A Mobility Equity Metric for Socially Optimal Emerging Mobility Systems

The data are used to build the Mobility Equity Metric Dashboard.

https://horatioj.shinyapps.io/MobDashboard/

Where the source code is available at https://github.com/Horatioj/MobilityDashboard

To reproduce the MEM calculation results, please refer to the file named MEMcode_sample.zip.

The following describes folder structure, csv files store calculated results (MEM & MI):

• MobDashboard
  • data
    • transport flow and O/D matrix
  • Metric_data
    • MEM for transport network
  • www
    • introduction page pictures
  • bs_memresult1k.csv: Boston MEM results by different combinations
  • bs_merged_geoid_comm_data.csv: Boston geographic layer at neighborhood level and census data
  • bs_miresults.csv: contains MI in Boston (percentages of different service types refer to the weights toward MI)
  • dc_10.csv: contains Washington DC geometry and census data
  • flow_combine.csv: routes in Boston transport network, geometry data, from osrm
  • dc_memresult1k.csv: DC MEM combinations
  • dc_miresults.csv: DC mobility index
  • styles.css: shiny ui.

The results for Los Angeles and New York City are in a similar file name. We used Python to derived them.

This dashboard is mainly based on work from Routing in Mixed Transportation Systems for Mobility Equity， A Mobility Equity Metric for Multi-Modal Intelligent Transportation Systems & On Mobility Equity and the Promise of Emerging Transportation Systems.