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Wyświetlanie 1-3 z 3
Tytuł:
A structural decomposition analysis for traffic demand assessment on a freight transport corridor
Autorzy:
Pompigna, Andrea
Mauro, Raffaele
Powiązania:
https://bibliotekanauki.pl/articles/1833635.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
freight traffic
input-output model
freight corridor
structural decomposition analysis
ruch towarowy
model przepływów międzygałęziowych
korytarz towarowy
analiza rozkładu strukturalnego
Opis:
This paper deals with a Structural Decomposition (SDA) applied to the analysis of the freight traffic demand in an Input Output (IO) modelling context. After reviewing the basic definitions of IO models and some methodological references for their application in the freight transport field, the paper proposes the application of the SDA in the perspective of a freight corridor. This application takes place downstream of an IO model that directly relates the quantities of goods transported along the corridor with the functioning of the reference economic system. Considering the evolution of tons annually trans-ported in a certain time interval, the SDA model allows to isolate the specific effects related to: intensity of freight traffic typical of the corridor; technological structure of the production sectors; characteristics of the final demand in relation to its overall level, sectoral structure and allocation between components. The SDA model is applied to a case study considering the total volumes of goods annually in transit at the Brenner pass between 2000 and 2014. The evaluation of the polar forms of the multiplicative decomposition and their geometric mean allow to quantify the effects of each factor on the variation of the tonnage in terms of indexed value, absolute variation and percentage contribution compared to the base year (2000). The relative influences on freight traffic at the Brenner pass are therefore highlighted, both in terms of total volumes transited and impacts attributable to each of the decomposition factors introduced, with particular evidence also in the event of periods of economic and financial crisis. The SDA specified in the paper and the related case study provide useful elements for studying the traffic demand of goods through a freight corridor, helping in outlining the effects of the different driving forces related to the economic system and affecting freight transport demand trends.
Źródło:
Archives of Transport; 2020, 56, 4; 19-31
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Input/output models for freight transport demand: a macro approach to traffic analysis for a freight corridor
Autorzy:
Pompigna, Andrea
Mauro, Raffaele
Powiązania:
https://bibliotekanauki.pl/articles/949842.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
freight traffic
freight traffic model
Input-Output model
freight corridors
freight transport intensity
transport towarowy
model ruchu towarowego
model wejścia-wyjścia
korytarz towarowy
intensywność transportu towarowego
Opis:
Input Output model are of great interest in the transport sector, especially regarding freight transport demand. These models allow to analyze the cross effects of: political, macroeconomic and transport changes; industrial dynamics; exchange flows between different sites within a reference area, more or less divided into subareas. Although very interesting and desirable to be used and disseminated, their use is often hindered by the complexity of the modelling structures that need to describe the interactions with the transport systems and by the difficulty of finding complete and reliable data. In this context, this paper deals with a macro-level Input Output approach for freight demand analysis, which directly relates the quantities of goods transported along a multimodal corridor to the functioning of the economic system. The proposed model is structured on two levels: the first level allows the sectoral production forecasts of the entire economic system based on the exogenous final demand; the second allows the forecast of tons transported, annually and by sector, along the corridor based on the sectoral production estimated at the first level. The two modelling levels are applied to the analysis and forecast of freight traffic demand along the Italian-Austrian cross-border stretch of the Brenner corridor, a fundamental axis of the European transport infrastructure network. The model has been verified and validated on data covering 15 years between 2000 and 2014 using the reclassified time series of Input Output tables and the international trade data for Italy. The model has been used to produce medium-long term forecasts for different economic scenarios. The macro-level point of view and the application for the corridor provide a simple and directly applicable model compared to the complex articulations that characterize the Input Output applications to the transport systems, which can hinder their concrete use as decision support in the planning of transport infrastructures.
Źródło:
Archives of Transport; 2020, 54, 2; 21-42
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Long-term relationship estimation and coupling/decoupling analysis between motorway traffic and Gross Value Added. Specification of an ARDL cointegration approach and application to the Italian case study
Autorzy:
Pampigna, Andrea
Mauro, Raffaele
Powiązania:
https://bibliotekanauki.pl/articles/2067397.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
toll roads
motorway
traffic
cointegration
transport studies
error-correction model
Italian case study
drogi płatne
ruch na autostradzie
kointegracja
badania transportowe
model korekcji błędów
studium przypadku włoskie
Opis:
As transportation is an activity derived from spatial complementarities between a certain supply at an origin and a certain demand at a destination, according to a general axiom it seems that economic activities entail transport demand. In this perspective, an essential analysis deals with the quantification of the relationships between transport demand and certain socioeconomic variables. Elasticity is a concept widely used in transport economics as a measure of the responsiveness of transport demand concerning different factors represented as independent variables in an econometric model and coupling/decoupling concepts have been proposed in literature. This paper deals with the estimation of elasticities of motorway traffic demand based on Gross Value Added (GVA), and the consequent investigation of coupling/decoupling situation. The analysis is based on the application of an Autoregressive-Distributed Lag (ARDL) cointegration model with the F-bound test and of the related Error Correction model. Starting from the general ARDL model and the methodology for the verification of its robustness, the same model is applied to the Italian toll road network. The time series of GVA for goods and services and the overall length of the toll network from 1995 to 2019 are considered as explanatory variables of the total annual distance traveled by light and heavy vehicles. The various tests in the ARDL framework show a cointegration between the variables, under the fulfillment of all the diagnostic requirements. In this way, the long-term elasticities and the short-term adjustment dynamics are estimated separately for the goods and services components of GVA, and light and heavy vehicles. Starting from stable estimates of elasticities, the long-term coupling and decoupling effects between motorway traffic of light and heavy vehicles and the national production of goods and services can be shown. The paper, as well as providing an updated picture of the Italian situation, identifies a methodological framework that can be transferred to other contexts for a sector of great interest to investors, such as the motorway sector. All this can be useful to meet the needs of numerous stakeholders, who want to deepen the links between the economic cycle and traffic demand on toll motorways.
Źródło:
Archives of Transport; 2021, 60, 4; 39--56
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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