Freight transportation demand elasticities: a geographic multimodal transportation network analysis

Beuthe, Michel; Jourquin, Bart; Geerts, Jean-François; Ha, Christian Koul à Ndjang'

doi:10.1016/s1366-5545(00)00022-3

Cited by 136 publications

(45 citation statements)

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“…The values of elasticity are also disaggregated for freight types and transport modes. Most of these elasticity values have the same magnitude as those we can find in the literature (Beuthe et al 2001;Agnolucci, Bonilla 2009;De Jong et al 2010). The aggregate estimates indicate that road transport tonnage is inelastic, while rail and sea aggregate export demand is elastic but less than import ones.…”

Section: The Mode Choice Modelssupporting

confidence: 84%

An Aggregate Transport Demand Model for Import and Export Flow Simulation

2013

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Abstract. This paper presents a system of models for the estimation of international (import/export) freight flows through a partial share approach. It allows us to simulate attraction, production, distribution and modal split for the estimation of modal Origin-Destination matrices in quantities. Aiming at predicting long term effects for strategic planning, the modelling system has been specified through easy-to-capture variables represented by level-of-service attributes and aggregate socio-economic variables. The calibration was carried out by using a set of available data in Italy that allowed us to consider import/export flows for different freight types given by the aggregation of classes provided by European NST/R classifications.

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Section: The Mode Choice Modelssupporting

confidence: 84%

An Aggregate Transport Demand Model for Import and Export Flow Simulation

2013

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“…The first group of authors analyzed interstate freight mode choices between truck and rail in Maryland, United States, and found that longer distances contribute positively to the use of rail as a means of transportation. Similar evidence revealing the greater role of distance in choosing rail was earlier obtained by Jiang, Johnson, and Calzada (1999) using data for France, as well as by Beuthe et al (2001), who computed the modal elasticity of Belgian freight by employing origin-destination (O-D) matrices and cost information. Based on these studies, we examine the connectivity effect of the railway connection by designating the regions located at the far ends of the within-country railway system as potential beneficiaries.…”

Section: Assumptions Concerning the Geographical Impact Of Infrastrucsupporting

confidence: 78%

An impact evaluation of investment in infrastructure: The case of a railway connection in Uzbekistan

Yoshino

Abidhadjaev

2017

Journal of Asian Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Asian Development Bank InstituteThe Working Paper series is a continuation of the formerly named Discussion Paper series; the numbering of the papers continued without interruption or change. ADBI's working papers reflect initial ideas on a topic and are posted online for discussion. ADBI encourages readers to post their comments on the main page for each working paper (given in the citation below). Some working papers may develop into other forms of publication. Umid Abidhadjaev is a research associate at ADBI.The authors would like to thank Georg Inderst, Sahoko Kaji, Khalilillo Khamidov, Marie Lall, Colin McKenzie, Masao Ogaki, Alfredo Pereira, Victor Pontines, and Michael Regan, as well as the participants of the Public Economics Seminar at Keio University, the AICILS conference at the University of Oxford, and the ICHE conference at Cornell University for their comments and meaningful contributions to earlier discussion of the results of the current research. Umid Abidhadjaev would also like to acknowledge the financial support provided by the Head Office of the Research Development and Sponsored Programs at Keio University under the Keio University Doctorate Student Grant-in-Aid Program.The views expressed in this paper are the views of the authors and do not necessarily reflect the views or policies of ADBI, ADB, its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms.Working papers are subject to formal revision and correction before they are finalized and considered published.Asian Development Bank Institute Kasumigaseki Building 8F 3-2-5 Kasumigaseki, Chiyoda-ku Tokyo 100-6008, Japan AbstractThe objective of this paper is to examine the nature and magnitude of the effects of infrastructure provision on regional economic performance. The empirical evidence of our analysis is based on difference-in-difference estimation linking the changes in the growth rate of regional-level economic outcomes in affected regions to the newly built railway connection in the southern part of Uzbekistan, conditioned on the regions' timeinvariant individual effects, time-varying covariates, and evolving economic characteristics. To explore the differential nature of infrastructure provision, we employ an estimation examining re...

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“…Figliozzi (2007) notes that four step models completely ignore the urban tours where vehicles make multiple stops. Another research stream of freight modelling is concerned with econometric models where the interest is in predicting price and demand elasticities (Beuthe et al, 2001;Kremers et al, 2002;de Jong et al, 2004;Rich et al, 2009). Both these research streams deal with aggregated flow of commodities, often 0966-6923/$ -see front matter Ó 2009 Elsevier Ltd. All rights reserved.…”

Section: Introductionmentioning

confidence: 99%

Inferring commercial vehicle activities in Gauteng, South Africa

Joubert

Axhausen

2011

Journal of Transport Geography

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a b s t r a c tTo address the underreporting of freight from a transport geography point of view, we present a novel analysis of the time and spatial characteristics of disaggregated commercial vehicle activities. The activities were extracted from raw global positioning system (GPS) data collected in South Africa over a sixmonth period for more than 30,000 commercial vehicles. The analyses of the activity chains provide useful characteristics such as activity and chain durations, number of activities per chain, and the spatial extent of the activity chains. Key results indicate that about 60% of activity chains have between 5 and 15 activities per chain while 25% of the chains have 4 or less; 89% of the chains have a duration of 24 hours or less; and approximately 75% of all activities start between 08:00 and 17:00. The paper's contribution is twofold: it firstly demonstrates a methodology to extract and evaluate vehicle activities and activity chains from raw GPS data. Novel results and characteristics about transport geographies in Gauteng, the economic centre of South Africa, are presented. We also report on the sensitivity of the analyses to certain parameters. Secondly, we introduce new metrics to evaluate a geographical area's economic productivity based on commercial activity.

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Freight transportation demand elasticities: a geographic multimodal transportation network analysis

Cited by 136 publications

References 10 publications

An Aggregate Transport Demand Model for Import and Export Flow Simulation

An Aggregate Transport Demand Model for Import and Export Flow Simulation

An impact evaluation of investment in infrastructure: The case of a railway connection in Uzbekistan

Inferring commercial vehicle activities in Gauteng, South Africa

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