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Road Network Design in a Developing Country Using Mobile Phone Data: An Application to Senegal
IEEE Intelligent Transportation Systems Magazine ( IF 4.3 ) Pub Date : 2020-01-01 , DOI: 10.1109/mits.2018.2879168 Yihong Wang , Goncalo Correia , Erik de Romph , Bruno F. Santos
IEEE Intelligent Transportation Systems Magazine ( IF 4.3 ) Pub Date : 2020-01-01 , DOI: 10.1109/mits.2018.2879168 Yihong Wang , Goncalo Correia , Erik de Romph , Bruno F. Santos
This study uses mobile phone data to understand mobility patterns in a country, with limited mobility data, in order to give advice about decisions on how to design the national and regional road network. Our method consists of three parts: (1) filtering mobile phone traces to derive mobility patterns, (2) building an adapted formulation of the gravity-based trip distribution model, which considers telecommunication intensity (i.e., aggregate number of calls and text messages) and travel time as input to forecast the influence of road improvements on country-wide mobility, and (3) optimizing the road network investment based on the adapted trip distribution model by using a local search algorithm. The method was applied to the case study country of Senegal. The mobile phone data was transformed to support informed decisions on road network development in that country given different objectives, namely accessibility and equity. We believe that the methodology is valuable and reproducible to other countries where traditional mobility data is scarce but mobile phone data is available to transport planners.
更新日期：2020-01-01
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