Paper 8 Author: Göran Tegnér, Transek AB, Sweden Title: The use of EMME/2 for an improved Bus Network in the city of Örebro, Sweden Contents 0 1 2 3 4 5 6 7 0 ABSTRACT.................................................................................................................................... 1 The City of Örebro and its Bus Network......................................................................................... 2 Today’s Public Transport and Road Traffic Flows.......................................................................... 2 The demand model and coding the network .................................................................................. 4 Attracting new riders by improving the bus network? ..................................................................... 7 Six bus network scenarios analysed .............................................................................................. 9 Trip characteristics – link flows ...................................................................................................... 9 Overall results and recommendations.......................................................................................... 12 ABSTRACT The bus network in the central parts of the city of Örebro, a medium sized city in mid-Sweden, has been analysed by applying the FREDRIK Demand model and the EMME/2 Transportation Planning System. The city of Örebro has a dense and appropriate bus network. Nevertheless, there is a scope for improvements in the network. In the study we have used various modules and options in the EMME/2 model, in order to analyse the market for improved transit ridership. Most transit companies undertake several on-board surveys, and extract information about the present day trip pattern – among already captured transit users. However, to get new riders, there is a need to know the trip pattern of the non-users, mostly car users. By calculating the original and destination pattern for the car trips, we have revealed the trip pattern for the competitive mode – car users. We also created a transit travel time elasticity matrix, to find out where the highest responses to transit travel time reductions were to be found. This was all done with the EMME/2-programme. In the city centre many bus lines are concentrated. Most plot pictures of transit flows thus become rather messy in a traditional EMME/2 plot. By using the new feature with extra link attribute in module 2.13 in release 9.0, we have been able to colour separate the various transit lines according to different types, such as: city buses, county buses, and regional rail lines. A comprehensive study of six network scenarios were then carried out with the following type of output: Transit passenger flows by line & car traffic volumes Overall mode shares transit – car traffic Travel time gains by travel component The Generalised Cost concept (weighted travel times and costs) Number of boardings, alightings and transfers at nodes Total vehicle kilometres, vehicle hours and average vehicle speed Our findings indicate that a concentration and a modification of four major bus lines into a so called: “Head lines” in a combination with altered itineraries for the county bus lines from more distant communities via suburban work-places would enhance the use of public transport and reduce the overall generalised travel times for the users. This would also marginally reduce car traffic in the central parts of Örebro. 1 The City of Örebro and its Bus Network The city of Örebro, 150 km west of Stockholm has population of 72.000 inhabitants 7while the entire county of he Örebro contains 233.000 people. The number of employed are 33.000 persons in the city and 113.000 persons in the county. There is an inter-city rail service as well as a new high-speed regional commuter rail service between Stockholm and Örebro. There is a large regional hospital and a University in Örebro, which is also a regional centre for industry and Örebro is the regional administrative hub of mid-Sweden. 2 Today’s Public Transport and Road Traffic Flows The public transport system is dominated by local and regional bus service, and the commuter rail service, which is served by railway stations in the city of Örebro (2 stations). The structure of the bus network is completely radial with all lines focused in the central squares in the city centre. The map shows the central area of Örebro covered by the FREDRIK - EMME/2 Modelsystem: The blue lines show which roads/streets are geo-coded into EMME/2, while the full underlying road network is presented as a MapInfo background layer. The map below shows the regional area covered by the FREDRIK - EMME/2 Model system. Not every road and regional bus line is coded into the model. But all major primary and secondary roads and all bus lines that are connected to the central parts of the city of Örebro are included. 3 The demand model and coding the network The FREDRIK – EMME/2 Model system TRANSEK Consultants Company has developed the traffic planning system FREDRIK, which is a computer model system to handle travel demand in urban and regional areas in a user-friendly way. This planning tool consists of a system of logit models simulating travel behaviour in terms of choices of the trip-makers. This comprises. the number of trips generated, between which areas, by which mode of transport the trips are made and along which travel routes and transit lines the trips finally are decided to take place. This system is integrated with the world famous EMME/2 transportation planning package. Together the two systems - FREDRIK and EMME/2 form a complete four-step transportation model system for integrated road and public transport planning for urban and regional applications. FREDRIK - EMME/2 The 4-step Travel Demand & Supply Model System Future Transport Network * Auto * Transit Land use and Soci-Economic Data Other Traffic variables EMME/2 Network Assignment Model Trip Travel Times * Auto * Transit FREDRIK Traffic counts External flows from regional entries Auto and Transit Trip Matrices Calibrated Auto and Transit flows EMME/2 Network Assignment Model Assigned and Calibrated Trips FREDRIK is a registred trade mark of TRANSEK Consultants The FREDRIK system consists of eight sub-models for each of the following trip purposes: Company and stands for Frequency choice,Route choice, Emme/2, Destination choice, Route mode choice, logIt models, transeK. Work-trips Home-based Business trips Work-place-based Business trips Shopping trips Personal Business trips Recreation trips Personal Visit trips School trips The mechanism of the system implies that the number of trips generated, the distribution of trips on destinations as well as the choice of travel modes, are highly dependant on a wide range of explanatory factors, all of them treated in a behaviourally sound and consistent way. The system handles four travel modes: car transport public transport walk mode bicycle mode With the FREDRIK/EMME/2- model system the following impacts can be analyzed: Road Network - new road/street links - closure of road capacity (bus-only lanes, one-way street) - changed road/street capacity - road pricing Public Transport Network - new lines (bus, train) - changed level-of-service (times, speeds, frequencies, transfer points, walking distances) - public transport fares Residential and Work-place Location - new residential areas - new work-place areas - changes densities/urban sprawl/ - changed pattern of activities Travel Costs - costs for auto usage - costs for transit usage Socio-demographic factors - household size and income levels - car ownership levels The FREDRIK system is used to simulate various types of transportation policies. The impacts from all kind of changes on the total amount of road traffic will be calculated by using the EMME/2 equilibrium method to achieve equilibrium flows in the road network, using volume-delay functions for simulating congestion. Also for the transit mode, the EMME/2 optimal strategy method is used. The impacts on the car and transit trip patterns from altered land-use, as well as from changes in the socio-demographic structure of the travellers could also easily be analysed within the framework of the model system. This four-step model is in use (May-99) in Stockholm and the Mälar Valley Region as well as in Malmö, Uppsala, Västerås, Örebro, Umeå, Södertälje and Halmstad in Sweden. It is also in use in Oslo, Norway. The system is installed in all Road and Rail Administration Regions in Sweden and at SIKA – the Swedish Institute for Communication Analyses. The system has moreover been utilized for studies on light rail projects in the city of Kayseri in Turkey. Network characteristics The EMME/2 databank consists of: 248 traffic zones 1,096 nodes 3,636 directed links 100 transit lines (for three specific time-periods) 4,000 transit lone segments 340 turns The planning problems The detailed planning questions that were supposed to be answered by the study were: The possibilities to reach the new “travel centre” at the railway station The impacts of a new bridge across Svartån (the Black Stream) The location of bus routes within the city centre Improved accessibility to the Regional Hospital of Örebro (RSÖ), and to the university and other work-places outside the city centre Is there enough demand for tangential bus routes? The co-ordination between regional and city bus lines 4 Attracting new riders by improving the bus network? The market share for bus trips is estimated to be 25 percent of all motorised trips (car and public transport trips, walk and bike trips excluded). This is an extremely high market share. How do you achieve to improve such a good system in a medium sized city like Örebro? Well we started our analysis by comparing the origin-destination trip pattern between car users and bus/rail users. OD-trip pattern among car users In the EMEM/2 plot picture below the trip destinations for car trips is shown for the south-western part of the central area of Örebro: 7 As can be seen from the plot picture there is a substantial spread of trip ends among car users. Most of these work-places are industrial zones, with extremely low market shares for public transport mode – bus. OD trip pattern among bus users This trip destination plot picture shows the trip ends among bus users aiming at the city centre area: As can be seen, the trip ends are rather concentrated to a few centrally located squares in the city of Örebro. 8 As a matter of we found out from the trip matrices a dramatic difference I the overall trip pattern between car users and bus users: The bus mode has its highest mode shares only to the central city destinations, with very few exceptions; and extremely low modes shares to all other - more peripheral destinations The car mode has rather low mode shares to the city destinations, but on the other hand, very high mode shares to all other, non-central locations. So, if one wants to improve the market for urban bus traffic, one has to seek the solutions among those origin-destination pairs, where the market potential (low transit market shares, but very high absolute concentrations in terms of the total number of commuters) is substantial. 5 Six bus network scenarios analysed At first a number of bus planning ideas were tested before we introduced the network model system. Then six different scenarios were established and compared to the base scenario: New bridge Re-routing of bus lines to a new bus only bridge Pendulum Development of today’s radial bus network Major Bus Routes Concentration on a few major heavy bus lines Tangential Establishing a few ring lines Improved Regional Bus Give the regional bus lines a "city role" Double bus frequency Sensitivity analysis of a doubled bus frequency1 Performance indicators The following performance indicators were chosen as guidelines for evaluation for the City and County of Örebro: Transit market shares Weighted travel time gains (Generalised time) Increased transit ridership (absolute and in percent) Impact on car usage Supply indicator: (vehicle fleet; peak and off-peak headway; vehicle kilometres) Social net benefits 6 Trip characteristics – link flows The amount of car and transit trips is shown for the central part of Örebro below: Transit trips are much fewer and more concentrated to the city centre than car trips are: 1 The doubled frequency is applied on the four heaviest bus lines- not on all lines. 9 In the city centre many bus lines are concentrated. Most plot pictures of transit flows thus become rather messy in a traditional EMME/2 plot. By using the new feature with extra link attribute in module 10 2.13 in release 9.0, we have been able to colour separate the various transit lines according to different types, such as: city buses, county buses, and regional rail lines. On the regional scale, rail lines are shown in blue, regional bus routes in red and city bus lines in red. The same colours are representing rail, regional and urban bus lines for the central part of Örebro KOLLEKTIVA RESOR DYGNSTRAFIK LINKS: all LAYERS: Tag Lansbussar Stadsbussar SCALE: 250 WINDOW: 60400/68500.1 71170/76577.5 EMME/2 PROJECT: SCENARIO :14 rebro 250zones Mbasres Dygn orebro 991022jh 00-02-07 13:47 MODULE: 2.13 TRANSEK5.. ..jh Already with this plot, the reader can see how regional bus lines are interfered with the local city bus lines. A better co-ordination between these two separate sub-systems is a natural way of improving the overall performance. As an example from one of the analysed six scenarios, we show the difference plot for the “Improved Regional bus” scenario compared to the base scenario: 11 TRANSIT VOLUMES DIFFERENCE SCENARIO 54 - SCENARIO 14 DIFFERENCE: 54 - 14 LINKS: all SCENARIO 54 T RANSIT LINES: ALL LINES SCENARIO 14 T RANSIT LINES: ALL LINES SCALE: 250 WINDOW: 60400/68499.7 71170/76577.2 EMME/2 PROJECT : SCENARIO 54: SCENARIO 14: rebro 250zones Mbasres cpsc91 dygn med nya lansbussar Dygn orebro 991022jh 00-02-04 15:57 MODULE: 6.23 T RANSEK5....jh A new itinerary for the regional buses entering the city of Örebro from the south-western suburbs and peripheral cities in the county was proposed. Instead of entering the city via the E20 motorway, these bus routes have been diverted through some industrial areas. The decline in the flows (in red) for the present day itinerary is more than offset by the new “Improved Regional Bus” network (in green). These bus lines are also prolonged till RSÖ in the north-eastern part of the inner city (the Regional Hospital of Örebro). The number of transfers in the city centre would be reduced and some car trips would be attracted to the transit mode instead. 7 Overall results and recommendations Major results Some major results are summarised in the table below: Analysed scenarios Generalised time City market Increase share2 transit ridership Base network New bridge “Pendulum” Major Bus Routes Tangential Improved Regional Bus Double bus frequency 90,7 min 89,8 min 90,4 min 88,4 min 89,5 min 85,9 min 83,2 min 25,5 % 25,6 % 25,9 % 26,0 % 26,0 % 26,3 % 26,4 % +1,9 % +2,2 % +2,2 % +2,0 % +5,9 % +3,8 % in Decrease in Vehicle fleet car traffic in peak hours (buses) 65 -0,1 % 66 +0,1 % 61 -0,1 % 61 +0,1 % 60 -0,4 % 65 -0,2 % 107 A good Public Transport Bus Network could be further improved: 2 Of Transit + Car traffic only( walk and bike modes are excluded) 12 In the city of Örebro the motorised market share is 26 % and twice as high as for the county of Örebro. With a transit market share of 13 % for the entire county there is a theoretical potential of 87 % trip makers that do not go by transit today. If one might be able to recruit only 5 % of these 87 % non-users to switch to bus or train, this would imply 33 % more transit users.. If the Örebro Transit system should be developed so as to compete with the private car, then more regional bus lines should pass the peripheral induistrial areas in south-west at peak hours. Besides, as many regional bus lines should be terminated towards the regional hospital instead of just in the city centre. “The Major Bus Route” and the “Improved Regional Bus” alternatives are the best solutions as the improvement is judged to be possible to implement at the present day resource level (by slightly reducing the frequency of some other minor bus lines. Such an improved bus network might contribute to a reduction of the amount of car traffic by some 1,250 car trips per day (approx. 0,5 %). The perceived travel time gain for the two best scenarios – “The Major Bus Route” and the “Improved Regional Bus” alternatives is estimated to be 2.3 and 4.8 minutes respectively, or by 3 % and 5 % respectively, compared to the present day situation. The number of bus trips is estimated to increase by some 3,000 trips per day or by 8 %. Recommendations It is not sufficient only to alter the bus routes marginally. There is a need for broad and co-ordinated package of measures in order to improve transit ridership substantially. Such ingredients of a co-ordinated package for a major increase in transit market shares might be: Enhanced plainness and transparency Information system and directed market campaigns A major bus network with a few major bus lines with fixed time intervals A conceptual network Optimised pricing structure A clear structure for the bus routes Major bus routes Integrated regional bus lines in the city Improved infrastructure A new bus bridge across the river Bus streets Bus priority measures The study was well received in the City and County of Örebro. The work will now continue according to our recommendations and an ”improved” bus network will be implemented after some more detailed studies. 13