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Testing selected solutions to control urban sprawl. The Brussels case city. The Brussels case study. Brussels metropolitan area : About 2.7 millions inhabitants About 1.2 millions jobs Brussels-Capital Region : About 1 million inhabitants Lost 120 000 inhabitants in 30 years
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Testing selected solutionsto control urban sprawl The Brussels case city
The Brussels case study • Brussels metropolitan area : • About 2.7 millions inhabitants • About 1.2 millions jobs • Brussels-Capital Region : • About 1 million inhabitants • Lost 120 000 inhabitants in 30 years • About 650 000 jobs
Brussels Metropolitan area : 2.7 millions inhabitants – 1.2 million jobs Brussels-Capital Region : 1 million inhabitants – 650 000 jobs
The RER project • High quality, rapid and frequent train services within a radius of 30 km around the centre of Brussels • Also serving the Brussels-Capital Region • Investment cost : about 900 millions € • Risk : re-launch of urban sprawl Short run impact on mobility : strong modal shift towards PT,shorter road travel times; strong reduction of fuel consumption and pollutant emissions Long run impact on spatial structure : risk of re-launch of urban sprawl; increased land consumption; longer trips; rising of the fuel consumption; road congestion springing up again within the next 20 years Necessity to implement accompanying measures
Short run impact on mobility : strong modal shift towards PT • Long run impact on spatial structure : risk of re-launch of urban sprawl
Objectives of the accompanying measures • Reinforce the modal shift from private car towards public transport • Counterbalance the long run negative effect of the RER which incites households to out-migrate towards the periphery
Transport demand : persons and goods flows from one point to another LU model TR model Where households and companies do locate, according to : • accessibilities • real estate market prices • regulations • land taxes Which mode, which path do the users use, according to : • transport networks • and their quality of service Travel times and costs between locations Integrated land use/transport modelling
Simulated accompanying measures to the RER (1/5) • Increase of car use cost : • Increase of the cost per km (+ 50 %) • Increase applied only to drivers using a company car (+100 %) • Cordon pricing (7.5 €/day) • Parking restriction : • Restriction of parking capacity alone • Capacity restriction + pricing • Test of spatially different implementations of the policy
Simulated accompanying measures to the RER (2/5) • HOV dedicated lanes on 5 radial motorways • Regional express buses on radial highways (19 lines) – dedicated lanes • In both cases : together with reduction of capacity for (single occupancy) private cars • Increase of the commercial speed of public transport • In the Brussels-capital Region • In periphery (local buses driving users to the RER stations)
Simulated accompanying measures to the RER (3/5) • Implementation of park & ride facilities • Improving intermodality at railway stations (decrease of access time) • Alternative operating scheme for the RER • Changes in the fares of public transport (-20 %, +20 %)
Simulated accompanying measures to the RER (4/5) • Improvement of quality of life in residential neighbourhoods in the inner city within the Brussels-Capital Region (5 communes) • Corollary of the previous policy : implementation of a hierarchy in the road network of the Brussels-Capital Region reduction of network capacity (by 15 %)
Simulated accompanying measures to the RER (5/5) • Territorial fiscal measures applied to households/residential developments : • Fiscal incentive (annual tax reduction) in urban areas + annual tax in suburban/rural areas • Territorial fiscal measures and regulatory measures applied to companies : • Inspired from the ABC theory • Applied to the sector “services to business”
Two stages of simulation and evaluation • First stage : Simulation of individual measures • Second stage : Combination of measures : • Combination of priority measures selected by the Administration = new reference scenario • Combination of other measures tested on the new reference
Synthesis of results – Individual measures (1/3) • Most effective policies – reduction of urban sprawl : • Road pricing • Fiscal measures related to land use • Regulatory land use measure • Indirect effects of land use policies : • Household-targeted policies : indirect effects on employment • Employment-targeted policies : indirect effects on population
Effect on the number of households in the Brussels-Capital Region
Synthesis of results – Individual measures (2/3) • All policies decreasing the generalised transport cost incite to urban sprawl : • Improvement of PT commercial speed • Reduction of PT fare • Decrease of access time to rail stations • Decrease of the generalised transport cost limited to the central area makes it more attractive : • See the results of the policy improving the PT commercial speed within the Brussels-Capital Region
Synthesis of results – Individual measures (3/3) • Most effective policies – environmental impacts : • Road pricing • Parking pricing + parking capacity restriction • Express buses • Road pricing : • Increase of cost per km / cordon pricing • Parking policy : • Local negative effect on employment • Hence : spatial competition to be carefully considered when implementing such a policy
Criteria for the design of packages • Criteria chosen in order to express the objectives : • Minimise the car mileage (proxy for the fuel consumption) • Maximise the urban concentration • i.e. the part of households and employment located in urban areas, including the Brussels-Capital Region and the peripheral urban centres
Selected policy package • Components of the selected package : • Increase of car cost per km (+ 50 %) • congestion pricing : increase of car use cost during the peak hours in the RER area • Decrease of PT fare for trips to work place (- 20 %) • Fiscal measure on residential developments • impact fee on new residential site developments • fiscal reduction in urban areas • Fiscal measure on services to business • annual impact fee per employee when located in areas poorly served by public transport