Date for Design and Optimization of Multimodal Traffic Strategies for Low-Mobility Individuals

The data are the traffic volumes of the walking, non-vehicle based transportation, traveling by private car of different groups, which were obtained by assigning the actual multimodal travel demand matrixes (259×259) of different groups to different links. These matrixes were equal to the multimodal trip origin-destination of different groups divided by the proportion of respondents provided in the previous survey. The multimodal trip origin-destination of different groups and the proportion of respondents are found in our previous paper. In this excel file, there have five sheets, Sheet “traveling by private car” is the traffic volumes of traveling by private car, Sheet “non-vehicle of LI” is the traffic volumes of non-vehicle based transportation of low-income individuals, Sheet “non-vehicle” is the traffic volumes of non-vehicle based transportation, Sheet “walking of AD” is the traffic volumes of walking of older adults and individuals with disabilities Sheet “walking” is the traffic volumes of walking.