Urban Landuse and Transportation Planning - Prof. Debpratim Pandit

Urban Landuse and Transportation Planning - Prof. Debpratim Pandit

IIT Kharagpur July 2018 via YouTube Direct link

Lecture 52 : Urban Freight Planning: Demand Modelling

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53 of 61

Lecture 52 : Urban Freight Planning: Demand Modelling

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Urban Landuse and Transportation Planning - Prof. Debpratim Pandit

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  1. 1 Urban Landuse and transport planning by Prof. Debapratim Pandit
  2. 2 Lecture 01 : Introduction to Landuse transportation planning
  3. 3 Lecture 02 : Plans and planning process
  4. 4 Lecture 03 : Urban landuse planning
  5. 5 Lecture 04 : Comprehensive mobility plan
  6. 6 Lecture 05 : Landuse transport interaction
  7. 7 Lecture 06 : Theoretical foundations Part 1
  8. 8 Lecture 07 : Theoretical foundations Part 2
  9. 9 Lecture 08 : Modeling approaches
  10. 10 Lecture 09 : Existing integrated land use transportation models
  11. 11 Lecture 10 : Land use transportation model components and future challenges
  12. 12 Lecture 11 : Sampling Theory - 1
  13. 13 Lecture 12 : Sampling Theory - 2
  14. 14 Lecture 13 : Data and Surveys
  15. 15 Lecture 14 : Transport Planning surveys Part 1
  16. 16 Lecture 15 : Transport Planning surveys Part 2
  17. 17 Lecture 16 : Demographic Transition
  18. 18 Lecture 17 : Demographic Models 1
  19. 19 Lecture 18 : Demographic Models 2
  20. 20 Lecture 19 : Microsimulation and Population Synthesis 1
  21. 21 Lecture 20 : Microsimulation and Population Synthesis 2
  22. 22 Lecture 21 : Urban Growth Assessment
  23. 23 Lecture 22 : Urban land suitability assessment
  24. 24 Lecture 23 : Accessibility 1
  25. 25 Lecture 24 : Accessibility 2
  26. 26 Lecture 25 : Land Price Model
  27. 27 Lecture 26 : Discrete choice theory
  28. 28 Lecture 27 : Residential mobility and location choice 1
  29. 29 Lecture 28 : Residential mobility model using binary logistic regression
  30. 30 Lecture 29 : Residential mobility and location choice 2
  31. 31 Lecture 30 : Residential location choice model using multinomial logistic regression
  32. 32 Lecture 31 : Travel demand forecasting and Trip generation
  33. 33 Lecture 32 : Multiple linear regression
  34. 34 Lecture 33 : Trip Production and Attraction 1
  35. 35 Lecture 34 : Trip Production and Attraction 2
  36. 36 Lecture 35 : Trip distribution
  37. 37 Lecture 36 : Mode choice theory
  38. 38 Lecture 37 : Mode choice model
  39. 39 Lecture 38 : Hybrid mode choice model 1 (Factor Analysis)
  40. 40 Lecture 39 : Hybrid mode choice model 2 (Joint RP SP model)
  41. 41 Lecture 40 : Nested logit model
  42. 42 Lecture 41 : Introduction to Trip Assignment
  43. 43 Lecture 42 : Route Choice
  44. 44 Lecture 43 : Link assignment 1
  45. 45 Lecture 44 : Link assignment 2
  46. 46 Lecture 45 : Dynamic traffic assignment
  47. 47 Lecture 46 : Transportation Software
  48. 48 Lecture 47 : CUBE Overview
  49. 49 Lecture 48 : Travel demand modelling using CUBE and VISUM
  50. 50 Lecture 49 : Activity based modelling in CUBE
  51. 51 Lecture 50 : Vehicular emission and pollution modelling
  52. 52 Lecture 51 : Urban Freight Planning: Theory
  53. 53 Lecture 52 : Urban Freight Planning: Demand Modelling
  54. 54 Lecture 53 : Urban Freight Planning: Logistics
  55. 55 Lecture 54 : Last Mile Logistics 1
  56. 56 Lecture 55 : Last Mile Logistics 2
  57. 57 Lecture 56 : Employment location choice and Real estate Development location choice
  58. 58 Lecture 57 : Activity based model 1
  59. 59 Lecture 58 : Activity based model 2
  60. 60 Lecture 59 : Mode choice using Machine Learning
  61. 61 Lecture 60 : Shared Mobility

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