Recent Work
Parent: Center for Activity Systems Analysis
eScholarship stats: Breakdown by Item for May through August, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 0r75311t | The Four Step Model | 853 | 147 | 706 | 17.2% |
| 7j0003j0 | The Four Step Model | 475 | 164 | 311 | 34.5% |
| 86h7f5v0 | The Activity-Based Approach | 386 | 76 | 310 | 19.7% |
| 9pk298qc | Measuring Physical Accessibility with Space-Time Prisms in a GIS: A Case Study of Access to Health-Care Facilities | 187 | 47 | 140 | 25.1% |
| 5cc9w7pp | Impact Of Real-World Driving Characteristics On Vehicular Emissions | 169 | 33 | 136 | 19.5% |
| 354750t4 | Estimation of Vehicular Emissions by Capturing Traffic Variations | 162 | 51 | 111 | 31.5% |
| 4nk4q801 | An Empirical Investigation of the Dynamic Processes on Activity Scheduling and Trip Chaining | 156 | 33 | 123 | 21.2% |
| 0j04f7gv | Land Use Influences on Trip Chaining in Portland, Oregon | 147 | 48 | 99 | 32.7% |
| 56t8j1n6 | Structural Equation Modeling for Travel Behavior Research | 147 | 45 | 102 | 30.6% |
| 4z11d19q | An Activity-Based Microsimulation Model for Travel Demand Forecasting | 144 | 45 | 99 | 31.3% |
| 0r28t441 | Toward Dynamic, Longitudinal, Agent-Based Microsimulation Models of Human Activity in Urban Settings | 129 | 42 | 87 | 32.6% |
| 5qq985sv | Does Neighborhood Design Influence Travel? A Behavioral Analysis of Travel Diary and GIS Data | 127 | 39 | 88 | 30.7% |
| 5sv5v9qt | The Activity-Based Approach | 119 | 22 | 97 | 18.5% |
| 7rb0h6gd | Why Do People Drive to Shop? Future Travel and Telecommunications Tradeoffs | 116 | 48 | 68 | 41.4% |
| 08z0p3v3 | How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model | 115 | 28 | 87 | 24.3% |
| 9gn7265f | The Built Environment as a Determinant of Walking Behavior: Analyzing Non-Work Pedestrian Travel in Portland, Oregon | 114 | 40 | 74 | 35.1% |
| 2496s5nm | Application of Space-Time Prisms for the Measurement of Accessibility | 111 | 26 | 85 | 23.4% |
| 3bg4h82g | Can Land Use Policy Really Affect Travel Behavior? A Study of the Link between Non-Work Travel and Land Use Characteristics | 111 | 23 | 88 | 20.7% |
| 1mb5w3p2 | A Model of Activity Participation and Travel Interactions Between Household Heads | 108 | 58 | 50 | 53.7% |
| 9tc6f64c | Shopping without Travel or Travel without Shopping? An Investigation of Electronic Home Shopping | 106 | 54 | 52 | 50.9% |
| 3826k93v | The Tracer Data Collection System: Implementation and Operational Experience | 103 | 25 | 78 | 24.3% |
| 15x0v29d | Evaluation of a Shared-Use Electric Vehicle Program: Integrating a Web-Based Survey with In-Vehicle Tracking | 102 | 42 | 60 | 41.2% |
| 06j9p6t3 | Consumer E-Commerce, Virtual Accessibility and Sustainable Transport | 101 | 20 | 81 | 19.8% |
| 0xr3w1n5 | Putting Behavior in Household Travel Behavior Data: An Interactive GIS-Based Survey via the Internet | 100 | 37 | 63 | 37.0% |
| 2js9554x | The Potential for Integrating GIS in Activity-Based Forecasting Models | 100 | 29 | 71 | 29.0% |
| 7jm9c08m | New Highways, Urban Development and Induced Travel | 94 | 20 | 74 | 21.3% |
| 3vv5s6jk | An Empirical Investigation of the Underlying Behavioral Processes of Trip Chaining | 93 | 17 | 76 | 18.3% |
| 4zv467qv | TRACER: In-Vehicle, GPS-Based Wireless Technology for Traffic Surveillance and Management. | 91 | 23 | 68 | 25.3% |
| 5z12433b | Accessibility and Auto Use in a Motorized Metropolis | 91 | 16 | 75 | 17.6% |
| 951343hf | A Simultaneous Model of Household Activity Participation and Trip Chain Generation | 91 | 24 | 67 | 26.4% |
| 4xf6r519 | Comparing the Influence of Land Use on Nonwork Trip Generation and Vehicle Distance Traveled: An Analysis using Travel Diary Data. | 90 | 24 | 66 | 26.7% |
| 1596c2wb | An Activity-Based Microsimulation Model for Generating Synthetic Activity-Travel Patterns: Initial Results | 82 | 35 | 47 | 42.7% |
| 5nj1b37b | A Model of Household Demand for Activity Participation and Mobility | 82 | 22 | 60 | 26.8% |
| 7w59p200 | TravelBehavior.com: Activity Approaches to Modeling the Effects of Information Technology on Personal Travel | 81 | 27 | 54 | 33.3% |
| 62c2h8qr | Incorporating Yellow-Page Databases in GIS-Based Transportation Models | 80 | 24 | 56 | 30.0% |
| 0r21q5jw | iCHASE: An Internet Computerized Household Activity Scheduling Elicitor Survey | 79 | 22 | 57 | 27.8% |
| 1zf82002 | Conducting an Interactive Survey of Household Weekly Activities via Internet: Preliminary Results from a Pilot Study | 79 | 31 | 48 | 39.2% |
| 40w6z879 | The Design and Implementation of an On-Line Travel and Activity Survey | 76 | 24 | 52 | 31.6% |
| 8dp3172d | GPS/GIS Technologies for Traffic Surveillance and Management: A Testbed Implementation Study | 76 | 26 | 50 | 34.2% |
| 95p732sh | Measuring the Impact of Efficient Household Travel Decisions on Potential Travel Time Savings and Accessibility Gains | 76 | 27 | 49 | 35.5% |
| 3tm4q252 | A Latent Factor Model of Observed Activities | 75 | 18 | 57 | 24.0% |
| 47f366f3 | Experimenting with a Computerized Self-Administrative Survey: Evaluating a Pilot Study | 72 | 17 | 55 | 23.6% |
| 68t9d9m4 | An Assessment of the Interaction of the Land Use-Transportation System and Travel Behavior | 70 | 21 | 49 | 30.0% |
| 3867z3s9 | A GPS Enhanced In-Vehicle Extensible Data Collection Unit | 69 | 24 | 45 | 34.8% |
| 9730g8tn | An Activity-Based Travel Pattern Generation Model | 69 | 19 | 50 | 27.5% |
| 8j85r8qm | The Household Activity Pattern Problem: General Formulation and Solution | 68 | 27 | 41 | 39.7% |
| 9zd6c7dh | Land Use, Urban Design, and Non-Work Travel: Reproducing for Portland, Oregon, Empirical Tests from other Urban Areas | 68 | 18 | 50 | 26.5% |
| 1zd3g24p | Collecting Activity Data from GPS Readings | 64 | 24 | 40 | 37.5% |
| 44h6f48x | A Bridge between Travel Demand Modeling and Activity-Based Travel Analysis | 61 | 31 | 30 | 50.8% |
| 6nb6d6wx | An Activity-Based Approach to Accessibility | 60 | 16 | 44 | 26.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.