1,721,076 research outputs found

    Consumer’s surplus: An equity measure of high speed rail investments

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    An economic analysis identifies, measures, and compares the costs and benefits of alternative interventions, with the objective of supporting decisions concerning the best use of limited resources. The cost benefit analysis (CBA) has played a significant role within the entire decision-making process, and is the principal assessment methodology. In recent years, equity issues in relation to transportation planning have become a hot topic at an international level. In this paper, the objective was to integrate equity within the evaluation of transport projects, specifically high speed rail projects. Here, consumer surplus is conceived as a monetized measure of both direct and indirect benefits for all zones, and for all socioeconomic categories served and not served by HSR, respectively. The added value of this paper is in rethinking these two shares in the computation of the total net present value as equity measures of the project itself. Specifically, the distribution of the HSR benefits among the different groups or zones in a given study area can be computed, and a comparison of the values for each zone of the study area and for each category makes it possible to assess the effects of equity between zones/categories

    Socioeconomic Impacts of High-Speed Rail Systems. Proceedings of the 4th International Workshop on High-Speed Rail Socioeconomic Impacts

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    This book collects most of the contributions presented at the 4th edition of the International Workshop on High-Speed Rail (HSR) Socioeconomic Impacts, which was held online on 10 and 11 September 2024. With over 100 participants from all over the world, this large-scale workshop aimed to analyse and quantify the socioeconomic impacts of HSR systems

    House prices and rents variations due to Transit Oriented Development policies

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    The concept of Transit Oriented Development (TOD) deals with the development of a mixed-use, compact, walkable neighborhood  with the objective of encouraging residents to live near and use public transit.  A TOD neighborhood is typically characterized by a transit station, public spaces and by a walkable street network connecting residential and commercial buildings to that station within a 800m radius. TOD is based on the contrast to the auto-dependent behaviour, which has characterized the development pattern in the United States since the Second World War, due to the growth of car use, highway expansion, and suburbanization.Studies on the impacts of transit rail on residential property values have provided interesting results in many urban contexts. However, for the case study of Italy, the literature is very poor with the exception of some experiences reported for the cities of Milan, Turin and Genoa, where the impacts  of these initiatives have not really been quantified. The aim of this paper is to fill this gap, indeed through the case study of Naples, a city in the south of Italy, the impacts of metro stations on house prices and on rents have been analysed.The Campania Regional Metro System (RMS) project is considered one of the most ambitious examples of rail-based public transport policies currently implemented in Italy. The project started in Naples, the main city of Campania region, in 1997, and was extended to the regional level in 2000. The focus here will be on the seven lines of the metro network of Naples and on the analysis of the impacts of these stations on house prices. In this context, several international architects were involved in the RMS to ensure high esthetic quality standards for both the new and renewed stations. In addition to purely architectural elements, the stations are characterized by contemporary art pieces, improving the esthetic quality of the terminal and in the surrounding area, thus increasing its the quality of life. Four recently inaugurated stations are described in detail. For them, being part of the Art Metro project, impacts on house prices and rents will be reported

    Modelling the impact of High Speed Rail on tourists with Geographically Weighted Poisson Regression

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    In this paper the impact of High Speed Rail (HSR) on the tourism market is analysed. The original and added value of this contribution is in the proposed methodology, which considers the Geographically Weighted Regression technique, incorporated within a Poisson model. This approach allows measuring the relationship between independent and dependent variables with respect to space. The case study comprises 99 Italian provinces, analysed in the time period 2006-2016. The main outcome of the analysis is that HSR affects tourists 'choices of a given destination

    Providing resilience due to adverse weather events: A cost-benefit analysisfor the case of the Milan Malpensa airport in Italy

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    Climate change is one of the key challenges for the future of human society and the planet. A strong coordination of political strategies, both nationally and internationally, is necessary, as well as a change in the lifestyles of large parts of the population.In this context, this paper aims at introducing an application of the Cost-Benefit Analysis (CBA) for providing resilience of a transport infrastructure. Milan Airport Malpensa in the north of Italy has been studied with the objective of limiting serious economic and social damage caused by an interruption of the service following adverse weather events

    A Geographically Weighted Posson Regression Approach for Analyzing the Effect of High-Speed Rail on Tourism in China

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    In the international literature, several studies have analyzed the impact of HSR on tourists’ behavior with qualitative and quantitative approaches. However, they have not been able to solve the problem of capturing the spatial and temporal vari-ation by fitting a regression model at a local point. The spatial heterogeneity within local models, such as Geographically Weighted Regression (GWR) models, provides a better platform allowing exploring the different spatial relationships between HSR and tourism. In this chapter, a spatio-temporal analysis has been proposed to eval-uate the variables affecting tourists ‘choices, specifically the impact of HSR on both Chinese and Foreign tourists. Two advanced methods were adopted: firstly, we used the Weighted Regression with Poisson distribution (GWPR) modelling approach, which considers the problem of the temporal and spatial autocorrelation differently with respect to the Generalized Estimating Equations method. The results of this study support the use of the GWPR as a promising tool for tourism planning, espe-cially because it makes it possible to model non-stationary spatially counting data. As far as the authors know, this methodology has never been applied in the international literature to this context. Secondly, we combined both temporal autocorrelation and spatial autocorrelation by applying models of Geographical and Temporal Weighted Regression (GTWR) types to take into account the local effects from the temporal point of view
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