A dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision making

The transportation system affects all aspects of our daily lives including relatively long-term decisions on work and home location choice and automobile ownership decisions. The interdependency existing among these three decisions jointly influences household mobility and overall travel patterns. Therefore, a dynamic modeling framework that can account for the effects of interdependencies between vehicle transaction behavior and residential and job location choices is highly desirable. These decisions are made in the household level while individuals’ decisions influence the overall outcome; therefore, it is also important to incorporate a group decision making process within such modeling frameworks.This study introduces a dynamic model for vehicle ownership, residential mobility, and employment relocation timing decisions. These decisions are modeled at the individual level and then sequentially aggregated to the household level if it is required. A hazard-based system of equations is formulated and applied in which work location and residential location changes are included as endogenous variables in the vehicle transaction model while other important factors such as land-use and built environment variables, household dynamics, and individuals’ socio-demographics are also considered.     

Traveler satisfaction in rapid rail systems: The case of Istanbul metro

Multifaceted characteristics of urban travel have an impact on the passengers' overall satisfaction with the transport system. In this study, we investigate the interrelationships among traveler satisfaction, travel and traveler characteristics, and service performance in a multimodal network that comprises of a trunk line and its feeder lines. We analyze the factors influencing the choices of access to rail transit stations and the satisfaction of transit travelers with the rapid rail transit systems. We quantitatively study these relationships and demonstrate the complexity of evaluating transit service performance. Since the interrelationships among variables affecting this system are mainly stochastic, we analyze the satisfaction with transit system problem using a Bayesian Belief Network (BBN), which helps capture the causality among variables with inherent uncertainty. Using the case of Istanbul, we employ the BBN as a decision support tool for policy-makers to analyze the rapid rail transit services and determine policies for improving the quality and the level of service to increase the satisfaction with transit system. In the case study, satisfaction with accessibility and access mode variables are found to be more effective variables than total travel time for travel time satisfaction, confirming the significant role of access in multimodal travels.     

An utility-based decision support sustainability model in slow steaming maritime operations

This paper analyses slow steaming sustainability initiatives and generalizes the traditional discrete cost-based decision support model into novel continuous utility-based models. Two models based on logarithmic and linear utility functions are developed for risk-averse and risk-neutral decision makers respectively. The models, considering fuel consumption, carbon emission, and on time delivery, are applied to a Trans-pacific trade service route. A sensitivity analysis is conducted on parameters of sailing distance, expected transit time, quantity, and emission policies. The model contributes to ship liners on the optimal speed decisions in continuous utility-based slow steaming operations.     

Airport partial and full privatization in a multi-airport region: Focus on pricing and capacity

This paper studies the capacity and pricing choice of two congestible airports in a multi-airport metropolitan region, under transition from a pure public, centralized airport system to partial or full privatization. We develop analytical models to investigate three privatization scenarios: public–private duopoly, private–private duopoly, and private monopoly. We find that, airports follow the same capacity investment rule as prior to privatization when capacity and pricing decisions are made simultaneously. Pricing rule after privatization becomes more complicated, with additional factors having an upward effect on the privatized airport(s) and a downward effect on the remaining public airport.     

A profit-maximization location-capacity model for designing a service system with risk of service interruptions

This paper considers the design of an immobile service system in which each facility’s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider’s profit and the sum of customers’ transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.     

Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data

Accessibility metrics are gaining momentum in public transportation planning and policy-making. However, critical user experience issues such as crowding discomfort and travel time unreliability are still not considered in those accessibility indicators. This paper aims to apply a methodology to build spatiotemporal crowding data and estimate travel time variability in a congested public transport network to improve accessibility calculations. It relies on using multiple big data sources available in most transit systems such as smart card and automatic vehicle location (AVL) data. São Paulo, Brazil, is used as a case study to show the impact of crowding and travel time variability on accessibility to jobs. Our results evidence a population-weighted average reduction of 56.8% in accessibility to jobs in a regular workday morning peak due to crowding discomfort, as well as reductions of 6.2% due to travel time unreliability and 59.2% when both are combined. The findings of this study can be of invaluable help to public transport planners and policymakers, as they show the importance of including both aspects in accessibility indicators for better decision making. Despite some limitations due to data quality and consistency throughout the study period, the proposed approach offers a new way to leverage big data in public transport to enhance policy decisions.     

Verkehrsverbund: the success of regional public transport in Germany, Austria and Switzerland

The Verkehrsverbund system of public transport organization offers a practical solution to the problem of providing integrated regional public transport service for the increasingly suburbanized metropolitan areas of Europe and North America. By carefully coordinating fares and services for all routes, all types of public transport, and all parts of the metropolitan region, Verkehrsverbund systems in Germany, Austria, and Switzerland have greatly improved the quality of the public transport alternative to the automobile. Five Verbund systems were chosen for detailed analysis: Hamburg, Munich, the Rhein-Ruhr region, Vienna and Zurich. This article documents the success of each Verbund in attracting more public transport riders and, in most cases, increasing or at least stabilizing public transport's share of modal split. It also analyzes the reasons for the success of the Verkehrsverbund, including service expansion, improvement in service quality, more attractive fares, and extensive marketing campaigns. The five case study systems offer lessons for other public transport systems facing similar challenges of dealing with increasing auto ownership and suburbanization. The article concludes with an analysis of the most challenging problem of all: public transport finance. As shown dramatically by the five case studies, the service improvements and fare structures needed for truly effective regional public transport require substantial government subsidy. Fiscal austerity at every government level is leading to subsidy cutbacks in most countries of Europe and North America. The five case study systems examined in this article provide lessons on how to deal most effectively with limited subsidy funds in order to minimize service deterioration, fare increases and ridership losses.     

Purpose-driven public transport: creating a clear conversation about public transport goals

Public transport faces an increasingly intense conflict between patronage goals and coverage goals. Broadly speaking, patronage goals seek to maximize patronage of all types, while coverage goals lead to the provision of service despite low patronage – to achieve social inclusion objectives for example. The conflict between these goals follows inevitably from the underlying structure of the public transport product, including both its costs and geometry.The tradeoff between patronage and coverage is the type of value-judgment that elected officials are paid to make. The paper presents a means of quantifying the tradeoff, to facilitate public discussion and decisions on how to balance these priorities. These strategies are designed to ensure that the decision about how to balance social versus patronage goals is made consciously rather than inadvertently, with a clear understanding of the consequences of the choice.     

Understanding modal choice for the trip to school

This paper examines the factors that lead parents to select travel modes for their children’s trip to school. It does so with reference to parents whose children attend a suburban school in Auckland, New Zealand, where walking and driving are the two main travel options. Four focus groups were conducted in order to understand parents’ transport decisions. This approach revealed the significance of the following factors: perceived distance and time constraints; concerns about children’s health and fitness, as well as their competence; road safety and congestion issues; and social norms. We conclude that the reasons leading parents to drive are manifold, and, as such, a variety of interventions is needed to promote walking.     

Impact of culture on tourist decision‐making styles

This paper developed and tested an integrative model to examine the relationship between tourism decisions and their cultural background. The model was tested using surveyed data from 400 tourists travelling to Lisbon, a cultural city and the capital of Portugal. The results of a structural equation analysis revealed that culture affect tourist decisions. The decision to visit Lisbon relies on its quality, brand and price. This decision is shaped by the likelihood of visitors to accept social differentiation (power distance), moderated by their sense of individualism as well as their long‐term orientation. Implications and suggestions for future research are discussed. Copyright © 2010 John Wiley & Sons, Ltd.     

Competitive multi-facility location games with non-identical firms and convex traffic congestion costs

This paper studies a set of heterogenous competitive firms simultaneously locating facilities at a set of locations to serve a set of markets. Firms incur firm-specific transportation, congestion, and location costs, and market price is linear and decreasing in the amount shipped to the market by all firms. First, firms’ market-supply decisions for given facility locations are characterized using a variational inequality formulation. Then, firms’ location decisions are analyzed. A heuristic method is provided for finding equilibrium locations, and its computational efficiency is compared to a random search method.     

Design of international assembly systems and their supply chains under NAFTA

The purpose of this paper is to provide a decision support aid for the strategic design of an assembly system in the international business environment created by NAFTA. The strategic design problem is to prescribe a set of facilities, including their locations, technologies, and capacities, as well as strategic aspects of the supply chain, selecting suppliers; locating distribution centers; planning transportation modes; and allocating target levels (i.e., amounts) for production, assembly, and distribution. The objective is to maximize after-tax profits. This paper presents a mixed integer programming model that represents the complexities of the international design problem as well as relevant enterprise-wide decisions in the US–Mexico business environment under NAFTA. It deals with a broad set of design issues (e.g., bill-of-material restrictions, international financial considerations, and material flow through the entire supply chain) using effective modeling devices (e.g., linearizing non-linearities that arise in modeling transfer prices and allocating transportation charges). Examples demonstrate how managers might use the model as a decision support aid.     

Urban rail systems investments: an analysis of the impacts on property values and residents’ location

Light rail, metro and other urban rail transit systems can play a significant role in improving the attractiveness and quality of urban public transport. They can influence the attractiveness of locations near the stations and improve accessibility for these locations. Furthermore urban rail can improve a location’s attractiveness by its image effect: it makes a station appear modern and dynamic, and thus raises the status of this location.This paper summarises findings on the land-use and economic impacts of the urban rail system of the city of Naples over time and space. It examines changes in residential and non-residential (offices and retail) property prices around the newly built stations between 2001 and 2008 as well as the changes in the number of residents for the same station catchment areas. Ad hoc station control areas have been specified in order to compare the results of these changes. Results show that values in station control areas are lower than those of those of the stations catchment areas.     

High unemployment and tourism participation*

This paper analyses individual tourism participation decisions during a worldwide economic downturn. Given the nature of tourism services, a reduction in habitual consumption is highly probable during an economic crisis. Since the unemployment rate is strongly correlated with the economic cycle, the hypothesis that is discussed concerns whether residents’ decision to participate in tourism is affected by their region's level of unemployment. More specifically, it is suggested that unemployment not only affects the tourism participation decision of those who are out-of-work, but that aggregate unemployment (measured as the region's unemployment rate) also has a bearing on such decisions made by individuals in general. The results that were obtained for a set of EU countries show that the unemployment level has a positive effect on the probability of not going on holidays. This effect emerges when there is an unemployment rate of over 10%.     

Spatially dispersed employee recovery: An airline case study

Employee recovery addresses either employee well-being or management's practices in aiding employees in recovering themselves following a service failure. This paper surveys the cabin crew at a small, European, low-cost carrier and investigates employees' perceptions of management practices to aid personnel achieve service recovery. Employee recovery within service research often focuses on front-line employees that work in a fixed location, however a contribution to the field is made by investigating the recovery of spatially dispersed personnel, such as operational personnel in the transport sector, who have a work place away from a fixed or central location and have minimal management contact. Results suggest that the support employees receive from management, such as recognition, information sharing, training, and strategic awareness are all important for spatially dispersed front-line employees' satisfaction with management's actions and overall employee recovery.     

Rural traffic management: The Burrator Reservoir experiment

The introduction of traffic management schemes has been one response of the National Parks to the problem of ever-increasing car-borne visitors and the consequent damage caused to the rural environment. By reviewing these schemes and by determining and explaining attitudes towards one particular traffic management experiment, the paper aims to deduce lessons for future policy. The analysis, based on two visitor surveys, suggests that the likelihood of success is improved when schemes are integrated, containing both ‘carrot’ and ‘stick’ elements. Since public perceptions are also found to be pivotal to its success, appropriate marketing of a scheme is vital. The paper concludes, however, that to achieve the fundamental objective of greater accessibility with less mobility, a more wide-ranging marketing effort is required intended to engender a sea change in attitude towards both the car and public transport.     

At‐destination visitor information search and venue decision strategies

Numerous studies have been conducted on consumers' information search prior to arrival at a destination. This study attempts to continue to fill a research gap focusing on travellers' information search behaviour for services not only before the trip but in transit to the destination and once at a destination. In particular, the research explores service‐related decisions before and during a trip, the sources of information utilised, which include locals residing at a destination, and how demographic and trip purpose characteristics influence decision‐making. Using the results of this study, practitioners and academics alike can design effective strategies for marketing to travellers. Copyright © 2007 John Wiley & Sons, Ltd.     

Determinants and spatial variability of after-school travel by teenagers

This research work targeted teenagers to investigate after-school travel patterns and factors affecting their modal choice characteristics in Okinawa, Japan, where teenagers are not allowed to drive. The analysis is based on the cross-sectional data collected for discrete choice modeling of students’ travel in the prefecture. In this study, high school students’ trips from school to home have been analysed using a multinomial logit model. This has revealed the impact of individual, modal, and spatial variables on the mode choice decisions and return trip patterns. A comparative analysis made of downtown and suburb schools exposed differences in travel patterns induced by spatial factors and some existing constraints in modal choice options.     

Performance measurement of a transportation network with a downtown space reservation system: A network-DEA approach

We propose an evaluation approach for a novel travel demand management strategy known as the downtown space reservation system (DSRS). This approach takes into account three perspectives, i.e., transportation service provider’s, the user’s, and the community’s and is based on network-Data Envelopment Analysis (DEA) where the perspectives are inter-related through intermediate inputs/outputs. Two types of network-DEA models (radial and slacks-based models) are considered. An example is provided using data propagated from a microscopic traffic simulation model of the DSRS. The results show that individual node performance can drive network DEA performance and that this information can inform future designs of the DSRS.     

Coping with second home tourism: responses and strategies of private and public service providers in western Sweden

Second homes have increasingly gained academic attention, not least within tourism research. Nevertheless, most studies have addressed the topic from the perspective of the second home owners, highlighting issues such as motivation for second home ownership, use patterns, geographical location, and meanings of second homes. Even the impacts of second homes have mainly been addressed as the accumulated outcome of their owners’ decisions. Hence, second homes have mainly been conceptualized as personal/family projects. Relatively little research has been done on the ways local communities cope with second home tourism. This is the departure point for this paper, with the purpose of analysing coping strategies among public and private stakeholders regarding second home tourism. It is argued that communities have various ways of coping, ranging from resistance to resource utilization. The proposed conceptual framework is empirically applied to the case of the Swedish West Coast. In an interview survey of public and private service providers, different strategies are identified. The results of the survey indicate that second home owners are increasingly seized on as a resource that can be utilized for business development. Ultimately, institutional preconditions imply that second homes remain a challenge for local municipalities.