ArticleJournal of transport geography2020
Estimating a Large Travel Time Matrix Between Zip Codes in the United States: A Differential Sampling Approach.
Article in Journal of transport geography, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Article
- A Novel Simulation Framework for Evaluating and Optimizing Oncology Outreach Policies in a Regional Cancer System.Cancer medicine · 2026Article
- Geospatial Analysis of Commission on Cancer-Accredited Centers Within Cancer Care Utilization-Based Catchment Areas.JCO clinical cancer informatics · 2025Article
- Travel burden and bypassing closest site for surgical cancer treatment for urban and rural oncology patients.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Article
- The Association Between Oncology Outreach and Timely Treatment for Rural Patients with Breast Cancer: A Claims-Based Approach.Annals of surgical oncology · 2024Article
- Characterizing the Traveling Oncology Workforce and Its Influence on Patient Travel Burden: A Claims-Based Approach.JCO oncology practice · 2024Article
- Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic.Scientific data · 2023Article
- Critical access medication for opioid use disorder (MOUD) treatment facilities in the continental United States.Drug and alcohol dependence reports · 2023Article
- The interaction of rurality and rare cancers for travel time to cancer care.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023Article
- Rural-Urban Differences in Breast Cancer Surgical Delays in Medicare Beneficiaries.Annals of surgical oncology · 2022Article
- Delineation of Cancer Service Areas Anchored by Major Cancer Centers in the United States.Cancer research communications · 2022Article
- Spatial Behavior of Cancer Care Utilization in Distance Decay in the Northeast Region of the U.S.Travel behaviour & society · 2021Article
- Impact of travel time uncertainties on modeling of spatial accessibility: a comparison of street data sources.Cartography and geographic information science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Estimating a massive drive time matrix between locations is a practical but challenging task. The challenges include availability of reliable road network (including traffic) data, programming expertise, and access to high-performance computing resources. This research proposes a method for estimating a nationwide drive time matrix between ZIP code areas in the U.S.-a geographic unit at which many national datasets such as health information are compiled and distributed. The method (1) does not rely on intensive efforts in data preparation or access to advanced computing resources, (2) uses algorithms of varying complexity and computational time to estimate drive times of different trip lengths, and (3) accounts for both interzonal and intrazonal drive times. The core design samples ZIP code pairs with various intensities according to trip lengths and derives the drive times via Google Maps API, and the Google times are then used to adjust and improve some primitive estimates of drive times with low computational costs. The result provides a valuable resource for researchers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.