Predicting the influence area of access and egress of commuter train based on survey data of travel behavior characteristics

Author:

Susanti A,Soemitro R A A,Suprayitno H

Abstract

Abstract The main objective of this research is to predict the influence area of the SULAM Commuter Train when heading (Access) and leaving (Egress) the train station. The research method was carried out using an interview survey of SULAM commuter train passengers on weekdays in the morning departure hours (06.00-07.20) from Lamongan - Surabaya. Data on distance travel and connecting modes obtained from interview surveys are important data for calculating the influence area of the SULAM Commuter Train. The two data above are analysis gaps from the research. The influence area obtained from the Access-Egress interval, which is mostly chosen by SULAM Commuter train passengers, while data that is not widely selected can be ignored and considered as underserved territory. The value of the influence area can be viewed from each type of connection and is the renewal of this study. Planning new routes in underserved areas is a benefit of this research. Predictions about the influence area are important, given that the stretch of the commuter train service line in the city of Surabaya and its surrounding areas is still very limited.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference13 articles.

1. Changing travel behaviour in urban China: Evidence from Nanjing 2008–2011;Feng;Transport Policy,2017

2. The determinants of long distance travel in Great Britain;Dargay;Transportation Research Part A: Policy and Practice,2012

3. Bergen light rail–Effects on travel behaviour;Engebretsen;Journal of Transport Geography,2017

4. Potential for modal shift by passenger car and motorcycle users towards Bus Rapid Transit (BRT) in an Asian developing city;Satiennam;IATSS Research,2016

5. Evaluation the effect of mobile information services for public transportation through the empirical research on commuter trains;Matsumoto;Technology in Society,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3