LATENT DEMAND FORECAST MODEL FOR COLUMBUS PEDESTRIAN THOROUGHFARE PLAN - PowerPoint PPT Presentation

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LATENT DEMAND FORECAST MODEL FOR COLUMBUS PEDESTRIAN THOROUGHFARE PLAN

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Linked LDS = (P b% E)/A. P=total population within the buffer ... Library and Fairground in the buffer of a segment with LDS = 80% Weight score = 3 1=4 ... – PowerPoint PPT presentation

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Title: LATENT DEMAND FORECAST MODEL FOR COLUMBUS PEDESTRIAN THOROUGHFARE PLAN


1
LATENT DEMAND FORECAST MODEL FOR COLUMBUS
PEDESTRIAN THOROUGHFARE PLAN
  • The Mid-Ohio Regional Planning Commission
  • The 11th TRB National Transportation Planning
    Applications Conference
  • May 9, 2007

2
Acknowledgements
  • City of Columbus
  • Maricopa Association of Governments (MAG)
  • Central Ohio Transit Authority

3
Outline
  • Columbus Pedestrian Thoroughfare Plan
  • Review of MAG Latent Demand Model
  • MORPCs Modification
  • Results
  • Conclusions

4
Outline
  • Columbus Pedestrian Thoroughfare Plan
  • Review of MAG Latent Demand Model
  • MORPCs Modification
  • Results
  • Conclusions

5
Pedestrian Thoroughfare Plan
  • Identify major pedestrian network
  • Recognize pedestrian travel needs
  • Promote pedestrian activities

6
Outline
  • Columbus Pedestrian Thoroughfare Plan
  • Review of MAG Latent Demand Model
  • MORPCs Modification
  • Results
  • Conclusions

7
Latent Demand ModelMaricopa Association of
Governments (MAG)
  • Gravity-based Model
  • Non-linked vs. Linked
  • Latent Demand Score (LDS) 0100
  • Relative levels of potential pedestrian travel
    demand among a given network

8
Gravity-based Model
  • Both ends of walk trips
  • Attraction
  • Production

A
9
Gravity-based Model (Contd)
Distance matters
Source MAG Pedestrian 2000-Technical Appendix,
Dec 1999
10
Gravity-based Model (Contd)
  • Spatial queries
  • Buffer

A
11
Gravity-based Model (Contd)
  • Attractor-base queries
  • Segment-based queries

12
Gravity-based Model (Contd)
  • Attractor-base queries
  • Segment-based queries

13
Non-linked vs. Linked
  • Non-linked trips entire trip made by foot
  • Work (college/University)
  • Shopping and Errands
  • School
  • Recreational
  • Linked trips partial trip made by foot (most of
    the trip made by auto/other motorized modes)

14
Latent Demand Score
  • LDS - normalization 0 100
  • Non-linked
  • Linked
  • Combine non-linked and linked trips
  • Composite LDSMAX(non-linked LDS, Linked LDS)

15
Outline
  • Columbus Pedestrian Thoroughfare Plan
  • Review of MAG Latent Demand Model
  • MORPCs Modification
  • Results
  • Conclusions

16
MORPCs Modification
  • Grid System vs. TAZ
  • Impact of Transit Service
  • Additional Pedestrian Attractors

17
¼-mile-square Grid System
  • Regional Connections

TAZ
Grid
18
Impact of Transit Service
  • MAG linked pedestrian trips
  • Linked LDS E/A
  • Etotal employment within the buffer
  • Atotal area within the buffer
  • Attraction (employment) end vs. production
    (residence) end
  • Auto vs. Transit

19
Impact of Transit Service (Contd)
  • Revised linked pedestrian trips
  • Linked LDS (P?bE)/A
  • Ptotal population within the buffer
  • btransit share of trips by the population
  • Etotal employment within the buffer
  • Atotal area within the buffer

20
Impact of Transit Service (Contd)
  • Transit Share b
  • Mode split information at Block Group (BG) level
    from Census 2000 SF3 data
  • Mode split information at Grid level?
  • Transit Service Frequency by Route at Grid level
    from Central Ohio Transit Authority (COTA)
  • Stops in the Grid
  • Headways

21
Impact of Transit Service (Contd)
  • Transit Share b (contd)
  • bM ? (f / F)
  • M max. BG transit share within the entire
    region considered.
  • f transit service frequency within Grid/its
    buffer.
  • Fmax. transit service frequency within Grid/its
    buffer.

22
Additional Pedestrian Attractors
  • Government buildings, sport arena, museum,
    libraries, theaters, etc.
  • Four Categories
  • Service area (local vs. regional)
  • Service type (general vs. special)

23
Additional Pedestrian Attractors
Four Categories
24
Additional Pedestrian Attractors
Weight Score
25
Additional Pedestrian Attractors
  • Example of weighting factor
  • Library and Fairground in the buffer of a segment
    with LDS 80
  • Weight score 314
  • Weighting factor 1.04 (multiplicative)
  • New LDS 80 ?1.04 83.2

26
Outline
  • Columbus Pedestrian Thoroughfare Plan
  • Review of MAG Latent Demand Model
  • MORPCs Modification
  • Results
  • Conclusions

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31
Outline
  • Columbus Pedestrian Thoroughfare Plan
  • Review of MAG Latent Demand Model
  • MORPCs Modification
  • Results
  • Conclusions

32
Conclusions
  • Understanding pedestrian travel demand
  • Evaluating existing sidewalk system (ongoing)
  • Prioritizing pedestrian facility improvements in
    a consistent way
  • Future work refine methodologies and update the
    results periodically

33
Contacts
  • Ahmad Al-Akhras alakhras_at_morpc.org
  • Chris Gawronski cgawronski_at_morpc.org
  • Anthony Hull ahull_at_morpc.org
  • Zhuojun Jiang zjiang_at_morpc.org

34
Questions ? Please use the Microphone.
34
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