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).     

Using spatial network analysis to model pedal cycle flows,risk and mode choice

Spatial network analysis (SpNA) provides a promising alternative to traditional transport models for the modelling of active travel, because walking and cycling behaviour is influenced by features smaller than the scale of zones in a traditional model. There is currently a need for link-level, city wide modelling of cycling, both to ensure the needs of existing cyclists are catered for in planning, and to model the effects of changing infrastructure in shaping cyclist behaviour. Existing SpNA models treat cyclists and car drivers as if they make navigational decisions in a similar way, which in reality is not the case.This paper presents an SpNA model using hybrid betweenness, which fits cyclist flows in Cardiff, Wales using distance, angular distance, motor vehicle traffic and slope as predictors of route choice. SpNA betweenness is also shown to implicitly capture the effect of urban density on mode choice. As it handles route finding decisions of drivers and cyclists separately, the model presented is also applicable to road safety models examining the interaction between the two classes of road user. The model has low cost of data collection and is reproducible using publicly available network analysis software and open mapping data. Further avenues for modelling the effect of infrastructure on cycling are discussed.     

An investigation of service quality,customer satisfaction and loyalty in China's airline market

Customer loyalty is a source of competitive advantage and an important intangible asset to any organisations, but empirical evidence from China's airline market regarding the determinants of passenger satisfaction and loyalty is lacking. This paper investigates the service quality of four major airlines in China's domestic market and explores the links between their service quality and customer satisfaction, as well as the conditions under which airlines can retain existing passengers. In line with previous studies, service quality variables are significant factors influencing customer satisfaction levels. However, satisfactory service was not found to result in higher customer loyalty among business travellers. In comparison to Hainan Airlines, passengers who travelled with Air China, China Southern and China Eastern were more likely to switch to an alternate carrier, indicating lower levels of brand loyalty. In addition, the frequent flyer programs (FFPs) have been largely a failure for the four major airlines in terms of increasing customer loyalty, as revealed in this study. It is necessary to draw distinctions between business and leisure travellers when studying the determinants of customer satisfaction and customer loyalty. Ticket pricing had a positive and significant effect on passengers' overall satisfaction and in turn strengthened customer loyalty among leisure travellers, but achieved no impact on the satisfaction and loyalty of business passengers. Some demographic variables such as gender, income and education are statistically significant for one group of passengers but not for another in the probit models estimated. It is suggested that different marketing strategies may be used to target different market segments to improve customer loyalty.     

The quays in salford: an analysis of visitor perceptions,satisfaction and behavioural intention

Despite an extensive literature on urban regeneration, visitor perceptions of urban waterfront destinations and their subsequent outcomes remain largely unexplored. The paper reports the findings from a survey of visitors to the Quays in Salford; it focuses on their perceptions, satisfaction and behavioural intentions. While the primary attractions were found to have an important influence, the secondary elements explain more of the variance in overall satisfaction and intention to return to the Quays and the environmental aspects have a greater influence on visitor intention to recommend the destination. The implications of the findings for destination management and marketing are discussed. Copyright © 2011 John Wiley & Sons, Ltd.     

Mapping bicycle use and the risk of accidents for commuters who cycle to work in Belgium

This paper explores the spatial patterns of bicycle use for commuting and the risk cyclists run being injured in a road accident when commuting to work in Belgium. Exploratory data analyses suggest that the observed differences in the use of the bicycle to get to work are strongly linked to the urban hierarchy: commuters are more inclined to cycle in cities and specifically in regional towns (with 25 000 to 120 000 inhabitants). In large cities (more than 200 000 inhabitants), less commuting by bicycle takes place. The relationship between bicycle use and the risk of being seriously injured or killed in a road accident is also studied. A cluster analysis confirms that high proportions of commuter cyclists are correlated with low risks of becoming a casualty. It also shows that there are strong spatial differences (regional and between different types of towns) in bicycle use and the risk of an accident. This suggests that cycling policies should be spatially differentiated.     

The use of infrared sensors and digital cameras for documenting visitor use patterns: a case study from D'Aguilar National Park,south-east Queensland,Australia

This study assesses the use of pyroelectric infrared sensors combined with digital cameras to document visitor use patterns on a Horse Trail Network within an area of D'Aguilar National Park; a peri-urban bushland reserved for a range of purposes and used by several user-groups. Data were obtained from four cameras and comprised 7000 photographs over 1000 days. Forty-five percent of photographs were false triggers attributable to environmental factors and 42% were of confirmed users. An exercise aimed at assessing camera success revealed that in this study capture rates were in the order of 63% for cyclists, 82% for pedestrians, 90% of motor vehicles and 100% for horses. Sources of error can be minimised and primarily include the internal and external camera settings. Major advantages of infrared digital cameras include the portability of the technique, low cost, digital data format and discrimination of user types. In this case study, two-thirds of total observed visitor numbers occur on weekends and two-thirds of all use occurs during morning daylight. Cyclists were the most common user-group per day, followed in descending order by walkers, joggers, motorised users, dogs, bushwalkers, horse-riders and trail-bike riders. Implications of this data for management are discussed.     

Spatial and temporal analysis of shared bicycle use in Limassol,Cyprus

Cities around the world are moving away from the car-centric infrastructure, urban design and planning policies prevalent since the 1950s and promoting sustainable mobility as an alternative, including cycling. As such, Bicycle Sharing Systems (BSS) have emerged as a transport innovation across the globe. Cycling modal share however remains low in most Southern European island cities. These cities exhibit certain characteristics considered as barriers to cycling, such as hot summers and high humidity, hilliness, and car-oriented culture and infrastructure. Despite this, BSS and policies promoting cycling have emerged in this region as well. These have the potential to provide alternatives for those marginalized by car-based mobility and to reduce traffic related diseases and injuries, noise and air pollution, which can contribute to an improved quality of life for all citizens. Using the Mediterranean island city of Limassol (Cyprus) as a case study, the utilization of bicycle sharing is investigated by constructing regression models to assess the influence of spatial and temporal factors on the demand for BSS use at stations. From the regression models it appears that land use factors such as residential, commercial and park land use, as well as the presence of the beach and cycling paths positively influences frequency of use, as does higher network connectivity. While higher tourist arrivals have a positive effect, the presence of hotels in a 300 m buffer around the stations does not. Higher rainfall, as well as higher temperatures, are associated with a decrease in BSS use. Explicitly incorporating spatial dependence, in Spatial Auto-Regressive (SAR) models, led to the formulation of models with comparable or better explanatory power, when compared to the Ordinary Least Squares (OLS) models. The insights from the regression models can be used to inform policies promoting cycling and the design and planning of BSS (expansion) in Limassol and other cities.     

An examination of the consequences of corporate social responsibility in the airline industry: Work engagement,career satisfaction,and voice behavior

Underpinned by social exchange and social information processing theories, our study proposes and tests a research model that investigates flight attendants' perceptions of corporate social responsibility practices. Data came from flight attendants in a major low-cost carrier at different, successive points in time. The structural equation modeling results reveal that work engagement is the underlying mechanism through which corporate social responsibility, as manifested by the economic, legal, ethical, and philanthropic practices, is linked to flight attendants' career satisfaction and voice behavior. Simply stated, the empirical data support all hypotheses and the research model we have proposed is viable. The results have important implications about flight attendants' perceptions of corporate social responsibility practices and the aforesaid outcomes.     

Impact of transport pricing on quality of life, acceptability, and intentions to reduce car use: An exploratory study in five European countries

This paper examines how a transport pricing policy aimed to reduce car use may affect individuals’ Quality of Life (QoL), to what extent this policy is acceptable to the public and if people intend to change car use when the policy is implemented. Also, comparisons were made amongst five countries (Austria, Czech Republic, Italy, The Netherlands and Sweden). An internet survey among 490 respondents showed that a stringent measure, i.e., doubling costs of car use, hardly affects people’s general QoL. Respondents are unsure whether they would accept the policy and whether they intend to change their car use if the policy is implemented. Respondents from The Netherlands and Sweden are more pessimistic about the QoL consequences of the policy, think the policy is less acceptable and are less inclined to reduce car use than respondents from the Czech Republic, Italy and, to a lesser degree, Austria. Implications and recommendations for developing, adjusting or supplementing QoL measurement instruments and policies are discussed to ensure effective and efficient policy making.     

Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times

In this paper, we focus on the spatial distribution of travel time differences between car and public transport during peak and off-peak hours using geospatial methods and circular statistics. To that end, we combine two origin-destination matrices: one contains the number of simulated commuting trips and the other contains accurate travel times measured using either Floating Car Data or transit data. The combination of both matrices reveals that differences in travel time during peak and off-peak hours are high for intra-city commuting and low for inter-city commuting.     

Customer satisfaction and loyalty to Alpine ski resorts: the moderating effect of lifestyle,spending and customers' skiing skills

Customer satisfaction and loyalty are key drivers of performance. However, there is increasing evidence that good attribute performance and high overall satisfaction do not always automatically lead to higher loyalty. In this paper, we put forward a study on customer satisfaction and loyalty to Alpine ski resorts. We analyse the moderating effects of three important factors in the attribute performance–overall satisfaction–loyalty relationship: lifestyle, consumer spending and customers' skiing skills in a sample of 6172 skiers. The results show that all studied variables have a moderating effect. The findings have implications on both theory and practice. Copyright © 2007 John Wiley & Sons, Ltd.     

An evaluation of departure throughputs before and after the implementation of wake vortex recategorization at Atlanta Hartsfield/Jackson International Airport: A Markov regime-switching approach

This paper utilizes a Markov regime-switching model to decompose airport departures into two regimes and to investigate the change in departure throughputs before and after implementing wake recat at ATL. Although analysts may not always know with certainty which regime prevails and how long it may last, they can compute the transition probabilities and expected duration of each regime. After the implementation, there was a 91% chance that departure throughputs would remain unconstrained (up from 86% before implementation) and a 37% chance that departure throughputs would become constrained (up from 35% before implementation).     

E-shoppers and multimodal accessibility to in-store retail: An analysis of spatial and social effects

Amidst the growing interest in enhancing the academic understanding of the relationships between e-shopping and transport, a key element remains underexplored – the impact of e-shopping on spatial accessibility to in-store retail. The paper studies variations in multimodal accessibility to in-store retail between e-shopper groups and the associated spatial effects. The research is based on a face-to-face questionnaire, administered in the city of Alcalá de Henares (Madrid Metropolitan Area, Spain), which provides data on socio-economic characteristics, e-shopping habits, and travel time preferences to reach in-store retail. Clustering techniques serve to identify three e-shopper groups: occasional e-shoppers with a car, infrequent e-shoppers with a car, and frequent e-shoppers without a car. A comparison of e-shopper distance-decay functions to reach in-store retail is made, revealing significant differences between the three e-shopper groups for car and public transport for any time interval. However, for walking such differences are limited to time intervals between 10 and 40 min. Distance-decay functions are processed through a gravity-based model, identifying five categories of multimodal accessibility places that provide information on how in-store retail locations may be affected by e-shopping habits. The paper closes with concluding remarks on policy-making and a few pathways for future research.     

Energy performance analysis of airport terminal buildings by use of architectural,operational information and benchmark metrics

Airport terminal buildings are one of the most energy-intensive building types, and their constituents can include several types of spaces in one-roof structures. However, they have been rarely included in several energy-related studies due to the complexity of their mechanical and operational systems. The purpose of this research is to propose benchmark metrics to investigate the energy performance of existing and future airport terminal buildings. By using measured data of total 30 existing ones in North America and simulated results of total 90 specific space type models, a more improved multivariate regression model can refine the values for average of energy use. When revalued from their characteristics based on the refined average, energy performance forecasts are improved by from 1.1% to 3.0% as compared to the case of the simple average. In addition, it can be used to define a higher energy baseline reflecting some weights adjusted by the building characteristics and to apply it into the space configurations for new airport terminal buildings.     

Stated-preference analysis to estimate the domestic transport demand following the future entry of LCCs and the inauguration of the Linear Chuo Shinkansen in Japan

Using a stated-preference survey, we examine changes in air transport demand by the entry of low cost carriers into domestic service, and with the beginning of operation of the Linear Chuo Shinkansen. In order to construct a choice model, we estimate the Nested-Logit model parameters by the two kinds of travel purposes in order to consider the differences in the price-sensitivity between business and non-business travelers. Simulation results for the each targeted OD vary in the shares of each transportation mode, depending upon the travel times, the aviation network, travel purpose. Non-business travelers who are more price-sensitive are less likely to choose the Linear Chuo Shinkansen with higher fares. On the route between the metropolitan area and Kinki area, total aviation demand will increase by the entry of LCCs to/from Tokyo-Haneda airport even when the Linear Chuo Shinkansen begins operating, showing that the development of the Linear Chuo Shinkansen service will not prevent strong growth in aviation demand for the trunk domestic routes.     

The geography of the Spanish airport system: spatial concentration and deconcentration patterns in seat capacity distribution, 2001-2008

This paper analyzes the geography of seat capacity at Spanish airports between 2001 and 2008. Concentration and deconcentration patterns for different markets have been identified. For this purpose, we use the Herfindahl-Hirschman Index (HHI), the Concentration Ratio (CR) and the Lorenz curve. From our analysis, we conclude that seat capacity follows a deconcentration pattern due to the growth of low-cost carriers at small- and medium-sized Spanish airports. This is in line with earlier studies for Europe as a whole. Intercontinental seat capacity still remains very much concentrated in Madrid and, to a lesser extent, in Barcelona. However, new strategies by long-haul airlines bypassing the primary European hubs foster the deconcentration of seat capacity in the Asian and North American markets. In the case of Spain, the recent liberalization of the EU-US market may become an important enabler of such network strategies, e.g., Delta has operated a route from Valencia to New York-JFK since 2009. In other intercontinental markets, capacity is more and more concentrated in Madrid. We highlight the restructuring of Iberia’s network as an important factor behind the increasing dominance of Madrid in intercontinental markets.     

Division of labour and gender differences in metropolitan car use: An empirical study in Cologne,Germany

This paper suggests the need for a broader view of `gender and transport' by presenting a study of gender differences in car use for maintenance travel. Although many more women are now entering the labour force than a few decades ago, they still have to undertake the larger share of household-related work. The main objective of this paper is to assess the impact of these changing gender roles on travel patterns and in particular on car use for maintenance travel. We used the survey and trip diary data of 949 respondents living in two urban and two suburban neighbourhoods of the Cologne metropolitan area. The empirical findings suggest that labour market and maintenance activities influence car use in different directions. While parenthood reduces the odds of car use by women, it increases men's car use. Labour force participation on the other hand, especially when part-time, intensifies car use for both genders. In short, a levelling influence of paid work and a traditionalizing influence of parenthood regarding car use for maintenance travel was found.     

An emerging Korean youth culture,Rail-ro: the application of cultural consensus analysis to domestic rail travel experiences

This study deals with an emerging domestic rail travel phenomenon among Korean youth, known as Rail-ro (Railo), which has influenced aspects of youth culture and domestic tourism in Korea since 2007. The purpose of this study is to determine whether Railo experiences exist as a coherent culture among Railers based on cultural consensus analysis. The result indicates Railers’ strong agreement about Railo experiences, which reinforces the view that a particular rail pass could be instrumental in forming a distinct youth travel subculture. This study demonstrates how travel culture driven by the seasonal rail pass supports domestic tourism and inbound tourism.     

Access to the city: Mobility patterns,transport and accessibility in peripheral settlements of Dar es Salaam

This paper is concerned with access to the city for urban residents living in the periphery of Dar es Salaam, Tanzania. The paper presents an analysis of the mobility practices of residents and investigates the mobility constraints they experience in relation to the limited accessibility provided by the urban transport system. The paper draws upon qualitative interviews with residents in the periphery as well as recently collected travel speed data and offers a unique combination of testimony with GIS-based modelling of overall accessibility. A central finding is the overall importance of regular mobility and access to the city for residents in the periphery. Regular mobility is an ingrained part of residents' livelihood strategies. The majority of households rely on one or more members regularly travelling to central parts of the city in relation to their livelihood activities. The analysis reveals a widespread, near-to-universal, dependence on motorized transportation, with the vast majority depending on public transport. Raster-based modelling of overall accessibility provides an indication of the very high travel times endured by residents in the periphery. The analysis identifies and distinguishes between three overall mode types: 1) Private car, 2) public transport and 3) motorcycle/car combined with public transport. While private cars appear marginally faster, differences in travel times are actually limited. This suggests that travel times are less influenced by mode of transport than by road and traffic conditions and highlights how accessibility problems of peripheral settlements are not easily understood separately from the general dysfunctions of the overall mobility system of city.