Five-star transportation
Using online activity reviews to examine mode choice to non-work destinations
Bibliographic Data
| ID | 19338564 |
|---|---|
| Authors | Andrew Mondschein (0000-0002-8454-0463, University of Virginia, corresponding author) |
| Year | 2015 |
| Volume | 42 |
| Issue | 4 |
| Pages | 707-722 |
| Publication date | 2015-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transportation (JOURNAL) |
| Journal identifiers | ISSN: 0049-4488 • E-ISSN: 1572-9435 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11116-015-9600-7 |
| OpenAlex | W2091269588 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
Data science · Destinations · Geography · Metropolitan area · Mode (computer interface) · Mode choice · Public transport · Tourism · Transport engineering · Transportation planning · Travel behavior · Work (physics) · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Transportation Planning and Optimization · Urban Transport and Accessibility
What Can We Learn from Online Reviews? Examining the Reviews of Los Angeles Metro Rail Stations
The San Francisco Travel Quality Study
The effect of economic incentives and cooperation messages on user participation in crowdsourced public transport technologies
Activity involvement and time spent on computers for leisure
Content analysis
Temporal Patterns of Happiness and Information in a Global Social Network
Smart cities of the future
Does TOD Need the T?
Validating walkability indices
Smart Cities, Big Data
Analysis of Survey Data
The influence of user-generated content on traveler behavior
Urban experience takes an informational turn
Current trends in Smart City initiatives
Accessibility and Cognition
Exploring Privacy Management on Facebook
Travel and the Built Environment
| Citations per year | 0.44 |
|---|---|
| Citation span | 2017 - 2023 (7) |
| Highly cited | No |