Abstract:

Since its inception accessibility has undergone various changes in the way it is defined, measured, and modeled. The paper reviews the recent advancements made in the accessibility measures along with the models used in different applications of accessibility related to land use and transportation. The measures of accessibility are grouped under infrastructure-based, location-based, and person-based measures. The paper finds that although the person-based measures are statistically robust and theoretically sound, they are less preferred than the location-based measure in the accessibility measurement. The review finds recent development such as web based mapping and use of location based data; image mapping through convolutional neural networks; and activity-time constraints modeling in the measures of accessibility. Further, the paper reviews literature from the last five years that have used accessibility to study travel mode choices and household location choices and finds the use of three types of modeling framework - Statistical, Neural Network, and Agent Based models. Based on the literature review, this paper suggests the inclusion of environmental sustainability and gender equity in the accessibility measurement framework and a shift towards model synthesis to enhance the model accuracy and to reduce the present complexities in model building.

Key words: accessibility, travel behavior, household location choices, agent-based modeling, artificial neural network