01590123

Component

https://doi.org/10.3141/2563-16

The need to account for intrazonal trips in macroscopic travel demand models has long been recognized, but the representation of all trip ends within a zone by a single centroid limits the determination of intrazonal interactions. There are no paths over which intrazonal impedances can be measured, so approximate methods have been used for the estimation of intrazonal impedances. This study proposes and tests the suitability of a new method that uses network nodes as trip ends and calculates the average trip impedance within a zone. Dachau, Germany, is used as a case study, and two approaches are explored to test the suitability of the methods. The first approach compares the estimated intrazonal distances to the reference distances computed between the building blocks within each zone; the second approach compares the estimated number of intrazonal trips to the surveyed number of intrazonal trips for different demand groups. The results show that the proposed method provides better estimates of intrazonal distances than the existing methods. However, a look at the estimated number of intrazonal trips indicates that better estimates of intrazonal impedances do not guarantee better estimates of intrazonal trips. Efforts to improve the estimation of intrazonal impedances should therefore be diverted toward refining zone systems to alleviate the need to deal with intrazonal trips.

01595160

16-0585

English

pp 114–121

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441223

Print

Figures (5) ; References (17) ; Tables (1)

Case studies; Evaluation; Methodology; Network nodes; Origin and destination; Traffic analysis zones; Travel demand; Trip length

Dachau (Germany)

Data and Information Technology; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 12 2016 4:24PM

• Automobile Ownership Model That Incorporates Captivity and Proximate Covariance
• Choice Set Formation Behavior: Joint Mode and Route Choice Selection Model
• Comprehensive Review of Travel Behavior and Mobility Pattern Studies That Used Mobile Phone Data
• Computation of Skims for Large-Scale Implementations of Integrated Activity-Based and Dynamic Traffic Assignment Models
• Deriving Truck Route Choice from Large GPS Data Streams
• Design, Development, and Implementation of a University Travel Demand Modeling Framework
• Developing Florida Statewide Multimodal Mobility Performance Measures
• Enhanced Synthetic Population Generator That Accommodates Control Variables at Multiple Geographic Resolutions
• Evaluating Long-Range Regional Safety with Scenario Planning Analysis
• Exploring Model and Behavior Uncertainty: Temporal Transferability Assessment of Vehicle Ownership Models for Boston, Massachusetts, Metropolitan Area
• Implementation of a Practical Model System to Predict Long-Distance Travel for the Entire U.S. Population
• Modified Betweenness-Based Measure for Prediction of Traffic Flow on Urban Roads
• Understanding the Potential of Variable Tolling to Smooth Congestion on Downstream Facilities: Applications of a Joint Time-of-Day and Route Choice Model
• Unifying Long- and Short-Distance Personal Travel in a Statewide Planning Model
• Who Uses Freeways and Who Pays for Them? Model-Based Analysis of Distribution Effects of Toll Tariff Systems in Germany