Urban Landuse And Transportation Planning

Course Duration : 12 Weeks

DEBAPRATIM PANDIT

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(0) 15 Students

What you will learn

  • Architecture and Planning

This course provides the basic concepts and skill sets to undertake urban landuse and transportation planning and to analyze the impact of various policies either related to infrastructure development, environmental regulation and urban expansion. This will help future planners to plan for our smart cities in a more comprehensive way. The course focuses on all the key components of urban development including urban demographic transitions, real estate development, residential location choice, land price fluctuations and transportation planning. Additionally, the course focuses on transport infrastructure and freight planning. Apart from providing a comprehensive knowhow about the traditional theories and models of urban transport systems, it also introduces the advanced techniques that are coming up in recent times like activity based models, shared mobility etc.

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Lecture 06: Theoretical foundations Part 1
Preview 27:32
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Lecture 07: Theoretical foundations Part 2
Preview 27:49
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Lecture 08: Modeling approaches
Preview 40:20
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Lecture 09: Existing integrated land use transportation models
Preview 29:13
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Lecture 10: Land use transportation model components and future challenges
Preview 41:19

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Lecture 11: Sampling Theory - 1
Preview 37:38
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Lecture 12: Sampling Theory - 2
Preview 35:11
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Lecture 13: Data and Surveys
Preview 33:10
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Lecture 14: Transport Planning surveys Part1
Preview 38:56
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Lecture 15: Transport Planning surveys Part 2
Preview 39:25

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Lecture 16: Demographic Transition
Preview 37:39
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Lecture 17: Demographic Models 1
Preview 38:26
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Lecture 18: Demographic Models 2
Preview 31:51
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Lecture 19: Microsimulation and Population Synthesis 1
Preview 45:50
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Lecture 20: Microsimulation and Population Synthesis 2
Preview 46:57

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Lecture 21: Urban Growth Assessment
Preview 43:28
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Lecture 22: Urban land suitability assessment
Preview 45:24
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Lecture 23: Accessibility 1
Preview 45:24
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Lecture 24: Accessibility 2
Preview 43:02
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Lecture 25: Land Price Model
Preview 39:24

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Lecture 26: Discrete choice theory
Preview 35:13
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Lecture 27: Residential mobility and location choice 1
Preview 35:22
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Lecture 28: Residential mobility model using binary logistic regression
Preview 32:14
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Lecture 29: Residential mobility and location choice 2
Preview 38:44
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Lecture 30: Residential location choice model using multinomial logistic regression
Preview 17:47

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Lecture 31: Travel demand forecasting and Trip generation
Preview 46:23
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Lecture 32: Multiple linear regression
Preview 28:36
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Lecture 33: Trip Production and Attraction 1
Preview 20:32
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Lecture 34: Trip Production and Attraction 2
Preview 21:10
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Lecture 35: Trip distribution
Preview 44:53

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Lecture 36: Mode choice theory
Preview 37:54
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Lecture 37: Mode choice model
Preview 40:08
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Lecture 38: Hybrid mode choice model 1 (Factor Analysis)
Preview 37:31
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Lecture 39: Hybrid mode choice model 2 (Joint RP SP model)
Preview 31:03
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Lecture 40: Nested logit model
Preview 34:39

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Lecture 41: Introduction to Trip Assignment
Preview 43:36
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Lecture 42: Route Choice
Preview 43:50
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Lecture 43: Link assignment 1
Preview 38:24
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Lecture 44: Link assignment 2
Preview 42:49
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Lecture 45: Dynamic traffic assignment
Preview 38:59

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Lecture 46: Transportation Software
Preview 30:46
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Lecture 47: CUBE Overview
Preview 44:16
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Lecture 48: Travel demand modelling using CUBE and VISUM
Preview 47:10
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Lecture 49: Activity based modelling in CUBE
Preview 21:52
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Lecture 50: Vehicular emission and pollution modelling
Preview 43:20

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Lecture 51: Urban Freight Planning: Theory
Preview 41:51
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Lecture 52: Urban Freight Planning: Demand Modelling
Preview 41:12
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Lecture 53: Urban Freight Planning: Logistics
Preview 47:01
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Lecture 54: Last Mile Logistics 1
Preview 45:43
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Lecture 55: Last Mile Logistics 2
Preview 52:53

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Lecture 56: Employment location choice and Real estate Development location choice
Preview 35:29
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Lecture 57: Activity based model 1
Preview 44:55
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Lecture 58: Activity based model 2
Preview 40:32
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Lecture 59: Mode choice using Machine Learning
Preview 41:00
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Lecture 60: Shared Mobility
Preview 40:31

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Live Session 23-08-2021
Preview 42:25
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Live Session 15-10-2020
Preview 49:38
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Live Session 19-11-2020
Preview 56:45
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Meet Your Instructor
video

Free

  • Course Duration
    40 h 18 m 6 s
  • Course Level
    Intermediate
  • Student Enrolled
    15
  • Language
    English
This Course Includes
  • 40 h 18 m 6 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion