STRATEC Présentation 2011-12-05_v3
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Transcript STRATEC Présentation 2011-12-05_v3
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12 of May 2011
Bruxelles
Scope of data collection
From the point of view of the shipper, perceived transportation costs include
prices, value of time and values of other attributes that determine the quality of
service from the origin point to the destination point.
Other attributes that determine the quality of service are for instance the reliability
(strikes, lock broken, tidal restriction…) or the presence of a private terminal in the
sea port (Maersk – APMT)
The port and the inland transport attributes constitute therefore the input data
needed for modelling and calibration.
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Scope of data collection
When choosing a port, shippers consider the following parameters :
The intercontinental transport costs and times on the maritime routes from port to port
the prices and performances of the port services
the prices and performances of the inland modes from the ports towards the European
destination (imports) or from the European origin to the ports (exports).
PA
Anvers
m = voie d’eau (e), route (r) et fer (f)
p = Anvers (A), Le Havre (H)
PH
PA,f
P A,e P A,r
P H,r
Le Havre
With:
p : maritime port
Mer
Terre
m: hinterland connections
Urm,p : perceived utility of one transport choice (m,p) in the region r
M: total number of hinterland transport mode for a region r (maximum 3)
P : total number of maritime ports
P H,e
P H,f
Destination
Deux choix à modéliser
simultanément
Choix du port
Choix du mode terrestre
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Scope of data collection
Main parameters are based on price and time (reliability has not been quantified)
Parameters (prices and time)
Port access prices (gate in/gate out)
Maritime side
Access and port processing time
Specific Handling charges per mode
Inland connection
Transport to multimodal platform(rail, waterways)
Infrastructure toll
Rail/Waterway gantry crane
Access time to hinterland connection
Direct from maritime terminal
Multistop
Transport to/from multimodal platform
Transport costs
Specific Handling charges per mode
Inland side
Gantry cranes/reachstacker costs
Pre/post transport by truck for rail and waterways
Transport time including pre/post transport by truck
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Examples of models developed by Sratec
2 examples of Port choice models developed by Stratec for container transport :
Port choice in the North Range (Le Havre – Hambourg) in socio-economic study of the
Canal Seine Nord Europe
Port connections to inland transport in socio-economic study of the new lock in Le Havre
(Port 2000 container terminals)
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1. Canal Seine Nord Europe – Port choice calibration (year 2000)
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1. Canal Seine Nord Europe – Port choice results for Paris destination
(2020 with canal SNE)
2. Lock in Le Havre
Lock
Multimodal platform
2. Lock in Le Havre
Road
Waterways
Rail
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Maritime side
Hinterland side
Rail
Rail
Port
2000
Multimodal
Platform
MP
W + MP (1)
Waterways
Road
Gap in data collection
To manage these types of study, consultant agencies have to put the focus on
collecting crucial parameters.
For Canal SNE study
Origin/Destination calibration matrix : 1. data is coming from the French SITRAM databases of
the year 2000 (department to department). 2. These data have been split amongst origins and
destinations that are in the department following defined key (GDP, employment, … )
3. Origins/destinations that were built in this way are improved on the basis of VNF databases
(port to port) and RFF databases
Origin/Destination trends matrix : Trend matrix is built with the Calibration matrix and trends
factors (forecasted GDP, forecasted trend of good growth). Trend matrix are refined with the
output of interviews made with majors shippers, companies in the area of the study, …
Costs : data has been collected via a lot of interviews with carriers and with operators
organizations such as CNR for truck data, RFF for rail data, VNF for Waterways data, …
For Lock study in Le Havre
Origin/Destination matrix : data is coming from the Port of Le Havre
Costs : data has been collected via a lot of interviews (CNR for truck data, RFF for rail data, VNF
for Waterways data, Port of Antwerpen, Port of Rotterdam, Operators, shipping companies…)
Gap in data collection
Data is not very transparent and is hard to collect. Costs for instance can
include subsidies of different types : infrastructure, operation, …
For infrastructure socio-economic feasability studies, consultant agencies have to take
into account subsidies in 2 ways :
1. For the traffic studies, model has to take into account the real costs paid by the
client. Subsidies have to be taken into account.
2. For the cost/benefit analysis, the subsidies have to be taken into account as a cost
for the collectivity
Average prices are also difficult to collect (commercial agreements,
business vertical integration)
Data collection is very important in the scope of traffic and socio-economic studies
Data concerning Waterways Origin/Destinations are available thanks to electronic
reporting managed by EU states members. But these data sent to Eurostat are
aggregated. Data exists but it origin and destination are incomplete : port to port
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