IndoUS workshop on Urban Freight Transport A Global

Indo-US workshop on Urban Freight Transport: A Global Perspective Presentation on Urban Freight Transport – Mumbai Metropolitan Region K Vijayalakshmi, Addl. Chief (Metro, Mono. UMMTA) Transport & Communications Division, Mumbai Metropolitan Region Development Authority 9 th April, 2014

Structure of Presentation l Study Area – MMR and Traffic & Transportation Survey Database l Internal Passenger Travel Demand l Internal Goods Travel Demand l External Travel Demand: Outer Cordon Locations l Travel Demand Modelling and Transport Networks l External Travel Demand Models l Proposed Terminals l Preliminary Cost Estimates and Funding Sources l Steps taken so far….

Study Area and Traffic & Transportation Data Base

Map of India District Map of Maharashtra Map of MMR

Mumbai Metropolitan Region (MMR) Vasai-Virar Area 4355 sq. km. Population 20. 8 million (2005) Districts in MMR 1. 2. 3. 4. Mumbai Suburban Thane Raigad Corporations in MMR 1. 2. 3. 4. 5. 6. 7. 8. Greater Mumbai Thane Navi Mumbai Ulhas Nagar Kalyan-Dombivali Mira Bhayandar Bhiwandi- Nizampur Vasai-Virar Municipal Councils in MMR 1. 2. 3. 4. 5. 6. 7. 8. 9. Ambernath Kulgaon-Badlapur Alibaug Pen Uran Matheran Hill Station Panvel Karjat Khopoli Villages < 1000 Urbanisation 94% Urban Population 6% Rural Population Thane Dist. Bhiwandi Mira-Bhayander Suburban Dist. Thane Kalyan Ulhasnagar Navi Mumbai Ambernath Badlapur Panvel Uran Raigad Dist. Matheran Karjat Khopoli Pen Alibag

Current Travel Scenario in MMR

Surveys/ Studies Conducted No. Primary Survey Extent 1 Home Interview Survey (HIS) 66, 000 Households 2 Classified Volume count and OD Survey at Outer Cordon Locations 24 Hr. , 9 Locations 3 Classified Volume count and OD Survey at Sub-regional cordons 24 Hr. , 20 Locations 4 Classified Volume count at Inner Cordon Locations 16/24 Hr. , 33 Locations (OD Survey at 3 Loc. ) 5 Screen Line Points 16 Hr. , 3 Locations 6 Mid-Block Locations 16 Hr. , 11 Locations 7 Level Crossing Locations 16 Hr. , 5 Locations 8 Sub-urban Rail Passenger Surveys 6. 17% 9 Sub-urban Rail Passenger Surveys, Alighting Survey: Stations 16% 10 Operational Characteristics of Bus and Rail Transport Networks 5700 Bus Routes and 1767 Train Services 11 IPT (Auto and Taxi) Surveys 50 Locations 12 Bus Terminal Surveys 13 Bus Terminals 13 Airport Terminal Surveys 2000 air passengers 14 Goods Terminal Surveys 20 Goods Terminals 15 Speed-Flow Studies 16 Carriageway Types 16 Journey Speed and Delay Studies 550 Kms 17 Network Inventory 2, 300 kms. 18 Pedestrian Surveys 50 Locations 19 Parking Surveys 50 Stretches 20 Workplace Based Surveys 4000 respondents

Major Goods Terminals in MMR

Classification of Goods Terminals Total Locations • CWC Terminals 0, 1, 2 • CWC warehouses/FCI Godowns 4, 13, 14, 28, 34, 38, 40, 41, 42 • Large whole/FCI Godowns 5, 6, 7, 12, 16, 19, 20, 21, 25, 26, 27, 29, 30 31, 32, 35, 36, 37, 39, 43 • Truck Terminals 8, 17, 24 • Oil Refineries 15, 18 • Container Depots 3, 9, 10, 23, 33 • Ports 11, 12 Locations for Survey 3 …. (2) 9 …. (4) 20 …. (5) 3 …. . (3) 2 …. . (1) 5 …. . (3) 2 …. . (2) Total 44 (20)

Goods Terminal Survey Locations • CWC Terminals 0, 1, 2 – Cotton Green Railway Goods Yard & FCI Godowns – MAFCO, Turbhe • CWC warehouses/FCI Godowns 4, 13, 14, 28, 34, 38, 40, 41, 42 – Reay Road, FCI – Mulund, FCI – Goregaon, FCI – Mahesh Industrial Estate, Bhyander 3 …. (2) 9 …. (4) • Large whole/FCI Godowns 5, 6, 7, 12, 16, 19, 20, 21, 25, 26, 27, 29, 30, 31, 32, 35, 36, 37, 39, 43 20 …. (5) – APMC Vashi – FCI Godown, Borivali – Mahape Industrial Estate, Navi Mumbai – Wagle Estate, Thane – Kalyan-Bhiwandi Industrial estate • Truck Terminals 8, 17, 24 – Vashi Truck Terminal – Wadala Truck terminal – Panvel Truck terminal Oil Refineries 15, 18 – Sewree Oil Depot Container Depots 3, 9, 10, 23, 33 – Wadi Bunder – Dronagiri Container terminal – Mulund Ports 11, 12 • • • 3 …. . (3) 2 …. . (1) 5 …. . (3) 2 …. . (2) Total 44 (20)

Internal Goods Vehicle Travel From ICs, RSI Analysis I-I: Internal to Internal From Cordon Survey Analysis E-I: External to Internal I-E: Internal to External E-E: External to External Demand Matrices I-I I-E E-I E-E

Inner Cordons Sub-regional Cordons

Daily Internal Goods Vehicle Travel Component Veh. PCUs I-I 62, 645 1, 72, 150 60% 59% I-E 18, 886 55, 620 18% 19% E-I 17, 076 49, 866 16% 17% E-E 5, 105 15, 453 5% 5% 100% Total 1, 03, 712 2, 93, 088

Daily Internal Goods Vehicle Travel Estimated Goods Vehicle Travel from previous Studies Sl. No. WSA, 1961 (Vehicle) CRRI, 1983 (Vehicle) MMPG, 1996 (Vehicle) WFSL, 2005 (PCUs) CTS Study (PCUs) Base Year 1961 1979 1996 2005 Study Area BMR MCGM MMR Internal 71, 000 72, 315 1, 72, 152 External 10, 000 54, 428 1, 20, 938 81, 000 1, 26, 743 Total 63, 000 2, 33, 000 2, 93, 088

External Travel Demand: Outer Cordon Locations Traffic Survey Locations • OC 1: Near Tansa River, NH 8 • OC 2: Near Ambadi Naka, SH 35 • OC 3: Near Kasna Bridge, NH 3 • OC 4: Goveli Gaon, MSH 2 • OC 5: Near Ratholi, SH 43 • OC 6: Near Karjat Jn. , SH 38 • OC 7: Near Khopoli, NH 4 • OC 8: Near Toll Plaza, MPE • OC 9: Near Naygaon, NH 17

7400 6900 SH 35 26800 27200 To Wada 2 3 NH 11400 7600 k 3 ashi N All Traffic Figures are in PCUs/Day Total Traffic: To 4 Thane Greater Mumbai Kalyan Dombivali 5 SH 43 800 900 SH 38 ba d Navi Mumbai 8 To • 4 NH E ne MP Pu To Uran 6 7 NH 1 7 00 0 89210 1 e un 00 129600 11 00 191600 17 P To 9 a Go To Alibagh 1, 82, 000 PCUs/day 300 To Murbad Panvel 97, 000 Vehicles/day 5100 4900 MSH 2 M ur Virar To Ahmedabad NH 8 1 Traffic Survey Analysis: Outer Cordon Locations Major Corridors: Ahmedabad-Pune

7. 79% SH 35 13. 94% To Wada Virar To Ahmedabad NH 8 1 Location Wise Contribution of Passenger Vehicles: Outer Cordon Locations 2 3 NH Total Daily Traffic: 6. 75% k 54, 882 Vehicles 3 ashi N To 4 Thane Greater Mumbai Kalyan Dombivali 59, 904 PCUs 9. 59% MSH 2 5 SH 43 0. 55% Major Corridors: To Murbad • Pune Navi Mumbai 6 d ba Panvel • Goa • Ahmedabad • Murbad To MP M ur SH 38 1. 05% E Uran 4 NH e 7 7 NH 1 n Pu To 8 4% 1 8. ne 49% 0% 7 20. 31. Pu To 9 oa G To Alibagh All Figures are expressed as % of total passenger vehicles entering and exiting from the MMR

7. 57% SH 35 37. 61% To Wada Virar To Ahmedabad NH 8 1 Location Wise Contribution of Freight % Vehicles: Outer Cordon Locations 2 3 NH Total Daily Traffic: 13. 3% 42, 118 Vehicles k 3 ashi N 1, 22, 097 PCUs To 4 Thane Greater Mumbai Kalyan Dombivali 3. 43% MSH 2 5 SH 43 0. 15% To Murbad • Ahmedabad Navi Mumbai 6 d ba SH 38 0. 90% • Pune • Nashik • Goa To MP M ur Panvel Major Corridors: E Uran 4 NH 7 7 NH 1 ne Pu To 8 % 34 . 13 ne Pu To 9 a Go To Alibagh All Figures are expressed as % of total freight vehicles entering and exiting from the MMR

F&V BM SH 35 C&F FG Legend: To Wada 2 3 NH Textiles F&V k 3 ashi N 4 Thane Greater Mumbai FG: Food grains Kalyan Dombivali 5 SH 43 BM BM To Murbad SH 38 ba d 8 To 7 7 NH 1 • Chemicals & Fertilizers Outgoing • Food Grains, Fruits & Vegetables Incoming • Building Materials – In and Out 4 NH E ne MP Pu To Uran V F& &V F e un P To BMM B F C&G F a Go To 9 BM: Building Materials FG FG Navi Mumbai 6 F&V: Fruits and vegetables BM FG MSH 2 Panvel Alibagh C&F: Chemicals & Fertilizers To M ur Virar To Ahmedabad NH 8 1 Major Commodity Type at OC Locations

Average Traffic Composition Tractor 0. 07% Tractor Trolly 0. 05% MAV 3. 96% Cycle 0. 85% Animal Drawn 0. 07% 3 -Axle Truck 7. 13% Others 0. 04% Two Wheeler 10. 87% Auto Rickshaw (3 W) 2. 57% Maxi Cab (3 W) 3. 15% 2 -Axle Truck 23. 88% Taxi 0. 70% LCV 8. 40% Other Std. Bus BEST (DD) 2. 75% 0. 00% BEST/Govt. Bus (SD) 3. 84% • Car & Two wheeler: 42% • Bus: 6. 6% • Goods vehicles: 43. 5% Mini Bus 0. 43% Car/Jeep (exc. Taxi) 31. 26%

Traffic Movement at Outer Cordon 17, 076 Veh. /day 43, 403 Veh. /day MMR (45. 86%) MMR (41. 58%) 43, 883 Veh. /day 18, 887 Veh. /day (46. 37) (45. 99%) 7, 360 Veh. /day 5, 106 Veh. /day (7. 78%) (12. 43%) Total Traffic Goods Traffic

Average Pay Load (Tonnes) Location LCV 2 Axle Truck 3 Axle Truck MAVs OC 1 (NH 8) 4. 07 6. 96 9. 87 15. 94 OC 2 (SH 35) 2. 47 7. 63 10. 47 22. 00 OC 3 (NH 3) 3. 12 8. 44 11. 79 15. 15 OC 4 (MSH 2) 5. 76 5. 97 16. 63 18. 05 OC 5 (SH 43) 0. 96 5. 01 --- OC 6 (SH 38) 2. 55 6. 65 22. 00 --- OC 7 (NH 4) 3. 68 6. 30 10. 92 13. 65 OC 8 (MPE) 7. 66 9. 65 12. 38 17. 00 OC 9 (NH 17) 3. 09 5. 99 7. 82 11. 37 3. 71 6. 96 12. 73 16. 16 Average

Travel Demand Modelling and Transport Networks

INPUTS Estimating Travel Demand MODELS OUTPUTS Jobs Personal Income Region Growth India and Mumbai Economics Economic Forecasts Forecast of Analysis Zones Base Year Residential and Employment Location Land use Allocation House holds, Service Emp locations Vehicle Availability Model House holds by vehicle available Trip Gen. Models Trips by Purpose Trip Distribution Model Trip Tables by Purpose Traffic Analysis Zones Zonal Data Highway Network data Transit Network Zonal cost and time Data Mode Choice Model Time of Day Factors Trip Assignment Model Trip Tables by Purpose and modes Highway and Transit Trip Tables by Time Periods Highway and Transit volumes and travel times

Road Network Inventories Roadside Interview Surveys Household Interview Surveys Transit Passenger Surveys Transit Network Surveys Household Category Sub-Models Highway Networks Transit Networks Trip End Model Trip Distribution Model Modal Choice Model Goods Vehicle Matrices Highway Matrices External Trip Matrices Matrix Manipulation NMT Matrices Externa l Trip Model Transit Matrices Traffic Assignment Model No Convergenc e Yes Model Outputs No Travel Demand Modelling Framework

National Urban Transport Policy • Encourage public transport Encourage greater use of public transport enabling the establishment of quality focused multi modal public transport systems that are well Integrated providing seamless travel across modes • Integrate Land use with transport Encouraging integrated land use and transportation planning so the travel distances are minimized and access to livelihoods education and other social needs • Transport to guide development Incorporating urban transportation as an important parameter at the urban planning stage rather than being a consequential requirement. • Provide equitable allocation of space Bringing about more equitable allocation of road space with people rather than vehicles as its main focus

Higher order nodes/ corridors/centres where offices are the predominant (but not exclusive) employment use. Higher density mixed use developments encouraged close to rail and Metro stations Predominantly “clean” industrial employment areas generally accommodating employment uses not compatible with higher density nodes or requiring significant land areas Potential greenfield development areas for predominantly residential uses in planned communities including related service uses and employment Concept for Development Intensification Focused on Transportation Corridors

Year 2016 2021 2031 Cumulative Length (km) Metro Sub-urban 208 237 318 237 450 248 Long Term (2031)Metro and Sub-urban Network Year Cumulative Length (km) 2016 982 2021 1229 2031 1739 Long Term (2031)Highway Network

Multi-Modal Corridors

Virar-Alibaug Multi-Modal Corridor (MMC) l MMC From Virar- Alibaug l Length of 140 km (Approx. ) l 4+4 lanes (other traffic including BRTS) +Service Roads l Metro (In middle of the Corridor) l Utility Corridor (Under ground) l Non Motorized Transport (Cycles) lane l Estimated Cost : INR 100 billion

Right of Way Requirements 100 100 80 80 100 100 100 80 100 100 LEGEND Metropolitan Regional Roads 100 ROW, 100 m The Right of Way (ROW) shown for each segment of the proposed Regional Road Network is the preferred ROW width. However , an absolute minimum width of 80 m is required. Finalisation of the ROW’s require, detailed feasibility studies specific to each corridor.

External Travel Demand

Demand Forecast: Horizon Year Demographic Data v. Decadal Population data from 1921 to 2001 was collected for various States outside Maharashtra, v. Decadal Population data from 1971 to 2001 was collected for the Taluks and Districts within Maharashtra from Census.

Demand Forecast: Horizon Year Economic Data Net State Domestic Product / Net District Domestic Product v NSDP and NDDP for the states and districts of Maharashtra was collected from Economic Survey of India for the financial years 2000 to 2004 (at constant prices 1993 -94). v The Compound Annual Growth Rate (CAGR) was calculated after compiling the data for the detailed zone level.

Zoning System Demand Forecast: Horizon Year

Demand Forecast: Horizon Year v. For the estimation of future flows in study area, MMR was considered as a single zone and the 27 external zones of detailed zoning system were considered. v. The zonal growth factors were estimated from the economic growth rate (NSDP / NDDP growth rate) in respective zones,

Growth Rate (%) Description 1 -MMR 3001 -Palghar B T P 3. 00 5. 90 11. 68 2. 55 4. 88 Description Growth Rate (%) B T P 3014 -Solapur, Osmanabad 0. 84 0. 16 1. 07 9. 70 3015 Buldana, Washim, Aurangabad, Jalna, Hingoli, Parbhani, Nanded, Latur, Beed, Ahmadnagar 2. 69 4. 06 8. 65 1. 72 7. 08 12. 00 3002 -Vada 1. 79 4. 88 8. 88 3016 -Akola, Amravathi, Nagpur, Gondia, Bhandara, Wardha, Chandrapur, Gadchiroli, Yavatmal 3003 -Shahapur 2. 18 4. 88 9. 29 3017 -Nandurbar, Dhule, Jalgaon, Nashik 2. 16 6. 19 11. 20 3004 -Murbad 1. 80 4. 88 8. 90 3051 -Gujrat 2. 03 5. 52 10. 07 3005 -Vikrumgad, Jawahar, Mokhadai 2. 25 4. 88 9. 37 3052 -Indore 3. 45 3. 02 7. 91 3006 -Talasari, Dahanu 2. 13 4. 88 9. 25 3053 -MP, Chattisgarh & Orissa 2. 04 3. 02 6. 43 3007 -Kholapur, Pen 2. 49 3. 42 7. 49 3054 -Delhi 4. 27 6. 21 13. 51 3008 -Sudhagad 1. 13 3. 42 6. 07 3055 -Haryana, Punjab, Rajasthan, Himachal Pradesh & JK 2. 01 4. 12 8. 00 3009 -Alibag, Murud 1. 38 3. 42 6. 33 3056 -UP, Bihar 1. 65 2. 95 5. 94 3010 -Roha 1. 95 3. 42 6. 93 3057 -Andhra Pradesh 1. 59 3. 92 7. 28 3011 -Mangaon, Tala, Shrivardhan, Mhasla, Mahad, Poladpur 1. 01 3. 42 5. 94 3058 -Karnakata, Kerala 1. 74 4. 58 8. 40 3012 -Satara, Ratnagiri, Sangli, Kolhapur, Sindhudurg 1. 51 4. 34 7. 80 3059 -Tamilnadu 1. 34 4. 67 8. 11 3013 -Pune 2. 78 3. 47 7. 88 3060 -WB, Assam, Meghalaya, Arunachal Pradesh & Mizoram 2. 05 4. 58 8. 72 B: Bus T: Truck P: Private Veh’s

Demand Forecast: Horizon Year: Goods Traffic Zone Base Horizon Trip Production Trip Attraction 2 94 76 397 330 3 553 515 2410 2314 5 448 409 1893 1771 7 619 569 2392 2257 9 1043 922 3967 3684 12 575 509 2383 1960 15 1281 1157 5314 4993 16 768 670 3160 2713 21 283 303 1111 1161 24 164 138 673 562 27 436 449 1921 1917 30 329 378 1441 1564

Demand Forecast: Horizon Year: Goods Traffic Zone Base Horizon Trip Production Trip Attraction 33 523 544 2196 2296 34 135 115 626 564 38 1063 1004 4678 4304 40 2321 2032 9434 8463 43 2918 2583 12158 10713 45 183 160 923 833 49 702 641 3076 2647 51 487 432 1981 1745 52 135 119 556 464 54 117 78 421 315 55 482 439 1664 1380 56 186 135 785 626 60 909 848 3970 3732 63 1956 1697 8924 7914 69 25 30 100 137 70 155 125 614 435 Total 18 887 17 076 79 168 71 794

GOODS-HORIZON SCALE: Max. Trips: 22844 11422 TRIPS=1. 0 Unit

Demand Forecast: Horizon Year: Bus Traffic Bus Movement Base % Horizon % Internal - External 3022 47% 5569 47% External - Internal 3338 52% 6145 52% External - External 119* 2% 147* 1% 6479* 100% 11861* 100% Total Note: * After duplication is Subtracted Base Horizon Trip Production Trip Attractions 3022 3338 5569 6145

Proposed Terminals v v 17 Inter-State/ Inter-City Bus Terminals 6 Inter-City rail Terminals 5 Major Truck Terminals and 10 Mini Truck Terminals 13 Passenger Water Transport (PWT) Terminals

Proposed Inter State Bus Terminals Vasai/ Virar Rural MMR 1. Bhiwandi !. 2 Nancy. !!. Borivli 2. 3. 4. !. Kalyan 3 Thane !. !. Greater Mumbai Sion Kurla !. Dadar !. Parel !. 1 !. Navi Mumbai/ CIDCO Panvel !. Mumbai Central 4 Pen/SEZ Alibag !. Rural MMR Near Wadala Truck Terminal, MCGM Near Mira-Bhayander Kalyan area Panvel area Existing Bus Terminals Proposed Inter State Bus Terminals (2005 -2008) Proposed Inter State Bus Terminals (2009 -2031)

Proposed Inter City Bus Terminals 6 Vasai/ Virar Rural MMR 1. 10 Bhiwandi !. 9 2. 8 3. Nancy !. Kalyan . !!. Borivli 4. 5. Thane !. !. 3 1 5 13 2 Greater Mumbai Sion Kurla !. Dadar !. Parel !. !. Navi Mumbai/ CIDCO 4 Panvel !. Mumbai Central !. Rural MMR 12 6. 7. 8. 9. 10. 11. 12. 13. Western Suburbs of MCGM: In between Bandra and Borivali Eastern suburbs of MCGM: In between Kurla and Mulund Western part of Thane Municipal Corporation area Nerul in NMMC Kalyan Dombivali Municipal Corporation area Vasai/ Virar area Pen-SEZ area Bhiwandi-Nizampur MC area Mira-Bhayandar MC area Navgarh-Manikpur Municipal Council area Alibagh Municpal Council area Karjat Municipal Council area Badlapur Municipal Council area Existing Bus Terminals 7 Pen/SEZ 11 Proposed Inter City Bus Terminals (2008 -16) Proposed Inter City Bus Terminals (2017 -21) Proposed Inter City Bus Terminals (2022 -31) Alibag Proposed Navi Mumbai Airport

Proposed Inter-City Rail Terminals 1 1. 2. 3. 5 2 4. 5. 3 4 6. Near Vasai Virar Near Kalyan Near Khandeshwar sub-urban railway station and retaining the Panvel as en-route station Intersection of MTHL Metro corridor and Belapur-Uran Railway Line Near Bhiwandi (Near Vasai Road-Diva Line) Near Jite on Panvel-Thal Railway Line Existing Inter-City Rail Terminals Proposed Inter-City Rail Terminals (2008 -2016) 6 Proposed Inter-City Rail Terminals (2017 -2021) Proposed Inter-City Rail Terminals (2022 -2031) Proposed Navi Mumbai Airport

Proposed Truck Terminals 1 Major Truck Terminals 1. 2. 5 3. 4. 5. Near boundary of MMR on NH-8 (Mumbai-Ahmedabad) Near boundary of MMR on Mumbai Pune Expressway Near JNPT/NMSEZ/MMSEZ Near the proposed international airport in Navi Mumbai On NH-3 (Mumbai-Nashik) 10 Mini Truck Terminals (One in each cluster except Island cluster) Proposed Major Truck Terminals (2008 -2016) 4 3 2 Proposed Major Truck Terminals (2017 -2021) Proposed Major Terminals (2022 -2031) Proposed Mini Truck Terminals (2008 -2031) Proposed Navi Mumbai Airport

Summary of Preliminary Cost Estimates Proposed Transport Networks Horizon Years 2031, 2021 and 2016 2008 - 2031 Component Length km 2008 - 2021 Cost Rs Crores Length km 2008 - 2016 Cost Rs Crores Length km Cost Rs Crores Metro System 450 1, 10, 095 316 82, 707 204 59, 623 Suburban Railway System 241 30, 978 231 28, 670 231 27, 920 1660 57, 412 1114 44, 844 836 31, 173 77 1, 670 111 2, 000 147 11, 079 Bus System 4, 280 2, 150 1, 104 Passenger Water Transport 480 480 Truck Terminals, Inter-Bus and Rail Terminals 3, 040 2, 038 1, 126 Highway System Highway Corridors with EBL 2, 07, 956 Total 2, 429 US $ 50. 72 Billion 1, 62, 890 1, 772 US $ 39. 73 Billion 1, 32, 504 1, 418 US $ 32. 32 Billion Note: 1. 2. 3. The cost estimates are @ 2005 -06 prices The metro system cost includes the cost of rolling stock The sub-urban railway system cost includes the cost of rolling stock for new lines, capacity enhancement of the to the existing suburban railway system

Funding Sources Sl. No. Transport System Estimated Total Cost (Rs. Crore) @ 2005 -06 Prices Inter Governmental Transfer (%) Development Charges (%) Borrowing (%) Private Investment (%) 1, 10, 095 15 25 0 60 Sub-Urban Railway System 30, 978 30 30 40 0 III Highway System 57, 412 25 25 30 20 IV Highway Corridors with Exclusive Bus Lanes (EBL) 1, 670 25 25 30 20 V Bus System 4, 280 25 25 30 20 VI Passenger Water Transport 480 12 12 16 60 VII Terminals 3, 040 21 21 28 30 2, 07, 956 ( US$ 43324 million) 20 28 12 40 I Metro System II Total Investment, Average % Funding Sources Potential Need for Re-allocation from Private to Development Charges Particularly for Metro Creation of Dedicated Infrastructure fund for MMR for implementation of Proposed Infrastructure Projects in MMR

Steps taken so far…. UMMTA established under Chairmanship of Chief Secretary; MMRDA has submitted proposals on Development Charges to Go. M; All the ULBs requested to include the proposed arterial roads and higher order highway corridors, metro corridors, sub-urban rail corridors, monorail corridors in the Development Plans for the reservation of Ro. W; All the ULBs (Central Railway, Western Railway directed reseve the land for respective terminals recommended by CTS.

Thank You For Queries: ummtaac@gmail. com