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THE DE-CARBONISATION ABILITY AND PRACTICALITIES OF A DOMESTIC INTERMODAL FREIGHT TRANSPORT NETWORK FOR SOUTH AFRICA Department of Industrial Engineering, Stellenbosch University Department of Logistics Management, Stellenbosch University Dr


  1. THE DE-CARBONISATION ABILITY AND PRACTICALITIES OF A DOMESTIC INTERMODAL FREIGHT TRANSPORT NETWORK FOR SOUTH AFRICA Department of Industrial Engineering, Stellenbosch University Department of Logistics Management, Stellenbosch University Dr Joubert van Eeden, Zane Simpson, Prof Jan Havenga

  2. Outline • Background • Purpose of study • Research Approach • Findings and Originality • Research Impact • Practical Impact • Q&A 2

  3. Background: South Africa’s freight demand is high Today Forecast for 2040 GDP • – South Africa $0.35 trillion – Europe $19.70 trillion – France/Germany $6.26 trillion Line haul tonne-km (billion) Road Rail Current 164 149 Optimal split 134 179 10 year target 167 200 Last mile tonne-km 132 billion • Also: • 8 billion in pipelines – 1 billion on conveyor belts –

  4. Background • Royal Academy of Engineering: IAPP funding • High density catchment areas lead to more efficient terminals • Connections between these areas can lead to more dense flows • Eight (8) student projects: – Intermodal Infrastructure choice (x1) – Determine Freight Demand (x 5) – Design Supply of service (x2)

  5. Purpose of study • An early feasibility test of an intermodal service in South Africa. • Testing the potential freight demand availability by: – Analysing origins and destinations, – Palletisable commodities – Between major cities. • Analyse relative distances between origins and destinations to gravity based freight intermodal terminals in major cities. • Analyse the supply side factors related to delivering such a service : – Infrastructure requirements and – Operational practicalities. • The decarbonisation impact of such a service will also be tested.

  6. Outline • Background • Purpose of study • Research Approach • Findings and Originality • Research Impact • Practical Impact • Q&A 6

  7. Research Approach • Identify origins and destinations for major freight flows deemed as palletisable commodities (six included), and • Interviews with typical freight owners within the relevant industry sectors to establish: – Operational requirements and – Key success criteria in terms of especially time and cost aspects. • Analyse the gravity based concentration points of these in each major city. • A service delivery plan was hypothesized to model the practicality of delivering the proposed service. • The output of this would be to identify the required infrastructure capacity and efficiencies to operate a service within the required boundaries.

  8. Research approach (…)

  9. Outline • Background • Purpose of study • Research Approach • Findings and Originality • Research Impact • Practical Impact • Q&A 9

  10. Findings and Originality • Preliminary findings indicate that: – Considerable palletisable corridor freight volumes are available. – Key transport mode decision criteria for freight owners currently is and will possibly remain a dependable transport time from origin to destination. – The proposed intermodal service will have to be responsive enough to match the current road delivery cycle times and make it a competitive service. • Thus network design for collection, modal transfer, rail transport, and delivery times will have to be planned fairly responsive in order to provide a comparable service.

  11. Project 1: Intermodal Infrastructure choice Intermoda dal L Loadi ding ng U Units: s: ISO c O container ers Swop B Body Semi mi-tra railers rs TelliB lliBox conta tainers Stackable Yes No No Yes Trimodal Yes Not for SSS Not for SSS Yes

  12. Project 1: Intermodal Infrastructure choice Categorised Criteria Shipper ers LP’s ’s Rec ecei eivers Local A Auth thoriti ties Societ ety • • • • • Public safety Good service level Flexibility Frequent Low accident • • • Low Frequent Low costs deliveries rates • • infrastructure availability High service Consistent • costs Freight safety levels deliveries • • Low damages Low costs

  13. Project 1: Intermodal Infrastructure choice Inte termodal s soluti tions Ad Hoc TOFC: RoadRailers Piggyback: Piggyback: Weighting Modalohr Decision Matrix Trailers Trucks COFC Shi hipp ppers Frequent Availability Good Freight Safety Low Freight Damage  Rows: Decision Criteria Rec ecei eive vers High Delivery Frequency Requirements Consistent Deliveries  LSP's Columns: Intermodal Solutions Highly Accessible Equipment Good Flexibility : Stakeholder R Infrequent Repairs  Scoring Low Maintenance Cost High Terminal Utilization Employee Satisfaction Criteria: S  Subject Matter Experts Aut Autho horities Low Public Roads Damage n Cr Good Use Existing Infrastructure Decision General Society  Weighting Low traffic & collisions De All S Sta takeholders Low Investment  Subject Matter Experts Low Environmental Impact Gen ener eral In Inter ermodal Nee eeds Easy Mode Integration Short Transfer Times Total Score %

  14. Project 2: Demand potential for intermodal processed foods

  15. Project 2: Processed Foods Industry partners Company X factories, storage Company X customers Company Y DCs facilities and national warehouses

  16. Project 2: Processed Foods Demand Results: “From-To” charts Factory – DC (retailer) [TEUs per week] Factory – Storage/Consolidation facility [TEUs per week]

  17. Project 2: Processed Foods Demand Results: “From-To” charts Storage/Consolidation facility – DC (retailer) [TEUs per week] DC (retailer)– DC (retailer)

  18. Project 3: Textile Results: Origin - Destination [TEUs per week]

  19. Project 4: Beverages – Superimposed, high-level view of the Long-Distance Alcoholic Beverage Industry [TEUs per week] (Source: Own compilation from DGB, Distell, KWV and Vinimark data)

  20. Project 5: Geographical automotive freight flow maps

  21. Project 7: Clustering Logic - Freight Proximities With respect to paired terminal locations With respect to terminal location Freight within 50km Freight within 100km Freight within 150km Terminal > 150km

  22. Project 7: Clustering Logic and Catchment areas Destination Origin Origin Destination Terminal Terminal Intermodal Road-Only

  23. Project 7: Clustering Logic - Freight Proximities Clustering Scenarios Clustering Scenarios Related volumes (Tonnes) Bloemfontein Deal Party BELCON Bayhead Tambo Springs 0 1000000 2000000 3000000 4000000 5000000 6000000 7000000 8000000 Domestic Imports/Exports TERMINAL Domestic Imports/Exports % of Domestic BELCON 2,650,419 824,911 31,1% Tambo Springs 3,305,437 928,890 28,1% Bayhead 2,816,547 1,249,653 44,4% Deal Party 703,217 168,932 24,0% Bloemfontein 255,690 35,882 14,0% Total 9,731,309 3,208,268 33,0%

  24. Project 7: Clustering Logic - Freight Proximities Clustering Scenarios Clustering Scenarios Related volumes (Tonnes) Bloemfontein Deal Party BELCON Bayhead Tambo Springs 0 1000000 2000000 3000000 4000000 5000000 6000000 7000000 8000000 Domestic Imports/Exports TERMINAL Domestic Imports/Exports % of Domestic BELCON 3,105,957 1,118,659 36,0% Tambo Springs 5,347,592 1,528,204 28,6% Bayhead 3,696,464 2,058,895 55,7% Deal Party 1,984,817 526,459 26,5% Bloemfontein 1,362,900 231,217 17,0% Total 15,497,731 5,463,434 35,3%

  25. Project 7: Clustering Logic - Freight Proximities Freight Proximities 1800000 1600000 35% 13% Freight Volums (Tons) 1400000 1200000 22% 1000000 49% 800000 Demand 41% 600000 82% Supply 57% 86% 53% 61% 74% 77% 90% 65% 70% 400000 67% 92% 94% 95% 97% 200000 97% 0 0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500 Distance from Paired Terminals (km) 4000000 40% 3500000 67% Freight Volumes (Tons) 3000000 2500000 2000000 Demand 1500000 Supply 78% 1000000 7% 88% 71% 96% 500000 81% 92% 89% 82% 90% 93% 97% 97% 98% 98% 96% 98% 98% 98% 0 0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 425 450 475 500 Distance from Terminal (km)

  26. Project 8: Train Scheduling – The weekly schedule outputs per corridor for Scenario 2 (Conservative market share)

  27. Project 8: Train Scheduling – Extract from schedule for loco 1 in scenario 2 (Conservative Market share)

  28. Project 8: Train Scheduling – Intermodal cost vs. Road only cost for a conservative market share in 2017 Intermodal Cost Direct Road-only Cost ZAR204,304,782.00 ZAR141,258,122.00 ZAR126,195,549.00 ZAR112,063,990.00 ZAR108,792,836.00 ZAR102,871,643.00 ZAR92,470,668.00 ZAR85,436,439.00 ZAR70,258,389.00 ZAR62,469,983.00 ZAR60,706,796.00 ZAR57,218,203.00 ZAR24,574,157.00 ZAR22,650,473.00 ZAR14,890,844.00 ZAR14,964,494.00 BA Y H E A D – T A MBO T A MBO S P RI NGS - BE LC ON - T A MBO T A MBO S P RI NGS - BE LC ON – BA Y H E A D BA Y H E A D - BE LC ON DE A L P A RT Y - T A MBO T A MBO S P RI NGS – DE A L S P RI NGS BA Y H E A D S P RI NGS BE LC ON S P RI NGS P A RT Y

  29. Outline • Background • Purpose of study • Research Approach • Findings and Originality • Research Impact • Practical Impact • Q&A 29

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