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¶¶Òõ¶ÌÊÓÆµ data products deliver research insights for Development Data Partners in 2024

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January 23, 2025

¶¶Òõ¶ÌÊÓÆµ data products deliver research insights for Development Data Partners in 2024

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January 23, 2025

Researchers at the World Bank and OECD apply ¶¶Òõ¶ÌÊÓÆµ Traffic and Movement data, as well as the ¶¶Òõ¶ÌÊÓÆµ Isochrone API, to inform transportation infrastructure planning and service availability around the world.

For the past four years, ¶¶Òõ¶ÌÊÓÆµ has partnered with the , an initiative that includes and 11 other international organizations as its members. The Partnership fosters collaborations between international organizations and technology companies to promote the responsible use of data for public good.?

Each year, ¶¶Òõ¶ÌÊÓÆµ provides pro-bono products including ¶¶Òõ¶ÌÊÓÆµ Traffic, ¶¶Òõ¶ÌÊÓÆµ Movement, the ¶¶Òõ¶ÌÊÓÆµ Isochrone API, and the ¶¶Òõ¶ÌÊÓÆµ Matrix API to Partnership research projects. In 2024, ¶¶Òõ¶ÌÊÓÆµ supported 12 projects across South Asia, North America, Latin America, Africa, and Europe. ¶¶Òõ¶ÌÊÓÆµ data have been fundamental inputs for research projects focused on reducing the impact of natural disasters, improving transportation infrastructure, and advancing economic and social development.?

Advancing urban mobility and job accessibility in Argentina?

Urban transportation infrastructure plays a central role in job accessibility, quality of life, and environmental conservation. In Argentina, the World Bank¡¯s Transport Global Practice in Latin America used ¶¶Òõ¶ÌÊÓÆµ Traffic Data to analyze. Using a model developed with ¶¶Òõ¶ÌÊÓÆµ Traffic Data and open-source libraries such as Pandana, UrbanAccess, and OSMnx, the team calculated the number of jobs reachable within specific time thresholds from different metropolitan areas. The analysis covered various modes of transport, including car, public transit, bicycles, and combination of public transport and bicycle. Research revealed that car access to jobs remains significantly higher than other transport options, highlighting the need to improve public transit and cycling infrastructure to provide viable alternatives to car travel. This data-driven approach not only identifies accessibility gaps but also informs strategic investments to boost economic productivity and improve urban mobility.

¡°To calculate accessibility to jobs by car considering congested traffic conditions, we utilize high frequency data from ¶¶Òõ¶ÌÊÓÆµ to compute travel times from any origin and destination within a given area. Due to cost constraints, it is uncommon to study car accessibility under congested conditions. Thanks to the Development Data Partnership with ¶¶Òõ¶ÌÊÓÆµ, we obtained the required data.¡±?
Geographic accessibility of jobs, considering congested traffic conditions using ¶¶Òõ¶ÌÊÓÆµ?Traffic data.

Reducing congestion in Lima using ¶¶Òõ¶ÌÊÓÆµ Traffic Data

¶¶Òõ¶ÌÊÓÆµ Traffic also informed the development of a 10-year urban mobility strategy for Lima, Peru. In 2022 the city was ranked the fourth most congested metropolitan area in the world, highlighting the need for changing mobility patterns. However, it was challenging for analysts to access adequate data to analyze traffic behavior across the rapidly growing city.

In collaboration with ¶¶Òõ¶ÌÊÓÆµ and other location technology partners, the World Bank¡¯s Transport Global Practice developed a transportation database for the ¡°¡± project. The team mapped trips between city zones, average travel distances and times, speeds, and congestion hotspots. This analysis enabled local authorities with location insights for reducing congestion, improving job access, and optimizing public and non-motorized transit. Improving travel times will directly support an estimated two-thirds of the economic benefits identified in the 10-year urban transport program¡¯s first phase.

¡°Understanding and optimizing actual traffic patterns requires specialized data that is very expensive to collect. Accessing ¶¶Òõ¶ÌÊÓÆµ Traffic Data through the Development Data Partnership has made it possible for researchers and project teams to conduct more nuanced and detailed analysis than previously available to them.¡± ¨C Claudia Calderon, Partnerships Lead, Development Data Partnership
A dedicated bike line in Lima¡¯s Puente Villena neighborhood. (Image credit: Myriam B/Shutterstock.com)

Enhancing service accessibility in European towns and villages?

In the European Union, towns and villages face demographic challenges such as population decline, aging populations, and rural depopulation. Half of all villages and more than 40% of towns have lost population. The OECD used the to inform its project .

The team used the ¶¶Òõ¶ÌÊÓÆµ Isochrone API to map drive-time polygons around towns and villages to assess the availability of services accessible within a 30-minute drive. Using the ¶¶Òõ¶ÌÊÓÆµ Isochrone API meant that the drive-time polygons actually followed the road network, instead of only a simplified straight line distance, allowing for a more nuanced and realistic analysis of the availability of services. The research revealed that isolated towns often develop more local services to compensate for their isolation, confirmed demographic challenges such as aging populations and rural depopulation, and underscored the need to strengthen local services in remote areas to improve access to healthcare and education.

Analysis compared travel-time to the nearest city in both the United States and Europe.

Identifying healthcare gaps in Lithuania

Another project focused on demographic change , where rapid social and economic changes have challenged healthcare delivery. The Regional Development and Multilevel Governance (RDG) Division of the Centre for Entrepreneurship, SMEs, Regions, and Cities (CFE) at the OECD, used the to evaluate access to primary healthcare (PHC) and long-term care (LTC). By overlaying realistic travel-time isochrones with population grids, researchers pinpointed service gaps and identified areas in need of investment.

Visualization of travel time to care in Taurag? zone

Innovating with ¶¶Òõ¶ÌÊÓÆµ location data

Each year, every Development Data Partnership project that uses ¶¶Òõ¶ÌÊÓÆµ data further illuminates the potential of location data when applied to some of the world¡¯s most pressing challenges. From improving rural service accessibility to enhancing road safety, ¶¶Òõ¶ÌÊÓÆµ equips researchers, governments, and businesses with insightful and valuable location data.?

¡°Through the generous support of the ¶¶Òõ¶ÌÊÓÆµ Data team in 2024, the Development Data Partnership has been able to support a wide range of impactful projects. We look forward to continued collaboration with ¶¶Òõ¶ÌÊÓÆµ as we expand the use of both established and innovative research techniques using ¶¶Òõ¶ÌÊÓÆµ¡¯s uniquely valuable location data.¡± ¨C Claudia Calderon, Partnerships Lead, Development Data Partnership

Learn more about the and connect with ¶¶Òõ¶ÌÊÓÆµ about other ways that ¶¶Òõ¶ÌÊÓÆµ data can support impactful research projects.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Researchers at the World Bank and OECD apply ¶¶Òõ¶ÌÊÓÆµ Traffic and Movement data, as well as the ¶¶Òõ¶ÌÊÓÆµ Isochrone API, to inform transportation infrastructure planning and service availability around the world.

For the past four years, ¶¶Òõ¶ÌÊÓÆµ has partnered with the , an initiative that includes and 11 other international organizations as its members. The Partnership fosters collaborations between international organizations and technology companies to promote the responsible use of data for public good.?

Each year, ¶¶Òõ¶ÌÊÓÆµ provides pro-bono products including ¶¶Òõ¶ÌÊÓÆµ Traffic, ¶¶Òõ¶ÌÊÓÆµ Movement, the ¶¶Òõ¶ÌÊÓÆµ Isochrone API, and the ¶¶Òõ¶ÌÊÓÆµ Matrix API to Partnership research projects. In 2024, ¶¶Òõ¶ÌÊÓÆµ supported 12 projects across South Asia, North America, Latin America, Africa, and Europe. ¶¶Òõ¶ÌÊÓÆµ data have been fundamental inputs for research projects focused on reducing the impact of natural disasters, improving transportation infrastructure, and advancing economic and social development.?

Advancing urban mobility and job accessibility in Argentina?

Urban transportation infrastructure plays a central role in job accessibility, quality of life, and environmental conservation. In Argentina, the World Bank¡¯s Transport Global Practice in Latin America used ¶¶Òõ¶ÌÊÓÆµ Traffic Data to analyze. Using a model developed with ¶¶Òõ¶ÌÊÓÆµ Traffic Data and open-source libraries such as Pandana, UrbanAccess, and OSMnx, the team calculated the number of jobs reachable within specific time thresholds from different metropolitan areas. The analysis covered various modes of transport, including car, public transit, bicycles, and combination of public transport and bicycle. Research revealed that car access to jobs remains significantly higher than other transport options, highlighting the need to improve public transit and cycling infrastructure to provide viable alternatives to car travel. This data-driven approach not only identifies accessibility gaps but also informs strategic investments to boost economic productivity and improve urban mobility.

¡°To calculate accessibility to jobs by car considering congested traffic conditions, we utilize high frequency data from ¶¶Òõ¶ÌÊÓÆµ to compute travel times from any origin and destination within a given area. Due to cost constraints, it is uncommon to study car accessibility under congested conditions. Thanks to the Development Data Partnership with ¶¶Òõ¶ÌÊÓÆµ, we obtained the required data.¡±?
Geographic accessibility of jobs, considering congested traffic conditions using ¶¶Òõ¶ÌÊÓÆµ?Traffic data.

Reducing congestion in Lima using ¶¶Òõ¶ÌÊÓÆµ Traffic Data

¶¶Òõ¶ÌÊÓÆµ Traffic also informed the development of a 10-year urban mobility strategy for Lima, Peru. In 2022 the city was ranked the fourth most congested metropolitan area in the world, highlighting the need for changing mobility patterns. However, it was challenging for analysts to access adequate data to analyze traffic behavior across the rapidly growing city.

In collaboration with ¶¶Òõ¶ÌÊÓÆµ and other location technology partners, the World Bank¡¯s Transport Global Practice developed a transportation database for the ¡°¡± project. The team mapped trips between city zones, average travel distances and times, speeds, and congestion hotspots. This analysis enabled local authorities with location insights for reducing congestion, improving job access, and optimizing public and non-motorized transit. Improving travel times will directly support an estimated two-thirds of the economic benefits identified in the 10-year urban transport program¡¯s first phase.

¡°Understanding and optimizing actual traffic patterns requires specialized data that is very expensive to collect. Accessing ¶¶Òõ¶ÌÊÓÆµ Traffic Data through the Development Data Partnership has made it possible for researchers and project teams to conduct more nuanced and detailed analysis than previously available to them.¡± ¨C Claudia Calderon, Partnerships Lead, Development Data Partnership
A dedicated bike line in Lima¡¯s Puente Villena neighborhood. (Image credit: Myriam B/Shutterstock.com)

Enhancing service accessibility in European towns and villages?

In the European Union, towns and villages face demographic challenges such as population decline, aging populations, and rural depopulation. Half of all villages and more than 40% of towns have lost population. The OECD used the to inform its project .

The team used the ¶¶Òõ¶ÌÊÓÆµ Isochrone API to map drive-time polygons around towns and villages to assess the availability of services accessible within a 30-minute drive. Using the ¶¶Òõ¶ÌÊÓÆµ Isochrone API meant that the drive-time polygons actually followed the road network, instead of only a simplified straight line distance, allowing for a more nuanced and realistic analysis of the availability of services. The research revealed that isolated towns often develop more local services to compensate for their isolation, confirmed demographic challenges such as aging populations and rural depopulation, and underscored the need to strengthen local services in remote areas to improve access to healthcare and education.

Analysis compared travel-time to the nearest city in both the United States and Europe.

Identifying healthcare gaps in Lithuania

Another project focused on demographic change , where rapid social and economic changes have challenged healthcare delivery. The Regional Development and Multilevel Governance (RDG) Division of the Centre for Entrepreneurship, SMEs, Regions, and Cities (CFE) at the OECD, used the to evaluate access to primary healthcare (PHC) and long-term care (LTC). By overlaying realistic travel-time isochrones with population grids, researchers pinpointed service gaps and identified areas in need of investment.

Visualization of travel time to care in Taurag? zone

Innovating with ¶¶Òõ¶ÌÊÓÆµ location data

Each year, every Development Data Partnership project that uses ¶¶Òõ¶ÌÊÓÆµ data further illuminates the potential of location data when applied to some of the world¡¯s most pressing challenges. From improving rural service accessibility to enhancing road safety, ¶¶Òõ¶ÌÊÓÆµ equips researchers, governments, and businesses with insightful and valuable location data.?

¡°Through the generous support of the ¶¶Òõ¶ÌÊÓÆµ Data team in 2024, the Development Data Partnership has been able to support a wide range of impactful projects. We look forward to continued collaboration with ¶¶Òõ¶ÌÊÓÆµ as we expand the use of both established and innovative research techniques using ¶¶Òõ¶ÌÊÓÆµ¡¯s uniquely valuable location data.¡± ¨C Claudia Calderon, Partnerships Lead, Development Data Partnership

Learn more about the and connect with ¶¶Òõ¶ÌÊÓÆµ about other ways that ¶¶Òõ¶ÌÊÓÆµ data can support impactful research projects.

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Blog

¶¶Òõ¶ÌÊÓÆµ data products deliver research insights for Development Data Partners in 2024

Heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Researchers at the World Bank and OECD apply ¶¶Òõ¶ÌÊÓÆµ Traffic and Movement data, as well as the ¶¶Òõ¶ÌÊÓÆµ Isochrone API, to inform transportation infrastructure planning and service availability around the world.

For the past four years, ¶¶Òõ¶ÌÊÓÆµ has partnered with the , an initiative that includes and 11 other international organizations as its members. The Partnership fosters collaborations between international organizations and technology companies to promote the responsible use of data for public good.?

Each year, ¶¶Òõ¶ÌÊÓÆµ provides pro-bono products including ¶¶Òõ¶ÌÊÓÆµ Traffic, ¶¶Òõ¶ÌÊÓÆµ Movement, the ¶¶Òõ¶ÌÊÓÆµ Isochrone API, and the ¶¶Òõ¶ÌÊÓÆµ Matrix API to Partnership research projects. In 2024, ¶¶Òõ¶ÌÊÓÆµ supported 12 projects across South Asia, North America, Latin America, Africa, and Europe. ¶¶Òõ¶ÌÊÓÆµ data have been fundamental inputs for research projects focused on reducing the impact of natural disasters, improving transportation infrastructure, and advancing economic and social development.?

Advancing urban mobility and job accessibility in Argentina?

Urban transportation infrastructure plays a central role in job accessibility, quality of life, and environmental conservation. In Argentina, the World Bank¡¯s Transport Global Practice in Latin America used ¶¶Òõ¶ÌÊÓÆµ Traffic Data to analyze. Using a model developed with ¶¶Òõ¶ÌÊÓÆµ Traffic Data and open-source libraries such as Pandana, UrbanAccess, and OSMnx, the team calculated the number of jobs reachable within specific time thresholds from different metropolitan areas. The analysis covered various modes of transport, including car, public transit, bicycles, and combination of public transport and bicycle. Research revealed that car access to jobs remains significantly higher than other transport options, highlighting the need to improve public transit and cycling infrastructure to provide viable alternatives to car travel. This data-driven approach not only identifies accessibility gaps but also informs strategic investments to boost economic productivity and improve urban mobility.

¡°To calculate accessibility to jobs by car considering congested traffic conditions, we utilize high frequency data from ¶¶Òõ¶ÌÊÓÆµ to compute travel times from any origin and destination within a given area. Due to cost constraints, it is uncommon to study car accessibility under congested conditions. Thanks to the Development Data Partnership with ¶¶Òõ¶ÌÊÓÆµ, we obtained the required data.¡±?
Geographic accessibility of jobs, considering congested traffic conditions using ¶¶Òõ¶ÌÊÓÆµ?Traffic data.

Reducing congestion in Lima using ¶¶Òõ¶ÌÊÓÆµ Traffic Data

¶¶Òõ¶ÌÊÓÆµ Traffic also informed the development of a 10-year urban mobility strategy for Lima, Peru. In 2022 the city was ranked the fourth most congested metropolitan area in the world, highlighting the need for changing mobility patterns. However, it was challenging for analysts to access adequate data to analyze traffic behavior across the rapidly growing city.

In collaboration with ¶¶Òõ¶ÌÊÓÆµ and other location technology partners, the World Bank¡¯s Transport Global Practice developed a transportation database for the ¡°¡± project. The team mapped trips between city zones, average travel distances and times, speeds, and congestion hotspots. This analysis enabled local authorities with location insights for reducing congestion, improving job access, and optimizing public and non-motorized transit. Improving travel times will directly support an estimated two-thirds of the economic benefits identified in the 10-year urban transport program¡¯s first phase.

¡°Understanding and optimizing actual traffic patterns requires specialized data that is very expensive to collect. Accessing ¶¶Òõ¶ÌÊÓÆµ Traffic Data through the Development Data Partnership has made it possible for researchers and project teams to conduct more nuanced and detailed analysis than previously available to them.¡± ¨C Claudia Calderon, Partnerships Lead, Development Data Partnership
A dedicated bike line in Lima¡¯s Puente Villena neighborhood. (Image credit: Myriam B/Shutterstock.com)

Enhancing service accessibility in European towns and villages?

In the European Union, towns and villages face demographic challenges such as population decline, aging populations, and rural depopulation. Half of all villages and more than 40% of towns have lost population. The OECD used the to inform its project .

The team used the ¶¶Òõ¶ÌÊÓÆµ Isochrone API to map drive-time polygons around towns and villages to assess the availability of services accessible within a 30-minute drive. Using the ¶¶Òõ¶ÌÊÓÆµ Isochrone API meant that the drive-time polygons actually followed the road network, instead of only a simplified straight line distance, allowing for a more nuanced and realistic analysis of the availability of services. The research revealed that isolated towns often develop more local services to compensate for their isolation, confirmed demographic challenges such as aging populations and rural depopulation, and underscored the need to strengthen local services in remote areas to improve access to healthcare and education.

Analysis compared travel-time to the nearest city in both the United States and Europe.

Identifying healthcare gaps in Lithuania

Another project focused on demographic change , where rapid social and economic changes have challenged healthcare delivery. The Regional Development and Multilevel Governance (RDG) Division of the Centre for Entrepreneurship, SMEs, Regions, and Cities (CFE) at the OECD, used the to evaluate access to primary healthcare (PHC) and long-term care (LTC). By overlaying realistic travel-time isochrones with population grids, researchers pinpointed service gaps and identified areas in need of investment.

Visualization of travel time to care in Taurag? zone

Innovating with ¶¶Òõ¶ÌÊÓÆµ location data

Each year, every Development Data Partnership project that uses ¶¶Òõ¶ÌÊÓÆµ data further illuminates the potential of location data when applied to some of the world¡¯s most pressing challenges. From improving rural service accessibility to enhancing road safety, ¶¶Òõ¶ÌÊÓÆµ equips researchers, governments, and businesses with insightful and valuable location data.?

¡°Through the generous support of the ¶¶Òõ¶ÌÊÓÆµ Data team in 2024, the Development Data Partnership has been able to support a wide range of impactful projects. We look forward to continued collaboration with ¶¶Òõ¶ÌÊÓÆµ as we expand the use of both established and innovative research techniques using ¶¶Òõ¶ÌÊÓÆµ¡¯s uniquely valuable location data.¡± ¨C Claudia Calderon, Partnerships Lead, Development Data Partnership

Learn more about the and connect with ¶¶Òõ¶ÌÊÓÆµ about other ways that ¶¶Òõ¶ÌÊÓÆµ data can support impactful research projects.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.