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Predicting Factors Impact Traveller Behavior

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Predicting Factors Impact Traveller Behavior

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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-03-24

Predicting Factors Impact Traveller Behavior 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 2019-03-24 with Social Science categories.

ChapterTwoLifestyle factor influences travelbehaviorWhether do different countries tourists' different lifestyle which can influence their travel consumption behaviors? Even, which countries that they will choose to go to travel. For example, when one tourist who owns himself/herself often to drive to go to anywhere habitually. The tourist's driving car habital behavior which will influence that he /she will feel need to rent car to travel to anywhere habitually, when he/she selects to go to the country to travel. Hence, if he/she feels the tourism destination has no any rent car service providers to provide him/her to rent any car to travel anywhere in the country's travel destination. Does the country lack rent car service factor which will influence that he/she will still choose to go to the country to travel in preference? For example, when one New Zealander's family who own at least one car at home. So, the New Zealand whole family every member can often drive car to go to anywhere, even, one family member had driven one car to leave his/her home. So, driving own car activity or behavior has been one habitual activity to influence the New Zealand every member to feel the travelling destination needs have rent car service provider supplies cars to let them to rent to travel. The driving car lifestyle has caused the whole New Zealander family driving habit. When the family's sons) and/or daughter(s) need(s) to go to school or go to shopping as well as their parents also need to drive their cars to go to office to work in themselves home town often. In common, there are many New Zealanders who will have at least one car at home because they feel that they can drive their themselves cars to go to anywhere in New Zealand more than waiting bus or tram or train or ferry etc. public transportation tools more conveniently. So, New Zealanders' driving own car habit will influence their lifestyle to feel that they also need to rent cars to travel to go to any where to travel to replace to wait public transportation tools choice in the travelling destination during their journey.For shopping trips is more influenced by their driving car activities. So, it seems that this New Zealander families will be influenced to their tourism destination need, they need the tourism destination has car renting service provider to be supplied anywhere to let them can drive the renting cars to go to anywhere in tourism destination. It means that when the tourim destination has less rent car providers can provide renting car services to drive anywhere or it has none any renting car service providers are existing in the tourism destination. Then, the renting car service providers number shortage or none any renting car service providers to be provided to the country's tourism destination, which will cause the New Zealander families do not perfer to choose to go to the country to travel generally, e.g. Hong Kong, China, Korea these Asia countries have no many rent car service providers in these countries. So, the New Zealand families won't prefer to choose to go these countries to travel when they discover these Asia countries lack enough rent car service providers to let them to drive to travel in themselves conveniently. Otherwise, America, England, Japan etc. countries have many rent car service providers. So, these countries will be this New Zealander families' preferable tourism countries. Thus, the New Zealand families' driving ownership car lifestyle will influence their travel behaviors to choose to go to the country which can have many rent car providers in the tourism country any where tourism destinations in preference.

Predicting Fluctuation Impacts

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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-03-09

Predicting Fluctuation Impacts 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 2019-03-09 with Business & Economics categories.

Can transportation system factor influence tourist individual travelling desination decision? it depends on the tourist individual attitude or transport needs of decisions. For example, if the city , e.g. New York has many tourists, who are high income, young gender, high education level tourists. Then, they will choose more expensive and comforable train more than cheap and not comfortable bus transportation tool. So, I assume that the year has many high income, high education , high social class occupation tourists arrive US , New York city . Then, they will choose train more than bus transportation tool to go to anywhere to travel in New York city. So, it is not represent that the city has many cheaper public transportation tool, such as many buses number to be supplied , the bus public public transporation tool can bring more income to attract overseas tourists to come to New York travel. It depends on whether the tourist individual characteristics, e.g. high or low income, more or less comfortable transportion tool supplies needs or high or low educational level, alone tourist or family tourist or friend relationship tourist. Any one of these tourist individul psychological factors will influence the tourist to choose either cheap and less comfortable public tool system or expensive and more comfortable public tool system to be supplied to the city to travel. So, the city's comfortable or not comfortable public transportation tool supplies which will influence the overseas tourists how to choose the city to travel.However, on the tourist's habitual behavior of catching which kind of transportation tools, this factor will bring to influence how to choose the kind of transportation tool(s) whether the city can provide choice to let the overseas tourist to make where travelling decision when he/she arrives to the coutry. However, his/her transporatin tool catching habit will be possible to influenc whose travel times for public transport use, instead of which kind of transport tool(s) he/she will choose to catch when he/she arrives the country to travel. In conclusion, the tourist's age, income, occupation, education level will influence how the tourist's transportation choice in himself/herself country, then it also bring this question: will influence the tourist individual destination choice if the country can provide or can not provide the kind of public transportation tool(s) to let the tourist to choose to catch in his/her journey in the country's city. Hence, it explains that why every country's pubic transporation tool supplies will influence the tourist to choose where to travel in the country.4.1What are usually travel behaviorsand attitudes to disabled touristsWhat factors can affect the travel behaviors of people with disabilites by ages and lifestyle variable factors? When one person is disable, he/she will have different behaviors to satisfy whose needs in whose whole travelling journey. In special , the older age and younger age disable tourists who will have diffeent travelling needs. In fact, the disabled tourists won't easy to go anywhere travelling destinations in whose whole travelling journey. So, it seems that the travelling entertainment needs won't be very much to these younger or older disabled tourists. Moreover, people with disabilities travel will be compare with people without disabilities. So, it is one key to explain why the travelling entertainment purposes or needs to disable people which are lesser than the people without disabilities.

Can Past Travel Behaviour Predict Future Travel Behaviour

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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 Predicts Future Travel Behaviour Methods

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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2018-12-28

Past Travel Behaviour Predicts Future Travel Behaviour Methods 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 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.

Can Past Travel Behaviour Predict Future Travel Behaviour

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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.

How Artificial Intelligence Predicts Traveller Behavior

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Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2020-10-11

How Artificial Intelligence Predicts 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 2020-10-11 with categories.

Whether AI can predict climate change to 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.Tourism is a highly energy intensive industry and has only recently attracted attention as an important contributions to climate change through greenhouse gas emissions. It has been estimated that tourism contributes 5% of global carbon dioxide emissions. There have been a number of potential changes proposed for reducing the impact of air travel on climate change. These include technological changes, market based changes and behavioral changes. However, the role that climate change plays in the holiday and travel decisions of global tourists. How the global tourists of the impacts travel has on climate change to establish the extent to which climate change, considerations features in holiday travel decision making processes and to investigate the major barriers to global tourists adopting less carbon intensive travel practices. Whether tourists will aware the impacts that their holidays and travel have on climate changes.When, it comes to understand indvidual traveler's behavioral change, wide range of conceptual theories have been developed, utilizing various social, psychological, subjective and objective variables in order to model travel consumption behavior. These theories of travel behavioral change operate at a number of different levels, including the individual level, the interpersonal level and community level. Whether pro-environmental behavior can be used to predict travel consumption behavior in a climate change. However, the question of what determines pro-environmental behavior in such a complex one that it can not be visualized through one single framework or diagram.Despite the potentially high risk scenario for the tourism industry and the global environment, the tourism and climate change ought have close relationship. Whether what are the important factors and variables which can limit tourism? e.g. money, time, family problem, extreme hot or cold weather change, air ticket price, journey attraction etc. variable factors. Mention of holidays and travel were deliberately avoided in the recruitment process, so as not to create a connection factor to influence traveler's individual mind. However, the dismissal of alternative transportation modes can be conceived as either a structural barrier, in the sense that flying is perhaps the only realistic option to reach long-haul holiday destination, or a perceived behavioral control barriers in that an individual perceives flying as the only option open to whom. The transportation tool factor will be depend to extent on the distance to the destination. This can also be interpreted in a social perspective as an intention with the resources available where much international tourism is structured around flying. To

Artificial Intelligence How Predicts Traveller Psychology

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Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2020-05-16

Artificial Intelligence How Predicts Traveller Psychology 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 2020-05-16 with categories.

Future travel consumption behaviorCan (AI) big data gathering tool predict traveler individual habitual behavior , e.g. renting travel transportation tools ?Can (AI) big data gathering tool can predict past traveler destination and travelling package choice habit and it can be intended to predict of future traveler behavior to people are creatures of habits judgement of future anywhere travelling destination choice next year or next month or next half year destination prediction ? Many of human's everyday goal-directed behaviors are performed in a habitual fashion, the transportation made and route one takes to work, one's choice of breakfast. Habits are formed when using the some behavior frequently and a similar consistency in a similar context for the some purpose whether the individual past travel consumption model will be caused a habit to whom. e.g. choosing whom travel agent to buy air ticket or traveling package; choosing the same or similar countries' destinations to go to travel ; choosing the business class or normal (general) class of quality airlines to catch planes. Does habitual rent traveling car tools use not lead to more resistance to change of travel mode? It has been argued that past behavior is the best predictor of future behavior to travel consumption. If individual traveler's past consumption behavior was always reasoned, then frequency of prior travel consumption behavior should only have an indirect link to the individual traveler's behavior. It seems that renting travel car tools to use is a habit example. So, a strong rent traveling car tools useful habit makes traveling mode choice. People with a strong renting of traveling car tools of habit should have low motivation to attend to gather any information about public transportation in their choice of travelling country for individual or family or friends members during their traveling journeys. Even when persuasive communication changes the traveler whose attitudes and intention, in the case of individual traveler or family travelers with a strong renting travel car tools habit. It is difficult to change whose travel behaviors to choose to catch public transportation in whose any trips in any countries. However, understanding of travel behavior and the reasons for choosing one mode of transportation over another. The arguments for rent traveling car tools to use, including convenience, speed, comfort and individual freedom and well known. Increasingly, psychological factors include such as, perceptions, identity, social norms and habit are being used to understand travel mode choice. Whether how many travel consumers will choose to rent traveling car tools during their trips in any countries. It is difficult to estimate the numbers. As the average level of renting travel car tools of dependence or attitudes to certain travel package policies from travel agents. Instead different people must be treated in different ways because who are motivated in different ways and who are motivated by different travel package policies ways from travel agents.In conclusion, the factors influence whose traveler's individual traveler destination choice behavior The factors include either who chooses to rent traveling car tools or who chooses to catch public transportation when who individual goes to travel in alone trip or family trip. It include influence mode choice factors, such as social psychology factor and marketing on segmentation factor both to influence whose transportation choice of behavior in whose trip. So, (AI) big data can be attempted to gather past traveler transportation tool choice, rent travelling car tools choice or catching public transportation tools choice to predict where destination can provide what kind of transportation tool to attract many travelers to choose to go to the place to travel.

Past Travel Behaviour Predict Future Travel Behaviour Method

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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.

Demand And Supply Theory Predicts

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Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2020-01-30

Demand And Supply Theory Predicts 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 2020-01-30 with categories.

Future traveller tourism entertainment packagechoice Whether individual habitual behaviour can influence travelling behaviour: e.g. renting travel transportation toolsWhether habit can be intended to predict of future travel behavior to people are creatures of habits. Many of human's everyday goal-directed behaviors are performed in a habitual fashion, the transportation made and route one takes to work, one's choice of breakfast. Habits are formed when using the some behavior frequently and a similar consistency in a similar context for the some purpose whether the individual past travel consumption model will be caused a habit to whom. e.g. choosing whom travel agent to buy air ticket or traveling package; choosing the same or similar countries' destinations to go to travel; choosing the business class or normal (general) class of quality airlines to catch planes. Does habitual rent traveling car tools use not lead to more resistance to change of travel mode? It has been argued that past behavior is the best predictor of future behavior to travel consumption. If individual traveler's past consumption behavior was always reasoned, then frequency of prior travel consumption behavior should only have an indirect link to the individual traveler's behavior. It seems that renting travel car tools to use is a habit example. So, a strong rent traveling car tools useful habit makes traveling mode choice. People with a strong renting of traveling car tools of habit should have low motivation to attend to gather any information about public transportation in their choice of travelling country for individual or family or friends members during their traveling journeys. Even when persuasive communication changes the traveler whose attitudes and intention, in the case of individual traveler or family travelers with a strong renting travel car tools habit. It is difficult to change whose travel behaviors to choose to catch public transportation in whose any trips in any countries. However, understanding of travel behavior and the reasons for choosing one mode of transportation over another. The arguments for rent traveling car tools to use, including convenience, speed, comfort and individual freedom and well known. Increasingly, psychological factors include such as, perceptions, identity, social norms and habit are being used to understand travel mode choice. Whether how many travel consumers will choose to rent traveling car tools during their trips in any countries. It is difficult to estimate the numbers. As the average level of renting travel car tools of dependence or attitudes to certain travel package policies from travel agents. Instead different people must be treated in different ways because who are motivated in different ways and who are motivated by different travel package policies ways from travel agents.In conclusion, the factors influence whose traveler's individual behavior either who chooses to rent traveling car tools or who chooses to catch public transportation when who individual goes to travel in alone trip or family trip. It include influence mode choice factors, such as social psychology factor and marketing on segmentation factor both to influence whose transportation choice of behavior in whose trip.

Artificial Intelligence Big Data Travelling Consumption Prediction Story

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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-03-08

Artificial Intelligence Big Data Travelling Consumption Prediction Story 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 2019-03-08 with Business & Economics categories.

Future travel consumption behaviorCan (AI) big data gathering tool predict traveller individual habitual behaviour, e.g. renting travel transportation tools ?Can (AI) big data gathering tool can predict past traveller destination and travelling package choice habit and it can be intended to predict of future traveller behavior to people are creatures of habits judgement of future anywhere travelling destination choice next year or next month or next half year destination prediction ? Many of human's everyday goal-directed behaviors are performed in a habitual fashion, the transportation made and route one takes to work, one's choice of breakfast. Habits are formed when using the some behavior frequently and a similar consistency in a similar context for the some purpose whether the individual past travel consumption model will be caused a habit to whom. e.g. choosing whom travel agent to buy air ticket or traveling package; choosing the same or similar countries' destinations to go to travel; choosing the business class or normal (general) class of quality airlines to catch planes. Does habitual rent traveling car tools use not lead to more resistance to change of travel mode? It has been argued that past behavior is the best predictor of future behavior to travel consumption. If individual traveler's past consumption behavior was always reasoned, then frequency of prior travel consumption behavior should only have an indirect link to the individual traveler's behavior. It seems that renting travel car tools to use is a habit example. So, a strong rent traveling car tools useful habit makes traveling mode choice. People with a strong renting of traveling car tools of habit should have low motivation to attend to gather any information about public transportation in their choice of travelling country for individual or family or friends members during their traveling journeys. Even when persuasive communication changes the traveler whose attitudes and intention, in the case of individual traveler or family travelers with a strong renting travel car tools habit. It is difficult to change whose travel behaviors to choose to catch public transportation in whose any trips in any countries. However, understanding of travel behavior and the reasons for choosing one mode of transportation over another. The arguments for rent traveling car tools to use, including convenience, speed, comfort and individual freedom and well known. Increasingly, psychological factors include such as, perceptions, identity, social norms and habit are being used to understand travel mode choice. Whether how many travel consumers will choose to rent traveling car tools during their trips in any countries. It is difficult to estimate the numbers. As the average level of renting travel car tools of dependence or attitudes to certain travel package policies from travel agents. Instead different people must be treated in different ways because who are motivated in different ways and who are motivated by different travel package policies ways from travel agents.In conclusion, the factors influence whose traveler's individual traveller destination choice behavior The factors include either who chooses to rent traveling car tools or who chooses to catch public transportation when who individual goes to travel in alone trip or family trip. It include influence mode choice factors, such as social psychology factor and marketing on segmentation factor both to influence whose transportation choice of behavior in whose trip. So, (AI) big data can be attempted to gather past traveller transportatin tool choice, rent travelling car tools choice or catching public transportation tools choice to predict where destinaton can provide what kind of transportation tool to attract many travellers to choose to go to the place to travel.

Predicting Factors Impact Traveller Behavior

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