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The Frequent Bus Network: 
A Model for Improving Bus Services in Indian Cities 
A Webinar via The Hub 
Ashwin Prabhu 
Manager – Urban Transport , EMBARQ India 
Email: aprabhu@embarqindia.org
The Frequent Bus Network: 
Rationale & Concept
The Direct Services Model 
This is the model for bus 
services operated by all Indian 
Cities: 
Every location in the city is 
provided with a direct route to 
the city centre and other 
major hubs 
+ 
Any pair of locations with a 
certain level of demand is 
provided with a direct route 
between them
Issue 1: Exponential Growth in Number of Routes 
3 Hubs 
3 Locations 
9 Routes
Issue 1: Exponential Growth in Number of Routes 
3 Hubs 
6 Destinations 
18 Routes
Issue 1: Exponential Growth in Number of Routes 
3 Hubs 
9 Destinations 
27 Routes
As a result of the direct services model, 4 
routes are required to provide services 
along a single, relatively short stretch of 
road
Issue 2: Low Frequencies on Individual Routes 
As fiscal capacities are generally constrained, fleet size 
cannot keep up with the exponential increase in number of 
routes 
Eventually, this system ends up with a large number of 
routes with only 1 or 2 buses 
If these routes are long – as routes serving the city 
periphery tend to be – this results in long wait times on 
individual routes
Route 356-B 
KR Market 
To 
Karpur 
Route Length: 
34.3 KM 
Buses: 
1 
Wait Time till next 
bus: 
~120 Min
Issue 3: Excessive Complexity for Users 
Large number of routes increases system complexity and 
acts as a barrier to entry for new users 
System complexity means developing user information 
systems - like maps at bus stops - becomes very difficult
Issue 3: Excessive Complexity for Users 
An example of a complicated bus route map: 
Tracing a single bus route is difficult and confusing 
In the direct services model with excessive routes, this is the 
only type of map possible
The Alternative: 
An example of a simpler, structural bus route map 
Plotting journey route is much simpler 
This is only possible with a rationalised, transfer based network
The Frequent Bus Network 
Direct Services Integrated Services
The Frequent Bus Network 
Principle #1: 
Individual Routes along Major Roads are rationalised into a 
small number of Very High Frequency Routes
The Frequent Bus Network 
Principle #2: 
Travel Patterns that require moving beyond the major road are 
served by routes connecting to the Frequent Bus Network at 
interchange points
The Frequent Bus Network 
Principle # 3: 
Specific Travel Patterns are served not by direct routes, but by 
a collection of ‘direction-oriented’ services connected by 
transfers
Benefits of The Frequent Bus Network 
Improves: 
System Simplicity 
fewer routes, easier to navigate 
Quality of Service 
more buses per route, higher frequency 
System Capacity 
higher frequency on specific ‘links’ 
Flexibility 
easier to match supply to demand
Implementing 
The Frequent Bus Network 
in 
Bangalore (BMTC)
The Frequent Bus Network in Bangalore 
BMTC is implementing Two Major Route & Network 
Structure Reforms: 
1. The BIG Bus Network 
2. Feeder Services for Peripheral Destinations
1. BIG Bus Network 
The BIG Bus Network is a Connective Grid of 
High Frequency, Direction-Oriented services along 
Major Roads 
BIG = Bangalore Integrated Grid
1. BIG Bus Network
1. BIG Bus Network
1. BIG Bus Network
1. BIG Bus Network
1. BIG Bus Network – Full Network
2. Feeder Services for Peripheral Destinations 
Peripheral Destinations - which lie beyond ORR and off 
arterial roads - will be served with high frequency feeder 
services connecting them to the main road
2. Feeder Services for Peripheral Destinations
2. Feeder Services for Peripheral Destinations
BIG Bus Network + Feeders: An Example
BIG Bus Network + Feeders: An Example
BIG Bus Network + Feeders: An Example
An Example: 
Hosur Road Corridor
Hosur Road Corridor 
Existing Services: 
From City Centre to 
Electronics City and 
Beyond 
63 Routes 
262 Buses
BIG Bus Network + Feeders: Hosur Road
Hosur Road 
Corridor 
BigTrunk 
BigConnect 
Feeder
Routes 
existing proposed 
Trunk Service 
Direct Service 
TOTAL 
BigTrunk 6 
BigConnect 3 
Feeder Services 21 
30 
15 
48 
63 
52.4% reduction in number of routes 
while maintaining same geographic service 
coverage
Improving Service Quality (1) – Wait Times 
Shorter length of feeder routes means that waiting times 
away from the main road are reduced 
However, there is an additional component of waiting time 
now: waiting for the trunk service 
But the trunk service is run at a very high frequency (~3 min) 
So the reduction in wait time is still very significant
Existing Service 
Route 356-B 
KR Market 
To 
Karpur 
Route Length: 
34.3 KM 
Buses: 
1 
Wait Time till next 
bus: 
~120 Min
Proposed Service 
Feeder Route: 
Route Length: 
10.1 KM 
Round Trip Time: 
72 Min 
Average Wait: 
36 Min 
BigTrunk Route: 
Average Wait: 
3 Min 
Total Wait Time: 
39 Min 
d
Improving Service Quality – Wait Times 
existing proposed 
TRUNK 
FEEDER 
TOTAL 
0 
120 
120 
3 
36 
39 
wait 
time 
67.5% reduction in wait time for bus service
Improving Service Quality – Wait Times 
For all bus stops in the proposed system: 
Waiting times reduce by an average of 
56%* 
*weighted by passenger volume
Fleet Requirement 
existing proposed 
Trunk Service 
Direct Service 
TOTAL 
BigTrunk 187 
BigConnect 35 
Feeder Services 40 
262 
167 
95 
262 
Service Quality improvements are achieved 
without any additional fleet requirement
Challenges in Implementing 
The Frequent Bus Network
Will this work? Potential Concerns 
3 Major Concerns 
1. Transfers: 
A. “People do not want/like to make transfers” 
B. “People making direct trips will be forced to transfer” 
2. Fares 
A. “People will have to pay a transfer penalty” 
3. User Education 
A. “People will not understand the new system”
Mitigating Concern 1: Transfers 
A. “People do not want/like to make transfers” 
Bus Stop Access Mode - Chandapura 
53% 
4% 
4% 
10% 
4% 
12% 
13% 
[n=1650] 
BMTC 
KSRTC 
Private Bus 
Auto 
2W 
Car 
Walk 
Majority of people accessing bus services at 
major junctions are already making transfers
Mitigating Concern 1: Transfers 
A. “People do not want/like to make transfers” 
The main complaint about making transfers is that the 
waiting time for the next bus is high 
However, in this case, we will be significantly improving 
frequencies, resulting in low waiting times for connecting 
services
Mitigating Concern 1: Transfers 
A. “People do not want/like to make transfers” 
The second major complaint about making transfers is that 
the physical process of making transfers is uncomfortable 
However this can be mitigated by providing high-quality yet 
small footprint, single-facility transfer hubs at major junctions
Mitigating Concern 1: Transfers 
B. “People making direct trips will be forced to transfer” 
Chandapura – Morning 
(n=11,614) 
29% 
25% 
46% 
Direct Trips Feeder Trips Trunk Trips 
Chandapura – Evening 
(n=7,243) 
27% 
46% 
27% 
Direct Trips Trunk Trips Feeder Trips 
Majority already treat existing bus service like a trunk-and-feeder 
system, making 
Feeder Trips (i.e. village to major junction only and vice versa) 
or 
Trunk Trips (i.e. major junction to city centre and vice versa)
Mitigating Concern 2: Fares 
A. “People will have to pay a transfer penalty” 
Attibele Direct Trips – Ticket Type 
60% 
40% 
(n=1,374) 
Bus Pass 
Ticket 
Transfer Penalty is only a concern for those making direct trips 
– a minority of total bus passengers 
Moreover, the majority of those making direct trips use bus 
passes and will face no transfer penalty
Mitigating Concern 2: Fares 
A. “People will have to pay a transfer penalty” 
And developing an integrated fare system is 
an established goal which is already under 
implementation in Bangalore
Mitigating Concern 3: User Education 
A. “People will not understand the new system” 
Unified Branding 
Unified and consistent branding will make the 
system easier to understand and use
Mitigating Concern 3: User Education 
A. “Explaining the new system will be difficult” 
User Information at Bus Stops 
Simplified network structure allows for the 
creation of legible user information systems
Mitigating Concern 3: User Education 
A. “Explaining the new system will be difficult” 
User education is, however, a significant challenge 
Appropriate resources must be deployed for intensive 
marketing, communications and outreach efforts 
In the end, the benefits (improvements in service quality) far 
outweigh the short-term costs of user education
Mitigating Concerns: Summary 
The ultimate aim is to make the experience of transferring 
akin to that of a rail-based metro system 
No one complains about making transfer in a metro system 
because: 
-The next train arrives quickly 
-The physical environment while waiting is comfortable 
-High quality user information makes the system easy to 
understand and navigate
Implementing the 
BIG Bus Network in 
Bangalore: 
Progress and Impacts
Implementation Progress 
Old 
Airport 
Road 
Sarjapur 
Road 
Hosur 
Banerghatta Road 
Road 
Kanakpura 
Road 
Old 
Madras 
Road 
Tumkur 
Road 
Magadi 
Road 
Mysore 
Road 
Bellary 
Road 
Tannery Road 
Hennur 
Road 
The BIG Bus Network 
has already been 
implemented 
on 
3 of 12 major arterial 
corridors in the city. 
serving 
~1,50,000 people daily
BIG Bus Network launched by CM Siddaramiah
BigTrunk Bus on Road
Impact: Performance Evaluation Survey 
Conducted in August, 2014 
Sample Size: 2,500 
Population: 
Existing BigTrunk & Feeder service users across all 3 
corridors
BigTrunk: How did you make this trip before? 
Other Bus, 38% 
Car, 9% 
No Response, 11% More than one 
Didn’t make this 
2W, 18% 
trip, 1% 
Other, 0% 
Van, 9% 
Auto, 14% 
response, 1% 
BigTrunk services are very successful in 
attracting users to Public Transport
BigTrunk: Why did you switch? 
Better Frequency, 
41% 
Other, 0% 
Cheaper, 15% 
Good Bus Quality, 
25% 
Easier to 
understand new 
service, 15% 
No Response, 3% More than one 
response, 1% 
High frequency and ease of understanding 
new service are major attracting factors
BigTrunk: Would you recommend this service? 
Yes, 68% 
Maybe, 17% 
No, 14% 
No Response, 
1% 
More than one 
response, 0% 
Majority of users would recommend the 
service to people they know
BigTrunk: Would you support expansion? 
Maybe, 23% 
No Response, 1% 
More than one 
response, 0% 
No, 13% Yes, 63% 
Majority of users support expansion
Feeder: How did you make this trip before? 
Other Bus, 55% 
Other, 0% Didn’t make 
Auto, 15% 
Car, 
7% 
2W, 16% 
Van, 2% 
this trip, 0% 
No Response, 4% More than one 
response, 1% 
Feeder services are also very successful in 
attracting non-bus users, though not as much 
as BigTrunk
Feeder: Why did you switch? 
Other, 0% No Response, 4% More than one 
Better Frequency, 
34% 
Good Bus Quality, 
20% 
Cheaper, 7% 
Easier to 
understand new 
service, 35% 
response, 0% 
High frequency and ease of understanding 
new service are, again, major attracting 
factors
Feeder: Would you recommend this service? 
No Response, 2% More than one 
Yes, 65% 
Maybe, 21% 
No, 12% 
response, 0% 
Majority of users would recommend the 
service to people they know
Feeder: Would you support expansion? 
No Response, 2% More than one 
Yes, 48% 
No, 4% 
Maybe, 46% 
response, 0% 
Majority of users support expansion
Feeder: Do you know about Samparka Sarige? 
(Potential users waiting at major junctions) 
yes, 57% 
no, 42% 
none, 1% 
more than 1, 0% 
However, there is a significant lack of 
awareness of the feeder service amongst 
existing bus users
Next Steps for BIG Bus Network 
Expand Structural Services: 
BigTrunk (on additional Arterial Corridors) 
BigCircle (on ORR) 
BigConnect (connecting Arterial Corridors beyond ORR) 
BigCity (High demand inner city routes) 
Complete implementation of complimentary initiatives 
(i.e. Integrated Fares + Transfer Facilities) 
before full scale expansion of Feeder Services
Conclusions 
The Frequent Bus Network promises a step-change 
improvement in the quality of urban bus services, 
particularly for large cities 
In principle this concept can be extended to any city with a 
well defined road network with a hierarchy of public 
transport demand 
There are some significant challenges, but the ‘how’ of 
overcoming these is known, and the long-term benefits 
significantly outweigh the short term costs
Thank You!

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Webinar - The Frequent Bus Network

  • 1. The Frequent Bus Network: A Model for Improving Bus Services in Indian Cities A Webinar via The Hub Ashwin Prabhu Manager – Urban Transport , EMBARQ India Email: aprabhu@embarqindia.org
  • 2. The Frequent Bus Network: Rationale & Concept
  • 3. The Direct Services Model This is the model for bus services operated by all Indian Cities: Every location in the city is provided with a direct route to the city centre and other major hubs + Any pair of locations with a certain level of demand is provided with a direct route between them
  • 4. Issue 1: Exponential Growth in Number of Routes 3 Hubs 3 Locations 9 Routes
  • 5. Issue 1: Exponential Growth in Number of Routes 3 Hubs 6 Destinations 18 Routes
  • 6. Issue 1: Exponential Growth in Number of Routes 3 Hubs 9 Destinations 27 Routes
  • 7.
  • 8.
  • 9.
  • 10. As a result of the direct services model, 4 routes are required to provide services along a single, relatively short stretch of road
  • 11. Issue 2: Low Frequencies on Individual Routes As fiscal capacities are generally constrained, fleet size cannot keep up with the exponential increase in number of routes Eventually, this system ends up with a large number of routes with only 1 or 2 buses If these routes are long – as routes serving the city periphery tend to be – this results in long wait times on individual routes
  • 12. Route 356-B KR Market To Karpur Route Length: 34.3 KM Buses: 1 Wait Time till next bus: ~120 Min
  • 13. Issue 3: Excessive Complexity for Users Large number of routes increases system complexity and acts as a barrier to entry for new users System complexity means developing user information systems - like maps at bus stops - becomes very difficult
  • 14. Issue 3: Excessive Complexity for Users An example of a complicated bus route map: Tracing a single bus route is difficult and confusing In the direct services model with excessive routes, this is the only type of map possible
  • 15. The Alternative: An example of a simpler, structural bus route map Plotting journey route is much simpler This is only possible with a rationalised, transfer based network
  • 16. The Frequent Bus Network Direct Services Integrated Services
  • 17. The Frequent Bus Network Principle #1: Individual Routes along Major Roads are rationalised into a small number of Very High Frequency Routes
  • 18. The Frequent Bus Network Principle #2: Travel Patterns that require moving beyond the major road are served by routes connecting to the Frequent Bus Network at interchange points
  • 19. The Frequent Bus Network Principle # 3: Specific Travel Patterns are served not by direct routes, but by a collection of ‘direction-oriented’ services connected by transfers
  • 20. Benefits of The Frequent Bus Network Improves: System Simplicity fewer routes, easier to navigate Quality of Service more buses per route, higher frequency System Capacity higher frequency on specific ‘links’ Flexibility easier to match supply to demand
  • 21. Implementing The Frequent Bus Network in Bangalore (BMTC)
  • 22. The Frequent Bus Network in Bangalore BMTC is implementing Two Major Route & Network Structure Reforms: 1. The BIG Bus Network 2. Feeder Services for Peripheral Destinations
  • 23. 1. BIG Bus Network The BIG Bus Network is a Connective Grid of High Frequency, Direction-Oriented services along Major Roads BIG = Bangalore Integrated Grid
  • 24. 1. BIG Bus Network
  • 25. 1. BIG Bus Network
  • 26. 1. BIG Bus Network
  • 27. 1. BIG Bus Network
  • 28. 1. BIG Bus Network – Full Network
  • 29. 2. Feeder Services for Peripheral Destinations Peripheral Destinations - which lie beyond ORR and off arterial roads - will be served with high frequency feeder services connecting them to the main road
  • 30. 2. Feeder Services for Peripheral Destinations
  • 31. 2. Feeder Services for Peripheral Destinations
  • 32. BIG Bus Network + Feeders: An Example
  • 33. BIG Bus Network + Feeders: An Example
  • 34. BIG Bus Network + Feeders: An Example
  • 35. An Example: Hosur Road Corridor
  • 36. Hosur Road Corridor Existing Services: From City Centre to Electronics City and Beyond 63 Routes 262 Buses
  • 37. BIG Bus Network + Feeders: Hosur Road
  • 38. Hosur Road Corridor BigTrunk BigConnect Feeder
  • 39. Routes existing proposed Trunk Service Direct Service TOTAL BigTrunk 6 BigConnect 3 Feeder Services 21 30 15 48 63 52.4% reduction in number of routes while maintaining same geographic service coverage
  • 40. Improving Service Quality (1) – Wait Times Shorter length of feeder routes means that waiting times away from the main road are reduced However, there is an additional component of waiting time now: waiting for the trunk service But the trunk service is run at a very high frequency (~3 min) So the reduction in wait time is still very significant
  • 41. Existing Service Route 356-B KR Market To Karpur Route Length: 34.3 KM Buses: 1 Wait Time till next bus: ~120 Min
  • 42. Proposed Service Feeder Route: Route Length: 10.1 KM Round Trip Time: 72 Min Average Wait: 36 Min BigTrunk Route: Average Wait: 3 Min Total Wait Time: 39 Min d
  • 43. Improving Service Quality – Wait Times existing proposed TRUNK FEEDER TOTAL 0 120 120 3 36 39 wait time 67.5% reduction in wait time for bus service
  • 44. Improving Service Quality – Wait Times For all bus stops in the proposed system: Waiting times reduce by an average of 56%* *weighted by passenger volume
  • 45. Fleet Requirement existing proposed Trunk Service Direct Service TOTAL BigTrunk 187 BigConnect 35 Feeder Services 40 262 167 95 262 Service Quality improvements are achieved without any additional fleet requirement
  • 46. Challenges in Implementing The Frequent Bus Network
  • 47. Will this work? Potential Concerns 3 Major Concerns 1. Transfers: A. “People do not want/like to make transfers” B. “People making direct trips will be forced to transfer” 2. Fares A. “People will have to pay a transfer penalty” 3. User Education A. “People will not understand the new system”
  • 48. Mitigating Concern 1: Transfers A. “People do not want/like to make transfers” Bus Stop Access Mode - Chandapura 53% 4% 4% 10% 4% 12% 13% [n=1650] BMTC KSRTC Private Bus Auto 2W Car Walk Majority of people accessing bus services at major junctions are already making transfers
  • 49. Mitigating Concern 1: Transfers A. “People do not want/like to make transfers” The main complaint about making transfers is that the waiting time for the next bus is high However, in this case, we will be significantly improving frequencies, resulting in low waiting times for connecting services
  • 50. Mitigating Concern 1: Transfers A. “People do not want/like to make transfers” The second major complaint about making transfers is that the physical process of making transfers is uncomfortable However this can be mitigated by providing high-quality yet small footprint, single-facility transfer hubs at major junctions
  • 51. Mitigating Concern 1: Transfers B. “People making direct trips will be forced to transfer” Chandapura – Morning (n=11,614) 29% 25% 46% Direct Trips Feeder Trips Trunk Trips Chandapura – Evening (n=7,243) 27% 46% 27% Direct Trips Trunk Trips Feeder Trips Majority already treat existing bus service like a trunk-and-feeder system, making Feeder Trips (i.e. village to major junction only and vice versa) or Trunk Trips (i.e. major junction to city centre and vice versa)
  • 52. Mitigating Concern 2: Fares A. “People will have to pay a transfer penalty” Attibele Direct Trips – Ticket Type 60% 40% (n=1,374) Bus Pass Ticket Transfer Penalty is only a concern for those making direct trips – a minority of total bus passengers Moreover, the majority of those making direct trips use bus passes and will face no transfer penalty
  • 53. Mitigating Concern 2: Fares A. “People will have to pay a transfer penalty” And developing an integrated fare system is an established goal which is already under implementation in Bangalore
  • 54. Mitigating Concern 3: User Education A. “People will not understand the new system” Unified Branding Unified and consistent branding will make the system easier to understand and use
  • 55. Mitigating Concern 3: User Education A. “Explaining the new system will be difficult” User Information at Bus Stops Simplified network structure allows for the creation of legible user information systems
  • 56. Mitigating Concern 3: User Education A. “Explaining the new system will be difficult” User education is, however, a significant challenge Appropriate resources must be deployed for intensive marketing, communications and outreach efforts In the end, the benefits (improvements in service quality) far outweigh the short-term costs of user education
  • 57. Mitigating Concerns: Summary The ultimate aim is to make the experience of transferring akin to that of a rail-based metro system No one complains about making transfer in a metro system because: -The next train arrives quickly -The physical environment while waiting is comfortable -High quality user information makes the system easy to understand and navigate
  • 58. Implementing the BIG Bus Network in Bangalore: Progress and Impacts
  • 59. Implementation Progress Old Airport Road Sarjapur Road Hosur Banerghatta Road Road Kanakpura Road Old Madras Road Tumkur Road Magadi Road Mysore Road Bellary Road Tannery Road Hennur Road The BIG Bus Network has already been implemented on 3 of 12 major arterial corridors in the city. serving ~1,50,000 people daily
  • 60. BIG Bus Network launched by CM Siddaramiah
  • 62. Impact: Performance Evaluation Survey Conducted in August, 2014 Sample Size: 2,500 Population: Existing BigTrunk & Feeder service users across all 3 corridors
  • 63. BigTrunk: How did you make this trip before? Other Bus, 38% Car, 9% No Response, 11% More than one Didn’t make this 2W, 18% trip, 1% Other, 0% Van, 9% Auto, 14% response, 1% BigTrunk services are very successful in attracting users to Public Transport
  • 64. BigTrunk: Why did you switch? Better Frequency, 41% Other, 0% Cheaper, 15% Good Bus Quality, 25% Easier to understand new service, 15% No Response, 3% More than one response, 1% High frequency and ease of understanding new service are major attracting factors
  • 65. BigTrunk: Would you recommend this service? Yes, 68% Maybe, 17% No, 14% No Response, 1% More than one response, 0% Majority of users would recommend the service to people they know
  • 66. BigTrunk: Would you support expansion? Maybe, 23% No Response, 1% More than one response, 0% No, 13% Yes, 63% Majority of users support expansion
  • 67. Feeder: How did you make this trip before? Other Bus, 55% Other, 0% Didn’t make Auto, 15% Car, 7% 2W, 16% Van, 2% this trip, 0% No Response, 4% More than one response, 1% Feeder services are also very successful in attracting non-bus users, though not as much as BigTrunk
  • 68. Feeder: Why did you switch? Other, 0% No Response, 4% More than one Better Frequency, 34% Good Bus Quality, 20% Cheaper, 7% Easier to understand new service, 35% response, 0% High frequency and ease of understanding new service are, again, major attracting factors
  • 69. Feeder: Would you recommend this service? No Response, 2% More than one Yes, 65% Maybe, 21% No, 12% response, 0% Majority of users would recommend the service to people they know
  • 70. Feeder: Would you support expansion? No Response, 2% More than one Yes, 48% No, 4% Maybe, 46% response, 0% Majority of users support expansion
  • 71. Feeder: Do you know about Samparka Sarige? (Potential users waiting at major junctions) yes, 57% no, 42% none, 1% more than 1, 0% However, there is a significant lack of awareness of the feeder service amongst existing bus users
  • 72. Next Steps for BIG Bus Network Expand Structural Services: BigTrunk (on additional Arterial Corridors) BigCircle (on ORR) BigConnect (connecting Arterial Corridors beyond ORR) BigCity (High demand inner city routes) Complete implementation of complimentary initiatives (i.e. Integrated Fares + Transfer Facilities) before full scale expansion of Feeder Services
  • 73. Conclusions The Frequent Bus Network promises a step-change improvement in the quality of urban bus services, particularly for large cities In principle this concept can be extended to any city with a well defined road network with a hierarchy of public transport demand There are some significant challenges, but the ‘how’ of overcoming these is known, and the long-term benefits significantly outweigh the short term costs