Accessibility modelling: predicting the impact of planned transport infrastructure on accessibility patterns in Edinburgh,UK

The achievement of good spatial accessibility and equity in the distribution of urban services is one of the supreme goals for urban planners. With Scottish Government backing, the City of Edinburgh Council (CEC) has started to construct a tram network to cater for the future needs of Scotland’s capital city by providing an integrated transport solution using trams and buses. Spatial Network Analysis of Public Transport Accessibility (SNAPTA) which is a GIS-based accessibility model has been developed to measure the accessibility by public transport to different urban services and activities. The model responds to several limitations in other existing accessibility models in planning practice. It offers an alternative and practical tool to help planners and decision makers in examining the strengths and weaknesses of land use – transport integration. SNAPTA has been applied to a pilot study in Edinburgh city to identify the contribution of the infrastructure improvements of the tram system and Edinburgh South Suburban Railway (ESSR) to improved accessibility by public transport to six types of activity opportunities. This paper outlines the concept and methodology of the SNAPTA model, and presents the findings related to this pilot study with a focus on changes in potential accessibility to jobs between four different public transport network scenarios. The accessibility values so obtained help to identify the gaps in the coverage of the public transport network and the efficiency in the spatial distribution of urban services and activities. The findings focus on whether the planned transport infrastructures for Edinburgh will lead to better accessibility and reduced inequity (in terms of accessibility) across the city.     

Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line Madrid–Barcelona–French border

This paper evaluates the accessibility impact of the future Madrid–Barcelona–French border high-speed line. Accessibility impact of the new infrastructure is measured by means of three indicators: weighted average travel times, economic potential and daily accessibility. These indicators respond to different conceptualizations and offer complementary information about the issue accessibility. The results are quite different: very concentrated effects in the daily accessibility indicator, less concentrated in the economic potential one and more dispersal in the location indicator. The sign (polarizing/balancing) of these effects depend on the geographic scale: polarizing effects at the national level and balancing effects at both corridor and European levels are identified. A geographic information system (GIS) was used to carry out this study.     

Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth,Western Australia

Approximately one-fifth of Perth’s population is aged 60 or older. Projections suggest that this proportion will continue to increase as a result of the large number of children born after the World War II (1946–1964). Access to and accessibility around train stations for the aging population is and will become a more important issue as the elderly population continues to grow. The aim of the paper is to develop and apply a new measure of accessibility to train stations at a fine spatial scale, justified by the special circumstance of the elderly using a case study in Perth, Western Australia. Intercept surveys are used to collect data on factors affecting train station accessibility for patrons aged 60 years or older, at seven highly dispersed train stations. Overall accessibility is measured separately using a composite index based on three travel modes (walk-and-ride, park-and-ride and bus-and-ride). The results illustrate that key variables, such as distance from an origin to a station, walking or driving route directness, land-use diversity, service and facility quality, bus connection to train stations, all affect the accessibility to train stations for the elderly. This implies that improvements to these factors will improve accessibility for this population group.     

Evaluating the European added value of TEN-T projects: a methodological proposal based on spatial spillovers, accessibility and GIS

This paper develops a methodology for calculating the European value added value (EVA) generated by transport infrastructure projects. This approach is particularly useful for evaluating projects in the framework of Trans-European Transport Networks (TEN-T), although it may also be used in trans-national projects in other geographical areas. The methodology is based on the appraisal of spatial spillovers generated by trans-national projects by using accessibility indicators (access to markets) and Geographical Information Systems (GIS). Projects are split into sections and spillover effects of each section are then computed. The sections that produce a high proportion of spillovers in relation to internal benefits generate a high EVA. Additionally, indicators are obtained of the effects of each section in terms of spatial concentration on the different countries affected, efficiency (general improvement in accessibility) and territorial cohesion (reduction in accessibility disparities between regions). The validity of this approach is verified by applying it to TEN-T priority project 25. This methodology does not seek to replace existing project appraisal methodologies (particularly the cost-benefit analysis); rather it provides complementary data for decision-making. Sections which are scarcely profitable from the cost-benefit analysis perspective but which have high European value added should receive more European funding than more profitable sections of markedly national interest.     

A ticket to ride: Evolving landscapes of air travel accessibility in the United States

During the past decade, air passenger service in the United States has been exposed to numerous carrier bankruptcies, antitrust investigations, mergers, labor problems and a massive increase in competition. These internal elements, combined with the rising costs of fuel and the threat of terrorism combine to make a relatively uncertain air travel landscape for both passengers and operators. Moreover, these dynamics have generated significant geographical shifts in airline route structures and airports serviced by commercial carriers. These factors, combined with increasing levels of consumer access to fare and routing information, have altered the landscape of air travel accessibility in the United States. The purpose of this paper is to examine issues of consumer air travel accessibility through an analysis of three critical measures: flight segments, flight time and ticket costs. In addition, a typology of air passenger accessibility is generated for the 156 busiest commercial airports in the United States using these three measures. Results suggest significant local and regional biases in time and cost, relative to distance, for many US markets.     

Environmental impact of Italian canned tomato logistics: national vs. regional supply chains

The environmental impact of food transportation is site and product specific and depends on the direct relation between origin-to-destination distance and logistic efficiency, as pointed out by the relevant literature. This paper analyses a very specific case, comparing the impacts of transportation generated by the logistics of two brands of Italian canned tomato purchased in Sassari (Sardinia, Italy), one extending over the whole continental Italian territory, the other mainly located in the island of Sardinia. Different sale (supermarket chain vs. independent retailers) and shopping (foot vs. car) modalities are also considered. The contributions to global warming, local pollution and traffic congestion are considered.The case study shows that the logistics of the national brand is much more polluting than the regional, not only because of the longer distance between origin and destination, but also because the additional distance that is needed to reach logistic hubs is not compensated by higher load factors. Instead, the logistics of the regional brand is based on a very efficient point-to-point organization. This result is generalizable to all regional supply chains featuring high volumes of product. Results of the case study also depend on: a) the high impact of packaging transportation, because of the very low weight/volume ratio of empty cans; b) the high CO₂ emission coefficient of lorries and trailers transportation by ferry (Ro–Ro). The case study also stresses the very high impact of shopping by car.     

A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network

The urban growth of large cities in China is at a critical stage with the booming of the economy and impressive increase of the population and traffic demand. This paper studies and qualifies the growth and accessibility of a rapid rail transit network, and characterizes the relations with urban development using a spatio-temporal modelling approach. Several measures of the network topological structure, i.e., beta index (β), cyclomatic number (μ), alpha index (α) and gamma index (γ), are selected in order to examine and quantify the overall metro network growth of the city of Guangzhou in China. The results show that the current spatial connectivity of the Guangzhou’s metro network is relatively low, this stressing the need to augment the reliability of the connections between the network nodes, and to increase the number of circuits in the network. A travel-time matrix is modelled and evaluates the nodes accessibility and characterizes the spatio-temporal evolution of the metro network. The spatial interaction between the different nodes of the network, as well as nodes accessibility are analyzed and derived from a potential-based model. The extension of the metro network clearly shows a dramatic tendency of positive accessibility evolution but with regional differences. In particular, the core of the city is surrounded by areas with highest accessibility values and gradually expanding outward from the core, while the locations of transfer stations have significant influence on the variation of network time-based accessibility. Taking into account different network development scenarios, the approach reveals regional accessibility differences in the metropolitan area of the city of Guangzhou, this clearly illustrating the impact of network accessibility in urban development.     

A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks

The magnitude 7.0 earthquake that struck Haiti in January 2010 led to an unprecedented effort in collecting and providing geographical information in support of humanitarian aid. Although most of the compiled datasets and generated maps were able to provide specific and detailed information regarding the location of damaged buildings and road interruptions, none or little information was available to describe the accessibility—or otherwise—of the urban space. Here we try to offer an alternative method to define the urban accessibility landscape in the aftermath of earthquake damage, by combining simple graph theory concepts and GIS-based spatial analysis to assess how the urban space accessibility decreases when the road network is damaged.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Transport and social exclusion: access to higher education in the UK policy context

This paper examines the student experience of transport, within the context of two hitherto distinct discourses. Firstly, the transport and social exclusion discourse, which highlights the role that low mobility plays in the experience of exclusion. Secondly, the widening participation discourse, which emphasises inequitable access to and achievement in higher education (HE) by non-traditional students as a component of social exclusion. The paper reports the results of a series of focus groups, undertaken with current HE students from a diverse range of backgrounds, many of whom may be considered to be non-traditional students. Results suggest that inadequate access to transport is a substantial barrier to access and achievement in HE, for these students. This highlights the influence of transport upon the successful implementation of social policy. Without consideration of transport and the physical accessibility of HE, the aim of increasing and widening participation in HE is unlikely to be realised.     

Road accessibility and articulation of metropolitan spatial structures: the case of Madrid (Spain)

In the last few decades, rapid growth in mobility has facilitated the inclusion of distant places in metropolitan processes and the modification of traditional metropolitan areas into Polycentric Urban Regions. This paper aims to understand the articulation of metropolitan urban regions through a diachronic road network accessibility analysis with a focus on the Madrid Metropolitan Region (Spain) over a period of general increase in accessibility. The findings reveal that the metropolitan core has been reinforced and that its influence area has expanded. However, the main contribution of this work is the proposal of a methodological approach to identify city-profiles among the sub-centres organising the emerging polycentric urban structures.     

Utilizing urban form characteristics in urban logistics analysis: a case study in Lisbon,Portugal

Within the realm of urban logistics, Macário (2013) developed a hypothesis, denominated the Logistics Profile (LP) concept that suggests homogeneous groups of urban zones with respect to three dimensions, which could be used to analyze freight movement policy: (1) the social and built environment; (2) characteristics of the goods/products being moved; (3) characteristics of the deliveries at the receiver establishment. The concept was expected to ease the transferability of best practices in city logistics, by analyzing similarities and differences between zones. This research uses a quantitative methodology to apply the LP concept, and assess its potential, using the city of Lisbon as a case study. The analysis is focused on: (a) the extrapolation of freight trip generation per establishment and delivery characteristics from a sample of commercial establishments to the population within the case study, (b) proposing a methodology to test the LPs, (c) testing the existence of proposed LPs. Freight trips have been extrapolated using a Multiple Classification Analysis (MCA) model. Freight delivery characteristics were attributed to establishments from a sample-based probability distribution. LPs were tested using a two-step cluster analysis. Some LPs have been matched with clusters of case-study zones, subject to case study particularities. Profile overlap was not an issue and occurrences were expected. The testing showed that Logistic Profiles have the potential for being used as a departure point for urban freight planning and policy analysis.     

Location of cargo terminals in metropolitan areas of developing countries: the Brazilian case

This article presents a procedure for establishing and ranking the areas that are candidates for building truck cargo terminals, based on the analytic hierarchy process (AHP) and considering location factors, with focus on accessibility considerations, expressed by indicators derived from graph theory. Accessibility is thus defined objectively for each area, contemplating its needs regarding production or consumption of cargo or promotion of intermodal transport of products. The proposed approach determines the most suitable area for locating the terminal according to the perception of each actor participating in the process as well as the set of actors, seeking to conjugate conflicting interests and facilitate convergence and the establishment of negotiated solutions. With this, it provides a more transparent and participative decision-making process and supplies basic elements for government bodies to formulate their socioeconomic development policies. The application of this procedure in the greater Rio de Janeiro metropolitan region demonstrated its feasibility in developing countries and in contexts with restricted data, funding and planning.     

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.     

Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia

This paper aims to explore the factors influencing a potential air passenger shift to autos due to the completion of the Trans Java Toll Road and an increase in airfares. The study focuses on intercity trips for nonbusiness purposes. A face-to-face interview survey of 751 air passengers was conducted in three main airports on Java Island, Indonesia. Both the theory of planned behavior and the discrete choice model were applied to understand the factors for influencing toll road use among air passengers. The empirical results reveal that psychological factors, consisting of attitudes, subjective norms, and perceived moral obligations significantly influenced intentions to use the toll road. Meanwhile, perceived control of external resources was essential for airline passengers in their intention to use toll roads. Sociodemographic factors such as age, gender, income, frequency of airplane use, travel time, and cost also significantly influenced the decision to drive. Female, older passengers, high-income passengers, and frequent flyers were more likely to continue flying. The finding confirms that the Trans Java Toll Road affected a decline in air demand on Java Island. However, traveling with family members, rather than airfare hikes, became a more substantial reason for air passengers to switch to driving the toll roads. This research found that air passengers were inelastic related to changes in travel time, while 6% were willing to switch due to airfare increases of 10%.     

The dark side of logistics outsourcing - Unraveling the potential risks leading to failed relationships

We identify and empirically examine the potential risk factors and their structural relationships that can cause a logistics outsourcing relationship to fail. Specifically, we investigate how the relationship risk as perceived by apparel wholesalers as user firms influence their evaluation on the asset and competence entrusted with their logistics service providers, which are logistics outsourcing risk factors considered important by the former in determining continued relationships with the latter. The results highlight the need for relationship management by user firms to mitigate the risks in asset and competence specifically invested in logistics service providers for their outsourced activities.     

Investigating the impact of recession on transportation cost capitalization: a spatial analysis

The unprecedented economic crisis experienced by Greece is fertile ground for research at myriad levels. In this paper, the authors aim to investigate the effects of the crisis on real estate prices by measuring the impact of transportation infrastructure location. For the purposes of this research, on-line real estate data collected in 2011, when the consequences of the crisis were still uncertain, and in 2013, when a significant decline had been observed, are combined.The analysis is based on various spatial statistical methods. In order to identify potential common price patterns, G spatial clustering is first performed. Spatial error models (SEM) are then developed to parameterize the real estate prices. The results show that, overall, purchase prices have been reduced by 18.2% and rents by 15.2%. More specifically, the positive impact of metro station locations (<500 m) has declined 42.5% for purchase prices and 62.5% for rents. Moreover, dwellings located in the Inner Ring are still more expensive than others; however, the impact of the crisis has been reduced by 30.3% for purchases and 50.7% for rents. On the other hand, the negative impact of ISAP station locations (<500 m) has declined by 53.5% for purchase prices.The findings of this paper could be of great interest to the transportation policy research community and could be used to better predict the benefits and costs of public transport investment under extremely uncertain conditions, such as a long-lasting recession.     

The impact of carbon emission fees on passenger demand and air fares: A game theoretic approach

The implementation of an environmental market-based measure on U.S. aviation industry is studied. Under this policy, each airline pays a carbon fee for the carbon dioxide emissions it generates. The impact on ticket prices and corresponding market shares is investigated via the joint estimation of an air travel demand model and an airlines' behavior model. In the demand model, aggregate air traffic data is used to determine the marginal effects of flight attributes that are specific to itinerary, airline and airport on market share. The airline's behavior model incorporates the carbon fee in the airline marginal cost. After the implementation of the carbon policy, the increased cost forces airlines to adjust ticket prices in order to maximize profits. The results obtained by the proposed model indicate a moderate price increase which strongly depends on the per tonne carbon price. Air travel demand falls from 2.4% to 21% depending on the carbon price level.