• My Profile
  • Setting
  • Welcome guest
  • Log in
  • Home
  • City
    • Ahmedabad
    • Bhubaneswar
    • Hubli-Dharwad
    • Kohima
    • Mysore
    • Surat
  • Dashboard
  • Maps
  • About us
  • Contact us
Benchmark
What is benchmark?
Benifits of benchmark
International case studies
SLBs (UT) India
Study process
Focus areas
SLB
Additional SLB
Selection
Methodology
Selection of road network
Selection of PT
Data
Management
Indicators For
Hill Cities
Data prerequisite
Methodology

HomeWhat is benchmarking?BenefitsInternational studySLBs(UT) India

Service Level benchmarking Software launched by Dr. Sudhir Krishna, IAS, Secretary- Ministry of Urban Development , Government of India on 4th Dec,2013

About Benchmarking

International case study

Study by The World Bank

Study by European Commission directorate
general for Energy and Transport

China Urban Sustainable Transport Research Centre

Thessaloniki, Greece - Benchmarking in PT

SLBs (Urban Transport) India

Study Process

SLBAdditional SLB

SLB Focus Areas

SLbs for Urban Transport-MoUD, Goverment Of India

PT
Public Transport Facilities
PF
Pedestrian Infrastructure
NMT
Non Motorized Transport Facility
NMT
ITS
Intelligent Transport System
ITS
Street Infrastructure Major Corridors
Road Safety
Parking
Parking Facility
Pollution
Pollution Levels
ILT
Land Use Transport Integration
FS
Financial Sustainability of Public Transport

Additional SLB Focus Areas

PT
Public Transport Facilities
PF
Pedestrian Infrastructure
NMT
Non Motorized Transport Facility
NMT
ITS
Intelligent Transport System
ITS
Street Infrastructure
Road Safety
Parking
Parking Facility
Pollution
Pollution Levels
ILT
Land Use Transport Integration
FS
Financial Sustainability of Public Transport
Intermediate Public Transport
IPTS

Study area delinationRoad network selectionSelection of PT

About Study area delination

Mark the Municipal limits of the city- (a)
Mark the village / town boundaries in Urban Development Authority area (b)
Digitize the contiguous built-up area adjoining the municipal limits (c)
Select the villages/ towns that correspond to step 1. (b & c= d)
Define the Study area i.e. Municipal area + Area selected in step 4 (a + d)

About Selection of road network

Digitization of roads
1
Classification of road into four levels
2
Arterial and Sub arterial and all roads where PT is plying
3

Level 1:
"ARTERIAL" Formulates the pattern or from of the City - Primary(Rapid) Transit network

  • All radials and rings that are 80% completeness
  • National Highway and State Highway
  • Orbitals roads that are long and that cut across the city.
  • Roads, which are helping in forming the shape of the city i.e. ring / radials / Grid form .
  • OR
  • Roads that have right of way
  • Category I cities: >=36m
  • Category II cities: >=24m
  • Small hill cities >= 9m

Level 2:
“SUBARTERIAL” Formulates patterns by further dissecting level 1 roads / Forms grids patterns - Primary Transit network

  • All radials and rings that are 50% complete
  • Radials which are having length less than half of the city
  • Long roads (roads having lengths of approximately half or three quarter length to the city size)
  • Major district roads & Other district roads
  • Roads, which are further dissecting level 1 roads and form grids or pattern
  • OR
  • Roads that have right of way
  • Category I cities: >=24m
  • Category II cities: >=15m
  • Small hill cities >= 7m

Level 3:
“Collector” – creates blocks

  • Roads that connect level 1 and level 2 roads
  • Roads, that further create smaller grids
  • OR
  • Roads that have right of way
  • Category I & II cities: >= 12 m
  • Small hill cities >=5.5 m

Level 4:
“Local roads” – Access to the residents

  • Roads that connects to residential units.
  • Roads that have right of way < 9m
  • In case of hill cities, as noted there are footsteps that connect to another level of road. Such roads are taken as level 4 roads.
Digitization of roads
1
Classification of road into four levels
2
Arterial and Sub arterial and all roads where PT is plying
3

Route selection for boarding and alighting survey

Identification of corridors with Headways<60mins

  • Less than 10 min- Survey all the routes
  • 10-20 minutes- 25% of the randomly selected routes
  • 20-60 min- 25% of the randomly selected routes

Data establishment

Primary data

The collection of primary data has been mainly through various surveys conducted to arrive at the value for calculating the level of service. The list of primary survey that was conducted in each of the 6 cities is as given below

# Service Level Benchmark Primary surveys
1 Public Transport facilities -Boarding Alighting Survey
-Level of Comfort in Public Transport
2 Pedestrian Infrastructure facilities -Road inventory survey
-Availability of footpaths
-Encroachment on foot paths
-Lux Survey
3 Non-Motorized Transport facilities -Bicycle parking survey at Interchanges
-Availability of cycle parking facility within 250m radius of at major bus stops/ Terminals
4 Usage of Integrated Transport System (ITS) facilities Not required
5 Travel speed along major corridors (Motorized & Public Transport) -Speed and Delay survey along major arterials
-Travel speed of personal vehicles and public transport along Arterial roads
6 Road Safety Not required
7 Availability of Parking facilities -Road inventory Survey
-Parking provision in the city
8 Pollution levels Not required
9 Land Use Transport Integration -Land use and Intensity of development survey along Proposed BRTS corridor
-Mixed land use zoning (% area under nonresidential use)
10 Financial Sustainability of Public Transport Not required

Secondary data

The secondary data collection is data directly collected from the various authorities to compute the indicators. Indicator computation and deriving Level of service mainly rely on the data collected through various agencies.


Hill CitiesData prerequisiteMethodology

Geographical constraints

Steep slopes, landslides, heterogeneity of climate, land use pattern scarcity of buildable land

Population size – Residents Vs Visitors

Size of these cities maybe smaller but the scale is much larger as it is driven by both residents and visitors

Functionality

Hill cities are smaller cities yet are of higher order function therefore standard are to be higher

View elevation map
View slope map

Base information required to be collected for all hill cities

  1. Contours
  2. Generate Elevation from Contours
  3. Generate Slopes from Elevation

Pedestrian facility survey

View additional SLB

Classification of footsteps

Step 1:
Identify steps that connect to PT stops @ 250 metre length either side of the stops – Survey 75%

Step 2:
Identify steps that connect level 1 & level 2 roads(connecting commercial and Institution and residential) - Survey 50%

Step 3:
Identify steps that provide connectivity to more than 10 households- survey 25%

x

Additional indicators

1. Surface quality of footstep ways

Computation Level of service
Total number of footstep ways (a) = 70
Number of paved footstep ways (b)
=50 = (b) / (a) =[ (50) / (70) ] = 71%
>90% 1
80-90% 2
70-80% 3
<70% 4

2. Presence of guard rails in footstep ways

Computation Level of service
Total number of footstep (a) = 70
Number of footstep with guard rails (b) = 0
=( (b) / (a))*100
=[ (0) / (70) ] *100 = 0 %
>75% 1
50-75% 2
25-50% 3
<25% 4

3. Quality of Footstep ways(comfort level in walking)

Computation Level of service
Number of footstep having height of riser (<150mm ) and width of thread (>300mm) (a) = 19
Total number of footsteps (surveyed) (b)= 70
=( (b) / (a))*100 =
=[(19) / (70) ] *100= 27 %
>90% 1
80-90% 2
70-80% 3
<70% 4

4. Presence of Footstep ways lights

Computation Level of service
Total number of footstep (a) = 70
Number of footstep with light (b) = 0
= ((b) / (a))*100
=[ (0) / (70) ]*100 = 0 %
>90% 1
80-90% 2
70-80% 3
<70% 4
An initiative of Ministry of Urban development,Government of India.
Center for Excellence(CoE) in Urban Transport. CEPT University, Ahmedabad.
Powered by VBSoft India Ltd.
Best view in IE9(above),FireFox 24,Chrome 30.