Effects of parking and cordon charge policies on tourist's modal shift in central business district of Mashhad city,Iran

The second largest holy city of the world, Mashhad, attracts high volumes of tourists and pilgrims every year. Most visitors travel by private car and are a source of considerable funds for the local economy. Among road users, tourists as one of the major traveller categories in Mashhad city behave differently due to the particular trip purpose. The aim of this research is to model tourist's shifting modes of travel behaviour when policy measures, such as the parking and cordon fares, are implemented. The tourists’ preferences were examined using binary logit analysis when different options of travel cost and time scenarios were provided. Results indicate that travel time, parking cost, cordon cost, education level and vehicle price influence tourist's modal choice. In addition, the finding shows that congestion pricing will be more effective than a parking pricing strategy in encouraging switching of modes.     

Determinants of travel mode choice for seeking healthcare: A comparison between elderly and non-elderly patients

People's travel mode choices can vary significantly by age group due to different influencing factors, but relevant research on health-related travel is scarce. In this study, we explored and compared the determinants of travel mode choice for healthcare-seeking non-elderly and elderly patients in Beijing, China. A multinomial logit model was used to analyze data from a recent healthcare-seeking behavior survey. The results show that increased age discourages car use and slightly prompts non-motorized travel in the non-elderly, but has the opposite effect in the elderly group. Household income has a negative effect on non-motorized travel in the non-elderly, but a positive effect in elderly patients. Highly mixed land use, intensive urban development, and difficulty in parking discourage non-elderly patients from traveling by car, but none of these factors have a significant effect on the elderly. Our findings shed light on the unique transportation demands for different age cohorts and inform the creation of age-specific interventions to improve overall access to health.     

Domestic tourism destination choices — a choice modelling analysis

Tourism destinations compete with each other to attract visitors. Although international tourism has received a lot of attention, domestic tourism remains the mainstay for many destinations. To inform the basis on which destinations compete, an understanding of the determinants of destination choices is required. In this paper, the discrete choice modelling method is applied to investigate the determining factors underlying the short‐break holiday destination choices of prospective tourists from Melbourne, Australia. The results from an estimated nested logit model indicate the relative importance of a number of destination and trip attributes and respondent characteristics. The model results are used to simulate the effects on destinations' market shares resulting from various changes in attributes and tourist characteristics. Copyright © 2003 John Wiley & Sons, Ltd.     

Changing trip behavior in a higher education institution: The role of parking fees

Higher education institutions are major trip-generating locations and the transportation to and from them has negative environmental influences. To discourage car owners from solo driving and encourage them to use more environmentally friendly travel modes, it is important to understand what factors influence their travel mode choice. Using a discrete choice model, we examined the motivations to leave the car at home, with and without parking fee. Besides parking fees, we examined the effects of other variables known to predict commuting choice, such as time and social discomfort, pro-environmental attitudes, reduced vehicle maintenance expenses and awareness of alternative commuting options. Results show that adding a parking fee not only increased the tendency to leave the car at home, it also influenced the relative weight given to the considerations that determine to leave the car at home. Specifically, after the introduction of a parking fee, the previously significant impacts of pro-environmental attitudes and social discomfort on leaving the car at home became non-significant, and the impacts of other, more instrumental factors (e.g., time discomfort, costs related to car ownership and maintenance, time wasted searching for a parking space and in traffic jams) which were insignificant beforehand, became the significant predictors. Parking fees were found to be effective and can change to accommodate different policies (revenue collection, pollution reduction, and students’ discomfort). The implications of such a study are the trade-off between monetary (parking fee) and non-monetary variables to accommodate more sustainable traffic management.     

Mode choices for trips to work in Geneva: an empirical analysis

The results are presented of an empirical analysis of the mode choice for work trips in the city of Geneva (Switzerland) by means of a nested logit approach. This allows us to describe the household's joint automobile ownership and usage of a car for work-trips. As far as mode choice is concerned, the results highlight the importance of contextual and individual factors besides mode characteristics (travel time, cost and comfort). The car ownership decision is found to be mostly related to income levels of the households, contextual constraints and locational issues. Altogether the results seem to highlight the relative inadequacy of public transportation for some commuters' needs, especially those who live in sub-urban areas, across the border with France.     

Holiday travel discourses and climate change

Current analyses highlight the relatively high contribution of holiday travel to greenhouse gas emissions. One response has been a growing ‘slow travel’ movement. Slow travel is an emerging concept which can be explained as an alternative to air and car travel where people travel to destinations more slowly overland and travel less distance. At first glance, slow travel might seem to preclude much international tourism, however, as an adaptation strategy, slow travel has the potential to reduce tourism’s overall carbon footprint. Data were collected using in-depth interviews with 15 UK participants before and after a holiday to another European country. The analysis explores the discourses used by both slow and non-slow travellers to justify modal choice in relation to climate change. Then, using a social practices model, the paper explores how holiday travel is constrained by both individual agency to act and the structures that exist within the travel and tourism industry. The paper concludes with some recommendations for the development of slow travel as a tourism adaptation strategy for a lower carbon future.     

Tourist choice of sustainable hot springs tourism under post-COVID-19 pandemic period: A case in Colorado

Hot springs tourism has increasingly attracted tourists who pursue wellness and harmony with the natural environment. This paper investigates how four sustainability-related attributes influence tourist choice and estimates their marginal willingness to pay for Colorado hot springs tourism under the post-COVID-19 pandemic period. A fractional factorial choice experiment design and conditional logit model were used to analyze the choice data of 303 retained respondents collected from the online surveys. The results show the importance of sustainability-related attributes on tourist choice and suggest the hot springs tourism sector improves destination sustainability to maintain market competitiveness under the post-COVID-19 pandemic period.     

Nested logit model formation to analyze airport parking behavior based on stated preference survey studies

The rapid growth of private car ownership and utilization has resulted in significant parking-related congestion problems at large-scale international airports. Parking facilities located in the peripheral areas of airports could be more efficiently used to mitigate congestion and reduce delays due to dramatically increasing traffic demands and inferiorly designed parking lot configurations. In order to analyze the travelers' parking choice preferences for the off-site airport parking activities, a stated preference survey study was conducted around Terminal 3 at Beijing Capital International Airport. Two nested logit models were formulated to analyze the correlation between travelers' parking behavior and their travel characteristics. The research results indicate that travelers prefer to choose off-site parking facilities for long-term parking. A free and fast operation of connections should be provided in consideration of the long-distance layouts of parking facilities. A classification analysis of travelers with different preferences was conducted and the potential changes in travelers' parking choices to off-site parking lots were quantified. The research findings are helpful for traffic management agencies to develop practical guidelines for the establishment of new parking facilities with multiple access points at airports.     

Non‐participation of Domestic Tourism: Analyzing the Influence of Discouraging Factors

This study analyzes the factors that discourage non‐tourists' participation in domestic tourism. Data were collected in 15 cities in China and analyzed using a comparative analysis and non‐parametric ridit analysis. The findings indicate that (i) non‐tourists have low internal travel motivation and attitude and are more likely to be under 25 or above 55 years old, less educated, less healthy, with small child(ren) and lower income; (ii) non‐tourists consider less on destination environment and attraction, but focus on price and travel expenses when making a travel decision and destination choice; and (iii) economic and leisure time are their main situational travel constrains. Copyright © 2016 John Wiley & Sons, Ltd.     

Market segmentation analysis for airport access mode choice modeling with mixed logit

Accessing airports can be considered as a crucial issue since passengers need not miss their flights. This issue makes the mode choice to access the airports important to study on and develop policies regarding it. Many studies show destination type as domestic or international affects the airport access mode choice, along with other factors. In this study, we investigate the effect of destination type of mode choice using mixed logit, using market segmentation approach. Market segmentation regarding destination type as domestic or international is a first in airport access mode choice modeling. Revealed-preference data was collected by face-to-face passenger surveys at Ataturk International Airport in Istanbul, Turkey, in 2015. We did market segmentation analysis for Multinomial Logit (MNL) and Mixed Logit (ML) models. When MNL and ML models were compared, it was observed that ML was superior to MNL. Further, results of market segmentation analysis revealed that using segmented models produced more accurate results than using the pooled model; both in MNL and ML. This finding was also supported by the value of time estimates; there were significant differences between domestic and international travel markets in terms of airport access mode choice. These results showed that different transportation policies may be introduced for domestic and international traveler segments, which also were explained.     

Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan

China has entered a stage in which new rural construction and urbanization are rapidly developing. Considerable changes are occurring in rural China, and the built environment is different from that in the past; such difference directly influences the travel mode choice of rural residents. However, our knowledge on how the rural built environment influences the travel mode choice of rural residents in China remains limited. To fill this gap, this study combines on-site measurement methods, geographic information system (GIS) technology, and activity diary survey to obtain basic data regarding the built environment and the daily activities of rural residents. The multinomial logit (MNL) model is used to explore the relationship between the rural built environment and the travel mode choice of rural residents. Results show that building density significantly positively affects private car trips. This finding challenges earlier urban built environment research due to the considerable gap between rural and urban areas. An increase in road density increases the travel frequency of electric bicycles and motorcycles. Accessibility perception and preferences positively affect the probability of choosing to walk. Safety and neighborhood harmony perception positively affect the travel frequency of motorcycles and private cars. Rural residents who prefer a safe living environment are likely to choose walking for their daily travel. Despite the considerable achievements in the construction of rural roads, the frequency of public transportation remains low for rural residents. Therefore, additional attention should be given to the investment and construction of public transport facilities during rural urbanization.     

The Formation of a Tourist Destination's Image via Information Sources: the Moderating Effect of Culture

The present study aims to outline the growing importance of culture in the field of tourism. More specifically, it highlights culture as a moderating variable in pre‐visit tourist destination image formation, through the information sources utilized by the tourist in the selection of a holiday destination (that is, travel agencies alone vs. travel agencies together with the Internet). For this purpose primary research used a multicultural sample of 371 tourists from different European countries. The results show that the formation of a destination's pre‐visit image amongst tourists, based on the information sources they use, is moderated by the level of uncertainty‐avoidance of their national cultures. Copyright © 2011 John Wiley & Sons, Ltd.     

Home-end and activity-end preferences for access to and egress from train stations in the Copenhagen region

Increasing public transport use with the aim of improving the sustainability of cities should focus not only on enhancing level and quality of the service offered, but also on understanding determinants of the choice of access and egress modes to and from the railway network. This study analyzes the difference in preferences at the home-end and activity-end for travelers who have chosen train as their main travel mode while investigating the effect of policy variables such as car parking availability, bicycle parking availability and type, and bicycle on train possibility. Specifically, this study analyzes the choices between five transport modes (i.e., “walk,” “bicycle,” “car driver,” “car passenger,” “bus”) for 2921 home-end and 3658 activity-end trips. Joint mixed logit models are specified and estimated to account for heteroscedasticity and correlation across alternative modes as well as taste heterogeneity across travelers. Model estimates and pseudo-elasticities uncover the importance of travel time and underline how the improvement of walkability, bikeability, and bus service would contribute significantly to the increase in the probability of choosing sustainable modes to and from train stations. Moreover, model results emphasize the role of bicycle parking in terms of the sheer number of spaces to be increased as well as covered places to be offered at the activity end, de facto giving the possibility to leave a bicycle at that end during the night. Lastly, model results show that it is a matter of not only time and trip characteristics, but also traveler characteristics, occupation, and purpose.     

Assessing preferences for mega sports event travel products: a choice experimental approach

Hosting mega sports events spreads positive destination images and generates massive tourism arrivals for the host communities. It is, therefore, important for tourism businesses to better understand what types of travel products, tailored for particular mega sports events, are purchased by sport tourists. Using a choice experimental approach, this study aims to examine how sport tourists formulate their preferences for travel products customized for the 2018 PyeongChang Winter Olympic Games by making intricate trade-offs among various product attributes. We utilize a gender perspective to further understand the preference dynamics embedded in segmented sport tourism markets. Study results suggest that sport tourists put distinctive weights on each of the attributes comprising the Olympic travel products. Gender differences are also identified in sport tourists’ choice decisions for sports event travel products. Based on the study findings, this paper proposes several marketing strategies to meet the needs of targeted market segments.     

An exploratory analysis of relationships between socioeconomic,land use,activity participation variables and travel patterns

This paper aims to find relations between the socioeconomic characteristics, activity participation, land use patterns and travel behavior of the residents in the São Paulo Metropolitan Area (SPMA) by using Exploratory Multivariate Data Analysis (EMDA) techniques. The variables influencing travel pattern choices are investigated using: (a) Cluster Analysis (CA), grouping and characterizing the Traffic Zones (TZ), proposing the independent variable called Origin Cluster and, (b) Decision Tree (DT) to find a priori unknown relations among socioeconomic characteristics, land use attributes of the origin TZ and destination choices. The analysis was based on the origin–destination home-interview survey carried out in SPMA in 1997. The DT application revealed the variables of greatest influence on the travel pattern choice. The most important independent variable considered by DT is car ownership, followed by the Use of Transportation “credits” for Transit tariff, and, finally, activity participation variables and Origin Cluster. With these results, it was possible to analyze the influence of a family income, car ownership, position of the individual in the family, use of transportation “credits” for transit tariff (mainly for travel mode sequence choice), activities participation (activity sequence choice) and Origin Cluster (destination/travel distance choice).     

Travelling ‘green’: is tourists' happiness at stake?

Several western governments have implemented environmental policies which increase the cost of air travel. Such policies aim to reduce the impact of air travel on climate change, but at the same time they restrict tourists in their travels. This study examines the extent to which the average tourist's happiness is affected by ‘involuntary green travel’, defined as reduced CO₂ emission travel imposed by government regulations. This issue was addressed in a study among 588 Dutch citizens who completed a self-report questionnaire containing questions about their happiness. The strongest determinant of tourists' happiness is freedom in choosing a destination. Any policy measure that interferes with tourists' freedom in destination choice will negatively affect tourists' happiness. Six percent of their happiness is at stake and potentially 17% of all holiday trips are affected. The number of tourists involved is possibly much smaller. The best options for governments are to impose taxes on long-haul destinations, which affect only a small share of all tourists, and air routes which can also be travelled by a variety of alternative modes of transport and thus less limiting to destination choice within this market segment.     

School travel mode choice in Beijing,China

This study explores school travel mode choice behavior of 7–18 year-old students in Beijing, China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The integration of tree-based and logit-based models is employed to examine the influence of key variables on school travel mode choice. In particular, the tree-based model is used to preliminarily select the traits which have a statistical effect on mode choice, and the logit-based model is used to provide deeper understanding of the underlying decision processes and the correlation effects of the variables. Results show that car ownership, poor walking/cycling environment, and adults' convenience for escorting students significantly stimulate the use of cars in school commuting. Students are more inclined to choose cars when their departure time is at rush hour compared to the other time. Moreover, the longer distance encourages the use of motorized transport, where the households with local hukou (usually related to the car ownership and other welfares) are more willing to drive their children to school. A number of recommendations on car restraint, sustainable travel environment improvement, different working hour implementing, and educational resources layout for the encouragement and promotion of sustainable travel practices are lastly proposed.     

Analysis of ground access modes choice King Khaled International Airport, Riyadh, Saudi Arabia

Airports are vital to the transportation system because air travel is the fastest means of transporting people and goods around the world. Airports also connect aviation systems with other modes of transportation.As a result, access modes to airports are critical to the aviation system, and studying air passenger decisions regarding mode choice is an essential part of airport management and system planning.Though there has been systematic analysis of car use to access airports, there has been less systematic attention to the use of the public transport system, especially the taxi service. The aim of this study is to identify King Khaled International Airport (KKIA) access mode characteristics and users, which has not been investigated previously concentrating on the mix between car and taxi using data collected specifically for this research.More than half (55.5%) of the travelers surveyed arrived at KKIA by private car; taxi and limousine passengers accounted for 42.2% of the sample. The Saudi Public Transit Company (SAPTCO), transported only 2.3% of the air passengers surveyed. These results are similar to findings for an airport in the United States and very different from findings for an airports in the East (e.g., Hong Kong).A binary logit model was developed to evaluate the access mode choice. It was found that income, luggage, travel access time, and nationality significantly affect mode choice.Results provide insight for improved planning of access to KKIA.     

The impact of airport parking fees on the tourist's airport/airline choice behavior

This paper analyzes the airport/airline choice behavior of tourists for Saxony/Germany. We employ flexible parametric choice methods (mixed logit) in order to test the effect of standard attributes on the choice probability. In addition we extend existing literature with the introduction of parking charges in the choice experiment. Our results show a significant and negative impact of parking charges on airport choice probability. Thus, we can compute high elasticities of parking charges for tourists. These results suggest, that airport managers have in form of parking policies a powerful policy instrument as they can directly affect the size of the airport catchment area.     

The indirect effect of the built environment on travel mode choice: A focus on recent movers

Many studies have demonstrated that the built environment has a strong impact on people's travel mode choice. However, the built environment also influences elements such as travel distance and car ownership, which might be the true predictors of which travel modes are chosen. In this study, we analyse the effects of changes in residential neighbourhood on changes in travel mode (for commute trips and leisure trips), both directly and indirectly through changes in car ownership, travel distances and travel attitudes. This study applies a structural equation modelling approach using quasi-longitudinal data from 1650 recently relocated residents in the city of Ghent, Belgium. Results indicate that the built environment has strong direct effects on active leisure trips and car use. However, distance (for car use) and attitudes (for active travel) were found to be important mediating variables. In sum, the effect of the built environment on travel mode choice might be more complex than commonly assumed as it partly seems mediated by travel distance and travel attitudes.