SHORT AND LONG TERM EFFECTS OF SUSTAINABLE MOBILITY POLICY: AN EXPLORATORY CASE STUDY

Irene Casas

Department of Geography, University at Buffalo-SUNY

125 Wilkeson Quad, Buffalo, New York 14261, USA; Tel: (716) 645-2722; Fax: (716) 645-2329

icasas@buffalo.edu

Maria Teresa Borzacchiello

Department of Transportation Engineering , University of Napoli “Federico II”

Via Claudio, 21, 80125 Napoli, Italy; Tel: (+39) 081 7683770; Fax (+39) 081 7683946

mborzacchiello@unina.it

Biagio Ciuffo

Department of Transportation Engineering , University of Napoli “Federico II”

Via Claudio, 21, 80125 Napoli, Italy; Tel: (+39) 081 7683770; Fax (+39) 081 7683946

bciuffo@unina.it

Peter Nijkamp

Department of Spatial Economics, Vrije Universiteit

De Boelelaan 1105 1081 HV Amsterdam, The Netherlands; Tel: (+31) 20-598 6090; Fax: (+31) 20-598 6004

pnijkamp@feweb.vu.nl

Abstract

The aim of the present paper is to offer an exploratory contribution to the general debate on sustainable transport, in particular from the perspective of impact assessment of sustainable transport policy. Specifically, starting from data available from different public sources in the United States, two different types of analyses are conducted: (1) comparison of the declared short term results of the most practical policies applied (e.g. ramp metering, HOV lanes, etc.); and (2) an analysis of mobility data to interpret long term effects of policy previously and semi-unconsciously applied. In particular, the latter point has a more innovative character with respect to the former. It is based on the assumption that, specifically in the West Coast of the United States, at a local scale (e.g. states), policies that would be defined as sustainable today, have already been applied in the past.

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EVALUATING THE DYNAMIC AND SPATIAL ECONOMIC IMPACTS OF AN EARTHQUAKE: A CGE APPLICATION TO JAPAN

Hiroyuki SHIBUSAWA

Department of Architecture and Civil Engineering, Toyohashi University of Technology, Japan hiro-shibu@tut.jp

 

Yuzuru MIYATA

Department of Architecture and Civil Engineering, Toyohashi University of Technology, Japan

miyata@ace.tut.ac.jp

Abstract:

We have developed a dynamic spatial computable general equilibrium model to investigate the regional economic impacts of an earthquake. In our spatial model, Japan is subdivided into 47 regions. All the regions are connected by transportation networks. Our model is of a decentralized economy with utility-maximizing consumers and value-maximizing firms in a dynamic context. The model embodies both the spatial commodity flows among regions and the dynamics of regional investments. The model is calibrated for the regional economy using a multi-regional input-output table for Japan. We estimate the impacts of a hypothetical earthquake, which is expected to occur in the near future, on the regional economy in a case study of the Tokai region of Japan. The results show the indirect and distributional economic impacts before and after an earthquake. This study suggests that any disaster analysis should evaluate the economic impacts of a disaster based on both ex-ante and ex-post criteria.

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FACTORS OF ACCESSIBILITY POTENTIAL MODELS

Géza Tóth

Hungarian Central Statistical Office, Budapest,

and

Áron Kincses

Hungary, 1024 Budapest, Keleti Károly út 5-7, Hungary

Abstract:

The use of accessibility potential models is widespread in transport geographical studies. In this analysis the connections between the different accessibility models and development conditions are examined. In connection with the use of the models, the problem arises that, due to their complexity, their interpretation may meet some difficulties. In order to solve this problem, a method which is suitable for breaking down the accessibility potentials into factors has been developed. The study analyses the spatial relation between development and accessibility taking as example the EU NUTS3 regions, the factors of the accessibility potential models are presented and the relations between these factors and the components of development are examined. Finally, the population potential in the NUTS3 regions of EU27 is examined according to the nationality of the dominant region influencing it.

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