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Geo-spatial Data

How does accessibility re-frame our projects?

Tatiana Peralta Quiros's picture
The increasing availability of standardized transport data and computing power is allowing us to understand the spatial and network impacts of different transportation projects or policies. In January, we officially introduced the OpenTripPlannerAnalyst (OTPA) Accessibility Tool. This open-source web-based tool allows us to combine the spatial distribution of the city (for example, jobs or schools), the transportation network and an individual’s travel behavior to calculate the ease with which an individual can access opportunities.

Using the OTPA Accessibility tool, we are unlocking the potential of these data sets and analysis techniques for modeling block-level accessibility. This tool allows anyone to model the interplay of transportation and land use in a city, and the ability to design transportation services that more accurately address citizens’ needs – for instance, tailored services connecting the poor or the bottom 40 percent to strategic places of interest.

In just a couple of months, we have begun to explore the different uses of the tool, and how it can be utilized in an operational context to inform our projects.
 
Employment Accessibility Changes in Lima,
Metro Line 2. TTL: Georges Darido

Comparing transportation scenarios
The most obvious use of the tool is to compare the accessibility impacts of different transportation networks. The tool allows users to upload different transportation scenarios, and compare how the access to jobs changes in the different parts of the city. In Lima, Peru, we were able to compare the employment accessibility changes that were produced by adding a new metro line. It also helped us understand the network and connectivity impacts of the projects, rather than relying on only travel times.

Understanding spatial form
However, the tool’s uses are not limited to comparing transport scenarios. Combining the tool with earth observation data to identify the location of slums and social housing, we are to explore the spatial form of a city and the accessibility opportunities that are provided to a city’s most vulnerable population.  We did so in Buenos Aires, Argentina, were we combined LandScan data and outputs from the tool to understand the employment accessibility options available to the city’s poorest population groups.

How cellphones helped to dramatically reduce new cases of Dengue fever in Pakistan

Ravi Kumar's picture
Photo: Johan Larsson/CC


“This dengue has become a calamity,” Saad Azeem said in September 2011. He wasn’t exaggerating. Azeem, a 45 year-old police officer, was “at home suffering from the fever and mourning the death of his elderly father.”
 
Sadly this wasn’t the case just for Azeem. Everyone was affected in Lahore, the capital of Punjab, the most populous province of Pakistan. The fever didn’t discriminate. Dengue mosquitoes were affecting the poor and the rich, the old, and the young. Out of more than 12,000 people who were infected in Pakistan, at least 10,000 resided in Lahore.
 
It was a disaster.

Building a Better Toolbox for Development

Soren Gigler's picture

 

Every day we are reminded that the challenges faced in eradicating poverty are multifaceted and include complex economic, social, political, and cultural dimensions. For this reason, we work with a number of partners and experiment with many technologies to try and leverage the right community with the right skills and tools to address a given challenge.