Trips Production in Khartoum State

T. O. Medani, A. M. S. Zeidan, A. El Niema
{"title":"Trips Production in Khartoum State","authors":"T. O. Medani, A. M. S. Zeidan, A. El Niema","doi":"10.53332/kuej.v7i1.992","DOIUrl":null,"url":null,"abstract":"The rapid increase in population, fast urbanization and change, high demand for public transport in Khartoum State necessitates development of a proper transportation plan for the state, to enable predicting the impacts that various policies and programs will have on travel. Travel demand forecasting is an essential part of the transportation planning process and trip production is the first step in the concept of four steps travel demand model. In this paper a model for trip production in Khartoum State is proposed. The trip generation model is based on data collected by the Ministry of Infrastructures and Transportation and a consultant in the period 2008-2011. The exclusion of incomplete data and outliers and the consideration of the car ownership in the development of the model, has resulted in a more realistic estimate of the number of trips produced than those predicted by the currently adopted model of Khartoum State. The results of this study predict the number of daily trips in the year 2035 at 9.56 million person-trips, creating a demand of 6.69 million person-trip/days to be covered by public transport. This will necessitate huge investments in mass transit systems to accommodate the uprising demand.","PeriodicalId":23461,"journal":{"name":"University of Khartoum Engineering Journal","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"University of Khartoum Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53332/kuej.v7i1.992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The rapid increase in population, fast urbanization and change, high demand for public transport in Khartoum State necessitates development of a proper transportation plan for the state, to enable predicting the impacts that various policies and programs will have on travel. Travel demand forecasting is an essential part of the transportation planning process and trip production is the first step in the concept of four steps travel demand model. In this paper a model for trip production in Khartoum State is proposed. The trip generation model is based on data collected by the Ministry of Infrastructures and Transportation and a consultant in the period 2008-2011. The exclusion of incomplete data and outliers and the consideration of the car ownership in the development of the model, has resulted in a more realistic estimate of the number of trips produced than those predicted by the currently adopted model of Khartoum State. The results of this study predict the number of daily trips in the year 2035 at 9.56 million person-trips, creating a demand of 6.69 million person-trip/days to be covered by public transport. This will necessitate huge investments in mass transit systems to accommodate the uprising demand.
喀土穆州旅行生产
喀土穆州人口的快速增长,快速的城市化和变化,对公共交通的高需求需要为该州制定适当的交通计划,以便预测各种政策和计划将对旅行产生的影响。出行需求预测是交通规划过程的重要组成部分,而出行生成是四步出行需求模型概念的第一步。本文提出了喀土穆州旅行生产模型。出行生成模型基于基础设施和运输部以及一位顾问在2008-2011年期间收集的数据。由于在制订模型时排除了不完整的数据和异常值,并考虑到汽车拥有量,因此对旅行次数的估计比目前采用的喀土穆州模型所预测的次数更为现实。研究结果预测,到2035年,每天的出行人次将达到956万人次,公共交通的需求将达到669万人次/天。这将需要对公共交通系统进行巨额投资,以适应不断增长的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信