Transportation Planning (CE-863)
Spring Semester 2020
Dr. Kamran Ahmed
buet99@Hotmail.com , Office Room#110,Tel: 05190854153,
Cell: 0301-5630831
National Institute of Transportation (NIT)
School of Civil & Environmental Engineering (SCEE)
National University of Science and Technology (NUST)
NUST Campus, Sector H-12, Islamabad
Trip Generation
Mathematical Models for Trip
Generation
◦ Regression Models
◦ Trip-Rate Analysis
◦ Cross-Classification
Trip Generation
Trip-Rate Analysis
◦ Average trip-production or trip-attraction rates for
specific types of producers and attractors
◦ More suited to trip attractions
Trip-Rate Analysis
Example
Trip-Rate Analysis
For 100 employees in a retail shopping center, calculate the total number of
trips
Home-based work (HBW) =
100 employees x 1.7 trips/employee = 170
Home-based Other (HBO) =
100 employees x 10 trips/employee = 1,000
Non-home-based (NHB) =
100 employees x 5 trips/employee = 500
Total = 170 + 1000 + 500 = 1,670 daily trips
Trip Generation
Manuals for Trip Rates
◦ Institute of Transportation
Engineers (ITE) Trip Generation
Manual
◦ Dubai Trip Generation Manual
Dubai Trip Generation Manual
How to Use
◦ Identify the Land Use
◦ Match the Land Use with Trip Generation
Manual Class
◦ Time Period
◦ Units
◦ Average Rate and Regression Equation
◦ In and Out Distribution
Abu Dhabi Trip Generation
Manual
Developed in Year 2013
Based upon studies done in
Emirates of Abu Dhabi
Land use Structure
Land use
Structure
Land use
Structure
Spatial Distribution for Manual
Steps to Calculate Trip
Generation Rates
Examples for Trip Generation Manual
Residential Building in Al Ain CBD with a
total of 100 Apartments. Within
residential Building”
◦ 30 (1 bedroom apartments)
◦ 30 (2 bedroom apartments)
◦ 40 (3 bedroom apartments)
Trip Generation
Cross Classification Models
◦ Uses trip rates based on one or more explanatory
or "independent" variables
◦ Trip rates are determined by aggregating data
from surveys such as household travel surveys
Cross Classification Models
House hold characteristics used in Cross
Classification Models
◦ House hold Size
◦ Car ownership
◦ Income
Cross-classification (category analysis)
Situation: Zone 1 characteristics are
Households Income level
Household size <10,000 10,000 to 30,000 >30,000
1 10 100 50
2 10 200 50
3+ 30 100 50
Home based work (HBW) trip production data
HBW trip rate Income level
Household size <10,000 10,000 to 30,000 >30,000
1 1.5 2.5 2.5
2 2.5 4 5
3+ 3 5 7
Cross-classification Models
Advantages of cross-classification
Independent of zone system
No regression related assumptions necessary
Disadvantages
No extrapolation
No trip rate for cells with no observations
Difficult to add additional stratifying variables
Difficult to choose household groups
2520/1200 = 2.1
25*2.1 = 52
Using Trip Generation Manual
ITE Trip Generation Manual
Proposed Trip Generation
Daily Trips
Trip Gen
Land Use Size Trip Generation Classification Trip Gen
Rates
Dwelling Units
Houses 131 DU Single-Family Detached Housing (210) 9.60 1,258
Town Houses 42 DU Condominium/Townhouse (230) 5.60 235
Live Work DU 42 DU Condominium/Townhouse (230) 3.60 151
Apartments 140 DU Apartment (220) 6.70 938
Commercial
Live Work 21,000 SF Single Tenant Office (715) 11.60 244
Mixed Use 1 181,800 SF Specialty Retail Center (814) 44.32 8,057
Mixed Use 2 181,800 SF Shopping Center (820) 42.90 7,799
Lodging
Hotel 350 Rooms Hotel (310) 8.90 3,115
Civic
Town Hall 42,000 SF Government Office (730) 34.00 1,428
Library 30,000 SF Library (590) 44.00 1,320
Pool 5,150 SF Recreation Center (495) 16.00 82
Totals 24,628
Proposed size of project
Estimated number of trip ends = 24,600
Norman W. Garrick
Trip Generation
Cross-classification Example
Total Home-Based-Non-Work Trip Rates
Persons per Household
Type of Area Vehicles per HH 1 2,3 4 5+
High Density 0 0.6 2.1 4.6 7.0
1 1.5 3.0 5.5 7.9
2+ 1.8 3.4 5.9 8.3
Number of Households in Target Year
Persons per Household
Type of Area Vehicles per HH 1 2,3 4 5+
High Density 0 100 200 100 100
1 200 300 200 100
2+ 100 200 100 200
