Plays in YouTube's player, loaded from youtube-nocookie.com when you press Play. Watch on YouTube

Learn · Urban Landuse and Transportation Planning

Lecture 3 of 60Week 1

Lecture 03 : Urban landuse planning

Prof. Debapratim Pandit · IIT Kharagpur

Credits and licence

From
Urban Landuse and Transportation Planning, IIT Kharagpur (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch
Tweens profiles and older. How courses are placed

All the lectures

  1. Lecture 01 : Introduction to Landuse transportation planning YouTube
  2. Lecture 02 : Plans and planning process YouTube
  3. Lecture 03 : Urban landuse planning YouTube
  4. Lecture 04 : Comprehensive mobility plan YouTube
  5. Lecture 05 : Landuse transport interaction YouTube
  6. Lecture 06 : Theoretical foundations Part 1 YouTube
  7. Lecture 07 : Theoretical foundations Part 2 YouTube
  8. Lecture 08 : Modeling approaches YouTube
  9. Lecture 09 : Existing integrated land use transportation models YouTube
  10. Lecture 10 : Land use transportation model components and future challenges YouTube
  11. Lecture 11 : Sampling Theory - 1 YouTube
  12. Lecture 12 : Sampling Theory - 2 YouTube
  13. Lecture 13 : Data and Surveys YouTube
  14. Lecture 14 : Transport Planning surveys Part1 YouTube
  15. Lecture 15 : Transport Planning surveys Part 2 YouTube
  16. Lecture 16 : Demographic Transition YouTube
  17. Lecture 17 : Demographic Models 1 YouTube
  18. Lecture 18 : Demographic Models 2 YouTube
  19. Lecture 19 : Microsimulation and Population Synthesis 1 YouTube
  20. Lecture 20 : Microsimulation and Population Synthesis 2 YouTube
  21. Lecture 21 : Urban Growth Assessment YouTube
  22. Lecture 22 : Urban land suitability assessment YouTube
  23. Lecture 23 : Accessibility 1 YouTube
  24. Lecture 24 : Accessibility 2 YouTube
  25. Lecture 25 : Land Price Model YouTube
  26. Lecture 26 : Discrete choice theory YouTube
  27. Lecture 27: Residential mobility and location choice 1 YouTube
  28. Lecture 28 : Residential mobility model using binary logistic regression YouTube
  29. Lecture 29 : Residential mobility and location choice 2 YouTube
  30. Lecture 30 : Residential location choice model using multinomial logistic regression YouTube
  31. Lecture 31 : Travel demand forecasting and Trip generation YouTube
  32. Lecture 32 : Multiple linear regression YouTube
  33. Lecture 33 : Trip Production and Attraction 1 YouTube
  34. Lecture 34 : Trip Production and Attraction 2 YouTube
  35. Lecture 35 : Trip distribution YouTube
  36. Lecture 36 : Mode choice theory YouTube
  37. Lecture 37 : Mode choice model YouTube
  38. Lecture 38 : Hybrid mode choice model 1 (Factor Analysis) YouTube
  39. Lecture 39 : Hybrid mode choice model 2 (Joint RP SP model) YouTube
  40. Lecture 40 : Nested logit model YouTube
  41. Lecture 41 : Introduction to Trip Assignment YouTube
  42. Lecture 42 : Route Choice YouTube
  43. Lecture 43 : Link assignment 1 YouTube
  44. Lecture 44 : Link assignment 2 YouTube
  45. Lecture 45 : Dynamic traffic assignment YouTube
  46. Lecture 46 : Transportation Software YouTube
  47. Lecture 47 : CUBE Overview YouTube
  48. Lecture 48 : Travel demand modelling using CUBE and VISUM YouTube
  49. Lecture 49 : Activity based modelling in CUBE YouTube
  50. Lecture 50 : Vehicular emission and pollution modelling YouTube
  51. Lecture 51 : Urban Freight Planning: Theory YouTube
  52. Lecture 52 : Urban Freight Planning: Demand Modelling YouTube
  53. Lecture 53 : Urban Freight Planning: Logistics YouTube
  54. Lecture 54 : Last Mile Logistics 1 YouTube
  55. Lecture 55 : Last Mile Logistics 2 YouTube
  56. Lecture 56 : Employment location choice and Real estate Development location choice YouTube
  57. Lecture 57 : Activity based model 1 YouTube
  58. Lecture 58 : Activity based model 2 YouTube
  59. Lecture 59 : Mode choice using Machine Learning YouTube
  60. Lecture 60 : Shared Mobility YouTube