Route Choice Efficiency
An Investigation of Home-To-Work Trips Using GPS Data
Bibliographic Data
| ID | 4139828 |
|---|---|
| Authors | Dominik Papinski (McMaster University, corresponding author), Darren M Scott (0000-0002-1545-3737, McMaster University, corresponding author) |
| Year | 2013 |
| Volume | 45 |
| Issue | 2 |
| Pages | 263-275 |
| Publication date | 2013-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a44545 |
| OpenAlex | W2043721498 |
| Language | EN |
| Citations received | 9 |
| References cited | 27 |
This paper proposes a new way to study commuting efficiency based on the degree to which actual routes between places deviate from shortest paths. Factors influencing 'route choice efficiency' are investigated using a sample of home-based work trips obtained from the Space-Time Activity Research (STAR) survey, which was conducted in Halifax, Canada, between April 2007 and May 2008. The findings indicate that many drivers pursue suboptimal routes. Furthermore, the results from two ordered probit models reveal that sex, household size, work schedule, actual distance to work, distance to the central business district, travel time, and exposure to public transit are among the factors found to influence route choice efficiency
Econometrics · Economics · Estimation · Geography · Global Positioning System · Operations research · Ordered probit · Probit · Probit model · Public transport · Schedule · Telecommunications · Transport engineering · Travel behavior · TRIPS architecture · Work schedule · Computer Science · Economic and Environmental Valuation · Engineering · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility
Modeling of Time Geographical Kernel Density Function under Network Constraints
Spatial structure and mechanism typologies of metro commuting efficiency in Chinese megacities
Understanding bike share cyclist route choice using GPS data
Route choice of bike share users
The path and time efficiency of residents' trips of different purposes with different travel modes
Why do bicyclists take detours? A multilevel regression model using smartphone GPS data
Determinants of route choice behavior
Built environment, peak hours and route choice efficiency
Juggling commutes and cribs
Excess Commuting
Impacts of commuting efficiency on congestion and emissions
The influence of route guidance advice on route choice in urban networks
Is non-work travel excessive
Spatial choices and excess commuting
Commute minimization in the Greater Toronto Area
Excess Commuting and the Modifiable Areal Unit Problem
Is the Journey to Work Explained by Urban Structure
Wasteful Commuting Again
"Wasteful" Commuting
Wasteful Commuting
A statistical model for the analysis of ordinal level dependent variables
Wasted Density? The Impact of Toronto's Residential-Density-Distribution Policies on Public-Transit Use and Walking
Disaggregate Journey-to-Work Data
| Unique citing works | 9 |
|---|---|
| Citations per year | 0,9 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |