Home-work carpooling for social mixing
Shared mobility is widely recognized for its contribution in reducing carbon footprint, traffic congestion, parking needs and transportation-related costs in urban and suburban areas. In this context, the use of carpooling in home-work commute is particularly appealing for its potential of lessening...
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2020
|
| Online Access: | https://hdl.handle.net/1721.1/126887 |
| _version_ | 1811075239251017728 |
|---|---|
| author | Librino, Federico Renda, Maria Elena Santi, Paolo Martelli, Francesca Resta, Giovanni Duarte, Fábio Ratti, Carlo Zhao, Jinhua |
| author2 | Massachusetts Institute of Technology. SENSEable City Laboratory |
| author_facet | Massachusetts Institute of Technology. SENSEable City Laboratory Librino, Federico Renda, Maria Elena Santi, Paolo Martelli, Francesca Resta, Giovanni Duarte, Fábio Ratti, Carlo Zhao, Jinhua |
| author_sort | Librino, Federico |
| collection | MIT |
| description | Shared mobility is widely recognized for its contribution in reducing carbon footprint, traffic congestion, parking needs and transportation-related costs in urban and suburban areas. In this context, the use of carpooling in home-work commute is particularly appealing for its potential of lessening the number of cars and kilometers traveled, consequently reducing major causes of traffic in cities. Accordingly, most of the carpooling algorithms are optimized for reducing total travel time, cost, and other transportation-related metrics. In this paper, we analyze carpooling from a new perspective, investigating the question of whether it can be used also as a tool to favor social integration, and to what extent social benefits should be traded off with transportation efficiency. By incorporating traveler’s social characteristics into a recently introduced network-based approach to model ride-sharing opportunities, we define two social-related carpooling problems: how to maximize the number of rides shared between people belonging to different social groups, and how to maximize the amount of time people spend together along the ride. For each of the problems, we provide corresponding optimal and computationally efficient solutions. We then demonstrate our approach on two datasets collected in the city of Pisa, Italy, and Cambridge, US, and quantify the potential social benefits of carpooling, and how they can be traded off with traditional transportation-related metrics. When collectively considered, the models, algorithms, and results presented in this paper broaden the perspective from which carpooling problems are typically analyzed to encompass multiple disciplines including urban planning, public policy, and social sciences. |
| first_indexed | 2024-09-23T10:02:56Z |
| format | Article |
| id | mit-1721.1/126887 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:02:56Z |
| publishDate | 2020 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1268872022-09-30T18:35:38Z Home-work carpooling for social mixing Librino, Federico Renda, Maria Elena Santi, Paolo Martelli, Francesca Resta, Giovanni Duarte, Fábio Ratti, Carlo Zhao, Jinhua Massachusetts Institute of Technology. SENSEable City Laboratory Massachusetts Institute of Technology. Department of Urban Studies and Planning Shared mobility is widely recognized for its contribution in reducing carbon footprint, traffic congestion, parking needs and transportation-related costs in urban and suburban areas. In this context, the use of carpooling in home-work commute is particularly appealing for its potential of lessening the number of cars and kilometers traveled, consequently reducing major causes of traffic in cities. Accordingly, most of the carpooling algorithms are optimized for reducing total travel time, cost, and other transportation-related metrics. In this paper, we analyze carpooling from a new perspective, investigating the question of whether it can be used also as a tool to favor social integration, and to what extent social benefits should be traded off with transportation efficiency. By incorporating traveler’s social characteristics into a recently introduced network-based approach to model ride-sharing opportunities, we define two social-related carpooling problems: how to maximize the number of rides shared between people belonging to different social groups, and how to maximize the amount of time people spend together along the ride. For each of the problems, we provide corresponding optimal and computationally efficient solutions. We then demonstrate our approach on two datasets collected in the city of Pisa, Italy, and Cambridge, US, and quantify the potential social benefits of carpooling, and how they can be traded off with traditional transportation-related metrics. When collectively considered, the models, algorithms, and results presented in this paper broaden the perspective from which carpooling problems are typically analyzed to encompass multiple disciplines including urban planning, public policy, and social sciences. 2020-09-01T21:23:13Z 2020-09-01T21:23:13Z 2019-07 2020-08-28T15:17:52Z Article http://purl.org/eprint/type/JournalArticle 0049-4488 1572-9435 https://hdl.handle.net/1721.1/126887 Librino, Federico et al. "Home-work carpooling for social mixing." Transportation (July 2019): doi.org/10.1007/s11116-019-10038-2 © 2019 Springer Science+Business Media, LLC en http://dx.doi.org/10.1007/s11116-019-10038-2 Transportation Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Science and Business Media LLC MIT web domain |
| spellingShingle | Librino, Federico Renda, Maria Elena Santi, Paolo Martelli, Francesca Resta, Giovanni Duarte, Fábio Ratti, Carlo Zhao, Jinhua Home-work carpooling for social mixing |
| title | Home-work carpooling for social mixing |
| title_full | Home-work carpooling for social mixing |
| title_fullStr | Home-work carpooling for social mixing |
| title_full_unstemmed | Home-work carpooling for social mixing |
| title_short | Home-work carpooling for social mixing |
| title_sort | home work carpooling for social mixing |
| url | https://hdl.handle.net/1721.1/126887 |
| work_keys_str_mv | AT librinofederico homeworkcarpoolingforsocialmixing AT rendamariaelena homeworkcarpoolingforsocialmixing AT santipaolo homeworkcarpoolingforsocialmixing AT martellifrancesca homeworkcarpoolingforsocialmixing AT restagiovanni homeworkcarpoolingforsocialmixing AT duartefabio homeworkcarpoolingforsocialmixing AT ratticarlo homeworkcarpoolingforsocialmixing AT zhaojinhua homeworkcarpoolingforsocialmixing |