The document outlines transportation planning methods for trip generation, focusing on mathematical models such as regression and trip-rate analysis. It includes examples of calculating trip generation based on land use and provides references to manuals like the Institute of Transportation Engineers (ITE) and Dubai Trip Generation Manual. Additionally, it discusses cross-classification models using household characteristics to estimate trip rates, highlighting benefits and limitations.

1. Transportation
Planning
(Trip Generation)

2. Trip Generation
 Mathematical Models for Trip
Generation
◦ Regression Models
◦ Trip-Rate Analysis
◦ Cross-Classification

3. Trip Generation
 Trip-Rate Analysis
◦ Average trip-production or trip-attraction rates for
specific types of producers and attractors
◦ More suited to trip attractions

4. Trip-Rate Analysis
 Example

5. 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

6. Trip Generation
 Manuals for Trip Rates
◦ Institute of Transportation
Engineers (ITE) Trip Generation
Manual
◦ Dubai Trip Generation Manual

7. 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

8. Abu Dhabi Trip Generation
Manual
 Developed in Year 2013
 Based upon studies done in
Emirates of Abu Dhabi

10. Land use Structure

11. Land use
Structure

12. Land use
Structure

13. Spatial Distribution for Manual

14. Steps to Calculate
Trip Generation Rates

15. 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)

16. 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

17. Cross Classification Models
 House hold characteristics used in
Cross Classification Models
◦ House hold Size
◦ Car ownership
◦ Income

18. Cross-classification (category analysis)
Situation: Zone 1 characteristics are
Home based work (HBW) trip production data
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
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

19.  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
Cross-classification Models

20. 2520/1200 = 2.1
25*2.1 = 52

21. Norman W. Garrick
Using Trip Generation Manual
Proposed Trip Generation
Dwelling Units
Houses 131 DU 9.60 1,258
Town Houses 42 DU 5.60 235
Live Work DU 42 DU 3.60 151
Apartments 140 DU 6.70 938
Commercial
Live Work 21,000 SF 11.60 244
Mixed Use 1 181,800 SF 44.32 8,057
Mixed Use 2 181,800 SF 42.90 7,799
Lodging
Hotel 350 Rooms 8.90 3,115
Civic
Town Hall 42,000 SF 34.00 1,428
Library 30,000 SF 44.00 1,320
Pool 5,150 SF 16.00 82
Totals 24,628
Daily Trips
Land Use Size Trip Generation Classification
Trip Gen
Rates
Trip Gen
Single Tenant Office (715)
Specialty Retail Center (814)
Shopping Center (820)
Single-Family Detached Housing (210)
Condominium/Townhouse (230)
Condominium/Townhouse (230)
Apartment (220)
Library (590)
Recreation Center (495)
Hotel (310)
Government Office (730)
Estimated number of trip ends = 24,600
ITE Trip Generation Manual
Proposed size of project

22. 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