01593602

Component

https://doi.org/10.3141/2563-15

Universities with large student enrollments often constitute special generators and contribute substantially to a region’s travel demand. Universities are not only large in size but also unique in nature because the travel patterns of university students are substantially different from those of the general population. Student travel patterns are dictated by class schedules, part-time work, and unique living arrangements. Despite recognition of the unique travel characteristics of university students, there is a dearth of research on the development of operational frameworks to model university travel demand. This study aims to fill this gap by proposing a comprehensive framework to model the travel demand associated with a large university. The framework has several unique features that are specific to a university, such as the special treatment of intracampus travel and the sensitivity of the travel mode to the parking infrastructure on campus. The framework was applied to two major (adjacent) universities in the city of Albuquerque, New Mexico. The framework was found to perform very well in replicating the travel patterns of the university population, classified by affiliation (student, faculty, and staff), education level (undergraduate or graduate), and living arrangement (on or off campus). The implementation of the framework was done in an open-source coding platform (Python) to facilitate seamless integration with the existing regional travel demand model.

01595160

16-6866

English

pp 105–113

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441223

Print

Figures (4) ; References (17) ; Tables (2)

Campus transportation; College students; Mode choice; Travel demand; Travel patterns

Albuquerque (New Mexico); Phoenix (Arizona)

Data and Information Technology; Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Jan 12 2016 6:59PM

• 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
• 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
• Evaluation of Methods for Estimation of Intrazonal Travel Impedances
• 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