考虑到不确定的可用性和智能手机活跃度,自由浮动服务的访问距离

IF 3.3 2区 工程技术 Q2 TRANSPORTATION
Ziang Yao, Jan-Dirk Schmöcker
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引用次数: 2

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Access distance to free-floating services considering uncertain availability and smartphone activeness
ABSTRACT The rapid growth of free-floating sharing services is seen as a key solution to urban mobility problems; however, the wider acceptance and adaptation is critically depending upon the ease of access. The aim of this research is to quantify the access distance to free-floating services considering the density and distribution of travellers and bicycles. Our main focus the effect of different information-seeking and reservation strategies on the travellers. We distinguish those who use smartphone actively during travelling from those who only check the availability before the journey. An agent-based discrete-event simulation (DES) is developed, from which we find that 1. All travellers being active in seeking feasible bicycles do not necessarily lead to better system performance. 2. Enabling reservations can lead to longer average travel times, especially longer walking time. 3. When increasing the bicycle supply or reservation rate, the reliability of accessing desired bicycles can first increase then drop.
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来源期刊
Transportmetrica B-Transport Dynamics
Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
5.00
自引率
21.40%
发文量
53
期刊介绍: Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”. Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data. The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.
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