Impact of high-speed rail on regional economic disparity in China

This paper investigates a fundamental question related to the massive railway infrastructure development in China. What is the impact of high-speed rail (HSR) on regional economic disparity? The question is investigated from three perspectives. First, the influence of HSR on regional economic disparity is discussed theoretically from the perspective of New Economic Geography. Second, the variation in economic disparity at both the national and regional levels is investigated using three indexes: the weighted coefficient of variation, the Theil index and the Gini index. Third, the linkages between regional economic growth and HSR is measured empirically from a quantitative and qualitative perspective using an endogenous growth modelling framework with a panel data covering the period 2000–2014. The rail network density is adopted as a proxy to reflect the quantity change in rail investment. Three accessibility indicators (weighted average travel time, potential accessibility and daily accessibility) are introduced to capture the improvement of HSR transport quality. Our findings confirm that regional economic disparity has been decreased since the development of HSR. HSR has promoted regional economic convergence in China. Specifically, the positive effect of rail network density on regional economic growth is found to be significant in the East and North, whereas the positive effect of accessibility change is found to be more significant in the Middle Reaches of Yangtze River, the Southwest and the South China.     

The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018

The construction of South Korean High-Speed Rail (HSR) or Korea Train eXpress (KTX) has been evolving in phases since its first operation in 2004. This development raises concerns whether the benefits from the extended HSR network would again be limited to the initial HSR corridors and will deepen the inequalities in accessibility with the rising issue of uneven regional development of the country. This paper measures the accessibility of each stage of HSR network extension and evaluates its spatial distribution, variation, and changes using weighted averaged travel time and potential accessibility indicators. The results of this study find different accessibility impacts from each stage of HSR extension. Although travel-time reduction and increased attractions have been widened in more cities by each HSR extension, the spatial equity is degenerated by the extension in 2010/2011 as the improvement of accessibility has been concentrated in cities along the primary HSR corridor near the already-advantageous Seoul capital area. In contrast, the future HSR extension in 2018 will enhance equitable accessibility to the isolated regions such as the northeast and the southwest regions of the country. However, the relative degree of accessibility improvement will not be large enough for increasing the spatial equity of accessibility without more extended HSR networks between provinces.     

Impacts on accessibility of China’s present and future HSR network

Although the construction of China’s high-speed rail (HSR) network only started in 2003, the network is already the largest in the world. This paper analyses the impact of the evolving HSR network on the accessibility by HSR and conventional ground transport of 333 prefecture-level cities and 4 municipalities. This paper employs three indicators of accessibility, and analyses three Scenarios. It shows that the HSR network will bring about substantial improvement in accessibility, and lead to national time–space convergence, but will also increase the inequality of nodal accessibility between eastern, central, and western regions, between cities with different sizes of population (excluding the case of the daily accessibility indicator) and between cities that differ in the shortest distance to HSR stations. The HSR network enlarges internal disparities in each of the regions and the five types of cities. The internal inequality of nodal accessibility in all three Scenarios generally increases from the eastern region via the central region to the western region, as well as from very large cities to small cities, varying inversely with the level of economic development and population size. Spatially, accessibility increases generally conform to the distance decay rule but with minor fluctuations. The 50 cities with the largest increases in accessibility are mostly located 50 km or less away from HSR stations and have populations of over 3 million, with the smaller ones located along HSR lines or around large cities such as Beijing, Shanghai, and Guangzhou. As time progresses, the planned HSR network will result in more balanced development, but regional disparities in accessibility will still be greater than before the construction of the HSR.     

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.     

Evaluating accessibility impacts of the proposed America 2050 high-speed rail corridor for the Appalachian Region

Transportation improvements are often considered to be precursors of economic growth. This paper examines industry-specific ‘attractiveness’ due to changes in the transportation network for 23 counties in the Appalachian Region. The network improvements result from new highway construction and the proposed America 2050 High-Speed Rail (HSR) plan for the Piedmont Atlantic Megaregion. The impacted counties that are proximate to five HSR stations (Birmingham, Atlanta, Greenville, Charlotte, and Greensboro) are studied for potential accessibility changes between the years 2002 to 2035. The impacts are examined with respect to six key industry sectors found around the proposed HSR stations: manufacturing; retail; construction; mining, quarrying, oil and gas extraction; health-care services; and all other remaining industries combined. The analysis shows that, for transportation improvements with highways only (and no HSR), a decrease in accessibility for all the impacted counties occurs for the six industry sectors examined in the future year of 2035. The HSR speed of 150 miles per hour is found to be adequate enough to cause positive changes in potential accessibility of the directly impacted counties containing the Birmingham and Greenville HSR stations. With combined transportation network improvements from both highway construction and the new 150 mph HSR line, counties around the Atlanta and Greensboro HSR stations would see accessibility increases in 2035 compared to 2002 with respect to five industry sectors: manufacturing; retail; construction; health-care services; and all other remaining industries combined. However, accessibility changes with respect to mining, quarrying, oil and gas extraction would be positive specifically only for the indirectly impacted counties around the Atlanta HSR station and the county containing the Greenville HSR station. This clearly shows differences in the spatial distribution of attractiveness for different industry sectors across the impacted counties along the HSR corridor. Thus, this exploratory analysis could serve as an aid to proactive public policy decision-making for large-scale transportation network improvements, such as the HSR, in understanding and improving economic activities for different industry mixes across other regions of the United States.     

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.     

Impacts of high speed rail on railroad network accessibility in China

High speed rail (HSR) is changing the overall travel accessibility of cities in China. There have been a number of studies of high speed rail in China. However, detailed spatiotemporal accessibility pattern of cities affected by the operation of high speed rail in China has not been reported. This study takes a timetable-based accessibility evaluation approach to analyze the changes in travel time, travel cost, and distance accessibility for each of the four main stages of HSR development in China: no HSR service in Stage 1 before August 2008, several HSR lines in Stage 2 between August 2008 and July 2011, reduced operating speed of HSR trains in Stage 3 between August 2011 and November 2012, and addition of new HSR lines and reduction of ticket fares in Stage 4 between December 2012 and January 2013. In addition to the “corridor effect” and the “center-diffusion” pattern, this paper investigates the impacts of HSR on changes in in-vehicle travel time and out-of-vehicle travel time with respect to the policy changes that reduced the operating speed of HSR trains, rearranged the train timetable, and lowered the ticket fare on HSR trains. The analysis results indicate the spatiotemporal pattern of Chinese cities affected by these policy changes. This study is useful for assessing HSR impacts on the accessibility of various cities across China as well as serving as a decision-making support to policies related to adjustments of HSR operation and planning of future HSR routes by considering the existing HSR and non-HSR railway lines.     

Accessibility impacts of China’s high-speed rail network

The large-scale implementation of High-Speed Rail (HSR) network in China not only offers a new option for travelers’ mode choice, but also may influence, or even generate, the redistribution of demographic and economic activities. As has been observed over the past several years in other countries, the impact of HSR spans a wide range. However, few quantitative studies have been conducted to measure this impact. As a new attempt, this study uses accessibility analysis for quantifying the impact of China’s HSR network. Weighted average travel times and travel costs, contour measures, and potential accessibility are employed as indicators of accessibility at the macro or national level. Forty-nine major cities in the HSR network are used in the accessibility analysis. Accessibility quantification and spatial distribution analysis for the study cities are performed on a Geographical Information System (GIS) platform. Accessibilities associated with varying availabilities of HSR, conventional rail, and airline are estimated and compared. The selected indicators and computational methods are found effective in evaluating the accessibility impacts of HSR from different conceptualization strategies and perspectives. They also offer complementary information on accessibility capacity of the study cities created by the HSR network.     

Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006

This paper proposes an accessibility-based spatial mixed logit (SML) model with panel data structure to examine the impacts of High-Speed Rail (HSR) on land cover change in large urban areas. Using data between 1990 and 2006, impacts of the Spanish HSR on Madrid’s Atocha railway station influence area – a 20 km radius buffer centred on the station – were investigated. To model the HSR impacts, besides socioeconomic variables, the development of both local and regional transportation networks with corresponding accessibility improvement is also taken into account to segregate the impacts of land-cover change brought by different sources of accessibility measures. In this study, two SML models are used: one incorporates regional accessibility indicators as a base model, and the other does not, acting as a control model. The model estimation results reveal that the reduction of the local and regional weighted travel average time has positive impacts on the Atocha station catchment area’s urbanised land-cover rates. Although the base and control models both achieve high goodness-of-fit values, the base model that considers regional accessibility reveals a better goodness-of-fit statistic and is more robust than the control model. It is concluded that the improvement of regional accessibility due to the arrival of HSR at Atocha station plays an essential role in the urbanisation of land cover changes in the study area.     

Relevance of airport accessibility and airport competition

Airport accessibility is an important criterion for airport competition. The relevance of airport accessibility and airport competition was studied in this paper based on the panel data collected from nine large airports in Jiangsu province, China from 2005 to 2014. The results showed that the cost of expense, time and fatigue for the arrival at the airport are proposed to quantify levels of fastness, economy and amenity for the passengers to arrive at airport. The airport accessibility is significantly affected by airport passenger traffic and airline frequency. The passenger traffic can be increased by 2% with 1% increase of airport accessibility based on the analysis results of the nine large airports in Jiangsu province.     

Future accessibility impacts of transport policy scenarios: Equity and sensitivity to travel time thresholds for Bus Rapid Transit expansion in Rio de Janeiro

The accessibility impacts of transport projects ex-post implementation are generally evaluated using cumulative opportunity measures based on a single travel time threshold. Fewer studies have explored how accessibility appraisal of transport plans can be used to evaluate policy scenarios and their impacts for different social groups or examined whether the results of project appraisals are sensitive to the time threshold of choice. This paper analyzes how different scenarios of full and partial implementation of the TransBrasil BRT project in Rio de Janeiro (Brazil) will likely impact the number of jobs accessible to the population of different income levels. The analysis is conducted under various travel time thresholds of 30, 60, 90 and 120 min to test whether the results are sensitive to the boundary effect of the modifiable temporal unit problem (MTUP). Compared to a partial operation scenario, the full implementation of TransBrasil that extends this corridor into the city center would lead to higher accessibility gains due to network effects of connecting this BRT to other transport modes. Nonetheless, the size of the accessibility impacts of the proposed BRT as well as its distribution across income classes would significantly change depending on the time threshold chosen for the accessibility analysis. Considering cut-off times of 30 or 60 min, both scenarios of TransBrasil would lead to higher accessibility impacts in general and particularly for low-income groups, moving Rio towards a more equitable transportation system. However, under longer thresholds of 90 and 120 min, an evaluation of this project would find much smaller accessibility gains more evenly distributed by income levels. The paper highlights how time threshold choice in cumulative opportunity measures can have important but overlooked implications for policy evaluation and it calls for further research on the MTUP in future transport and mobility studies.     

Fair accessibility – Operationalizing the distributional effects of policy interventions

A fair distribution of public transport benefits is a commonly stated goal of agencies and operators of public transport. However, it is less complicated and costly to provide accessibility in some parts of cities and their surroundings than in other parts. Densely populated areas, and areas situated closer to the city center therefore often have higher public transport accessibility than remote or sparsely populated areas. Neglecting these realities results with an unrealistic assessment of equity in service provision and hampers their consideration when setting policy goals. In this study, we propose a framework for investigating equity in the distribution of accessibility, where the suggested goal is to provide residents with equal accessibility for equally dense and central areas. For the Stockholm County, we show that accessibility may seem to be distributed horizontally inequitable and vertically regressive. However, once controlling for how dense and close to the city center residents live, while still being horizontally inequitable the distribution of accessibility in Stockholm County is found progressive, i.e., benefiting those with lower incomes. We demonstrate the proposed method for the case of skip-stop train operations and find that it shifts our constructed accessibility measure toward a more horizontally inequitable and vertically progressive state. We conclude that our proposed method can be a potent way for public transport agencies to measure and concretize equity goals and evaluate policy changes.     

A multimodal approach to assessing accessibility of a high-speed railway station

In China, accessibility has been profoundly improved by the large-scale construction and operation of high-speed rail (HSR), with far-reaching implications for population flows and socioeconomic development. As a novel attempt to compare the shortest travel times, accessible regions, service populations, and population potential of one- to four-hour isochrones under four scenarios in Tanggu Railway Station (i.e., base scenario, hypothetical scenario 1, hypothetical scenario 2, and actual scenario), this paper analyses three factors' influences on and contributions to accessibility change: the advent of HSR, conventional railway route adjustment, and road network improvement. The results indicate that station accessibility significantly improved from 2007 to 2012. HSR has not only brought a time-space contraction effect to the region from the station to the north-western area but also strengthened interactions among different regions. Due to the reduction of some conventional railway routes, the shortest travel times from the station to the north-eastern areas have slightly increased. Although this factor has some negative effects, it has not affected the ascending trend of enhanced accessibility. Road network improvement is identified as a key factor with balanced impacts on all four-hour isochrones. The results of this study generate supportive information for the planning and construction of HSR stations and networks and provide references for comprehensive transport policymaking.     

Determining intra-urban spatial accessibility disparities in multimodal public transport networks

Urban rail systems have been added to public transport systems, thereby changing distribution disparities in urban spatial accessibility. These disparities reflect both the ability of the public transport system to meet the needs of residents and the locational pros and cons of public service facilities. In this paper, integrated accessibility metrics are used to assess the disparities in Nanjing, Jiangsu Province, China. This is achieved by dividing the urban space into a multilevel grid that can be easily combined with grid-based population data to facilitate accessibility modeling, calculation, and evaluation. Additionally, an acquisition method for more accurate travel time data in the multimodal public transportation network was developed on the basis of an Internet mapping service. This provides a realistic, multimodal, door-to-door modeling approach that avoids the requirement of building complex traffic networks through Geographic Information System (GIS) software and simplifies road network modeling efforts. The results show that this modeling method can be used to reflect the accessibility disparities in the Nanjing urban space objectively and accurately.     

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.     

Measuring the substitution effects between High Speed Rail and air transport in Spain

The main objective of this paper is to estimate the impact that the expansion of the HSR network has had on air transport in Spain by estimating the substitution effect between the two types of transportation. This paper considers the way that the HSR network has grown and how this growth could have affected air transport dynamically. The findings show that a dynamic vision of this substitution rate should be adopted, as opposed to assuming that the rate is constant, as has been the case in previous references. Although the rate varies significantly over the study period, only 13.9% of HSR passenger demand was found to have come from air travel during the 1999–2012 period, meaning that HSR and airlines would seem to offer more independent services than at first it might appear. This confirms the hypothesis as to the HSR’s great ability to generate its own demand. The substitution rate between the two transport modes seems to be closely linked to the way that any new stations are incorporated into the HSR network. Convergence between the seasonality of HSR and air transport has also been examined. The results show that it is difficult to talk of a real HSR transport network in Spain.     

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.     

The impact of the great recession on Irish air travel: An intermodal accessibility analysis

This paper quantifies the changes in accessibility at small area scale arising from the combined effects of dramatic air traffic declines and a greatly expanded motorway network in Ireland during the period of the great recession. The subsequent policy decisions by government are assessed in light of the intermodal accessibility changes identified. The Irish Government engaged in an extensive motorway construction programme throughout the 2000s, greatly increasing the overall length of the inter-urban motorway network. The essential air transport services programme put in place in the 1990s to guarantee a minimum level of air access to disadvantaged regions was significantly reduced at the end of the 2008–2011 period, with only two of the six regional airports continuing to have any form of subsidised public service obligation for the period 2011–2014. In this study, small area datasets are used to measure the net impact of these changes on air transport accessibility in Ireland and the potential spatial inequalities that arise as a result of these changes. An inter-modal accessibility approach is used where the physical characteristics of the road transport network to airports and the network structure characteristics of the air transport system are taken into account to evaluate the levels of air transport accessibility at the small-area district level. Results from the analysis show that the improved surface access to the larger Irish airports (Dublin and Belfast) has enhanced the range of European and global locations directly accessible by air for many communities in Ireland. The net effect of these changes has been to concentrate air traffic at the largest Irish airports.     

Impacts of high-speed rail lines on the city network in China

China's large-scale HSR network has a significant influence on both accessibility and connectivity, but little attention has been paid to its impacts on connectivity. Changes in connectivity largely affect the external relations among cities, thus influencing the structure of the city network. This paper examines the impacts of China's HSR network on the overall connectivity and nodal centrality of the city network, as evaluated by passenger trains from 2003 to 2014. This paper employs the graph index, average path length, clustering coefficient and three indicators of centrality, namely weighted degree centrality (WDC), weighted closeness centrality (WCC) and weighted betweenness centrality (WBC). The results show that the HSR network largely increased overall connectivity according to the increasing Beta index and clustering coefficient, and decreasing average path length. The HSR lines also increased the average centrality of the city network and the inequality of nodal centrality according to the WCC indicator, but they decreased the inequality of nodal centrality with regard to the WDC and WBC indicators. Meanwhile, the growing HSR network led to the centrality tended to intensify in large cities in terms of the WCC indicator, but intensify in small cities according to the WDC and WBC indicators. Spatially, the cities with HSR stations, population over 3 million and GDP over 100 billion RMB saw higher increases in centrality than the others; the cities with high values of WDC and WCC, especially the top 20 cities, tended to concentrate in the populous areas with well-developed economies (e.g., Yangtze River Delta), whereas the cities with high WBC values in 2014 were coupled with the hub cities of regional railway management administration.     

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.