;;Allocation of Ridesharing Facilities Using a Shareability Assessment Model” Case Study: Ann Arbor, Michigan

ridesharing;ridematching;shareability;python;Natural Resources and Environment

Bahrani Fard, ZaraQu, Shen ;

University of Michigan

关键词: ridesharing;    ridematching;    shareability;    python;    Natural Resources and Environment;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/136568/Zahra%20Bahrani%20Fard_%20Thesis.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

With the increased environmental awareness during recent years, more peopleare aware of the social and environmental burdens of car transits. Meanwhile,emerging trends in science and society have increased the demand for improvingmobility-as-a-service (MAAS). These services can reduce Green House Gas(GHG) emissions, decrease time and cost of travel, improve equity, enhancesafety, reduce congestion, and ensure sustainable economic growth. To achievesuch benefits, more investments are needed on the shared mobility systems.Ridesharing is a type of mobility services that let two or more people to share aride which is operated by a third party.By using the geographically coordinated vehicle trips’ data, this thesis develops aframework to find shareable trips and then, to allocate ridesharing stations. Theresults identify potential hot areas for forming ridesharing trips, optimum locationsfor ridesharing facilities (considering the available facilities assets in theproposed areas) and finally, a rough estimate of the potential impacts of theproposed system. Overall, findings of this research provide implications for policymakers, urban planners and ridesharing corporates to develop strategies toencourage ridesharing and to improve the quality of these services.This research shows that by locating six stations with a maximum wait time of 7.5minutes for ridesharing in the city of Ann Arbor in the proposed areas, 97% of allurban trips can be shared. This system has a potential to save 2246 mile ofVehicle Mile Traveled (VMT) every day which can lead to cutting 39 gr of CH4, 8gr of N2O, and 923106 gr of CO2 from the current daily level of emissions.