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.     

Regional dispersion of potential accessibility quotient at the intra-European and intranational level. Core-periphery pattern,discontinuity belts and distance decay tornado effect

The regional differences in the level of accessibility and GDP per capita in Europe are the subject of many scientific analyses and much applied research. Using the road network for the whole continent and the division of Europe into transport areas on the basis of NUTS 3, we have concentrated on the potential quotient as a research method. The quotient is a ratio of economic and population potential, and its level and spatial distribution differ based on the dimensions of accessibility: spatial scope (intra-European and intra-national) and impedance. Depending on the variants of the above-mentioned accessibility dimensions, we focus on analysis of the core-periphery pattern. Based on a comparison of the level of GDP per capita with the level of potential quotient, we define the discontinuity belts in the cross-border areas and in urban agglomerations, i.e. areas particularly sensitive to migratory movements or commuting to work. In turn, the analysis of regional differences in the level of the potential quotient for different travel durations and, as we call it in the paper, the value of the CATCH-time, leads us to show the so-called tornado effect which is associated with declining spatial polarisation as a result of the extension of trip distribution towards longer trips. The typology presented describing the relationship between GDP per capita and the level of potential quotient at different spatial scales and for different trip durations allows the identification of regions particularly exposed to migration or interregional commuting flows and is a good premise for defining inner peripheries.     

Territorial cohesion impacts of high-speed rail under different zoning systems

Large-scale transport infrastructure projects such as high-speed rail (HSR) produce significant effects on the spatial distribution of accessibility. These effects, commonly known as territorial cohesion effects, are receiving increasing attention in the research literature. However, there is little empirical research into the sensitivity of these cohesion results to methodological issues such as the definition of the limits of the study area or the zoning system. In a previous paper (Ortega et al., 2012), we investigated the influence of scale issues, comparing the cohesion results obtained at four different planning levels. This paper makes an additional contribution to our research with the investigation of the influence of zoning issues. We analyze the extent to which changes in the size of the units of analysis influence the measurement of spatial inequalities.The methodology is tested by application to the Galician (north-western) HSR corridor, with a length of nearly 670 km, included in the Spanish PEIT (Strategic Transport and Infrastructure Plan) 2005–2020. We calculated the accessibility indicators for the Galician HSR corridor and assessed their corresponding territorial distribution. We used five alternative zoning systems depending on the method of data representation used (vector or raster), and the level of detail (cartographic accuracy or cell size). Our results suggest that the choice between a vector-based and raster-based system has important implications. The vector system produces a higher mean accessibility value and a more polarized accessibility distribution than raster systems. The increased pixel size of raster-based systems tends to give rise to higher mean accessibility values and a more balanced accessibility distribution. Our findings strongly encourage spatial analysts to acknowledge that the results of their analyses may vary widely according to the definition of the units of analysis.     

Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities

The relationship between high-speed railway (HSR) construction and economic development has become a significant concern in recent decades. This study uses the spatiotemporal panel data of China's HSR construction and economic development from 2008 to 2018 as bases to discuss the spatial–temporal heterogeneity of the relationship between HSR and the urban economy. Firstly, this research measures the accessibility of different dimensions (i.e. location accessibility, potential accessibility and daily accessibility), and assesses the regional disparity of HSR accessibility and urban GDP using the Gini index. Secondly, the direct and indirect effects of HSR on economic development are analyzed from the global perspective by using the spatial Durbin model. Lastly, the geographically and temporally weighted regression model is applied to assess the spatial–temporal heterogeneity of the correlation between HSR and economic development from a local perspective. The conclusions are as follows. (1) The construction of HSR might reduce the regional disparity of daily accessibility, but expand the disparity of potential accessibility and location accessibility. (2) From a global perspective, HSR has a significant positive impact on urban economic development, but this impact was mainly produced by the spillover effect and not the direct effect. Specifically, the smaller the spatial–temporal distance between cities, the higher the level of regional integration and the better the economic development of cities. (3) The HSR impact on urban economic growth has a periodic feature. The stimulation of large-scale railway construction will expand the economic effect of HSR, although network improvement will gradually converge the corresponding impact. (4) From a local perspective, the HSR impact on economic development has significant spatial heterogeneity. Although HSR has a certain inhibitory effect on the economic development of Eastern China, it has a positive impact on the economic growth of the western region.     

Transit-based job accessibility and urban spatial structure

Job accessibility is a measure of people, opportunities, and transportation system that are fundamental elements of urban spatial structure. Therefore, job accessibility can be used as a tool to understand urban spatial structure. Studying transit-based job accessibility can provide more insight into inner cities. To study transit-based job accessibility, a person-based approach is needed in order to take full consideration of the elements. However, person-based approaches are substantially restricted by the availability of individual trip data. This paper takes a simulation approach to study transit-based job accessibility. First, transit-dependent worker agents are generated using a population synthesis. Then the agents are enabled with job search and commuting capabilities. Once the agents are deployed in a commuting simulation, individual commuting trips are recorded. An individual job accessibility index is developed based on simulated commuting trips. The index is normalized with an expected value of 1.0 and a measurable uncertainty level, which makes it easy to interpret and suitable for cross-regional studies. A case study is conducted in Tucson, Arizona, where about 10,000 transit-dependent worker agents produce more than 600,000 individual commuting trips during morning and afternoon peak hours. Census block, group-level job accessibility shows a random spatial pattern that coincides with a dispersed urban spatial structure of the case study area.     

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.     

Circuity in urban transit networks

This paper investigates the circuity of transit networks and examines auto mode share as a function of circuity and accessibility to better understand the performance of urban transit systems. We first survey transit circuity in the Minneapolis–St. Paul, Minnesota, region in detail, comparing auto and transit trips. This paper finds that circuity can help to explain mode choices of commuters. We then investigate thirty-five additional metropolitan areas in the United States. The results from these areas show that transit circuity exponentially declines as travel time increases. Moreover, we find that the circuity of transit networks is higher than that of road networks, illustrating how transit systems choose to expand their spatial coverage at the expense of directness and efficiency in public transportation networks. This paper performs a regression analysis that suggests the circuity of transportation networks can estimate transit accessibility, which helps to explain mode share.     

The European high-speed train network: Predicted effects on accessibility patterns

The principal aim of this paper is to evaluate the impact of the future European high-speed train network on accessibility, by reducing time distance between places and modifying their relative location. We compare the current situation with that foreseen for the year 2010, according to the Outline Plan of the European High-Speed Train Network, in order to analyse which areas will most benefit from construction and improvement of the infrastructure. It is hypothesized that the high-speed train will certainly bring the peripheral regions closer to the central ones, but will also increase imbalances between the main cities and their hinterlands. A weighted average distance indicator is applied for this purpose. This measure identifies the spatial distribution of accessibility in the area of study, emphasizing the infrastructure effects, and locates accessibility changes at the European level. A Geographic Information System (GIS) has been used to carry out this study.     

Mapping accessibility in Belgium: a tool for land-use and transport planning?

This paper compares the spatial structure of car accessibility to towns and to railway stations during peak and off-peak hours in Belgium for the country’s 2616 municipalities. A clustering method is applied. It is shown that in a highly urbanised country, the situation is far from being spatially equitable in terms of accessibility, and some areas are more favoured than others. Congestion increases spatial inequalities, differently according to absolute or relative measures of change. By means of examples, this paper shows that even simple accessibility indicators could be useful to support decisions taken by planners and politicians (e.g. as regards the development of residential, industrial and business park areas). Maps indicate the spatial inequalities in terms of accessibility to urban centres and transport nodes, and the impact of congestion on these inequalities. The absolute and relative time losses due to congestion affect different areas in different ways. The location of new developments further increases the congestion problem and the spatial disparities. This paper also insists on the caution that should be adopted when measuring and interpreting “accessibility”, its measurements, its inputs, its temporal changes in absolute and relative terms as well as the need for spatially disaggregated data.     

An approach to imputing destination activities for inclusion in measures of bicycle accessibility

This paper proposes a new method to estimate bicycle accessibility for various trip purposes based on a massive dockless bike-sharing dataset in Shanghai, China. Specifically, a Dirichlet multinomial regression topic model (DMR model) is applied to identify bicycle trajectories' trip purposes, simultaneously considering arrival time and drop-off location. Based on obtained trip purposes, we estimate impedance functions using a negative exponential function. Finally, based on estimated impedance functions, two cases of bicycle accessibility for two different purposes - restaurant and hospital - are presented in Shanghais central area. The results show that almost 90% of bicycle trips are less than 30 min or 5 km. Although the difference between the impedance functions between various trip purposes is not significant, we find that trip purposes of “Work and School” have the highest travel impedance for bicyclists. Cyclists in Shanghai accept longer bicycle travel times for leisure (e.g., shopping) than for commuting (e.g., work or school).     

Impacts of high-speed rail on the inequality of intercity accessibility: A case study of Liaoning Province,China

The rapid development of Chinese high-speed rail (HSR) not only improves the convenience of daily transportation, but also promotes the regional economy of cities along the HSR lines. Accessibility improvement and spatial inequality reduction caused by HSR would play a positive role in transportation development projects appraisal and help achieve the regional coordinated development. Our purpose is to assess how much improvement of economic potential accessibility can each city get from the HSR based on the existing highway and HSR networks, as well as the changes in spatial disparity and accessibility distribution patterns. Taking Liaoning Province as a case, this paper studies the spatial pattern and inequality of accessibility in two intercity transportation scenarios using a gravity-based model. The sensitivity analysis of the parameter and the test of different mass indicators are also conducted. The results show that cities in the central areas have better accessibility than peripheral areas. Cities in the peripheral areas and near the HSR lines tend to benefit more from HSR. The inequality of accessibility decreases a lot in cities with HSR access but only has a minor reduction on a whole scale.     

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.     

Measuring cycling accessibility in metropolitan areas

Different measures of cycling accessibility have been widely introduced in transportation planning. However, those measurements are mainly restricted by the availability of travel behavior data. In addition, there has been limited comprehensive research on the importance of cycling accessibility to destinations based on the travel time or distance. In this paper, a new index for measuring bikeability in metropolitan areas is introduced. A Cycling Accessibility Index (CAI) is developed for quantifying cycling accessibility within local areas in metropolitan Melbourne, Australia. CAI is defined according to gravity-based measures of accessibility. This index measures cycling accessibility levels in terms of diversity of different land uses, number of activities in statistical areas, and the travel impedance between origins and destinations. The Victorian Integrated Survey of Travel and Activity (VISTA) dataset was used to evaluate the index and investigate the association between the cycling accessibility levels and the number of bicycle trips in local areas. The index is assessed by investigating the association between levels of cycling accessibility and the number of bicycle trips in statistical areas. Key findings indicate that there is a significant positive association between bike trips and the CAI.     

Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment

This paper proposes a methodology to measure spatial spillovers of transport infrastructure investment and to monetize them by distributing the costs of the infrastructures envisaged according to the regional distribution of the potential accessibility benefits. We use a transport master plan (the Spanish “Plan Estratégico de Infraestructuras y Transporte” 2005–2020, PEIT) as a case study for applying our methodology. In order to calculate and map regional spillovers, economic potential values are computed using network routines in a Geographic Information System (GIS) by comparing two scenarios: firstly, the scenario PEIT 2020; and secondly the scenario which includes the improvements envisaged for the year 2020 in all the regions except the region whose spillover effects are being analyzed. The differences between these two scenarios represent the potential spatial spillover effects of this region on the rest of the regions. This procedure is repeated for each of the Spanish regions in order to calculate a matrix of inter-regional spillovers in economic potential units. In a second step, this matrix is monetized by distributing the costs of the investment in infrastructures envisaged in the region according to the regional distribution of the economic potential benefits. This inter-regional matrix of investments flows characterizes the “inner”, “export”, and “import” values of each of the regional road investments. Subtracting from the direct investment the exports to other regions and adding the imports from other regions, an estimation of the real investment of the plan in each region taking into account all the spillover effects is obtained. This value can be compared with the direct investment in the region, analyzing whether one region has more or less direct investment than real. The proposed methodology makes it transparent which regions benefit more from national transport investment irrespective of where the investment occurs. The spillover matrix can be a valid instrument, especially in federal states or in the case of transnational projects, in the field of regional economics because it offers very useful information for both planners and policy makers.     

Measuring the long-distance accessibility of Italian cities

Long-distance accessibility is a crucial element for economic development and for territorial cohesion. To be revealing, however, a measure of accessibility must not only consider the distance or travel time of a single mode, but should include the fares, the frequency and the interchanges of all available modes.The paper aims to address whether and where there is an accessibility problem between Italian regions, through a comprehensive measure of accessibility covering the entire Italian territory. The measure used in the paper is potential accessibility, with an exponential decay impedance function. Different from similar studies, this one gives a more in-depth definition of impedance parameters due to the availability of a transport model that includes the entire Italian long-distance supply (roads, coaches, long-distance rail services, air services, and ferries). The opportunities at destination are proxied by population, and private and public sector employees.The main outputs are detailed maps of accessibility that are significantly more realistic than using simple infrastructure indicators or single-mode measures. In addition, some policy conclusions are drawn in terms of past and future investment policies.     

Logistics facilities for intra and inter-regional shipping: Spatial distributions,location choice factors,and externality

Existing studies of urban logistics facility locations and their impacts on negative externality tend to focus on the movements of freight that start and end within a metropolitan area and overlook the role of the shipments with origin or destination outside of the urban area – external shipments – in characterizing logistics facilities. This research aims to fill such gap. Focusing on the Tokyo Metropolitan Area, we analyze locations and goods vehicle trips associated with four logistics facility groups that have different splits between intra and inter-regional trips for inbound and outbound shipments. The spatial density analysis and the location choice modeling highlight the differences in the distribution and location choice factors among those groups. The importance of trip distance minimization is more evident for the facilities that serve intra-regional shipments. Furthermore, we show that the traffic impacts of goods vehicle traffic associated with logistics facilities also differ in many ways among the above-mentioned groups. Finally, we discuss the policy insights to address their heterogeneity in the contribution to externality.     

Cluster-mapping procedure for tourism regions based on geostatistics and fuzzy clustering: example of Polish districts

ABSTRACT

In tourism, the phenomenon of spatial agglomeration (concentration of economic activity) spreads beyond the borders of the territorial units. It is referred to as geographic ‘spillovers’ that enhances spatial interdependence and functional relationship of neighbouring regions. Within the standard procedure of cluster-mapping, only concentration inside a territorial unit may be analysed which is a source of biased results in tourism studies. However, tourist agglomeration centres sometimes occur at the juncture of territorial units and the economic entities located in them form spatial clusters with a different degree of membership to several centres of agglomerations located in the neighbourhood. Therefore, we propose to measure ‘inter-regional’ agglomeration in tourism providing modification of spatial autocorrelation measures (regarding neighbourhood and distance). In order to measure neighbourhood more precisely, we use geostatistical information (global positioning system (GPS) coordinates of tourism entities) and geographically weighted fuzzy clustering approach (FGWC). We examine the method on the example of Polish districts (NUTS-4) using database of 131,338 firms registered in section I (accommodation and food services) of Polish Classification of Activity in 2015. The results proved that a novel method of cluster-mapping considering spatial dependency combined with geographic information system (GIS) and FGWC method increases the accuracy of the identification of tourism clusters (inter-regional agglomeration).     

Improved road accessibility and indirect development effects: evidence from rural Philippines

This paper develops earlier conceptual frameworks and methods for analyzing the indirect development effects of improved road accessibility. The creation of economic opportunity and response to economic opportunity are the two concepts used in the theoretical framework, while time-series data, a road accessibility inventory, and a multi-criteria analysis were the methods used to analyse the indirect effects among households and household firms. A weakness of many impact studies is that they merely chart aggregate economic development. The method employed here includes access to resources by various groups and therefore enables the focus to shift from mere aggregate economic development to also encompass equitable and sustainable social development. The study focused on a rural Philippine fishing community, previously characterized by poor transport conditions and poor accessibility to major markets. It found that the benefits of the road improvement were considerable and benefited a great majority of the population in the fishing community. In addition to the extensive direct effects of the improved road, a number of complementary factors led to substantial indirect effects. These included: abundance of harvested resource in the community; a potential for technical innovations that increased production and productivity; available investment to support this increased production; abundant demand for this increased production in the market region (the market widened in spatial terms and prices were maintained).     

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.     

Proximity changes to what and for whom? Investigating sustainable accessibility change in the Gothenburg city region 1990–2014

This paper operationalizes the concept of sustainable accessibility by emphasizing the environmental and social dimensions of sustainability from a spatial perspective. In doing so, we develop a heuristic model that focuses on the crucial dimensions of who gets access to what by using sustainable means of movement. We apply our conceptual approach in an examination of trends in sustainable accessibility for different social groups living in Gothenburg, Sweden between 1990 and 2014. On the basis of welfare-related and time-geographical considerations, we investigate accessibility by proximity for low- and high-income earners, people with small children, and elderly people. We investigate to what extent proximity to fundamental facilities increases or decreases over time, indicating changing conditions for sustainability. The results show that opportunities for living a local life and achieving accessibility via proximity differ socially. Low-income earners and the elderly generally live closer to the facilities important for daily life than do high-income earners and parents of young children. We also show that the opportunities for various social groups to obtain access by proximity change over time. For example, we observe a trend in which over time older people face reduced opportunities to reach daily facilities in their local neighborhoods.