Title: Laborator ekotoxikologie
1The modelling of 2 different cases of the trip
distribution in EMME in the Czech Republic
Jiri Dufek, Transport Research Centre Brno,
Czech Republicjiri.dufek_at_cdv.cz
2The modelling on regional and urban level
Regional level Urban agglomeration Middle
Bohemian region Brno city
3The modelling on regional and urban level
Regional level Urban agglomeration Middle
Bohemian region Brno city
4The Middle Bohemian Region
Basic information
- data of National population census used for
trip generation - 574 zones, 512 internal (cities, towns ,
villages), 62 external) - zone groups (ga) system corresponding to the
administrative units, former districts
Ensembles defined - ga districts - 14 zone
groups - gb capitals - 2 groups (Prague
gb2 and others gb 1)
5The Middle Bohemian Region
Demand between districts (ga)
- knowledge of demand between individual
district based on National Population Census -
3D trip distribution - all OD pairs were assigned to specific
categories, depending on a district which they
belong to 3rd dimension
Demand from district capitals (gb1) to the Prague
(gb2)
Node label town name Node number total
production
This is not aggregated demand (only between
district capitals)
6The Middle Bohemian Region
Demand between districts (ga)
- Strong demand inside each district (ga), small
demand between outlying districts - - insufficient 2D distribution, suitable 3D
distribution - 3rd dimension sorted matrix by origin and
destination district - 3rd dimension totals district to district
demand from population census
DISPLAYED DEMAND
- between district capitals (gb1)
- - depends ON districts
- - depends NOT ONLY ON travel time and zones
attractivity
7The Middle Bohemian Region
Demand between districts (ga)
- differences between demand within a district
and outside a district
DISPLAYED DEMAND
- result of the 3D modelling
- strong impact of 3rd dimension (demand between
districts) - displayed with a help of intrinsic function
which
8The Middle Bohemian Region
Model network information
- done by data exchange between ArcView and EMME,
- very detailed 4711 regular nodes, 14268 links,
- interactive adjustments of the input from GIS
(highway exits, big intersections), - intersection and turn definition.
Example of the intersection done interactively
- blue one way links - red two way links
- in circles all allowed turns
9The Middle Bohemian Region
Temporary results of assignment
- equilibrium assignment, BPR volume / delay
function - demand matrix resulted from 3D trip
distribution - VDF variables free flow speed, link capacity
- until now only commuting
Detailed view - assigned volumes on the
intersection (example)
10The Middle Bohemian Region
Conclusion remarks
- only 1 scenario until now, not finished
- now it is only commuting, shopping demand is
being modeled - the development scenarios containing planned
actions will be tested - the model is 1-modal (auto), planned to be
multimodal - public transport lines will be put in
- a modal split between individual and public
transport will be modeled
11The Brno city and surrounding
Model upgrade
- new zoning system zones are urbanistic units
- knowledge of delatied socioeconomic data about
population in individual zones, from National
Population census inhabitants age, employment,
sex, householsd equipment, car ownership, etc.. - totally 315 zones 278 urbanistic units of Brno,
11 nearest villages and 26 external zones
The whole network with urbanistic units and
displayed centroids of nearest villages
Detailed view city centre
12The Brno city and surrounding
Model upgrade
- The Integrated of public transport system (IDS
JMK) - 57 urban lines (13 tram, 11 trolleybus, 33 bus
lines) - new 27 regional bus lines and 5 train lines
The whole network with zone bonudaries, train
links and regional bus lines
Regional bus lines usually end in significant
city transport stops, for the passengers
transfers.
13The Brno city and surrounding
Determination of transport production and
atractivity
- Production
- Data source population census
- No. of people leaving the zone for commuting
- No. of pupils and students leaving the zone
- Data source web sites
- The capacity of student colleges in Brno
- Attractivity
- No. of jobs in individual companies and
institutions in Brno - Data about shops- estimation of No. of the
customers per a day from companies incomes (data
source commercial statistics) - The capacity of all secondary and higher schools
in Brno (data source Internet, personal
interviews)
14The Brno city and surrounding
Overeview of production and attraction matrices
in the system
mo md
mo1 total commuting md1 No. of jobs
mo2 students leaving homes md2 No. of shopping persons
mo22 students leaving colleges md3 No. of school attendants (secondary and higher)
mo3 men commuting md4 No of customers of big shopping centres
mo4 women commuting md5 external zones people living outside Brno travelling home
mo5 production of external zones md6 total of all atractivities
mo9 shopping production
15The Brno city and surrounding
Examples of the production and attraction plots
mo1 - commuting
16The Brno city and surrounding
Examples of the production and attraction plots
mo2 students from home
mo2 students from colleges
17The Brno city and surrounding
Examples of the production and attraction plots
md1 No. of jobs
18The Brno city and surrounding
Examples of the production and attraction plots
md2 shopping
19The Brno city and surrounding
Types of the trips considered
HWH home work home HWShH home work
shopping home HShH home shopping
home H(C)SchH home (college) school - home
- only secondary and hogh schools, primary
schools transport is considered to be within a
zone
20The Brno city and surrounding
Calculations of trip distribution
- input matrix negative exponential function of
distances between zones - production data is more reliable the
attractivity data scaled by production (except
HSH)
HWH gravity (entropy) model, production - mens
commuting, attractivity No. of
jobs HWShH 3-leg trip chain (macro tchain3
used), production women commuting (typical in
Czech Republic), atractivities Aq No. of
jobs, Br No. of customers in shops HShH
gravity (entropy) model proportional
distribution of No. of shopping centres
customers between all zones according to No.
of inhabitants H(C)SchH gravity (entropy) model
- only secondary and high schools, primary
schools transport is considered to be within a
zone
21The Brno city and surrounding
Dealing with external zones
- 32 external zones entries to/from the model area
- 19 zones car and bus entry
- 7 zones car entry only
- 6 zones train entry only
22The Brno city and surrounding
Dealing with external zones
- Total production splited to 3 mo matrices car,
carbus and train - Data souces
- car transport traffic volumes from National
Traffic Census - No. of passenges lack od surveys estimation.
- Attractivity total od previous attractivities
(work, shops, schools, ...)
23The Brno city and surrounding
Resulted full demand matrices
mf2 from home or college to school mf11 1st leg
of trip chain calculation (movement of employed
women) mf12 2nd leg - work shop mf13 3rd leg
shop home mf14 from home to work (employed
men) mf19 from home to shopping centre mf22 from
external zones (auto) mf23 from external zones
(auto and transit) mf24 from external zones
(transit)
24The Brno city and surrounding
Modal split and auto assignment
Calculation od the modal split (matrix mf20) not
finished yet, utility functions are not
definite mf20 e f (mf3, mf9, mo12, md12) / (ef
(mf3, mf9, mo12, md12)) (ef(mf4, mf1, mo12,
md12))
mf3 auto travel time (min)
mf9 auto costs ( CZK)
mo12 No. of cars per a worker
md12 parking costs (only in central zones)
mf4 transit time
mf1 transit rate
Calculation of all day auto demand (matrix
mf16) (mf19mf19'mf22mf22')(mf11mf12mf13mf
14mf14'mf24mf24')mf20
explanations to matrices / see previous slide
25The Brno city and surrounding
Modal split and auto assignment
assigned auto demand (mf16) volumes must be
calibrated
26The Brno city and surrounding
Conslusions
- Next plans in Brno
- calibration of modal split functions (in Brno
55 cars, 45 ) - calculation and assignment of urban transport
matrix - development of scenarios (some already are in
older model) - construction of Big City Circle and other
planned roads - two high speed tramway lines
- a shift of Central railway Station
- the Park and Ride system.