learning interest in the classroom; how successful persuasive teaching method can raise student individual learning behavior; how effective school management behavior can raise student learning interest and how to improve financial education effectiveness which can raise student learning interest. However, I shall indicate evidences to explain how and why above these methods can persuade students to change their learning attitude to feel more interest to learn in schools. This book is suitable to teachers and educational psychologists and educational researching students to study. Therefore, it brings these questions: How any why traveller individual travelling choice won't be influenced by travelling entertainment service price only? Does it mean the travelling entertainment service providers will not reduce their traveller number when they can respect or consider above factors to avoid to bring negative influence to traveller consumers, but they still change higher travelling entertainment arrangement service fee to them?
Past Travel Behaviour Predicts Future Travel Behaviour
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-12-28
Past Travel Behaviour Predicts Future Travel Behaviour written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with categories.
How to determine future travel behavior from past travel experience and perceptions of risk and safety for the benefits to travel consumers? How to determine future travel behavior from past travel experience and perceptions of risk and safety for the benefits to travel consumers? Why does individual traveler avoid certain destination(s) is(are) as relevant to tourist decision making as why who chooses to travel to others. Perceptions of risk and safety and travel experience are likely to influence travel decisions. If travel agents had efforts to predict future travel behavior to guess whether travelers will feel where is(are) risk and unsafe to cause who does not choose to go to the country to travel. Then, the travel agents will avoid to choose to spend much time to design the different traveling package to attract their potential travel consumers to choose to travel. The reason is because in the case of individual traveler's tourism experience, the traveler whose past disappointment travel experience ( psychological risk) will be a serious threat to the traveler's health or life ( health, physical or terrorism risk). The past safety or unhealthy risk to the country(countries) will influence the traveler decides to choose not to go to the countries(country) to travel again in the future.What is push and pull factors to influence anytraveler who chooses where is whose preferable travelling destinationHow to predict individual traveler's behavioral intention of choosing a travel destination. Understanding why people travel and what factors influence their behavioral intention of choosing a travel destination is beneficial to tourism planning and marketing. In general, an individual's choice of a travel destination into two forces. The first force is the push factor that pushes an individual away from home and attempt to develop a general desire to go somewhere, without specifying where that may be. The other force is the pull factor that pull an individual toward in destination, due to a region-specific or perceived attractiveness of a destination. The respective push and pull factors illustrate that people travel because who are pushed by whose internal motives and pulled by external forced of a destination. However, the decision making process leading to the choice of a travel destination is a very complex process. For example, a Taiwanese traveler who might either choose new travel destination of Hong Kong or another old travel Asia destinations again or who also might choose any one of Western country, as a new travel destination. The travel agents can predict where who will have intention to choose to travel from whose past behavior and attitude, subjective and perceived behavioral control model.The factors influence where is the traveler choice, include personal safety, scenic beauty, cultural interest, climate changing, transportation tools, friendliness of local people, price of trip, trip package service in hotels and restaurants, quality and variety of food and shopping facilities and services etc. needs. So, whose factors will influence where is the individual travel's choice. It seems every traveler whose choice of travel process, will include past behavior. e.g. travelling experience, travelling habit, then to choose the best seasoned travelling action to satisfy whose travel needs. This process is the individual traveler's psychological choice process, who must need time to gather information to compare concerning of different travel packages, destination scene, climate change, transportation tools available to the destination, air ticket price etc. these factors, then to judge where is the best right destination to travel in the right time.
Learning Big Data Gathering To Predict
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-10-08
Learning Big Data Gathering To Predict written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with categories.
IS (AI) big data gathering method a better psychological method to compare human marketing research method predict travel behavioral consumption? On the psychological view point, I think individual traveler's character will have those kind of personal characteristics. First, simplicity searchers value above everything ease not transparency in their travel planning and holiday making, and are willing to avoid having to go through extensive research. Second, cultural purists use their travel as an opportunity to immerse themselves in an unfamiliar looking to break themselves entirely from their home lives and engage. Sincerely with a different way of living. Third, social capital seekers understand that to be well travelled is a personal quality, and their choices are shaped by their desire to take maximum of social reward from their travel. They will exploit the potential of digital media to enrich and inform their experiences, and structure their adventures always keeping in mind they are being watched by online audiences. Finally, reward hunters seek a return on the investment who make in their busy , high-achieving lives. Linked in part to the growing trend of wellness, including both physical and mental self-improvement who seek truly extraordinary and often indulgent or luxurious' must have experiences. Why needs to know the personal character of individual traveler's characteristics? Because if travel agents could feel which kinds of individual traveler's character, then who can predict which kind of travel package to design to them more easily. For example, how to determine future travel behavior from past travel experience and perceptions of risk and safety? We need to concern that the influences of past international travel experience, types of risk associated with international travel and the overall degree of safety feeling during international travel on individual's travelling experiences likelihood of travelling to various geographic regions on their next international vacation trip or avoidance of those regions, due to perceived risk. Because individual traveler's experience of safety risk degree to the countries, it will influence who chooses to go to the countries/country to travel again. Why travelers avoid certain destinations are as relevant decision making as why who choose to go to the country(countries) to travel. Perceptions of risk and safety and travel experiences are likely to influence travel decisions; efforts to predict future travel behavior can benefit to individual tourist's decision making.
Can Past Travel Behaviour Predict Future Travel Behaviour
DOWNLOAD
Author : Johhy Lok
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-01-24
Can Past Travel Behaviour Predict Future Travel Behaviour written by Johhy Lok and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-24 with categories.
I write this book aim to let readers to judge whether it is possible to predict future travel behaviour from past travel behaviour for travel agents benefits. This book is divided three parts. This book is suitable to any readers who have interest to predict any individal or family or friend groups of travel target's psychological mind to design the different suitable travel packages to satisfy their needs. In the first part, I shall explain whether it is possible to predict travel behavioural consumption from psychology view and computer statistic view. Second, I shall indicate what factors can influence travel behavioural consumption, such as climate changing, renting travel car tools choice, the country's risk and safety. Then I shall indicate psychological factor to influence travel behavioural consumption, such as: push and pull psychological factor, expectation and motivation and attitude factor. In the second part, I shall general investigating methods to predict travel behavioural consumption, such as qualitative of travel behavioural method, advanced traveler information systems (ATIS) method, online tourism sale channel method, actively based patterns of urban population of travel behavioural prediction method, trip based versus activity based approaches of method. In the final part, I shall explain why the future travel age target will be the senior age group and I shall indicate how to use psychological method to predict travel behavioral consumption.
Past Travelling Experience Predicts Future
DOWNLOAD
Author : John Lok
language : en
Publisher:
Release Date : 2022-05-06
Past Travelling Experience Predicts Future written by John Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Travel categories.
Nowadays, global travelling entertainment activities are popular. Some travellers like domestic travelling or some travellers like to catc airplanes to go to other countries travel. In consumer behavioral view point, when the consumer discovers the product's price is higher than the another product's price. The factors include that the cultural distance on satisfaction and travel intention factor, the lifestyle concept in travel behavioral factor, the business travellers motivation behavioral factor, the impacts of peer-to-peer accommodation use on travel patterns factor, factors influence local tourists decision-making be on choosing a destination factor, transportation, shopping centers, travelling destination facilities supplying factor, social media travelling networking sites promotion factor, traveller's travelling experience psychological factor, travelling service for disabled people's travelling need factor, green travel entertainment service for environment protection travelling environment need factor the impact of travel blogging on the tourist, traveller individual vacation destination choice factor, economic impact to the traveller individual sudden changing factor.
Can Past Travel Behaviour Predict Future Travel Behaviour
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-01-11
Can Past Travel Behaviour Predict Future Travel Behaviour written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-11 with categories.
I write this book aim to let readers to judge whether it is possible to predict future travel behaviour from past travel behaviour for travel agents benefits. This book is divided three parts. This book is suitable to any readers who have interest to predict any individal or family or friend groups of travel target's psychological mind to design the different suitable travel packages to satisfy their needs.In the first part, I shall explain whether it is possible to predict travel behavioural consumption from psychology view and computer statistic view. Second, I shall indicate what factors can influence travel behavioural consumption, such as climate changing, renting travel car tools choice, the country's risk and safety. Then I shall indicate psychological factor to influence travel behavioural consumption, such as: push and pull psychological factor, expectation and motivation and attitude factor. In the second part, I shall general investigating methods to predict travel behavioural consumption, such as qualitative of travel behavioural method, advanced traveler information systems (ATIS) method, online tourism sale channel method, actively based patterns of urban population of travel behavioural prediction method, trip based versus activity based approaches of method. In the final part, I shall explain why the future travel age target will be the senior age group and I shall indicate how to use psychological method to predict travel behavioral consumption. In the first part, I shall explain whether it is possible to predict travel behavioural consumption from psychology view and computer statistic view. Second, I shall indicate what factors can influence travel behavioural consumption, such as climate changing, renting travel car tools choice, the country's risk and safety. Then I shall indicate psychological factor to influence travel behavioural consumption, such as: push and pull psychological factor, expectation and motivation and attitude factor. In the second part, I shall general investigating methods to predict travel behavioural consumption, such as qualitative of travel behavioural method, advanced traveler information systems (ATIS) method, online tourism sale channel method, actively based patterns of urban population of travel behavioural prediction method, trip based versus activity based approaches of method. In the final part, I shall explain why the future travel age target will be the senior age group and I shall indicate how to use psychological method to predict travel behavioral consumption.
Past Travel Behaviour Predict Future Travel Behaviour Method
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-05-21
Past Travel Behaviour Predict Future Travel Behaviour Method written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-21 with categories.
Chapter OneWhat factors can influence travel behavioural consumptionPrediction travel behavioral consumption from psychology view and computer statistic view. How to predict travel consumption? It is one question to any travel agents concern to use what methods which can predict how many numbers of travelers where who will choose to go to travel more accurately. I think that who can consider how to predict travel behavioral consumption from psychology view and computer science view both. On the psychology view, It has evidence to support the relationship between self-identify threat and resistance to change travel behavior to any travelers, controlling for whose past travelling behavior, resistance to change if a psychological phenomenon of long standing interest in many applied branches of psychology. Past travelling behavior has been acknowledged as a predictor of future action. Such as travelling behavior that is experienced as successful is likely to be repeated and may lead to habitual patterns. Some psychologists differentiate habit between two concepts, such as goal oriented and automatic oriented both. Although repeated past travelling behavior is addition goal oriented and automatic oriented. Further non-deliberative nature of habit may make appeals to judge and to predict future individual traveler's behaviour accrately. However, repeated travelling behavior without a necessary constraint of goal orientation and automatic oriented both. So, it seems that psychological factor can influence any individual traveler why and how who choose to decide whose travelling behaviour. On the computer statistic view, structural equation modeling is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980 year. It is a software method to handle a large number of variables, as well as unobserved variables specified as linear combinations ( weighted averages) of the observed variable.Whether climate change can influence travelling behaviours. The flexibility of human travelling behavior is at least the result of one such mechanism, our ability to travel mentally in time and entertain potential future. Understanding of the impacts is holidays, particularly those involving travel. Using focus groups research to explores tourists' awareness of the impacts of travel own climate change, examines the extent to which climate change features in holiday travel decisions and identifies some of the barriers to the adoption of less carbon intensive tourism practices. The findings suggest many tourists don't consider climate change when planning their holidays. The failure of tourists to engage with the climate change to impact of holidays, combined with significant barriers to behavioral change, presents a considerable challenge in the tourism industry.
Big Data Prediction Traveller Behavior
DOWNLOAD
Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2019-11-22
Big Data Prediction Traveller Behavior written by Johnny Ch Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-22 with categories.
The second reason is that on the weakness of traveler individual psychological thinking view of survey investigation. It has evidence to support the relationship between self-identify threat and resistance to change travel behavior to any travelers, controlling for whose past travelling behavior, resistance to change if a psychological phenomenon of long standing interest in many applied branches of psychology. Past travelling behavior has been acknowledged as a predictor of future action. Such as travelling behavior that is experienced as successful is likely to be repeated and may lead to habitual patterns. Some psychologists differentiate habit between two concepts, such as goal oriented and automatic oriented both. Although repeated past travelling behavior is addition goal oriented and automatic oriented. Further non-deliberative nature of habit may make appeals to judge and to predict future individual traveler's behavior accurately. However, repeated one traveler will choose the destination to repeat to travel without a necessary constraint of goal orientation and automatic oriented both. So, it seems that psychological factor can influence any individual traveler why and how who choose to decide to repeat to choose the destination to travel. So, survey investigation is only the traveler's thinking to answer the travel firm. It is not sure that the traveler's past travel experience is real answer. Otherwise, (AI) big data gathering method is computer gathering method which gather past traveler consumption actual data to analyze and conclude future traveler possible repeated travel destination choice and travel package choice more accurate.The third reason is that on the strength of (AI) big data gathering method computer statistic view to predict future traveller consumer's destination and travel package choice. It is structural equation modeling is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980 year. It is a software method to handle a large number of variables, as well as unobserved variables specified as linear combinations ( weighted averages) of the observed variable. Can (AI) big data gather data to predict when climate will change to influence poor travelling behaviours?
Artificial Intelligence
DOWNLOAD
Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2019-03-30
Artificial Intelligence written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-30 with categories.
eds to know the personal character of individual traveler's characteristics. Because if travel agents could feel which kinds of individual traveler's character, then who can predict which kind of travel package to design to them more easily. For example, how to determine future travel behaviour from past travel experience and perceptions of risk and safety? We need to concern that the influences of past international travel experience, types of risk associated with international travel and the overall degree of safety feeling during international travel on individual's travelling experiences likelihood of travelling to various geographic regions on their next international vacation trip or avoidance of those regions, due to perceived risk. Because individual traveler's experience of safety risk degree to the countries, it will influence who chooses to go to the countries/country to travel again. Why travellers avoid certain destinations are as relevant decision making as why who choose to go to the country(countries) to travel. Perceptions of risk and safety and travel experiences are likely to influence travel decisions; efforts to predict future travel behaviour can benefit to individual tourist's decision making. As Weber & Bottorn (1989) defined risky decision is as "choices among alternatives that can be described by prodability distributions over possible outcomes" (p.114). Some psychologists judge subjective perceptions of physical reality, i.e. image of a particular tourist destination, whereas value judgement refers to the way individual rank destinations according to whose attributes. i.e. attractiveness, safety, risk etc. factors to form on overall image. So, if the individual traveler had unhappy and worried and unsafe experiences to go to where the place(country) to travel during whose vacation time before. Then, this negative travel experience will influence who is afraid to go to the place ( country) to travel again. Risk of place, country, destination or region means the danger is relatively high to the place, ie. increasing in airplane accidents, crime or terrorist activity targeting citizens of potential traveler's nationality or the probability of occurrence is great , ie. recent occurrences involving travel regions/destinations under consideration or effective actions to control consequences exist. i.e. selecting safe regions and destinations, taking extra precautions when traveling to risky destinations. These risk factors will influence the individual traveler who chooses to cancel travel plan to go to the country again.Another interesting research, how to predict behavioural intention of choosing a travel destination, which has focus of toursm research for years, but the complex decision making process leading to the choice of a travel destination has not been well researched. The planned behaviour model using its core constructs, attitude, subjective norm and perceived behavioural control, with the addition of the past behavioural variable on behavioural intention of choosing a travel destination.
Artificial Intelligence Brings Social Influences
DOWNLOAD
Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2021-03-25
Artificial Intelligence Brings Social Influences written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-25 with categories.
How to apply (AI) big data to predict individual traveler's behavioral intention of choosing a travel destination? Understanding why people travel and what factors influence their behavioral intention of choosing a travel destination is beneficial to tourism planning and marketing. In general, an individual's choice of a travel destination into two forces. The first force is the push factor that pushes an individual away from home and attempt to develop a general desire to go somewhere, without specifying where that may be. The other force is the pull factor that pull an individual toward in destination, due to a region-specific or perceived attractiveness of a destination. The respective push and pull factors illustrate that people travel because who are pushed by whose internal motives and pulled by external forced of a destination. However, the decision making process leading to the choice of a travel destination is a very complex process. For example, a Taiwanese traveler who might either choose new travel destination of Hong Kong or another old travel Asia destinations again or who also might choose any one of Western country, as a new travel destination. The travel agents can predict where who will have intention to choose to travel from whose past behavior and attitude, subjective and perceived behavioral control model. When (AI) big data gather past every country traveler number who chose to go to which countries to travel in order to judge where destinations will be the country travelers' travelling choice destinations in the future.The factors influence where is the traveler choice, include personal safety, scenic beauty, cultural interest, climate changing, transportation tools, friendliness of local people, price of trip, trip package service in hotels and restaurants, quality and variety of food and shopping facilities and services etc. needs. So, whose factors will influence where is the individual travel's choice. It seems every traveler whose choice of travel process, will include past behavior. e.g. travelling experience, travelling habit, then to choose the best seasoned travelling action to satisfy whose travel needs. This process is the individual traveler's psychological choice process, who must need time to gather information to compare concerning of different travel packages, destination scene, climate change, transportation tools available to the destination, air ticket price etc. these factors, then to judge where is the best right destination to travel in the right time. Hence, (AI) big data can gather past different countries' climate changing data, transportation tool changing data, destination scene environment changing etc. different data to give opinions to travelling businesses whether any country's these above factors will influence about how many traveler number will be increase or decrease in the future.2.3Why can expectation, motivation and attitude factor influence travelling behavior?Social psychology is concerned with gaining insight into the psychological of socially relevant behaviors and the processes. For instance, on a global level bad influence to global warming, it influences some countries extreme cold or hot bad climate changing occurrence, then it ought influence some travelers' behavioral decision to change their mind to choose some countries to go to travel at the moment which do not occur extreme hot or cold climate ( temperature). e.g. above than 40 degree in summer or below than 0 degree in winter. Due to the extreme climate changing environment in the countries, it will cause them to feel uncomfortable to play during their trips. So, the global warming causes to climate changing factor will influence the numbers of travel consumption to be reduced possibly.