{"title":"更快、更便宜、更清洁:评估城市交通","authors":"G. Salazar, João Pedro Silva, Bernardo Ribeiro","doi":"10.5220/0005446900430048","DOIUrl":null,"url":null,"abstract":"This work aims at systematically characterizing urban mobility. There are several possible approaches to the problem but this work focus on reducing commuting times and emissions using the current infrastructures and without increasing the cost to the end user and doing so in an effective and sustainable way. A set of pairs of destinations and origins was chosen to represent usual commutes and cover a significant area of a city. These locations were connected by car, motorcycle, public transportation, cycling and walking. The routes were performed in both directions at three different times of day which allowed for a better understanding of daily traffic variations. For each route and for each mode of transportation the route and time taken were collected and the emissions and cost were estimated. The data was treated to adjust the route and gradient difference between the collected data and actual roads. Measurements and estimates were compared and averaged for all the routes and for each means of transportation providing an overall view of the commutes. The different means of transportation were compared and the limit to which one mode has the advantage over another was evaluated, this advantage is however dependent on the chosen route.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"13 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Faster, cheaper, cleaner: Assessing urban mobility\",\"authors\":\"G. Salazar, João Pedro Silva, Bernardo Ribeiro\",\"doi\":\"10.5220/0005446900430048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims at systematically characterizing urban mobility. There are several possible approaches to the problem but this work focus on reducing commuting times and emissions using the current infrastructures and without increasing the cost to the end user and doing so in an effective and sustainable way. A set of pairs of destinations and origins was chosen to represent usual commutes and cover a significant area of a city. These locations were connected by car, motorcycle, public transportation, cycling and walking. The routes were performed in both directions at three different times of day which allowed for a better understanding of daily traffic variations. For each route and for each mode of transportation the route and time taken were collected and the emissions and cost were estimated. The data was treated to adjust the route and gradient difference between the collected data and actual roads. Measurements and estimates were compared and averaged for all the routes and for each means of transportation providing an overall view of the commutes. The different means of transportation were compared and the limit to which one mode has the advantage over another was evaluated, this advantage is however dependent on the chosen route.\",\"PeriodicalId\":408526,\"journal\":{\"name\":\"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)\",\"volume\":\"13 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0005446900430048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0005446900430048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work aims at systematically characterizing urban mobility. There are several possible approaches to the problem but this work focus on reducing commuting times and emissions using the current infrastructures and without increasing the cost to the end user and doing so in an effective and sustainable way. A set of pairs of destinations and origins was chosen to represent usual commutes and cover a significant area of a city. These locations were connected by car, motorcycle, public transportation, cycling and walking. The routes were performed in both directions at three different times of day which allowed for a better understanding of daily traffic variations. For each route and for each mode of transportation the route and time taken were collected and the emissions and cost were estimated. The data was treated to adjust the route and gradient difference between the collected data and actual roads. Measurements and estimates were compared and averaged for all the routes and for each means of transportation providing an overall view of the commutes. The different means of transportation were compared and the limit to which one mode has the advantage over another was evaluated, this advantage is however dependent on the chosen route.