The column focusses on the question: Does the fact that we are co-molded by our digital twins - our quantified self, our abstract existence created by BigTech for advertisers, government agencies, etc. - also mean that some of our individuality and uniqueness is being taken away from us? The answer is yes!
MULTIFILE
Travel-related attitudes and dissonance between attitudes and the characteristics of the residential built environment are believed to play an important role in the effectiveness of land use policies that aim to influence travel behaviour. To date, research on the nature and directions of causality of the links between these variables has been hindered by the lack of longitudinal approaches. This paper takes such an approach by exploring how people across different population groups adjust their residential environments and attitudes over time. Two latent class transition models are used to segment a population into consonant and dissonant classes to reveal differences in their adjustment process. Interactions between (1) the distance to railway stations and travel-mode-related attitudes and (2) the distance to shopping centres and the importance of satisfaction with these distances are modelled. The models reveal mixed patterns in consonant and dissonant classes at different distances from these destinations. These patterns remain relatively stable over time. People in more dissonant classes generally do not have a higher probability of switching to more consonant classes. People adjust their built environments as well as their attitudes over time and these processes differ between classes. Implications for policies are discussed.
LINK
The section - Travel Psychology - contains 3 chapters. Chapter 1 starts by listing different types of travel constraints facing all citizens. For travelers who negotiate their travel constraints and are able to travel, two seminal models for tourism motivations are reviewed. First, the pull and push factors are mentioned along with examples. In a second model, travel motivations are categorized into traveling to gain something and, travelling to get away from something.After reviewing various travel constraints and motivations, Chapter 1 continues by discussing how travelers’ mood and tendencies at any given time could affect the type of travel destination they pursue – historical vs. natural vs. manmade; warm vs. cold; urban vs. country; crowded vs. quiet; familiar vs. novel vs arousing; and, the type of experiences and activities travelers pursue on their vacation. Also, the relationship between less dynamic personality traits and travel decision-makings are discussed: who to travel with, where to stay, what to do; perceived risks; and information seeking behavior. Chapter 1 ends by discussing how travel service providers could play a significant role in helping customers make more informed and authentic decisions that would eventually feed their psychological needs, wants, and wellbeing. This wellbeing perspective to travel is contrasted with a service quality and money-driven perspective in tourism industry and research. Chapter 2 starts by reviewing the fundamentals of the science of positive psychology, defining wellbeing, happiness, and quality of life, and how tourism could be accounted as one element linked to all the above. A page is dedicated to memorable tourism experiences and its different dimensions such as hedonic and eudaimonic experiences, and how some of these memorable experiences positively impact travelers’ subjective wellbeing. In the core of chapter 2, travelers’ diverse needs are discussed under: (a) physiological needs such as quality and attractive local food and drinks, physical activity, and adequate sleep on vacations; (b) mental needs including topics such as expressing emotions before, during, and after vacation, causes and fluctuations of emotions; mood regulations on vacations; mindfulness; technology use; stress recovery mechanisms during vacations namely relaxation, detachment, control, mastery; and optimal challenge and flow states for individuals and group of travelers; (c) interpersonal needs of the traveler including interaction with host community, service providers, and other travelers, e.g., joint experiences of romantic partners and family members. Throughout chapter 2, how service providers and experience designers could more effectively monitor, identify, and address these physiological, mental, and social needs are thoroughly discussed. Moreover, evidence and research-based travel tips are offered to general travelers for observing, attending to, appreciating, and enhancing positive emotions during the anticipation phase of a vacation, during the actual trip, on the way home, and up to two weeks post-vacation. A small section at the end of Chapter 2 is devoted to the psychology of holidays and staycations for employees with stressful jobs. Chapter 3 discusses how small occasions during vacations can accumulate and sometimes have long-term psychological effects on travelers. This chapter reviews the psychological of souvenirs, savoring, and photography on vacations. It continues by talking about the concepts of self-awareness, learning, growth, meaning and transformation, related to vacations, using examples. Chapter 3 ends by encouraging travel planners and designers to invest in long-term benefits of vacations.This handbook contains a total of 42 chapters on a range of topics aimed at educating employees at tourism service providers in Iran. This book is in press and distribution, and will be the official source for the national exam for the national travel agency certification in Iran. Topics of this book include the following: tour design and operations, travel psychology, air travel, tour marketing, human resource management, accounting, travel technology, travel start-ups, strategic management, and ethics.
DOCUMENT
The maximum capacity of the road infrastructure is being reached due to the number of vehicles that are being introduced on Dutch roads each day. One of the plausible solutions to tackle congestion could be efficient and effective use of road infrastructure using modern technologies such as cooperative mobility. Cooperative mobility relies majorly on big data that is generated potentially by millions of vehicles that are travelling on the road. But how can this data be generated? Modern vehicles already contain a host of sensors that are required for its operation. This data is typically circulated within an automobile via the CAN bus and can in-principle be shared with the outside world considering the privacy aspects of data sharing. The main problem is, however, the difficulty in interpreting this data. This is mainly because the configuration of this data varies between manufacturers and vehicle models and have not been standardized by the manufacturers. Signals from the CAN bus could be manually reverse engineered, but this process is extremely labour-intensive and time-consuming. In this project we investigate if an intelligent tool or specific test procedures could be developed to extract CAN messages and their composition efficiently irrespective of vehicle brand and type. This would lay the foundations that are required to generate big data-sets from in-vehicle data efficiently.
This project extends the knowledge and scope of carbon footprinting in tourism. Currently, the carbon footprint of holidaymakers is available as time-series based on the CVO (Continue Vakantie Onderzoek) for the years 2002, 2005 and all between 2008 and 2018. For one year, 2009, a report has also been written about inbound tourism. The carbon footprint of business travel has not been determined, whereas there has been considerable interest throughout the years from businesses to assess and mitigate their travel footprints. There is also increasing policy attention for travel footprints. In 2018, a modified setup of the CVO caused the need to revise our statistical model and correction factors to be developed to counter the potential effects of a trend-breach. The project aimed to check and improve the current syntax for Dutch holidaymakers, adjust the one for inbound tourism, and develop a new one for Dutch business travel. The project output includes a report on the carbon footprint of Dutch holidaymakers for 2018, on inbound tourism for 2014, and on Dutch business travel for 2016, based on the CVO, inbound tourim dataset, and CZO. The project ends with a workshop with stakeholders to identify the way forward in tourism carbon footprinting in the Netherlands (tools, applications, etc.)Project partners: NRIT Research, NBTC-NIPO Research, CBS
The projectThe overarching goal of DIGNITY, DIGital traNsport In and for socieTY, is to foster a sustainable, integrated and user-friendly digital travel eco-system that improves accessibility and social inclusion, along with the travel experience and daily life of all citizens. The project delves into the digital transport eco-system to grasp the full range of factors that might lead to disparities in the uptake of digitalised mobility solutions by different user groups in Europe. Analysing the digital transition from both a user and provider’s perspective, DIGNITY looks at the challenges brought about by digitalisation, to then design, test and validate the DIGNITY approach, a novel concept that seeks to become the ‘ABCs for a digital inclusive travel system’. The approach combines proven inclusive design methodologies with the principles of foresight analysis to examine how a structured involvement of all actors – local institutions, market players, interest groups and end users – can help bridge the digital gap by co-creating more inclusive mobility solutions and by formulating user-centred policy frameworks.The objectivesThe idea is to support public and private mobility providers in conceiving mainstream digital products or services that are accessible to and usable by as many people as possible, regardless of their income, social situation or age; and to help policy makers formulate long-term strategies that promote innovation in transport while responding to global social, demographic and economic changes, including the challenges of poverty and migration.The missionBy focusing on and involving end-users throughout the process of designing policies, products, or services, it is possible to reduce social exclusion while boosting new business models and social innovation. The end result that DIGNITY is aiming for is an innovative decision support tool that can help local and regional decision-makers formulate digitally inclusive policies and strategies, and digital providers design more inclusive products and services.The approachThe DIGNITY approach combines analysis with concrete actions to make digital mobility services inclusive over the long term. The approach connects users’ needs and requirements with the provision of mobility services, and at the same time connects those services to the institutional framework. It is a multi-phase process that first seeks to understand and bridge the digital gap, and then to test, evaluate and fine-tune the approach, so that it can be applied in other contexts even after the project’s end.Partners: ISINNOVA (Italy), Mobiel 21 (Belgium), Universitat Politechnica deCatalunya Spain), IZT (Germany), University of Cambridge (UK), Factualconsulting (Spain), Barcelona Regional Agencia (Spain), City of Tilburg(Netherlands), Nextbike (Germany), City of Ancona (Italy), MyCicero (Italy),Conerobus (Italy), Vlaams Gewest (Belgium)
