Half-(head)way there
Comparing two methods to account for public transport waiting time in accessibility indicators
Bibliographic Data
| ID | 21246922 |
|---|---|
| Authors | Anson Stewart (0000-0002-3862-1393, Massachusetts Institute of Technology, corresponding author), Andrew M Byrd (Conveyal LLC, Somerville, MA, USA), Andrew Byrd |
| Year | 2023 |
| Volume | 50 |
| Issue | 8 |
| Pages | 2187-2202 |
| Publication date | 2023-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083221137077 |
| OpenAlex | W4310482818 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
Various methods have been developed to account for travel time variability and uncertainty when analyzing public transport networks and computing related accessibility indicators. In this paper, we establish some convergence characteristics of one such method, implemented in the R5 routing engine, yielding guidelines for the minimum number of randomized schedules. This parameter has implications for result stability, analysis turnaround time, and computation costs. We also confirm that for travel time and accessibility results, there are spatially varying differences between our method and the conventional method relying on the assumption of half-headway waiting times. The conventional method appears to understate the benefits of transit in certain locations, particularly those served by multiple lines. Researchers and planning practitioners may find the R5 method preferable when analyzing complex networks or comparing transit scenarios where routes are specified in terms of headways or frequencies, rather than complete schedules with exact departure times for each trip
Algorithm · Computation · Economics · Headway · Machine learning · Mathematical optimization · Operations research · Public transport · Simulation · Transport engineering · Travel time · Turnaround time · Computer Science · Economic and Environmental Valuation · Engineering · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility
R5r
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City profile
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |