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.
- data
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.
Award:
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License: AFL-3.0
Submitted by Andreas Malikopoulos
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