The document outlines the urban transportation planning process for the Jamshedpur urban agglomeration, focusing on demand modeling and data collection methods. It discusses trip generation, distribution, and mode split analysis, alongside traffic assignment techniques critical for forecasting transportation demand. Key components include future travel demand estimation, survey methodologies, and modeling approaches, summarizing a 4-step transportation demand forecasting process.

1. CE5601:
Urban Transportation Planning

2. Jamshedpur Urban Agglomeration

4. Planning
• Planning may be defined as the activity or
process that examines the potential of
future actions to guide a situation or a
system towards a desired direction, for
example, toward the attainment of
positive goals, the avoidance of problems
or both.
• It is oriented toward the future

6. Travel Demand Modelling
• Trends, Overall Planning process,
• Long term - Short term planning,
• Demand Function, Independent Variables,
Travel Attributes,
• Assumptions in Demand Estimation,
• Sequential, and Simultaneous Approaches,
• Aggregate and Disaggregate Techniques,
• Tour based models, and Activity based
models.

8. Data Collection and Inventories
• Collection of data – Organisation of surveys and
Analysis
• Study Area - Zoning
• Types and Sources of Data, Road Side Interviews,
Home Interview Surveys, Commercial Vehicle
Surveys
• Sampling Techniques, Expansion Factors,
Accuracy Checks
• Use of Secondary Sources, Economic data –
Income – Population – Employment – Vehicle
Owner Ship.

10. TRIP GENERATION MODELS
• UTPS Approach,
• Trip Generation Analysis:
–Zonal Models
–Category Analysis
–Household Models
–Trip Attraction models
–Commercial Trip Rates

11. Trip Productions
1000 trips
produced

12. Trip Attractions
1000 trips
attracted

13. Trip Generations
1000 trips
produced
1000 trips
attracted

14. TRIP DISTRIBUTION MODELS
• Growth Factor Methods
• Gravity Models
• Opportunity Models
• Time Function Iteration Models

15. Trip Distributions
1000 trips
produced
1000 trips
attracted
200 trips from
zone 46 to
zone 29

16. MODE SPLIT ANALYSIS
• Mode Choice Behavior
• Competing Modes
• Mode Split Curves
• Mode Choice Models and Probabilistic
Approaches – Logit Model

17. Modal Split Analysis
1000 trips
produced
1000 trips
attracted
200 trips
from zone 46
to zone 29
Private total: 190 (95%) Public transit: 10 (5%)

18. TRAFFIC ASSIGNMENT
TECHNIQUES
• Diversion Curves
• Basic Elements of Transport Networks,
Coding, Route Properties
• Path Building Criteria, Skimming Tree
• All-or-Nothing Assignment
• Capacity Restraint Techniques,
Reallocation of Assigned Volumes
• Equilibrium Assignment
• Multipath Assignment Technique

19. Traffic Assignment
1000 trips
produced
1000 trips
attracted
200 trips
from zone 46
to zone 29
Private total: 95% Public transit: 5%
70% this route
25% this route

20. 4-step Transportation Demand
Forecasting Process
• Preparation: Population and Economic analysis
and Land use analysis
Trip
generation
Determines how many trips each activity (center)
(residential area, commercial area, etc) will
produce or attract
Trip
distribution
Determines the origin or destination of trips that
are generated at a given activity
Modal split Determines which mode of transportation will be
used to make the trip
Traffic
assignment
Determines which route on the transportation
network will be used when making the trip