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KTEN

KTEN ("Know trans-European Networks") is a passenger's traffic forecast model developed to facilitate an strategic analysis of the trans-European Transport Networks in a wider pan-European and Mediterranean scale. 

KTEN is a sequential 4-steps model, with combined modal split and assignment on multimodal networks  (1 complete run of KTEN takes 150 minutes; KTEN is 40 Mb large in total). KTEN uses STREAMS results, WTO and EUROSTAT Air Traffic OD databases, as benchmark and/or references. All databases and the whole model itself can be downloaded from a FTP address or run though Internet using a simplified version.

An interactive application based on KTEN pre-calculated results for a number of key scenarios has been published on Internet.

 

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See samples of 
KTEN Results

 

 

DESCRIPTION OF KTEN (according to spotlights/Mdir)

Model name

KTEN

Abstract

Sequencial 4-Steps European  Strategic Long distance Passenger Transport Forecasting Model (Projection: 2000-2025). Trip generation by ratios.Distribution singly contrained to origins. Modal Split combined with assignment with variable Value of Time.

Policy relevance

Evaluation of  transport infrastructure projects and road-pricing policies

Future scenarios with different accessing countries included in the European Union.

Geographical Scale

Europe: EU15 + Switzerland and Norvege and CEEC and Northern African Countries.

Time Horizon

2000-2025

Scope of the model

Strategic

Transport domain

Long distance passenger

Intermodality

Multimodal chains allowed with predefined penalties.

Type of transport modelling Formulation

Sequential 4-steps, with independent Generation and Distribution, and Combined  Modal Split and Assignment.

Integration with other forecast models

No yet

Integration with evaluation tools

No yet

Integration with decision tools

No yet

Modeller

Mcrit sl (Barcelona), Andreu Esquius / Enric Caņas / Ramon Catalā / Andreu Ulied

Propieter

DG-TREN/ASSEMBLING/Mcrit sl.

Status

Public

Applications

No analysis carried out using KTEN. Used within ASSEMBLING for demonstration purposes

Legal Aspects

Unknown

Commercial Aspects

Not yet available, The aim is to disseminate the whole model in CDRom for free. The whole databases and software applications represent some 40 Mb.

Imput Database structure

Xls file with socio-economic information and parameters, internal mdb file for Distribution and Modal Split -Assingment matrix storage. 

Network definition

Simplified network:
4.000 links and 2.500 nodes, 3 link types, The network attributes are:  Speed, Toll/Fare. No inventory available. 

Detailed  network as reference (ASSEMBLING graph):
100.000 links and 250.000 nodes,

Zoning

295 zones
Core zones 285 (EU15 + Switzerland + Norvege+ CEEC with Nuts II or equivalent zonig plus the rest of Mediterranean by country).
Buffer zones 10 (including the rest of the world).

Organizational network

No public assignment.  Costs  based on a kilometric fare with delays (between 0 and 60 minutes) based on a frequency estimation for airlines.  Airports were classified by categories and by countries, and frequencies assigned according to pre-fixed rules (based on the UTS Study). 

Surveys

None. Some data from National's Surveys used as country trips rates.

Traffic counts

None

Socio-economic

SPESP (DG REGIO), Phare Toolbox, United Nations and different sources.

Basematrix

Used as benchmark: STREAMS by NUTS I,  PHARE, EUROSTAT Air Traffic and World Tourism Organization.

Generalised Cost functions

Road:
Separable cost function (delay on road link depends only on the flow on the link itself).
O/D flows classified by Different value of time, Kilometric Operational Cost rate (constant) depending on the link + Toll per km.
Travel time based on speed.

Rail:
Modified speed on the links based on scheduled frequency. Kilometric fare based on the Speed.

Bus:
No considered

Air:
Modified speed on the links based on scheduled frecuency. Kilometric fare based on the cathegory of Airports connected.

Planned improvements

Development of simplified  freight model
Development of a policy interface

Types of users, units and vehicles

One user type for passengers

Trip purposes

Bussines, Leisure and Personal

Time values

EIB's Values for EU15 Countries, and Correlated values with Greece GPD for the rest of the non-EU15 zones.

Network calibration process

No calibration because there is no capacity restrain on links. Forecasted traffics validated with United Nations traffic surveys.

Trip Generation

Zonal-based ratios (by NUTS 2 or equivalent), depending on:

  • Trip rates work and study by group of age

  • Trip rates by Leisure + personal trips by GPD

  • %Percent Personal/Leisure. Trips per distance depending on Type of Settelment (1,2,3,4,5,6) Based on Spatial Developement indicators (SPESP).

  • Self Containing trips: Internal trips rates

  • External Trips rates

Without calibration. Used STREAMS and other sources as benchmark.

Trip Distribution

Single origin constrained.  By trip purpose:

Bussines/Obligated

  • Relationship between the country who belongs to zone (i) and the country who belongs to zone (j)

  • Capitatility index (4 for Europe,2 for capital of the city and 1 for others)

  • Population of zone (j)

  • Gross Domestic Product of zone (j)

  • Cost to travel from zone (i) to zone (j)

Vacation/Leisure

  • Relationship between the country who belongs to (i) and the country who belongs to (j)

  • Capitatility index (4 for Europe,2 for capital of the city and 1 for others)

  • Population of zone (j)

  • Tourist preasure on site of zone (j)

  • Cost to travel from zone (i) to zone (j)

Visit/Personal

proportional on predefined values based on Population citizenship on the resident countries.

Without calibration. Used World Tourism Organsation statistics, EUROSTAT Air traffics, STREAMS and other sources as benchmark.

Modal Split

Combined with Assignment on a multimodal network.

Other O/D Matrix Projection

None

Scenarios: Exogenous hypothesis

Open to the analyst. Key variables: GDP growth, GDP distribution, EU enlargement process and demographic growth,  network construction and road pricing.

Periodicity

Average day in the year

Assignment

Combined with Modal Split. All or Nothing assignement with penalties.

Sensitivity test

GDP growth, GDP distribution

Type of the results

Long distance Traffic on road, railway and air-lines links.

Output Database structure

OD matrix to be assigned (each OD has three values according to time values) and OD matrices by trip purposes. Traffics per link.

Internal Validations

Comparison between forecasted and actual road traffics in links from United Nation surveys carried out internally. 

Literature

No yet published.

Modelling software

Bridges/NIS, EXCEL  and Mcrit AON assigment routines

Statistical software

EXCEL

Database software

DBF/Clipper, ACCESS, Bridges/NIS

GIS software

Bridges/NIS

Hardware

PC Intel Pentium III,450Mhz, 256Mb RAM (minimum)

Expected Running time

30 minutes for Generation/Distribution  
120 minutes for Assignment-Modal Split (39.060 OD flows per 3 values of times segments, so 117.480 pairs of OD flows are assigned).

Usability

Generation/Distribution are carried out in EXCEL (and Visual Basic) with a user-friendly interface. Assigment is an streighforward process using Bridges/NIS assignment routines.

Validated by proprietor

Not yet

Validated by scientific committee

Not yet

Who fill this form

Mcrit sl

Audit:

 

 


 
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