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NPTEL

Urban Landuse and Transportation Planning - Prof. Debpratim Pandit

NPTEL and Indian Institute of Technology, Kharagpur via YouTube

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Overview

COURSE OUTLINE: 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.

ABOUT INSTRUCTOR: Dr. Debapratim Pandit is currently an Associate Professor at the Department of Architecture and Regional Planning, Indian Institute of Technology Kharagpur. He has completed his PhD from the Department of Urban Engineering, University of Tokyo in the area of landuse transportation modeling and has more than twelve years of teaching and professional experience. He currently teaches Urban informatics, Advance Transportation Planning, Urban utilities and Services and Development Plans for Post Graduate and Research students

Syllabus

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

Taught by

IIT Kharagpur July 2018

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