The economic impact of aviation: A review on the role of market access

In recent decades, advancements in telecommunications and (air) transportation have driven globalisation processes. Consequently, policymakers and scholars view access to transportation as an essential prerequisite for economic development. For aviation, existing empirical studies have attempted to estimate the wider economic impacts from regional, country-level and global perspectives. However, no theoretical framework has yet been presented that comprehensively captures the full set of mechanisms by which aviation can contribute to economic development. Such a framework would cover both positive and negative regional impacts, as well as the mechanisms and spatial distribution behind them. In this paper, we use a New Economic Geography approach to comprehensively describe the impact mechanisms. We then apply this theoretical framework to an empirical study of metrics of air transport supply, which policymakers and researchers can use to assess how well airports and their surrounding regions are connected by means of the air transport network. The results of our analysis can inform scholars and policymakers on how air transport can shape economic geography and the productivity of economic systems. The results might also provide guidance for future empirical work on the wider economic impacts of air transportation.     

Accessibility gains and road transport infrastructure in Spain: A productivity approach based on the Malmquist index

Accessibility, the relative access to markets, is a strategic concept in all economic models with a spatial dimension and its prominence has been acknowledged in many economic research fields and policy debates. This paper is based on the assumption that infrastructure drives economic accessibility and, therefore, we can assimilate a production function approach where the road network constitutes a set of inputs yielding access to markets as output. Methodologically, we originally measure the infrastructure inputs accounting for the real used network and calculate a series of new final and intermediate demand gravity-based and locational indicators, which capture a wide range of economic transactions and represent different concepts of economic accessibility outputs. The value added of this paper is translating a non-parametric frontier approach (DEA) to a dynamic scope (Malmquist indices) by connecting the regional accessibility to the productivity of the road infrastructure inputs associated with each region. Results during 1995–2005 show a low relative accessibility of the Spanish NUTS-3 regions, although improvements have been greater over the last five years. Finally, we observe a U-inverted relationship between the accessibility gains during these years and the geographical localization.     

Twenty years of accessibility improvements. The case of the Spanish motorway building programme

This paper presents an exploratory spatial data analysis of accessibility impacts of a large-scale national motorway building programme. Accessibility is calculated for Spanish municipalities from 1980 to 2000 using two indicators: motorway network access and market potential accessibility. The average distance from municipalities to their nearest motorway has been reduced markedly over this period. Market potential accessibility maps show that there have been gains in all locations, but some of the highest gains occurred in some of the more peripheral regions. A review of the theoretical and empirical literature on the economic impacts of transport investments indicates important implications for regional development.     

Airports in their urban settings: towards a conceptual model of interfaces in the Australian context

In Australia, airports have emerged as important sub-regional activity centres and now pose challenges for both airport operation and planning in the surrounding urban and regional environment. The changing nature of airports in their metropolitan context and the emergence of new pressures and problems require the introduction of a fresh conceptual framework to assist the better understanding of these complex roles and spatial interactions. The approach draws upon the meta-concept of interfaces of an ‘airport metropolis’ as an organising device consisting of four main domains: economic development, land use, infrastructure, and governance. The paper uses the framework to further discuss airport and regional interactions and highlights the use of sustainability criteria to operationalise the model. The approach aims to move research and practice beyond the traditionally compartmentalised analysis of airport issues and policy-making by highlighting interdependencies between airports and regions.     

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.     

南通市综合交通枢纽布局优化对策

为推进南通市交通运输转型发展,优化交通基础设施空间一体布局,在经济增长中发挥好支撑引领作用,在阐述南通市综合交通枢纽布局现状、发展定位和存在问题的基础上,从强化对外综合运输通道建设、畅通周边城市城际交通网络、提升市域集散网覆盖通达水平、大力发展多式联运系统和促进综合货运枢纽高效衔接5个方面提出南通市综合交通枢纽布局优化对策。综合交通枢纽的布局优化,有利于完善南通市的枢纽功能,进一步提升其在全国综合交通体系中的战略地位,发展枢纽经济,实现经济转型,加快打造成长三角北冀经济中心。     

Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States

The role of spatial spillover associated with the infrastructure–economy relationship has received increasing attention in the literature. Surprisingly, in previous studies, the potential spatial spillover effect of transportation infrastructure on economic output in the U.S. agricultural sector has not been taken into account given the sector’s importance in the economy and dependence on transportation. The broader effects, including the direct effect and spatial spillover effect, of transportation infrastructure on agricultural output across 44 states in the United States from 1981 to 2004 are estimated in this study. A spatial Durbin panel data model that catches spatial dependence in both dependent and explanatory variables is used. The results suggest that road disbursement in a given state has positive direct effects on its own agricultural output. Also, the spillover effect of road infrastructure on agricultural output in neighboring states varies with respect to the spatial weight matrix used in the model. Moreover, our analysis shows that enhancement in road infrastructure in the states in the U.S. central region has a larger positive spillover effect on agricultural output when compared to coastal or border states.     

Discovering temporal and spatial patterns and characteristics of pavement distress condition data on major corridors in New Mexico

Roadway networks, as part of transportation infrastructure, play an indispensable role in regional economies and community development. The high-quality pavement serviceability of these networks is essential to ensure safe, cost-effective daily traffic operations. In-depth analyses of network-wide pavement surface condition data are necessary inputs for optimal pavement design and maintenance, traffic safety enhancement, and sustainable traffic infrastructure system development. This study aims to investigate various pavement distress condition performance measurements and their correlations to better understand temporal–spatial characteristics of roadway distress based on pavement distress condition data collected in New Mexico from 2006 to 2009. Eight major corridors across various urban and rural areas were selected for analyzing pavement surface-distress conditions and discovering their intrinsic characteristics and patterns across both temporal and spatial domains. The results show that there are not strong correlations among different distress measurements, implying the rationality of the current pavement performance measurement protocol used by the state transportation agencies. Regression models were established and GIS-based spatial analyses were performed to extract temporal and spatial patterns of Distress Rate (DR) data. The model results illustrate significant correlations of the DR data on the same route between two consecutive years, which can be partially characterized by a Markov process. GIS-based spatial investigations also show unique features of pavement condition deterioration attributed to diverse geometric characteristics and traffic conditions, such as vehicle compositions and volumes and urban and rural areas. The research findings are helpful to understand the characteristics of pavement distress conditions more clearly and to optimize traffic infrastructure design and maintenance.     

Spatial patterns of landside trade impedance in containerized South American exports

The paper addresses claims implicating higher domestic transportation costs as a significant barrier to Latin America's trade and economic integration - and the region's inadequate transportation infrastructure as the primary cause. The relative “trade space” for U.S.-bound containerized shipments is delineated via reverse spatial interaction modeling. Reconfiguration and reverse calibration of the doubly constrained spatial interaction model is used to derive functional distances between origins and ports of export, as a means of estimating a Trade Impedance Quotient (TIQ) for trade flows at the scale of the continent. Global and local statistics of spatial autocorrelation are then used to analyze the spatial pattern of trade impedance. With this approach, the analysis of containerized flows establishes the existence, extent, location, and spatial distribution of discrepancies in South American landside trade impedance. A large share of trade flows have trade impedance that is disproportionate to distance. Trade impedance at origins is spatially clustered for the total dataset and randomly distributed for commodity segments, and randomly distributed at destinations. Potential focus areas for high trade impedance are identified.     

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.     

Spatial coverage index for assessing national and regional transportation infrastructures

Development of the transportation planning process at various decision levels (strategic, tactical, and operational) has strengthened the need for specific indicators as the basis for decision-making. Within the decision-making structure, however, the most popular indicators for national and regional analysis (i.e., extension, density) are still based on a legacy of limited technology and data availability. Growth in spatial of technologies, such as GIS, and reliable georeferenced databases can support new approaches to analyzing those indicators that shed light on infrastructure and service availability frameworks. This paper synthesizes and expands the former Roadway Coverage Index (RCI) as a Transport Spatial Coverage Index (TSCI) based on the concepts and characteristics of specific indicators, using the currently available tools, and taking into account network spatial behavior. Based on its structure, the TSCI is more robust and reliable than other approaches (network extension, spatial density, and population density), and it also has sound and convenient features for planners and decision makers towards national and regional infrastructure planning.     

Spatial spillover effects of transport infrastructure: evidence from Chinese regions

This paper examines the possibility of spatial spillover effects of transport infrastructure in Chinese regions. We estimate the regional spillovers of the transport infrastructure stock by applying a spatial Durbin Model for the time-period 1978–2009, and also three sub-periods, 1978–1990, 1991–2000 and 2001–2009. The results indicate that positive spillovers exist in each period due to the connectivity characteristic of transport infrastructure at the national level. At the regional level, transport infrastructure spillover effects vary considerably over time among China’s four macro-regions: the eastern region enjoyed positive spillovers all the time; the northeastern region had no significant spillover effects in 1978–1990, negative spillovers in 1991–2000, and positive spillovers in 2001–2009; the central region had negative spillovers for the three sub-periods; for the western region, negative spillovers can be observed after the 1990s. The analysis indicates that changes in spillovers among regions are closely associated with the migration of production factors in China during the last decades.     

A multi-level spatial-temporal model for freight movement: The case of manufactured goods flows on the U.S. highway networks

The spatial production, attraction, and movement of manufactured goods are vital to the economy of a region and country. The U.S. department of transportation also mandates to incorporate continuing and efficient freight movement and infrastructure into statewide and local long range planning. Studies on supply, demand, and transport of manufactured goods by firm, industry, mode, or commodity are vast in the logistics and supply chain literature. However, relatively sparse research is available on aggregated movement or freight on national, state, or local transportation networks. Better understanding and modeling freight movement on highway networks to facilitate local transportation, land use, economic development, and comprehensive planning is at the heart of freight research. Therefore, the major endeavors and novel contributions of this research include a conceptual framework proposed for freight movement research, a multi-level spatial-temporal freight model based upon the social optimum assignment for optimal “from”, “to”, “within”, and “through” freight flows of manufactured goods on the U.S. highway networks, and a set of performance measures designed to reveal states in terms of their competitive advantages in production, attraction, self-sufficiency, or cross-road. The freight flows were first visualized and highlighted by state at the U.S. level, then by county at the state level for Oklahoma, and finally by traffic analysis zone for the Tulsa metropolitan area. The spatial split of freight flows was accomplished through using freight, network, and demographic-economic databases at state, county, and zone scales.     

Integrated land use and transportation interaction: a temporal GIS exploratory data analysis approach

Land use and transportation interaction is a complex, dynamic process. Many models have been used to study this interaction process during the past several decades. Empirical studies suggest that land use and transportation interaction patterns can be highly variable between geographic areas and at different spatial and temporal scales. This paper presents a temporal geographic information systems (GIS) design that offers exploratory data analysis capabilities to interactively examine land use and transportation interaction at user-specified spatial and temporal scales. A spatiotemporal interaction framework, implemented with temporal GIS databases, provides a foundation for the development of spatiotemporal analysis functions to systematically explore land use and transportation interaction.     

Road accessibility and cohesion in lagging regions: Empirical evidence from Portugal based on spatial econometric models

A number of transportation infrastructure projects were conducted in Europe during the 1990s with the explicit objective of promoting regional cohesion goals through the improvement of the accessibility of peripheral regions. Given its peripheral situation in the Union, Portugal was a key target for some of these projects. A decade later, it is pertinent to ask whether the new infrastructure achieved its objective of promoting lagging regions. The objective of this paper is to analyze one of the lagging regions in Portugal, to try to establish the link between changes in accessibility levels brought by improvements in the transportation network, and two indicators commonly used in accessibility research (population and purchasing power), while controlling other variables of possible relevance, such as the levels of educational achievement of the population in the region. The analysis is based on the use of spatially autoregressive models which allow the representation of accessibility as spatially lagged variables of first and second order. The results place the contribution of accessibility changes in context, and point at the relevance of education as an alternative policy.     

Restructuring Argentina's airline networks: Successes and challenges

Argentina's aviation networks underwent significant restructuring after the 2015 election of President Mauricio Macri. Historically constrained by poor aviation infrastructure, economic uncertainty, currency devaluations, labor unrest, comparatively weak passenger demand, and operational barriers to low-cost carriers (LCCs), Argentina's airline networks have experienced deep restructuring in both providers and network interactions. With less than 0.3 trips per capita in Argentina, compared to 3.0 in the mature U.S. aviation market, analysts argue that there is significant potential for moving bus and automobile travelers to airlines, and to expanding Argentina's airline connectivity profitably throughout the region. LCCs such as Flybondi, Norwegian, Air Europa, Sky, JetSmart, and others are challenging long-standing transportation relationships in the region and developing new routes for consumers. A set of interlinked questions aims to understand Argentina's changing aviation geography. Comparing O-D data from 1972, 1982, 1996, and 2019, the results indicate a significant reorganization of Argentinas domestic and regional network interactions, with modest adjustments to its global north-south connections. Challenges include outcomes of a recent change in Argentina's government and the long-term impact of the global COVID19 pandemic on the aviation system.     

Spatio-temporal fluctuations in the global airport hierarchies

The global air transportation network is responsible for moving millions of domestic and international passengers each year. Not surprisingly, relationships between airports vary widely, due to a myriad of geographic, economic, political and historical determinants. Further, given the dynamic nature of the many influences acting on the air transportation system, inter-airport relationships and the structure of the global air network as a whole are also constantly changing. The purpose of this paper is to explore such spatio-temporal variations in the structure of the global airport hierarchies. Here, we show how the concept of nodal regions can be applied to measure the extent of these variations. To facilitate this analysis, a database of nearly 900 airline carrier schedules and 4650 worldwide origins and destinations, representing a nearly complete record of commercial air travel over a six-year period, is examined. Given this dataset, nodal regions are derived for all airports represented. In general, results suggest that regions associated with individual airports are often relatively dynamic at the yearly as well as quarterly level. Los Angeles International Airport (LAX) is utilized as a local case-study to provide a detailed examination of these dynamics.     

Measuring the effect of transportation infrastructure on retail firm co-location patterns

This paper studies the effects of transportation infrastructure on the location behavior of competing retail firms. First, in a game theoretic framework that describes the location choices made by retailers with respect to each other, the connection between relative firm location and transportation demand is outlined. Second, a multivariate point pattern statistic based on this theoretical framework is applied to location patterns of fast food outlets to measure the effects that major road infrastructure has on firm location behavior in this sector.The results suggest that transportation infrastructure affects the location behavior of firms with respect to their location in relation to their competitors. Access to important transportation infrastructure induces competing outlets to locate next to each other—a tendency not necessarily observed among outlets without such access. Theoretically, this does not only affect economic outcomes, but also travel demand and consumer accessibility. The findings from this study stress the importance of accounting for how transportation infrastructure changes the location behavior of firms in travel demand frameworks.     

The spatial and temporal dimensions of the interdependence between the airline industry and the Chinese economy

The airline industry contributes largely to the economic development of a region. At the same time, the fortunes of the industry can also be affected by regional economic change. This paper uses geographically weighted correlation analysis to investigate the spatial heterogeneity and temporal change of this interdependence as seen in China over the years from 2005 to 2016. The results show that the interdependence between the airline industry and provincial economies is non-stationary, generally with a spatial variation along the east-west axis across China's provinces. Further, the temporal change in the interdependence was affected by specific economic changes, such as the global crisis of 2008, when it weakened. Specifically, air passenger activities in the eastern provinces were more sensitive to some economic changes of 2012, while air freight activities in the western and central provinces were more sensitive to the global economic crisis of 2008. The size of urban agglomeration and regional GDP also influence the spatial heterogeneity of this interdependence with weaker links as GDP increases. It is possible that liberalization of the airline industry could enhance the interdependence in advanced regions. Thus, our results provide significant policy implications for a joint focus on the development of the regional economy and the airline industry.     

What shapes local public transportation in Europe? Economics,mobility, institutions,and geography

This paper analyzes factors explaining supply and demand of local public transportation. Together with variables related to traditional economic factors and mobility, we consider variables reflecting institutional characteristics and geographical patterns. Being a political capital increases supply and demand of local public transportation, inequality is associated with higher supply, and contracting out reduces supply. Furthermore, our regional analysis allows us capturing the effect of geographical characteristics and different traditions of government intervention. In all, we provide first evidence on the role played by institutional and regional characteristics useful to achieve a better understanding of local public transportation supply and demand.