Understanding air travellers' trade-offs between connecting flights and surface access characteristics

This paper reports on a study which seeks to improve our understanding of how people choose between different kinds of flight at competing airports, and how their choices are affected by access conditions. In particular, using stated choice data collected in Scotland, it investigates whether improving surface access to regional airports that are in relatively close proximity to one another (Glasgow and Edinburgh) leads people to avoid taking indirect flights from their nearest airport in favour of direct flights from an alternative airport. In line with expectations, our estimation results from Cross-Nested Logit models show strong aversion to connecting flights, resulting in a willingness to either pay higher fares for direct flights or accept non-trivial increases in access time. For the latter, even without the potential new direct rail link between the two airports, current access times are such that a scenario where direct flights were only available at the non-home airport, a substantial share of passengers would choose to travel from the alternative airport.     

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.     

Social exclusion, location and transport disadvantage amongst non-driving seniors in a Melbourne municipality, Australia

Over the past decade, researchers have refocused their attention upon the interconnection between locationally disadvantaged communities and poor transport services in order to better understand social exclusion. Limited access to private and public transport has often been identified as a major contributing factor to social isolation and economic poverty that certain groups in the community experience. To date, an insufficient amount of research attention has focused on the elderly or seniors, who are often identified as being subject to social exclusion because of difficulties associated with travelling outside their homes to access services and facilities especially for non-car drivers. Moreover, a disproportionate amount of research undertaken on transport related forms of social exclusion in Australia has understandably looked towards the outskirts of its major urban centres, where services and facilities are sparsely located and generally only accessible by car. This paper provides a different insight by analysing a middle distant municipality where large spatial concentrations of seniors are to be found, some of whom do not have ready access to a car or have difficulty accessing the public bus service. Using a variety of data sources for a municipality in Melbourne, this case study reveals that social exclusion of non-car driving seniors is reinforced by a regional public transport system that cannot adequately service the entire municipality. For now, the incidence of locational and transport related disadvantage is restricted to small pockets of the municipality, but as seniors age and surrender their car driving licences this problem could become more serious. The study concludes by calling for more analyses to be undertaken into transport engendered social exclusion if this problem is to be contained as the post-war baby-boomers generation ages across most of the middle suburbs of Australian cities.     

The impact of local work and residential balance on vehicle miles traveled: A new direct approach

This paper introduces a new approach for explaining the effects of spatial competition for opportunities based on a cumulative opportunities measure of accessibility. We focus on the case of the labor market where some municipalities offer too few workplaces for their local population, forcing some of their residents to long drives. We apply this new accessibility measure to explain households' annual mileage in Switzerland using a Heckman model to account for carless households.We find that car travel demand is much greater in municipalities with a relative undersupply in the local labor market compared to a balanced or oversupplied local labor market. The results show that driving increases with greater distance to the labor market center. The model estimates allow policy makers and planners to quantify as a first assessment the expected average mileage in each municipality for new settlements and to identify municipalities with low expected annual mileage.     

Safety classification using GIS in decision-making process to define priority road interventions

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.     

Optimizing station location and fleet composition for a high-speed rail line

This paper proposes a new strategic planning model for high-speed rail ventures. It is a mixed-integer optimization model that applies to a given line and focuses on two key strategic decisions: station location and fleet composition. Our purpose is to improve on previous station location models by including fleet composition decisions. In the new model, we additionally take into account in an approximate fashion the interrelationships between strategic and subsequent tactical decisions, regarding line planning, train scheduling and fleet assignment issues. The usefulness of the model is demonstrated for a case study involving a planned Lisbon-Oporto high-speed rail line.     

Tourism development — centres versus peripheries: the Israeli experience during the 1990s

Initially tourism was potentially considered as a vehicle for reducing inequalities in regional development through the spread of resources from the more developed regions of a country to its less developed areas. Later, case studies demonstrated that, although certain peripheral areas have emerged as tourist attractions, the large urban centres gained even more in terms of tourism‐generated investment and income. This study examines the Israeli situation comparing tourism development indicators in central versus peripheral areas. Although the two largest cities of Jerusalem and Tel Aviv appear to attract much of the country's investment in tourism hotels and enjoy a large flow of visitors, data for the 1990s reveal that peripheral areas are having higher share in tourism than their counterparts in the central areas. Furthermore, compared with their proportion in the general population, the peripheral areas location quotient related to tourism development indicators is far higher than that of the central areas. The single largest centre of tourism is now located in the town of Elat, situated in isolation in the southernmost tip of the country. The resort areas of Tiberias on the Lake of Galilee in the northeast and that of the Dead Sea area in the southeast came to be large tourism centres. Also, the most flourishing B&B industry has developed in the northern peripheral area. The study contemplates whether or not the Israeli experience is applicable to other countries and concludes with an attempt to draw broader generalisations. Copyright © 2004 John Wiley & Sons, Ltd.     

A combined MCDM model based on DEMATEL and ANP for the selection of airline service quality improvement criteria: A study based on the Taiwanese airline industry

The aim of this study is to select airline service quality improvement criteria for the Taiwanese airline industry. Numerous factors such as low railway prices, the development of high-speed rail, increases in petroleum prices, increases in foreign airline competition, and the recent economic depression have led many airlines in Taiwan to encounter financial difficulties and even closure. Researchers have begun to identify critical service quality improvement criteria with the goal of increasing the competitive advantages of airlines. Most of the selected criteria, however, suffer from a major technical problem: all of the measurement dimensions are independent, leading to inadequate criteria for measuring service quality. Our calculations consider the interrelationships and effects among the evaluation dimensions and criteria to precisely rank and select criteria. The value of this study is that it provides airlines with a direction for measuring and improving their service quality with the goal of developing sustained competitive advantage over the long term.     

Long-term impact of network access to bike facilities and public transit stations on housing sales prices in Portland,Oregon

Planners and economists generally accept that housing market values increase with proximity to transportation facilities through the provision of improved access to activity locations. While the market benefits of rail station access are well-documented, inconsistent and insufficient methods have led to limited agreement on the true value associated with this locational amenity. Far fewer hedonic price studies have assessed the influence of bike facility access on housing sales prices, and those that have generally analyze cross-sectional data. In this study, we estimated a spatial hedonic model using a bootstrapped pseudo panel to determine the joint impact of network proximity to bike lanes and off-street multi-use paths, as well as light rail and streetcar stations, on housing sales in Portland, Oregon, from 2002 to 2013. Our findings revealed housing sales prices increased as network distance to the nearest light rail transit and streetcar station decreased. Likewise, owner-occupied single-family and multifamily housing sales rose in conjunction with reduced street network access to regional multi-use bike paths; however, improved proximity to on-street bike lanes negatively affected housing values. In sum, we believe these findings may help to inform non-automotive transportation infrastructure financing mechanisms that rely on rising property values.     

Diminishing effects of location? Some evidence from Swiss municipalities, 1950–2000

This paper analyzes how location has affected, in the second half of the twentieth century, the population growth of 2889 municipalities in Switzerland. The analysis demonstrates the temporal relativity of location attributes, even for small territorial divisions, such as the Swiss cantons. However, we also show that, both absolute and relative location attributes have weakened over time as population growth predictors, apparently due to improving road infrastructures, and growing motorization. The study has been made possible by a detailed historical population and accessibility database available for Swiss municipalities. To the best of our knowledge, no database of such scope and quality is available for any other European country.     

Rail infrastructure charging and on-track competition in Germany

Germany was one of the pioneers amongst the European railways in opening up the network for third party access and introducing track access charging schemes. Several rail companies run services on the tracks of the incumbent company DB. This paper analyses the rules for network access, the track access charging scheme and the problems of competition in the rail market. The focus is on regional rail passenger transport due to the fact that this is the most lucrative and promising market for new entrants. The main result is that in this segment in particular non-DB companies have increasingly used the chances which were opened by (paid) access to DB tracks and competitive tendering by regional authorities. However, although their market share has grown DB is still the major carrier. The failure to set an appropriate institutional and regulatory framework has proven to be the major obstacle to a more intensive competition in the rail market.     

Public bicycle as a feeder mode to rail transit in China: The role of gender,age, income,trip purpose,and bicycle theft experience

A marriage between public bicycle and rail transit presents new opportunities for sustainable transportation in Chinese cities. To examine determinants of public bicycle usage for rail transit access, an intercept survey of feeder mode choice among rail transit users was conducted near rail stations in Nanjing, China. Mode choice models were estimated with five feeder mode alternatives, including car, bus, walk, private bike, and public bike. By differentiating between public and private bicycle modes in the mode choice models, the study reveals the effects of personal demographics, trip characteristics, and station environments on public bicycle usage for rail transit access. Results show that female, older, and low-income rail commuters are less likely to use public bicycle to access rail transit. Rail commuters with bicycle theft experience and making school- or work-related trips are more likely to use public bicycle to access rail transit. Land use variables are largely insignificant in this study except that density shows a positive relationship with walking to rail transit. The results on demographic differences raise equity concerns when it comes to investing in public bicycle systems. Policy implications are discussed for Chinese cities to equitably boost public bicycle integration with rail transit.     

Population growth,accessibility spillovers and persistent borders: Historical growth in West-European municipalities

Lack of cross-border transport supply has repeatedly been blamed for the fact that national borders limit spatial interaction and, consequently, the growth of border regions. This study applies an accessibility approach to investigate for most municipalities in ten countries in mainland West Europe if foreign transport supply is lagging behind, and if population growth in these municipalities has been affected by the limits that national borders have imposed on market access. To do so, data describing historical population changes and road networks between 1961 and 2011 have been used. The results show that in the study area, cross-border transport accessibility was not at a disadvantage in 1961 and has since then grown even more than domestic accessibility. However, municipal population growth has depended almost exclusively on domestic market access. Processes of economic international integration in the study area are found to coincide with the growth of cross-border accessibility, but do not have a clear coincidence with the effects of cross-border accessibility on population growth.     

Stochastic seat allocation models for passenger rail transportation under customer choice

We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers’ choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.     

Shipping design for compliance and the performance contingencies for shipping firms

Increasing number of shipping firms adopt green shipping practices that emphasize environmental management throughout their operations. To balance productivity with the environment, the design of shipping activities in compliance with energy saving and resources conversation is an important part of greening efforts by many shipping firms. This study investigates how the green practices on shipping design for compliance (SDC) adopted by shipping firms is related to their financial and service performance with the role of company policy and procedures and shipper cooperation examined. We find that SDC is beneficial for the financial and service performance of shipping firms. Based on the contingency theory, we argue further that company policy and procedure as well as shipper cooperation differentiates the performance outcomes of shipping firms in their SDC for environmental management. Our empirical findings show a positive relationship of SDC with service performance particularly when their company policy and procedure and shipper cooperation are characterized at high than low levels in the process. However, such strengthening effects are not found for the relationship between SDC and the financial performance of shipping firms.     

Modeling hazardous materials risks for different train make-up plans

This paper is concerned with the problem of how to place hazardous material cars in the train assembly process so that the overall derailment risk can be minimized. The approach considers both the probability of railway cars derailing en route by position as well as the risk associated with additional operations in the rail yard using recent US FRA data. The merits of this car placement model are illustrated through a case study of a railway corridor that connects Los Angeles (CA) to Chicago (IL). The case study demonstrates that the proposed risk minimization strategy could be implemented with minimal rail yard operation cost.     

The role of transportation accessibility in regional economic resilience

Whereas the importance of transportation for economic growth is widely acknowledged, past studies on the resilience of regions to economic shocks have not given explicit attention to the role of transportation accessibility on building robust regional economies. This exploratory study examines the regional performance in six U.S. states during the last recession (2008–2009) and post-recession (2010–2014) and evaluates its association with the transportation infrastructure. To account for spatial dependence and interactions, a exploratory spatial data analysis (ESDA), a global spatial autoregressive model, and a local Geographically Weighted Regression (GWR) are employed. Results show that, after controlling for other key aspects of resilience, such as industrial diversity and human capital, the global relationships between rail density, access to intermodal services, and access to local and regional markets were positively associated with regional performance (measured as competitive effect) during the recession. Similarly, positive regional performance before the recession period was associated with positive performance during the recession. The local spatial analysis, however, shows that the associations between the explanatory variables and regional performance vary significantly across space. The analysis and results of this study can contribute to a better understanding of the complex interactions between economic resilience and transportation infrastructure, and guide the development of policies and practices designed to strengthen the ability of regions to be resilient to economic shocks.     

Spatio-temporal patterns of subjectively reported congestion in Tel Aviv metropolitan area

Traffic congestion is still one of the major problems of urban transportation. It is the aggregate outcome of individual, subjective, decisions in a changing traffic environment.The individual’s decision making is affected, among other factors, by experience and direct information from the surrounding environment, or indirectly from the media. The subjective map created from this information provides the cognitive environment within which the driver makes decisions. This study examines the spatio-temporal changes in the subjective map of reported congestion as formed by radio broadcasts in the Tel Aviv metropolitan area. It aims to evaluate the spatio-temporal stability of the emerged congestion patterns as a basis for subjective decision making, and to explain its variability as a necessary base for any effort to relieve congestion. Results show that non-recurrent heavy congestion is likely to be unstable. The spatio-temporal fluctuations of congestion were found to associate with traffic volumes caused mainly by weekly-based commuters which include university students, soldiers, and government employees. Reported information was found suitable for longitudinal research, the only kind which enables a broad understanding of the spatio-temporal pattern and dynamics of traffic congestion.     

Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership

In this study, we employ spatial regression analysis to empirically investigate the impacts of land use, rail service coverage, and rail station accessibility on rail transit ridership in the city of Seoul and the surrounding metropolitan region. Our analyses suggest that a rail transit service coverage boundary of 500 m provides the best fit for estimating rail transit ridership levels. With regard to land use, our results confirm that density is positively related to rail transit ridership within a 750 m radius of each station. In contrast, land use diversity is not associated with rail transit ridership. We also found that station-level accessibility is as important as land use for explaining rail transit ridership levels. Finally, we conclude that development density and station-level accessibility measures such as the number of station entrances or exits and the number of bus routes at the station are the most important and consistent factors for promoting rail transit ridership.     

Weather and rail delays: Analysis of metropolitan rail in Dublin

With changes in the global climate, the occurrence of severe weather events appears to be becoming ever more frequent. As a result of this, vital transport networks are becoming increasingly exposed to disruption or disablement due to weather related incidents. In order to adapt to these changing conditions it is important to gain an understanding of how weather currently impacts transport systems. This paper presents the results of a statistical analysis of the impact of weather conditions on the performance of metropolitan commuter rail based upon observations made on the Dublin Area Rapid Transit (DART) rail system. Utilising a dataset comprising daily performance observations for 30 train services operating across the DART network, this research applies a number of multiple regression models to gain an understanding of the role of weather, temporal effects, and resulting interactions, on delays experienced by the network. While research in this area has traditional focused on the impact of single events, this study presents an examination of the role of multiple factors and their interactions. With regard to temporal effects, the largest delays are observed in the last third of the year, with peak delays occurring in November. Delays due to adverse weather conditions are observed, with rain being the primary factor related to poor performance. Interactions between different weather conditions, particularly wind and rain, as well as between weather conditions and the month in which a journey took place were also observed to be significant and resulting in delays to services.