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Title: WP3%20


1
WP3 Alternative Scenarios of GrowthTrends in
Road Transport (Passenger, Freight)
  • D. Tsamboulas
  • External Consultant

2
Introduction to WP3
  • The focus of this report was to provide reference
    scenarios to frame the general evolution of
    transport demand and supply.
  • Such a framework does not necessarily require the
    definition of mathematical models linking
    socio-economic variables (inputs) and traffic
    levels (outputs), assigned on a network.
  • The moderate and optimistic scenarios for
    socio-economic and transport demand described in
    this report highlight the most important medium
    and long-term trends, given the past and present
    development of key variables

3
Basic drawings of WP3
  • GDP will continue to increase steadily
  • Population will decline slightly from around 2015
  • Passenger traffic trend includes the increased
    dependency on the car against other modes like
    bus/ coach and rail
  • Freight transport main trends show dominance of
    road transport.
  • Such general trends must be taken with caution,
    due to significant differences between regions

4
Transport framework
  • Based on existing studies and available data of
    transport characteristics and movements of each
    country group,current transport trends were
    identified.
  • data from 1990-2000, 2001, 2002 and 2003 were
    employed to establish current transport trends
  • employed approach to trend analysis in
    forecasting involves the use of growth curves
  • Connection of transport trends with
    socio-economic trends
  • Transport forecasting, with 2000 as the base year
  • where projections were available they were used
    (TINA, TIRS, SCENARIOS, CODE-TEN, STAC-TEN,
    REBIS, WORLDBANK, UNECE, EC etc.)

5
Country groups
n
6
Transport trends of Group 1-Connection with
socio-economic variables
  • Total Passenger Traffic Growth GDP Growth
  • Total Freight Traffic Growth (1,625) (GDP
    Growth)

7
Transport trends of Group 2- Connection with
socio-economic variables
  • Car Passenger Traffic Growth(1,55)(GDP/Populati
    on)Growth
  • Coach Passenger Traffic Growth(-1,68)(GDP/Popul
    ation)Growth
  • Freight Traffic by Road Growth GDP Growth

8
Transport trends of Group 3- Connection with
socio-economic variables
  • Local traffic
  • 1.25(GDP Growth)
  • Overall traffic (including international)
  • (Traffic multiplicator)(GDP Growth)
  • Where traffic multiplicator can be 1.68, 2.10
    and 2.6

9
Transport Scenarios
  • Forecasting on group-country level
  • Separately for passenger and freight
  • Two scenarios
  • Moderate and optimistic
  • See tables next

10
Table 2 Group 1 Countries - Passenger Demand
Forecasts (Road car and bus/coaches-) Moderate
Scenario
Billion pax-kms
11
Table 3 Group 1 Countries - Passenger Demand
Forecasts (Road car and bus/coaches-) Optimistic
Scenario
Billion pax-kms
12
Table 4 Group 1 Countries - Freight Demand
Forecasts (Road) Moderate Scenario
Billion tone-kms
13
Table 5 Group 1 Countries - Freight Demand
Forecasts (Road) Optimistic Scenario
Billion tone-kms
14
Table 6 Group 2 Countries Passenger Demand
Forecasts (Road) Moderate Scenario
15
Table 7 Group 2 Countries Passenger Demand
Forecasts (Road) Optimistic Scenario
16
Table 8 Group 2 Countries Freight Demand
Forecasts (Road) Moderate Scenario
17
Table 9 Group 2 Countries Freight Demand
Forecasts (Road) Optimistic Scenario
18
Table 10a Accumulated Road Traffic Growth in
Group 2 Countries (Moderate scenario)
Projections per country, separately for
passenger and freight impossible, but trend
forecasting of total traffic, was relatively
easier, since TINA had produced projections up to
2015
Table 10b Accumulated Road Traffic Growth in
Group 2 Countries (Optimistic scenario)
Projections per country, separately for
passenger and freight impossible, but trend
forecasting of total traffic, was relatively
easier, since TINA had produced projections up to
2015
19
Table 11 Accumulated Road Traffic Growth in Group
3 Countries (Moderate scenario)
n
Due to limited data no specific projections
were made, but a general hypothesis says that
these countries will probably follow the rest
Group 3 countries
20
Table 12 Accumulated Road Traffic Growth in Group
3 Countries (Optimistic scenario)
n
Due to limited data no specific projections
were made, but a general hypothesis says that
these countries will probably follow the rest
Group 3 countries
21
Road Traffic- Coaches Specificities
  • Group 1
  • average annual increase of 0,1 (starting with
    0,03 in the year 2000 and reaching a 0,16
    increase in 2020)
  • Group 2
  • average annual increase of 0,1 (starting with
    -0,03 in the year 2000 and reaching a 0,23
    increase in 2020
  • Group 3
  • a similar course with that of Group 2 countries
  • The above are based on a moderate scenario. The
    optimistic is not dramatically different though.

22
Conclusion for Coaches Traffic
  • Passenger traffic is expected to grow but
    bus/coach modal share and traffic volumes are not
    expected to change dramatically up to 2020
  • Regarding the present decrease in public
    transport volumes, this is due to the high
    increase in car ownership and usage as well as in
    the development of air transport industry in all
    countries.
  • Regarding the minor increases expected in the
    future, these would probably be a result of the
    EC policy objectives that have been defined for
    countries of Group 1 and 2, in order to diminish
    the environmental consequences of transport and
    bring about a shift in transport use from road to
    rail, water and public passenger transport.

23
Road Traffic- Trucks Specificities
  • Group 1
  • moderate forecast on trucks traffic predicts an
    average annual increase of 2,7 (starting with
    2,67 in the year 2000 and reaching a 2,82
    increase in 2020).
  • optimistic scenario gives an average annual
    increase of 3,29 (starting with 3,2 in the year
    2000 and reaching a 3,38 increase in 2020)
  • Group 2
  • moderate forecast on trucks traffic predicts an
    average annual increase of 2,32 (starting with
    2,19 in the year 2000 and reaching a 2,44
    increase in 2020).
  • optimistic scenario gives an average annual
    increase of 2,63 (starting with 2,49 in the
    year 2000 and reaching a 2,77 increase in 2020)
  • For Group 3, current or future modal shares are
    not analytically available but the underlying
    trend shows a more rapid growth in road than in
    rail freight transport

24
Conclusion for Trucks Traffic
  • Freight traffic is expected to grow and trucks
    share in absolute numbers-not as modal share-
    is expected to grow up to 2020, both in moderate
    and in the optimistic trend scenario.
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