Center for Activity Systems Analysis
Parent: UC Irvine Institute of Transportation Studies
eScholarship stats: Breakdown by Item for December, 2024 through March, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 7j0003j0 | The Four Step Model | 712 | 201 | 511 | 28.2% |
| 0r75311t | The Four Step Model | 396 | 62 | 334 | 15.7% |
| 7w59p200 | TravelBehavior.com: Activity Approaches to Modeling the Effects of Information Technology on Personal Travel | 156 | 141 | 15 | 90.4% |
| 86h7f5v0 | The Activity-Based Approach | 139 | 44 | 95 | 31.7% |
| 4xf6r519 | Comparing the Influence of Land Use on Nonwork Trip Generation and Vehicle Distance Traveled: An Analysis using Travel Diary Data. | 62 | 7 | 55 | 11.3% |
| 5sv5v9qt | The Activity-Based Approach | 58 | 7 | 51 | 12.1% |
| 7rb0h6gd | Why Do People Drive to Shop? Future Travel and Telecommunications Tradeoffs | 57 | 7 | 50 | 12.3% |
| 4z11d19q | An Activity-Based Microsimulation Model for Travel Demand Forecasting | 46 | 19 | 27 | 41.3% |
| 5cc9w7pp | Impact Of Real-World Driving Characteristics On Vehicular Emissions | 46 | 7 | 39 | 15.2% |
| 9gn7265f | The Built Environment as a Determinant of Walking Behavior: Analyzing Non-Work Pedestrian Travel in Portland, Oregon | 46 | 23 | 23 | 50.0% |
| 1mb5w3p2 | A Model of Activity Participation and Travel Interactions Between Household Heads | 41 | 11 | 30 | 26.8% |
| 5qq985sv | Does Neighborhood Design Influence Travel? A Behavioral Analysis of Travel Diary and GIS Data | 39 | 6 | 33 | 15.4% |
| 354750t4 | Estimation of Vehicular Emissions by Capturing Traffic Variations | 36 | 9 | 27 | 25.0% |
| 56t8j1n6 | Structural Equation Modeling for Travel Behavior Research | 30 | 14 | 16 | 46.7% |
| 1zf82002 | Conducting an Interactive Survey of Household Weekly Activities via Internet: Preliminary Results from a Pilot Study | 29 | 5 | 24 | 17.2% |
| 9pk298qc | Measuring Physical Accessibility with Space-Time Prisms in a GIS: A Case Study of Access to Health-Care Facilities | 29 | 8 | 21 | 27.6% |
| 2js9554x | The Potential for Integrating GIS in Activity-Based Forecasting Models | 26 | 3 | 23 | 11.5% |
| 4nk4q801 | An Empirical Investigation of the Dynamic Processes on Activity Scheduling and Trip Chaining | 26 | 5 | 21 | 19.2% |
| 0j04f7gv | Land Use Influences on Trip Chaining in Portland, Oregon | 25 | 4 | 21 | 16.0% |
| 6nb6d6wx | An Activity-Based Approach to Accessibility | 23 | 4 | 19 | 17.4% |
| 8dp3172d | GPS/GIS Technologies for Traffic Surveillance and Management: A Testbed Implementation Study | 22 | 14 | 8 | 63.6% |
| 9zd6c7dh | Land Use, Urban Design, and Non-Work Travel: Reproducing for Portland, Oregon, Empirical Tests from other Urban Areas | 22 | 6 | 16 | 27.3% |
| 1zd3g24p | Collecting Activity Data from GPS Readings | 21 | 7 | 14 | 33.3% |
| 7jm9c08m | New Highways, Urban Development and Induced Travel | 21 | 3 | 18 | 14.3% |
| 06j9p6t3 | Consumer E-Commerce, Virtual Accessibility and Sustainable Transport | 20 | 3 | 17 | 15.0% |
| 0r21q5jw | iCHASE: An Internet Computerized Household Activity Scheduling Elicitor Survey | 19 | 4 | 15 | 21.1% |
| 1vn7958m | On the Structure of Weekly Activity/Travel Patterns | 19 | 4 | 15 | 21.1% |
| 5m45p0sb | Towards Distributed Data Collection and Peer-to-Peer Data Sharing | 19 | 1 | 18 | 5.3% |
| 5nj1b37b | A Model of Household Demand for Activity Participation and Mobility | 19 | 2 | 17 | 10.5% |
| 08z0p3v3 | How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model | 18 | 6 | 12 | 33.3% |
| 0xr3w1n5 | Putting Behavior in Household Travel Behavior Data: An Interactive GIS-Based Survey via the Internet | 18 | 3 | 15 | 16.7% |
| 9730g8tn | An Activity-Based Travel Pattern Generation Model | 18 | 5 | 13 | 27.8% |
| 4zv467qv | TRACER: In-Vehicle, GPS-Based Wireless Technology for Traffic Surveillance and Management. | 17 | 2 | 15 | 11.8% |
| 62c2h8qr | Incorporating Yellow-Page Databases in GIS-Based Transportation Models | 17 | 5 | 12 | 29.4% |
| 951343hf | A Simultaneous Model of Household Activity Participation and Trip Chain Generation | 17 | 5 | 12 | 29.4% |
| 1596c2wb | An Activity-Based Microsimulation Model for Generating Synthetic Activity-Travel Patterns: Initial Results | 16 | 2 | 14 | 12.5% |
| 3bg4h82g | Can Land Use Policy Really Affect Travel Behavior? A Study of the Link between Non-Work Travel and Land Use Characteristics | 16 | 3 | 13 | 18.8% |
| 44h6f48x | A Bridge between Travel Demand Modeling and Activity-Based Travel Analysis | 16 | 6 | 10 | 37.5% |
| 5z12433b | Accessibility and Auto Use in a Motorized Metropolis | 16 | 4 | 12 | 25.0% |
| 68t9d9m4 | An Assessment of the Interaction of the Land Use-Transportation System and Travel Behavior | 16 | 2 | 14 | 12.5% |
| 0r28t441 | Toward Dynamic, Longitudinal, Agent-Based Microsimulation Models of Human Activity in Urban Settings | 15 | 2 | 13 | 13.3% |
| 15x0v29d | Evaluation of a Shared-Use Electric Vehicle Program: Integrating a Web-Based Survey with In-Vehicle Tracking | 15 | 4 | 11 | 26.7% |
| 2496s5nm | Application of Space-Time Prisms for the Measurement of Accessibility | 15 | 3 | 12 | 20.0% |
| 3867z3s9 | A GPS Enhanced In-Vehicle Extensible Data Collection Unit | 15 | 4 | 11 | 26.7% |
| 47f366f3 | Experimenting with a Computerized Self-Administrative Survey: Evaluating a Pilot Study | 15 | 5 | 10 | 33.3% |
| 3826k93v | The Tracer Data Collection System: Implementation and Operational Experience | 14 | 3 | 11 | 21.4% |
| 3vv5s6jk | An Empirical Investigation of the Underlying Behavioral Processes of Trip Chaining | 14 | 5 | 9 | 35.7% |
| 8j85r8qm | The Household Activity Pattern Problem: General Formulation and Solution | 14 | 4 | 10 | 28.6% |
| 9tc6f64c | Shopping without Travel or Travel without Shopping? An Investigation of Electronic Home Shopping | 14 | 6 | 8 | 42.9% |
| 9qn368ds | An Agent-Based Activity Microsimulation Kernel Using a Negotiation Metaphor | 13 | 5 | 8 | 38.5% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.