While the relationship between daily travel and life satisfaction has been widely studied, its implications for transportation planning and policy remain significant. In this study, we extend the existing research by exploring how perceptions of accessibility via public transport influence both travel satisfaction and life satisfaction within a developing world context. A household travel survey was conducted in five neighborhoods of Lahore, Pakistan—encompassing both compact and sprawled areas—where 1,512 respondents provided retrospective insights into their daily travel satisfaction, perceived accessibility, and life satisfaction. Geographic coordinates of their travel destinations were collected and used to compute journey times through network analysis using the r5py library in Python. The direct and indirect effects of travel attributes, travel satisfaction, and perceived accessibility on life satisfaction were then analyzed using variance-based structural equation modeling with SMART PLS 4.0. Findings revealed that longer travel times were linked to lower levels of travel satisfaction, perceived accessibility, and life satisfaction. Additionally, in comparison to private modes of travel, active travel modes and public transportation were found to have more positive effects on travel satisfaction, perceived accessibility, and life satisfaction.

Linking the built environment, cognitive dissonance, and travel satisfaction in multimodal commuting

ABSTRACT We consider how post-travel behaviour towards food products from a destination is affected by formed and perceived food authenticity within the context of Japanese beef imports in Australia. This study provides evidence showing that travel satisfaction improves authenticity and purchase intention. However, post-travel sharing negatively moderates this relationship whilst the mechanism of symbolic substitution and the country-of-origin (COO) effects is limited. A discrete choice model of stated preference experiment data also shows that price and presentation formats are more important than COO when it comes to preference for imported vs locally produced product. The findings reconsider the assumption that authenticity leads to material consumption, emphasising the substitution of post-travel behaviour and variations of COO effects. This study proposes theoretical and practical implications for tourism and food marketing strategies.

ABSTRACT Nature tourism provides travellers with an escape from daily routines and supports their well being through immersion in natural surroundings. However, existing research provides limited insight into which motivations drive sustained satisfaction and repeat visits, thereby restricting the ability to design experiences that deliver lasting benefits. This study aims to address this gap by examining how distinct intrinsic and extrinsic motivations influence the impact of nature tourism experiences on tourists' travel satisfaction, life satisfaction, and willingness to revisit. A mixed-methods approach was adopted, incorporating qualitative insights of 35 nature tourists and quantitative time-lagged data from 439 nature tourists. The results indicate that, among intrinsic travel motives, the pursuit of nature enhances travel satisfaction, whereas health and existential fulfillment motives lack empirical support. Among extrinsic travel motives, destination attractiveness enhances travel satisfaction, while destination interactions have no significant impact. In turn, this heightened travel satisfaction raises life satisfaction and strengthens tourists' intentions to revisit nature-based destinations. These insights suggest that direct engagement with natural settings and destination attractiveness should be prioritised over less impactful motives, and more importantly, that enhancing travel satisfaction in this way leverages the power of nature tourism to improve life satisfaction and strengthen tourist loyalty to nature-based destinations.

This study examined how service quality dimensions (tangibility, responsiveness, reliability, assurance, and empathy) affect travelers’ happiness at Queen Alia International Airport (QAIA) in Jordan. Because of this, airports all over the world are competing fiercely to attract passengers. This healthy dose of healthy competition ensures that passengers are always satisfied with their airport experience. The study used a descriptive-analytical technique. This study targeted QAIA visitors. The study sample was convenience sampled by sending an electronic questionnaire to a large number of QAIA visitors and service users using Google Forms. After data collection, 339 questionnaires were recovered. After validity testing, 19 questionnaires were removed, and 320 were retained for statistical analysis. The Statistical Package for the Social Sciences (SPSS) was used to examine data. The study found that service quality (tangibility, responsiveness, reliability, assurance, empathy) significantly affected travelers’ satisfaction. The study advised airport administrators and officials to improve service quality, particularly tangibility and reliability. Standards and indicators to quantify and assess travelers’ satisfaction are needed to improve public services. The research emphasizes the critical need for the development of standardized metrics and indicators aimed at quantifying and assessing traveler satisfaction. This would facilitate ongoing improvements in public services at QAIA and contribute to a more positive and enjoyable experience for all travelers passing through the airport.

Abstract - Travelling in new places, especially in foreign places, is quite challenging. Language barriers, different cultures, local traditions, navigating trips, citing health, safety, and local food taste are the main factors that influence the experience for the traveler. The tourism sector is a key factor for the country's income and its Gross Domestic Product (GDP). To promote tourism and increase the satisfaction of foreign travelers, IndiTour is proposed as an Artificial Intelligence (AI)-driven mobile application travel assistant that aims to redefine how travelers explore India by providing a personalized experience. The application incorporates an itinerary planner, offline informational access, budget tracking, nearby attraction discovery, recommendations for local travel agents, and language translators all in one platform. It is built on Android (Java/XML) with Firebase backend and OpenAI's language model integration. This paper includes IndiTour's architecture, features, and modules that enable smart travel planning. The goal is to demonstrate how AI and mobile development technology can increase the travelers' satisfaction rate. Key Words: Travel assistant, Artificial Intelligence, Itinerary Planning, India tourism, Mobile app, Sustainable travel.

How neighborhood environments influence neighborhood satisfaction and travel satisfaction for different purposes?

The first extensive Bus Rapid Transit (BRT) system in the Philippines, the EDSA Busway, was put into place as a result of Metro Manila’s ongoing traffic congestion. This study uses an integrated framework that combines cost–benefit analysis (CBA), commuter perception survey, and traffic simulation to assess its economic, social, and environmental implications. The operational viability and traffic impact of the planned Magallanes BRT station were evaluated through simulation using PTV VISSIM. A total of 385 commuters participated in a survey measuring their impressions of safety, accessibility, and satisfaction using a four-point Likert scale. The Busway’s excellent economic feasibility was confirmed by the CBA results, which showed a Benefit–Cost Ratio (BCR) of 15.38 and a Net Present Value (NPV) of ₱778.64 billion. Results from the simulation showed a 24% decrease in PM2 emissions, a 75% increase in throughput, and a 64% reduction in bus trip time. According to survey results, 61% of commuters said accessibility had improved and 62% said travel satisfaction had increased. The study supports the EDSA Busway’s status as a feasible model for future BRT expansion in Metro Manila and other emerging metropolitan regions by showing how it greatly improves environmental sustainability and mobility efficiency.

With the rapid development of China's aging society, the "silver economy" has gradually become a significant force driving domestic demand and promoting economic structural optimization. The booming silver tourism market is particularly eye-catching, becoming a new engine driving tourism and overall economic growth. Among the travel options for silver tourists, air transportation, with its efficiency and convenience, is increasingly favored by middle-aged and elderly people, and their demand for air travel is showing a significant growth trend. Overbooking, a common method for reducing wasted seats, was originally intended to reduce operating costs and improve corporate profitability. However, in practice, many issues remain to be addressed. These issues not only affect passengers' travel experience but also lead to numerous consumer disputes, hindering the further development of the aviation industry. This study focused on the middle-aged and elderly population, collecting 346 questionnaires and analyzing data to explore the impact of consumer knowledge on overbooking acceptance and compensation method preferences. The study found that consumer knowledge positively influences overbooking acceptance and moderates overbooking compensation method preferences. These findings provide theoretical and practical references for airlines to optimize overbooking compensation methods for middle-aged and elderly consumers, thereby contributing to improving their air travel satisfaction.

Tourism has become an important industry over the last few decades, and its economic impact, including direct, indirect, and induced effects, has been enormous. The purpose of this study is to determine the relationship between travel satisfaction, destination satisfaction, and revisit intention. To accomplish the aims and objectives of the research, a theoretical literature assessment is carried out, and a conceptual framework for further investigation is provided. We present that Destination Satisfaction significantly and positively influences revisit intention, travel satisfaction significantly and positively influences revisit intention, travel satisfaction significantly and positively influences destination satisfaction, and destination satisfaction significantly mediates the positive relationship between travel satisfaction and revisit intention.

Assessing public transport travel satisfaction through a configurational method: a case study of Bhopal

Purpose In alignment with Saudi Vision 2030, the Kingdom is actively expanding its tourism offerings beyond religious pilgrimages. Initiatives such as the introduction of a leisure tourist visa, large-scale projects like NEOM and reforms including lifting the women’s driving ban and easing dress codes aim to attract a more diverse global tourist base. Despite these efforts, conservative Islamic traditions continue to shape daily life in Saudi Arabia. Consequently, some international visitors may encounter discomfort when navigating cultural norms and practices that differ from their own. Given these anticipated challenges, this study aims to assess whether Islamic destination attributes hinder the travel satisfaction of international non-Muslim tourists by examining the influence of both Islamic and generic destination attributes on forming overall trip satisfaction. Design/methodology/approach Using data from 391 respondents and analysed through partial least squares-structural equation modelling, this study examines a conceptual model based on the expectancy disconfirmation model (EDM) to assess the impact of Islamic and generic destination attributes on travel satisfaction. Findings The results reveal that while Islamic attributes positively impact tourist satisfaction, generic destination attributes have a significantly greater positive influence on satisfaction levels. This suggests that international non-Muslim tourists may perceive Islamic attributes as less conducive to enhancing their travel experience. Originality/value This study enriches theoretical understanding by expanding the EDM within the context of Islamic attribute satisfaction, highlighting the distinctive nature of Islamic destination attributes from the generic ones.

Purpose This study aims to explore the factors influencing travel satisfaction of metaverse tourism when using generative artificial intelligence (GAI) during the travel. Design/methodology/approach A mixed-methods approach was used, Study 1 involved focus group discussions with 10 participants and 12 in-depth interviews with experienced tourists of GAI and metaverse tourism. Through these qualitative data collection methods, key influencing factors were identified, and based on these findings, a travel satisfaction framework was proposed. Subsequently, Study 2 examined the proposed framework using PLS-SEM, and ANN was used to determine the relevant importance of the factor. An online survey was conducted, yielding 309 valid responses. Findings Study 1 revealed that perceived intelligence (PI), empathy response (ER), technology mindfulness (TM), perceived usefulness (PU) and perceived ease of use (PEU) are critical factors to gain travel satisfaction of metaverse tourism. Study 2 confirmed that ER and PU are positive factors to travel satisfaction of metaverse tourism. ER is also a significant mediator between PI and travel satisfaction. TM is a significant moderator between ER and travel satisfaction of metaverse tourism. The ANN analysis results identify PI, PU, TM and ER as the most influential variables. Originality/value This study’s originality lies in exploring the impact of GAI on metaverse tourism satisfaction from the perspective of Generation Z and constructing a theoretical framework integrating PI, ER and TM, which enriches the application of technology acceptance model in the field of metaverse tourism.

Impact of smart door locks on traveler satisfaction on accommodation-sharing platform: An empirical investigation based on generalized random forests

Complementary intermodal commuting and resident travel satisfaction: A nonlinear and interaction analysis

This study focuses on the challenges of resident mobility in low-density areas. Amid China’s rapid urbanization, rural landscapes and travel patterns are undergoing significant transformation. Using Lanzhou’s rural areas as a representative case study, this research employs questionnaire surveys to collect data. It applies a multi-nominal logit (MNL) model to examine factors influencing travel mode choices and utilizes structural equation modeling (SEM) to assess travel satisfaction—a composite metric derived from residents’ subjective evaluations of convenience, cost, time, and comfort. Findings indicate that private cars and public transportation are the primary travel modes. The MNL model reveals that age and destination accessibility significantly influence travel choices. SEM path analysis further shows that annual household income has a direct positive effect on satisfaction, while age exerts an indirect negative influence through mediating variables. Female satisfaction levels were significantly lower than those of males. Both road density and perceived infrastructure quality significantly enhanced satisfaction, while destination accessibility may exert a slight negative indirect effect by increasing travel expectations. The study theoretically enriches research on rural travel patterns and provides practical insights into rural transportation planning and infrastructure development.

ABSTRACT The post COVID-19 pandemic surge in tourism has created significant overcrowding challenges in major cities. This study examines the relationships between crowding perception, destination attractiveness, destination satisfaction, and destination loyalty, with a focus on the moderating role of travel satisfaction. Data were collected from 1,859 tourists in London, Paris, and Rome using Computer-Assisted Personal Interviews (CAPI). A structural equation modelling approach (PLS-SEM) was employed to analyze these relationships, incorporating a multigroup analysis to compare tourists based on their transport modes and mobility limitations. The relationships were analyzed through PLS-SEM, using a multigroup analysis to compare tourists based on their transport modes and mobility limitations. The results show that travel satisfaction moderates the effects of crowding on destination attractiveness and satisfaction, although the extent of this varies across cities and transport modes. In Rome, crowding increases satisfaction, while in London and Paris it has a negative effect. Differences are also found between tourists using micromobility, public transport, and walking. The findings highlight the need for tailored strategies to improve urban tourism experiences and address overcrowding, including consideration of tourists’ mobility preferences. This study advances the theory by emphasising the moderating role of travel satisfaction.

This study examines how Medical Tourism Experiences (MTEx) influence Word of Mouth (WOM) among medical tourists, with tourists’ happiness serving as a key mediating role. Based on survey data from 454 medical tourists in Ho Chi Minh City (HCMC), the findings reveal that positive medical tourism experiences not only have a direct impact on WOM but also enhance tourists’ happiness, which in turn encourages them to share their experiences with others. These insights highlight the importance of both medical service quality and overall travel satisfaction in shaping tourists’ recommendations. The study offers practical insights for healthcare providers, tourism operators, and policymakers, as well as suggestions for future research in this rapidly evolving field.

Decomposing the impact of TOD on travel satisfaction: An evaluation using the Node-Place-Design model

The rapid rise in motorcycle usage in Indonesia has contributed significantly to urban transport emissions, underscoring the need for cleaner alternatives such as electric motorcycles (EM). This study investigates the roles of extrinsic motivation (e.g., policy incentives) and intrinsic motivation (e.g., residential location, daily activity patterns, and psychological readiness) in shaping EM adoption in Yogyakarta, Indonesia. A stated preference survey was conducted with 400 conventional motorcycle owners, collecting socio-demographic data, four-day activity diaries, perceived accessibility measures, and responses to a transtheoretical model questionnaire. Using a mixed logit modelling framework, three models were estimated, progressively incorporating vehicle attributes, policy incentives, spatiotemporal factors, travel satisfaction, and behavioural readiness stages. Results show that spatial context, particularly residing farther from the city centre, public transport, and parks, has a stronger effect on EM adoption than readiness stage, with workaholic activity patterns also positively associated. Among policy measures, free battery replacement emerged as more influential than free annual vehicle tax, although range, maintenance cost, and charging time remained more critical determinants. Behavioural readiness moderates these effects: individuals in the preparation stage are significantly more likely to adopt EMs, while those in contemplation are less inclined. The findings suggest that beyond financial incentives, campaigns emphasizing EM reliability and environmental benefits, targeted toward suburban residents and high-usage riders, could accelerate adoption. These insights support spatially and behaviourally segmented strategies for promoting low-emission transport in motorcycle-dependent, rapidly motorizing cities, and inform the potential integration of market-based mechanisms such as personal carbon trading or tradable driving credits.