Contribution of public transport to
urban accessibility in the Netherlands




Ambrosius Baanders
ECORYS, Rotterdam


Paul...
increasing congestion


decreasing accessibility of economic centres
increasing congestion


decreasing accessibility of economic centres



Q: What is the present role of public transport
  ...
study commissioned by NL Ministry of Transport
            to ECORYS and Goudappel Coffeng



objective:

  make “photo” o...
method [1]



existing modelling tools insufficient



combination of
 modelling tools and
 local expertise
method [2]

preliminary choices:
  current situation    transport model base years
  morning peak: 07:00 – 09:00
  twelve ...
method [2]

preliminary choices:
  current situation    transport model base years
  morning peak: 07:00 – 09:00
  twelve ...
method [2]

preliminary choices:
  current situation    transport model base years
  morning peak: 07:00 – 09:00
  twelve ...
The twelve urban
regions studied
method [2]

preliminary choices:
  current situation    transport model base years
  morning peak: 07:00 – 09:00
  twelve ...
Levels of the analysis
                                                                  and relevant trips
              ...
method [2]



analysis by:

 clusters of cities by size
                     300,000       100,000       50,000       14,0...
The market segments




                 3   2
     1
    within the
    urban area

                     from another
   ...
method [3]


workshops:

 participants: experts from local / regional
 stakeholders

 making estimates of effects with the...
method [3]



steps in the workshops:

1. verify the data

2. select the measures (“policy dials”)

3. estimate the potent...
method [3]




                                        number of trips >100


Origins of morning peak trips to   23   % sh...
method [3]


Input data per economic centre
method [3]



steps in the workshops:

1. verify the data

2. select the measures (“policy dials”)

3. estimate the potent...
The “policy dials”

• Quality of public transport
• Parking policy
• Public transport fares
• Mobility management
• Interm...
method [3]

Selecting the “policy dials”
method [3]
                         “Tuning” the “policy dials”
Mixing console policy dials


PT Quality    Parking restr....
method [3]



steps in the workshops:

1. verify the data

2. select the measures (“policy dials”)

3. estimate the potent...
method [3]



steps in the workshops:

1. verify the data

2. select the measures (“policy dials”)

3. estimate the potent...
method [3]

Current PT share and potential for growth
method [3]

PT trips affected by each of the measures
method [3]
Contribution of each of the measures to potential
                 PT share growth
results: the “photo”

level of the regions

90 – 50 % of trips have destination in urban area

all modes:
    work trips  ...
results: the “photo”
level of the cities: shares of the market segments and shares of PT
                                 ...
results: the “photo”

level of the economic centres

share of the market segments by economic centre of
trips relevant for...
results: the potential
Importance attributed in the workshops
         to the “policy dials”
                             ...
results: the potential

Potential for PT share increase
results: the potential
Contribution of the “policy dials” to the potential
conclusions

current contribution

What is current role?
    Flows within the cities / urban areas
    Flows from other re...
conclusions

estimation of the potential

What is expected potential?
   Between 1 % and 10 % of total trips to economic c...
conclusions

the method: combining models and expert
knowledge
Worked well

Was a combination of several benefits:
 models...
conclusion for AMTU:
  continue to study
broos.baanders@ecorys.com

  pvbeek@goudappel.nl
Contribution of public transport to urban accessibility in the Netherlands
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Contribution of public transport to urban accessibility in the Netherlands

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Sr. Ambrosius Baanders,
Consultor principal. ECORIS.

Resum ponència: El ponent ens descriurà la contribució actual del transport públic a l’accessibilitat de distintes regions urbanes de Holanda. Identificarà el potencial de creixement que aquesta té a partir del coneixement combinat de diferents experts en aquest camp.

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Contribution of public transport to urban accessibility in the Netherlands

  1. 1. Contribution of public transport to urban accessibility in the Netherlands Ambrosius Baanders ECORYS, Rotterdam Paul van Beek & Sander van der Eijk Goudappel Coffeng, Deventer
  2. 2. increasing congestion decreasing accessibility of economic centres
  3. 3. increasing congestion decreasing accessibility of economic centres Q: What is the present role of public transport in serving the important economic centres and how can public transport help to alleviate car congestion problems?
  4. 4. study commissioned by NL Ministry of Transport to ECORYS and Goudappel Coffeng objective: make “photo” of current contribution of PT estimate potential to increase contribution of PT
  5. 5. method [1] existing modelling tools insufficient combination of modelling tools and local expertise
  6. 6. method [2] preliminary choices: current situation transport model base years morning peak: 07:00 – 09:00 twelve regions focus on “economic centres” in urban areas trips relevant for public transport
  7. 7. method [2] preliminary choices: current situation transport model base years morning peak: 07:00 – 09:00 twelve regions focus on “economic centres” in urban areas trips relevant for public transport
  8. 8. method [2] preliminary choices: current situation transport model base years morning peak: 07:00 – 09:00 twelve regions focus on “economic centres” in urban areas trips relevant for public transport
  9. 9. The twelve urban regions studied
  10. 10. method [2] preliminary choices: current situation transport model base years morning peak: 07:00 – 09:00 twelve regions focus on “economic centres” in urban areas trips relevant for public transport
  11. 11. Levels of the analysis and relevant trips 100% Total number of arrivals per region 50-80% Dispersed trips (not linked to the cities) Arrivals in the cities 20-50% Arrivals outside the Arrivals in the Economic Centres Economic Centres 10-45% Trips of < 2,5 km Arrivals relevant for and streams of <20 trips public transport Estimation of potential
  12. 12. method [2] analysis by: clusters of cities by size 300,000 100,000 50,000 14,000 inhabitants 1 2 3 4 market segments
  13. 13. The market segments 3 2 1 within the urban area from another region 4
  14. 14. method [3] workshops: participants: experts from local / regional stakeholders making estimates of effects with the help of an interactive spreadsheet
  15. 15. method [3] steps in the workshops: 1. verify the data 2. select the measures (“policy dials”) 3. estimate the potential growth relative to current PT volume 4. feedback on the results
  16. 16. method [3] number of trips >100 Origins of morning peak trips to 23 % share PT Utrecht Centre-North
  17. 17. method [3] Input data per economic centre
  18. 18. method [3] steps in the workshops: 1. verify the data 2. select the measures (“policy dials”) 3. estimate the potential growth relative to current PT volume 4. feedback on the results
  19. 19. The “policy dials” • Quality of public transport • Parking policy • Public transport fares • Mobility management • Intermodal chaining • Marketing and image
  20. 20. method [3] Selecting the “policy dials”
  21. 21. method [3] “Tuning” the “policy dials” Mixing console policy dials PT Quality Parking restr. PT Fares Mob. manag, Marketing Interm. chains Image Spatial pol.
  22. 22. method [3] steps in the workshops: 1. verify the data 2. select the measures (“policy dials”) 3. estimate the potential growth relative to current PT volume 4. feedback on the results
  23. 23. method [3] steps in the workshops: 1. verify the data 2. select the measures (“policy dials”) 3. estimate the potential growth relative to current PT volume 4. feedback on the results
  24. 24. method [3] Current PT share and potential for growth
  25. 25. method [3] PT trips affected by each of the measures
  26. 26. method [3] Contribution of each of the measures to potential PT share growth
  27. 27. results: the “photo” level of the regions 90 – 50 % of trips have destination in urban area all modes: work trips 50 – 58 % education trips 22 – 26 % other trips 20 – 23 % public transport: work trips 56 – 53 %, large cities ~ 62 % education trips 43 – 44 %, large cities ~ 33% other trips 3– 5%
  28. 28. results: the “photo” level of the cities: shares of the market segments and shares of PT other city outside within urban area in region regional region PT 23% PT 33% PT 21% PT 34% City cluster 1 PT 7% PT 18% PT 12% PT 23% City cluster 2 PT 8% PT 23% PT 18% PT 28% City cluster 3 PT 2% PT 11% PT 7% PT 13% City cluster 4
  29. 29. results: the “photo” level of the economic centres share of the market segments by economic centre of trips relevant for PT (> 2.5 km) Market Market Market Market Total all segment 1 segment 2 segment 3 segment 4 segments within urban from other from within from another area city in region region region City centre in cluster 1 69% 12% 6% 13% 100% City centre in cluster 2 49% 13% 27% 11% 100% City centre in cluster 3 45% 11% 33% 11% 100% City centre in cluster 4 34% 13% 29% 24% 100% Office parks 44% 13% 28% 14% 100% Commercial estates 58% 11% 18% 13% 100%
  30. 30. results: the potential Importance attributed in the workshops to the “policy dials” City centre Office park Commercial estate Large city Small city Quality of public transport 1 2 3 supply Parking regime 3 3 4 2 Public transport fares 3 3 4 Mobility management 3 3 Intermodal chaining 3 2 Marketing and image 4 4 4 4
  31. 31. results: the potential Potential for PT share increase
  32. 32. results: the potential Contribution of the “policy dials” to the potential
  33. 33. conclusions current contribution What is current role? Flows within the cities / urban areas Flows from other regions What is explanation of differences? Differences in local circumstances Influence of land use patterns? Role increases with size of the urban area Which travel purposes? Work = 50%+, education = 50%-. Largest cities: work = larger share
  34. 34. conclusions estimation of the potential What is expected potential? Between 1 % and 10 % of total trips to economic centres Increase at the expense of which mode? The car (bicycle > 2.5 km?) What measures contribute? Improvement of PT supply quality Makes tightening of parking regime possible Mobility management, intermodal chaining, marketing Fares not important Relationship between the measures? “Dials” cannot be turned independently “Tuning” Role of the train? larger in largest cities varies elsewhere due to local network configuration
  35. 35. conclusions the method: combining models and expert knowledge Worked well Was a combination of several benefits: models used that were owned by the regions = own tools expertise in the regions used: clear added value to model results outcomes were trusted, because not a black box
  36. 36. conclusion for AMTU: continue to study
  37. 37. broos.baanders@ecorys.com pvbeek@goudappel.nl
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