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 EquityA Mobility Equity Metric for Multi-Modal Intelligent Transportation Systems & On Mobility Equity and the Promise of Emerging Transportation Systems.

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License: AFL-3.0
Submitted by Andreas Malikopoulos on