nmt infrastructure: bicycle based transit oriented development

23
3A NMT WORKSHOP NMT infrastructure: Bicycle-based Transit Oriented Development (B-TOD) SEAN COOKE 35 th Southern African Transport Conference

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3A NMT WORKSHOP

NMT infrastructure: Bicycle-based Transit Oriented Development (B-TOD)

SEAN COOKE

35th Southern African Transport Conference

2Bicycle-based Transit

Oriented Development (B-TOD)

Transit oriented development (TOD)

Density articulation

NMT integration

Bicycle-based TOD

Conclusion

01 TRANSIT ORIENTED

DEVELOPMENT

4

Transit-oriented development

5

Marks 2016

Transit-oriented development

02 DENSITY

ARTICULATION

7

Suzuki et al 2013

Density articulation

Los AngelesGross base density = 24 persons/ha

PT + NMT mode share = 12%

Revenue-to-cost ratio = <30%

CuritibaGross base density = 30 persons/ha

PT + NMT mode share = 56%

Revenue-to-cost ratio = >95%

South African Cities Network 2011

8

South African context

9

• Public transport corridor operating cost model

• Represents a generic SA Transport corridor

o More detailed relationships

o Historically radial public transport networks

o Phased IRPTN implementation

Study method

Land use model

Transport model

Costing model

10

Density articulation

• 42 TAZs

• 84% coverage

• Walking distance: 1km

• 20km trunk length

42

CBD10

1 40

2

5 9 13 17 21 25 29 33 41

3

4

5

6

26 302 38

1

1 39

37

1 2 3 4 5 6 7 8 9

28 29 30 31 32 33 34 35 36

34

3 7 11 15 19 23 27 34 35

2 6

5

10 14

4

18 223

6

20% 43% 80%

11

Density articulation

03 ROLE OF NMT IN

TOD

Daniels and Mulley 2011

Pedestrian access13

5 min 10 min

Bicycle access14

Adapted from Lee, Choi & Leem 2015

Lee, Choi & Leem 2015

Station Influence Area15

30% 74%

04 BICYCLE-BASED

TOD

17

Bogota CicloRuta NMT network

18

Bicycle-based TOD

Adapted from Lee, Choi & Leem 2015

Cooke 2016

19

40% 78% 90%

Bicycle-based TOD

20% 43% 80%

Pedestrian-based TOD

TOD area 43% of corridor (assuming even density)

Cooke 2016

Bicycle-based TOD20

Bicycle-based TOD

TOD area 78% of corridor (assuming even density)

1,000 km catchment 3,000 m catchment

33% cost reduction

Cooke 2016

21

Bicycle-based TOD

Targeted Areas

SOUTH AFRICAN CITY / MUNICIPALITY

Cape Town Tshwane Joburg NMB eThekwini

(CoCT,

2012)(CoT, 2012) (CoJ, 2010)

(NMB,

2007)

(eThekwini,

2013)

Public Transport Trunk

Corridors (persons/ha)208 150 232 238 209

Bulman 2015

05 CONCLUSION€ £

¥ $

Thank you

Sean Cooke

University of Cape Town

[email protected]