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Developing and Analyzing a Literature Library on Traffic Emissions, Air Quality, Exposures, and Health

The Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH) Literature Library is a resource for students, researchers, and practitioners interested in the area of transportation and health. I spent the past ten weeks developing and analyzing the library with the following goals in mind:

  • Provide users with an open-access hub of literature on ‘full-chain’ elements: traffic, emissions, air quality, exposures, and health, in addition to new technology
  • See which subjects the literature addresses most and least
  • Guide the development of future literature libraries
  • Encourage researchers to incorporate all ‘full-chain’ elements in their work to aid policymakers in their decision making process

I was able to accomplish these goals through literature collection, organization, and analysis of 686 relevant studies. But before I dive deeper into this process, I want to give some more background about the library. This library was started by Haneen Khreis (Ph.D.) who added an initial 500 studies to the library and conceived the idea of creating an Online Library Search tool, which helps users filter library studies for the most relevant articles. With her guidance, I was able to add 200 more studies to the collection, and the addition of studies will be ongoing. Currently, the library includes 865 relevant pieces of literature. The library contains useful information for each article, including APA citation, a URL link to the full article or abstract, published year, type of paper, and literature topic(s) and study type(s). The library and online search tool are both available at: https://www.carteeh.org/carteeh-literature-library/.

I began library development by collecting studies via expert knowledge/colleague recommendation, email list subscriptions, and a non-systematic literature search. Then, as articles were collected for the library, I saved each PDF in a shared file and input them in the library. The articles were categorized based on the literature topic(s) and study type(s) addressed and marked in the library accordingly. Literature topics include the full-chain elements, in addition to technology. Study types include measurement, modeling, practice/policy, and review. It is important to understand categorization for these two areas is not mutually exclusive. In other words, a certain article may cover more than one topic or study type.

For the analysis portion, I investigated the following:

  • The number of studies addressing each individual literature topic
  • The number of studies addressing all five elements of the full-chain
  • The number of studies addressing each individual literature study type
  • Distribution of studies by literature source
  • Distribution of studies by publication year
  • Distribution of studies by literature topic and publication year
  • Distribution of years that literature library studies addressing all five elements of the full-chain have been published

The results of these analyses are shown below:






The graphs above display the distribution of library studies according to literature topic, study type, source, publication year, and the distribution of studies across both publication year and literature topic. The quantitative data is visualized, providing a better understanding of the content included in the library thus far. The library’s characteristics are dynamic due to the ongoing addition of new literature.

In addition to quantitative analyses, a qualitative analysis was performed using NVIVO software. All 686 studies were input to this tool, and a word cloud was generated to identify the 70 most frequently used terms with at least 5 letters across each article’s full text. Irrelevant terms, such as “because”, “including”, “however”, “table”, and “through” were added to a ‘Stop Word’ list and manually excluded from the Word Cloud. This visual displays frequently used words, such as “exposure”, “health”, and “pollution” to name a few, and is shown below.

These analyses have provided insight as to where the literature is clustered as well as where it is missing, and identifies knowledge and research gaps. This information highlights areas that can be addressed in future studies to fill the current gaps.

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