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www.isl.org [email protected] Institut für Seeverkehrswirtschaft und Logistik Institute of Shipping Economics and Logistics Mid-term forecasting of demand for barge traffic From trade forecasts to transport demand Sönke Maatsch, ISL

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www.isl.org [email protected]

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Mid-term forecasting of demandfor barge traffic

From trade forecasts to transport demand

Sönke Maatsch, ISL

www.isl.org [email protected]

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Content

1. Analysis of status quo

2. Trade forecast by countries and industries

3. Regional forecasts

4. Implications for modal split

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1. Analysis of status quo

2. Trade forecast by countries and industries

3. Regional forecasts

4. Implications for modal split

www.isl.org [email protected]

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1. Analysis of status quo

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A B Trade by origin/destination (e.g. UN, national statistics)

A) Trade statistics

ports’cargo traffic

detailedtransportstatistics

(transportstatistics)

ports’modal split

B) Transport statistics

survey

Source: ISL/Global Insight North European Container Traffic Model

overseasports

Linking trade and transport statistics

survey

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1. Analysis of status quo

• Modal split statistics from the ports:

− distribution of hinterland traffic by modes

− for some ports: modal split by hinterland regions

• Transport statistics:

− distribution of hinterland traffic by regions for barge and rail

− truck traffic: not available or only available for transport companies

registered in the respective country

• Surveys:

− share of transhipment by corresponding ports/regions

− distribution of hinterland traffic by regions for truck

− modal splits per region

− expert interviews / plausibility checks4

Modal split and hinterland distribution

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1. Analysis of status quo

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Market shares by hinterland regions and modal split (container)

Source: ISL/Global Insight, Containerverkehrsmodell zur Bestimmung der Marktposition des Hafens Hamburg in europäischen Hinterland- und Transhipmentregionen, study for the Hamburg Port Authority, Bremen 2007

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1. Analysis of status quo

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Southern Poland 2009

20,000 TEU import (consumer demand)10,000 TEU export (industry production)10,000 TEU empties for export

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1. Analysis of status quo

2. Trade forecast by industries and countries

3. Regional forecasts

4. Implications for modal split

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www.isl.org [email protected]

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2. Trade forecast by countries and industries

Quarterly updated trade forecasts based on

1. Forecasts of general economic indicators by country

2. Industry forecasts

3. Expertise from country or regional experts and industry sources

4. Feedback from customers using the service

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World Trade Service

forecast of trade matrices for commodity groups:

countries of origin x countries of destination x commodity groups

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Content

1. Analysis of status quo

2. Forecast by industries and countries

3. Regional forecasts and structural effects

4. Implications for modal split

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www.isl.org [email protected]

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3. Regional forecasts and structural effects

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Southern Poland mid-term outlook (consumption and sector forecasts)

30,000 TEU import (consumer demand)10,000 TEU export (industry production)20,000 TEU empties for export

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3. Regional forecasts and structural effects

• Regional economic structures determine trade outlook

• Changing trade balances have a direct impact on empty container

transports

• Major regional players’ development may deviate from trend

− closing down of existing sites or construction of new ones

− gains/losses of market shares

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Structural implications and regional trends

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4. Implications for modal split

Changes in the modal shift difficult to predict:

• basic assumption:

constant modal shares per region/industry and for empty containers

• endogenous modal shift through changing shares of sectors

• capacity limitations for certain routes may lead to modal shifts

(however, capacity estimates have a number of caveats)

• changing strategies of logistics service providers or port operators:

not captured by models, qualitative data and interviews necessary

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Structural implications and regional trends

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• trade forecasts at sector level together with economic structures are

a rich source for forecasting transport demand

• some structural changes can be forecast, highlighting changes in

transport demand

• strategic decisions of importers, exporters, and transport companies

can at best be assessed in interviews

• the higher the level of regional detail, the more important to

“know the players involved”

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Conclusions

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Institut für Seeverkehrswirtschaft und LogistikInstitute of Shipping Economics and Logistics

Sönke Maatsch

Tel. +49/4 21/2 20 [email protected]

Universitätsallee 11-1328359 BremenGermanyFax +49/4 21/2 20 96-55

www.isl.org

Economist

DepartmentMaritime Economics and Transport

Thank you for your attention!