Montreal, 18. -20th October, 2006 20th International EMME Users’ Conference The modelling of 2 different cases of the trip distribution in EMME in the.

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Presentation transcript:

Montreal, th October, th International EMME Users’ Conference The modelling of 2 different cases of the trip distribution in EMME in the Czech Republic Jiri Dufek, Transport Research Centre Brno, Czech Republic

Montreal, th October, th International EMME Users’ Conference Regional level: Urban agglomeration: Middle Bohemian region Brno city The modelling on regional and urban level

Montreal, th October, th International EMME Users’ Conference Regional level: Urban agglomeration: Middle Bohemian region Brno city The modelling on regional and urban level

Montreal, th October, th International EMME Users’ Conference Basic information: The Middle – Bohemian Region 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)

Montreal, th October, th International EMME Users’ Conference Demand between districts (ga): The Middle – Bohemian Region 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)

Montreal, th October, th International EMME Users’ Conference Demand between districts (ga): The Middle – Bohemian Region - between district capitals (gb1) - depends ON districts - depends NOT ONLY ON travel time and zones attractivity DISPLAYED DEMAND: Strong demand inside each district (ga), small demand between outlying districts - insufficient 2D distribution, suitable 3D distribution 3 rd dimension – sorted matrix by origin and destination district 3 rd dimension totals – district to district demand from population census

Montreal, th October, th International EMME Users’ Conference Demand between districts (ga): The Middle – Bohemian Region - result of the 3D modelling -strong impact of 3 rd dimension (demand between districts) - displayed with a help of intrinsic function “which” DISPLAYED DEMAND: differences between demand within a district and outside a district

Montreal, th October, th International EMME Users’ Conference Model network information: The Middle – Bohemian Region done by data exchange between ArcView and EMME, very detailed: 4711 regular nodes, 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

Montreal, th October, th International EMME Users’ Conference Temporary results of assignment: The Middle – Bohemian Region 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)

Montreal, th October, th International EMME Users’ Conference Conclusion remarks: The Middle – Bohemian Region 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

Montreal, th October, th International EMME Users’ Conference Model upgrade: The Brno city and surrounding 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

Montreal, th October, th International EMME Users’ Conference Model upgrade: The Brno city and surrounding 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.

Montreal, th October, th International EMME Users’ Conference Determination of transport production and atractivity The Brno city and surrounding 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)

Montreal, th October, th International EMME Users’ Conference Overeview of production and attraction matrices in the system The Brno city and surrounding momd mo1 – total commutingmd1 – No. of jobs mo2 – students leaving homesmd2 – No. of shopping persons mo22 – students leaving collegesmd3 – No. of school attendants (secondary and higher) mo3 – men commutingmd4 – No of customers of big shopping centres mo4 – women commutingmd5 – external zones – people living outside Brno travelling home mo5 – production of external zonesmd6 – total of all atractivities mo9 – shopping production

Montreal, th October, th International EMME Users’ Conference Examples of the production and attraction plots: The Brno city and surrounding mo1 - commuting

Montreal, th October, th International EMME Users’ Conference Examples of the production and attraction plots: The Brno city and surrounding mo2 – students from homemo2 – students from colleges

Montreal, th October, th International EMME Users’ Conference Examples of the production and attraction plots: The Brno city and surrounding md1 – No. of jobs

Montreal, th October, th International EMME Users’ Conference Examples of the production and attraction plots: The Brno city and surrounding md2 – shopping

Montreal, th October, th International EMME Users’ Conference Types of the trips considered: The Brno city and surrounding HWHhome – work – home HWShHhome – work – shopping – home HShHhome – shopping – home H(C)SchHhome (+college) – school * - home * - only secondary and hogh schools, primary schools transport is considered to be within a zone

Montreal, th October, th International EMME Users’ Conference The Brno city and surrounding * - only secondary and high schools, primary schools transport is considered to be within a zone HWHgravity (entropy) model, production - mens commuting, attractivity – No. of jobs HWShH3-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 * 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)

Montreal, th October, th International EMME Users’ Conference The 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

Montreal, th October, th International EMME Users’ Conference The Brno city and surrounding Dealing with external zones Total production splited to 3 mo matrices: car, car+bus 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,...)

Montreal, th October, th International EMME Users’ Conference The Brno city and surrounding Resulted full demand matrices mf2from home or college to school mf111st leg of trip chain calculation (movement of employed women) mf122nd leg - work – shop mf133rd leg – shop – home mf14from home to work (employed men) mf19from home to shopping centre mf22from external zones (auto) mf23from external zones (auto and transit) mf24from external zones (transit)

Montreal, th October, th International EMME Users’ Conference The 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) / (e^f (mf3, mf9, mo12, md12)) + (e^f(mf4, mf1, mo12, md12)) mf3auto travel time (min) mf9auto costs ( CZK) mo12No. of cars per a worker md12parking costs (only in central zones) mf4transit time mf1transit rate Calculation of all day auto demand (matrix mf16): (mf19+mf19'+mf22+mf22')+(mf11+mf12+mf13+mf14+mf14'+mf24+mf24')*mf20 explanations to matrices / see previous slide

Montreal, th October, th International EMME Users’ Conference The Brno city and surrounding Modal split and auto assignment assigned auto demand (mf16) volumes must be calibrated

Montreal, th October, th International EMME Users’ Conference The 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.