osrmtime: Calculate Travel Time and Distance with OpenStreetMap Data Using the Open Source Routing Machine (OSRM)

Huber, Stephan; Rüst, Christoph Alexander

doi:10.2139/ssrn.2691551

Cited by 21 publications

(16 citation statements)

References 3 publications

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“…The main exposure was the travel distance to the nearest abortion facility. We used the Advancing New Standards in Reproductive Health national abortion facility database and Open Source Routing Machine to determine travel distance and time by car . We included publicly advertised abortion facilities operating in 2015, as verified by telephone calls, local news reports, or a website active throughout the year.…”

Section: Methodsmentioning

confidence: 99%

Association of Travel Distance to Nearest Abortion Facility With Rates of Abortion

Thompson

Sturrock

Foster³

et al. 2021

JAMA Netw Open

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IMPORTANCE Travel distance to abortion services varies widely in the US. Some evidence shows travel distance affects use of abortion care, but there is no national analysis of how abortion rate changes with travel distance.OBJECTIVE To examine the association between travel distance to the nearest abortion care facility and the abortion rate and to model the effect of reduced travel distance. DESIGN, SETTING, AND PARTICIPANTSThis cross-sectional geographic analysis used 2015 data on abortions by county of residence from 1948 counties in 27 states. Abortion rates were modeled using a spatial Poisson model adjusted for age, race/ethnicity, marital status, educational attainment, household poverty, nativity, and state abortion policies. Abortion rates for 3107 counties in the 48 contiguous states that were home to 62.5 million female residents of reproductive age (15-44 years) and changes under travel distance scenarios, including integration into primary care (<30 miles) and availability of telemedicine care (<5 miles), were estimated. Data were collected from April 2018 to October 2019 and analyzed from December 2019 to July 2020. EXPOSURES Median travel distance by car to the nearest abortion facility. MAIN OUTCOMES AND MEASURES US county abortion rate per 1000 female residents of reproductive age. RESULTS Among the 1948 counties included in the analysis, greater travel distances were associated with lower abortion rates in a dose-response manner. Compared with a median travel distance of less than 5 miles (median rate, 21.1 [range, 1.2-63.6] per 1000 female residents of reproductive age), distances of 5 to 15 miles (median rate, 12.2 [range, 0.5-23.4] per 1000 female residents of reproductive age; adjusted coefficient, −0.05 [95% CI, −0.07 to −0.03]) and 120 miles or more (median rate, 3.9 [range, 0-12.9] per 1000 female residents of reproductive age; coefficient, −0.73 [95% CI, −0.80 to −0.65]) were associated with lower rates. In a model of 3107 counties with 62.5 million female residents of reproductive age, 696 760 abortions were estimated (mean rate, 11.1 [range, 1.0-45.5] per 1000 female residents of reproductive age). If abortion were integrated into primary care, an additional 18 190 abortions (mean rate, 11.4 [range, 1.1-45.5] per 1000 female residents of reproductive age) were estimated. If telemedicine were widely available, an additional 70 920 abortions were estimated (mean rate, 12.3 [range, 1.4-45.5] per 1000 female residents of reproductive age). CONCLUSIONS AND RELEVANCE These findings suggest that greater travel distances to abortion services are associated with lower abortion rates. The results indicate which geographic areas have insufficient access to abortion care. Modeling suggests that integrating abortion into primary care or making medication abortion care available by telemedicine may decrease unmet need.

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Section: Methodsmentioning

confidence: 99%

Association of Travel Distance to Nearest Abortion Facility With Rates of Abortion

Thompson

Sturrock

Foster³

et al. 2021

JAMA Netw Open

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“…Evaluating property prices as a function of walking distance adds value to the sports facility economics literature by providing insight on the differences in extent and size of positive spillover benefits between the two measurements. Walking distance is calculated following Huber and Rust (2016).…”

Section: Methodsmentioning

confidence: 99%

Sports Facilities as a Housing Amenity: Do Prices Follow Facilities?

Propheter

2022

Journal of Sports Economics

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The sports facility amenity theory predicts that when facility sites change, home prices nearer the prior site decline while home prices nearer the new site increase. Using home sales data in the vicinity of two proposed facility sites for the Golden State Warriors in San Francisco, the data are generally supportive of the amenity theory. The study also shows that Euclidean and walking distance can yield dissimilar treatment effect sizes, thus compelling researchers to justify their distance measurement choice. Finally, the data provide weak support that home buyers respond to changes in facility re-designs towards increased public benefits.

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“…Travel time between each synthetic-family location and any ECE provider is estimated using osrmtime, a Stata command that calculates driving time between two geocoded points (Huber & Rust, 2016). 5 When computing travel time, the algorithm locates the nearest point on the road network and travel times are computed from that point.…”

Section: Data On Families and Family Locationsmentioning

confidence: 99%

Family-centered measures of access to early care and education

Davis

Lee

Sojourner

2019

Early Childhood Research Quarterly

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Family-Centered Measures of Access to Early Care and Education MARCH 2018Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.Schaumburg-Lippe-Straße 5-9 53113 Bonn, Germany Phone: +49-228-3894-0 Email: publications@iza.org www.iza.org IZA -Institute of Labor Economics DISCUSSION PAPER SERIESIZA DP No. 11396 Family-Centered Measures of Access to Early Care and Education MARCH 2018 Elizabeth Davis University of Minnesota Won Fy Lee University of Minnesota Aaron Sojourner

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osrmtime: Calculate Travel Time and Distance with OpenStreetMap Data Using the Open Source Routing Machine (OSRM)

Cited by 21 publications

References 3 publications

Association of Travel Distance to Nearest Abortion Facility With Rates of Abortion

Association of Travel Distance to Nearest Abortion Facility With Rates of Abortion

Sports Facilities as a Housing Amenity: Do Prices Follow Facilities?

Family-centered measures of access to early care and education

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