Investigating User Ridership Sentiments for Bike Sharing Programs

Bike sharing is considered a state-of-the-art transportation program. It is ideal for short or medium trips providing riders the ability to pick up a bike at any self-serve bike station and return it to any bike station located within the system’s coverage area. The bike sharing programs in the United States are still very young compared to those in European countries. Washington DC was the first jurisdiction to devise a third generation bike sharing system in the US in 2008. To evaluate the popularity of a bike sharing program, a sentiment analysis of the riders’ feedback can be performed. Twitter is a great platform to understand people’s views instantly. Social media mining is, thus, gaining popularity in many research areas including transportation. Social media mining has two major advantages over conventional attitudinal survey methods—it can easily reach a large audience and it can reflect the true behavior of participants because of the anonymity social media provides. It is known that self-imposed censor is common in responding to conversational attitudinal surveys. This study performed text mining on the tweets related to a case study (Capital Bike share of Washington DC) to perform sentiment analysis or opinion mining. The results of the text mining mostly revealed higher positive sentiments towards the current system.

Inspiration of “Internet + Shared bike” for Healthy Exercise of University Students

As the economy and technology keep growing,the mode of shared bikes gains popularity under these circumstances.At the current period,university students become fond of using shared bikes,which changes body health and life style of university students.When this mode combines the characteristics and functions of shared bikes,it has a great impact on the awareness and motivation of work-out of university students.Supported by Internet technology,shared bikes meet the need of people that they can use them at any time,which is new and innovative to the university students.This article provides university students with shared bike service in campus by analyzing the influence of“Internet+shared bike”on health and sports of university students.It will promote the effective application of shared bikes.

Research on the Traveling Characteristics and Comparison of Bike Sharing in College Campus-A Case Study in Hangzhou

Bike sharing emerging from college campus in China's Mainland has become a major part in the daily traveling of Chinese urban residents.It changes the traveling behavior of urban residents,and simultaneously,raises higher requirements on urban transportation facility construction and management.However,the return of bike sharing to college campus causes more troubles to schools.The fundamental cause is the closed peculiarity of campus traveling comparing with city traveling,and also the discrepancy between college campuses of different types.This paper investigates the traveling characteristics of bike sharing in college campus in three different locations in Hangzhou City,Zhejiang Province of China in the questionnaire,and compares the discrepancy with urban bike sharing traveling characteristics and the discrepancy in bike sharing use between college campuses of different types.From the perspective of parking,maintenance and operation,and hardware design,the paper eventually raises suggestions to optimize independent college campus bike sharing service facility and management consistent with urban system.The research may also offer beneficial reference to the release of bike sharing facilities consistent with urban system in all sorts of independent parks,especially college campus.

Analysis of Financial Accounting Problems Based on Sharing Economy——Taking Bike Sharing as an Example

Bike sharing is a new type of"Internet+"model.At present,China has not yet introduced relevant Internet operating systems and accounting standards.There is still a big problem in the financial accounting and processing of the bike sharing platform.This paper firstly summarizes the development status of bike sharing,then analyzes the related financial accounting problems of bike sharing with the example of Mobike,and points out the main problems faced by the financial accounting of bike sharing short-time rental model,and finally proposes countermeasures for the financial accounting of bike sharing short-time rental model.

Determination of the Size of a Proposed Bike-Sharing Program in Las Vegas, Nevada

Bike-share systems have been installed in cities worldwide as a way to attract travelers to use transit rather than the automobile. This has been proved to be an effective way of mitigating congestion on the road. The objective of this study is to develop a method to determine the size of the bike-share program in terms of the number of bicycles, the number and location of the stations, the number of docks at each station. To achieve the objectives of this study, a literature review was conducted on university bike-sharing systems in the U.S. and abroad. Various cases of bike-share programs were analyzed, in which each case consisted of a different number and location of bike-share stations. The demand corresponding to these stations was used as the input to a simulation model developed in this study to determine the number of docks in stations and bicycles in the system on and around campus at UNLV. These sizing parameters of the bike-share system then were used in a cost and benefit analysis to determine which cases could achieve maximum benefit, given a limitation of the initial costs. It was found that provision of one peripheral station and three internal stations at strategic locations provide relatively higher benefit cost ratio at lower initial cost.

Analysis and O-D Demand Estimation of a Public Bike-Sharing Program in Las Vegas

Bike-share systems are an effective way of mitigating congestion on the road. In addition, bike-share systems have been built in universities to serve for trips to work/commuting as well as the trips on campus. In Las Vegas, a bike-share system was proposed at the University of Nevada, Las Vegas. This study analyzed factors that influence the usage of bike-share program and estimated the origin-destination demand. To achieve these objectives, first, a literature review was conducted on university bike-sharing systems in the U.S. and abroad. Then, a survey with a questionnaire was distributed to UNLV to obtain the users’ preferences to the locations of the proposed bike-share stations and their likelihood and frequency to use the bike-share program. In total, 241 faculty, staff, and students responded to the survey. About 50% of those participating in the survey expressed willingness to use the bike-share system for commuting and 60% said they are willing to use bike share for on-campus travel. Commuting and on-campus travel are two different types of travel, and the factors to determine whether an individual would use the bike-share system are quite different for each. It was estimated that there would be 3450 members for a bike-share program at UNLV, each making bicycle trips with varying frequencies, producing 1966 trips per day.

共享单车减量回收路径优化模型及求解研究

为解决共享单车的过量投放回收清理工作任务量大问题,本文从交通运输执法者角度出发,对超配额的共享单车进行减量回收。考虑到共享单车站点在空间分布具有零散性会影响单车回收工作的效率,以车辆回收距离最小化为目标,建立多中心的共享单车减量回收路径优化模型。基于遗传算法,设计符合模型的求解算法。以包头市共享单车系统为例进行实证分析,结果表明,该模型及求解算法能缩短车辆回收距离,有效提高共享单车减量回收效率,节约了交通运输管理部门的人力物力。

电子围栏背景下共享单车停车行为影响特征分析

单车规范停放问题影响着共享单车系统的可持续发展,而设置电子围栏是促进单车停放规范化的重要手段。用户在电子围栏背景下规范停车行为的影响机理是制定停放管理政策的基础。基于用户停车选择行为问卷调查的结果,在二项Logit模型的基础上,结合调查数据特征建立固定效应选择模型、非对称选择模型等多个停车行为选择模型,探究各类特征对用户停车行为的影响。结果显示,用户的年龄、职业、收入等社会经济特征,用户在平常使用共享单车的时段、时长、频率及停放困难频率等共享单车出行特征,具体在停车场景下合规停放的绕行距离和违规停放的罚款金额等场景特征,均会显著影响用户合规停放的概率。模型结果可为电子围栏背景下的精细化管理提供用户行为定量分析基础。

基于大数据的厦门岛建成环境对共享单车起讫点分布的影响

不同城市肌理上的共享单车出行活动迥然相异.基于共享单车和兴趣点(POI)等多源数据,运用核密度和基于最优参数的地理探测器方法,分析厦门岛共享单车起讫点分布格局及建成环境对其影响作用.研究发现:(1)厦门岛共享单车的平均骑行距离为1.08 km,平均骑行时间为7.19 min.(2)起讫点在空间上总体呈现“一带多核”的分布特征.(3)建筑密度和人口密度是共享单车起讫点分布的核心驱动因子,中心可达性和道路交叉口密度则是主要驱动因子.(4)不同建成环境因子围绕2个核心因子形成协同增强效应,不同要素优化组合是共享单车发展的有效路径.

面向共享单车调配的带约束游牧算法研究

共享单车调配是优化城市交通资源配置的重要手段,但目前的最优路径调配方法往往对单车系统规模敏感。为此,研究一种分时段、区域间调配的共享单车投放方法,提出了带约束的游牧算法(nomad algorithm with constraints,NCA)求解调配模型的最优解。将单车调配问题建模为以单车流量为约束、以最小化运营损耗为目标的优化问题;提出求解上述模型的NCA算法,预测投放区域单车存量和区域间转移量,相比无约束的原游牧算法,改进了局部搜索和全局寻优策略,优化了部落初定位方法;基于预测的存量和转移量得出分时段区域间单车的调配方案。在上海和纽约相关数据集上的对比实验结果表明,运行时长约为其他方法的15%,租赁需求响应率高于分支定界算法0.15%,单车总数和运营损耗比遗传算法降低了约10%,验证了该方法具有更高的优化效率和用户需求响应率。

基于Markov过程天气预测的共享单车调度优化研究

针对某大学城共享单车资源分配不平衡问题,建立了与调度成本和用户满意度相关的单目标数学规划模型,对现有共享单车调度策略进行分析,并制定改善方案.通过调查问卷分析单车调度过程中存在的问题,利用Python获取单车的相关数据.在此基础上,基于齐次Markov过程对天气状况进行预测,采用LSTM时间序列对区域内未来单车数量的变化情况进行预测,利用遗传算法求解最优调度路径和调度数量,提出优化方案.通过敏感性分析验证本文所提方案的可行性.结果表明,优化后的调度方案缩短了单次调度时间并提高了用户的满意度,对共享单车管理部门具有指导意义.

考虑共享单车接驳的共享汽车站点选址模型构建及应用研究

共享汽车是共享经济背景下的一种绿色出行模式,它不但能满足人们出行用车需求,还能实现城市低碳绿色发展。但是,很多城市也出现了共享汽车站点布局不合理、站点汽车数量和用户需求不匹配、停车取车难等一系列问题。在组合出行的背景下,基于停车场、城市POI及出租车(包括快车)订单等多源数据,以最大化用户需求满足和最小化取车还车成本为目标,构建考虑共享单车接驳的共享汽车站点选址模型,并实证分析得到最优的站点布局。研究结果表明,从用户需求情况来看,在共享汽车站点最大服务范围一定的前提下,可以通过增加站点数量和共享单车可用率来提高用户需求,让共享汽车用户在出行时做到有车可用。从用户取还车便捷性来看,在共享汽车站点最大服务范围较大时,随着共享单车可用率的增加,用户使用取还共享汽车花费的时间明显减少。这在一定程度上说明共享单车可用率增加可有效提高共享汽车用户取还车的便捷性,缩短用户的取还车时间,提高其用车意愿。

城市建成环境对共享单车出行影响的时空特征——以深圳市为例

以深圳市为例,利用共享单车OD等多源数据,从工作日、休息日多时段分析共享单车出行时空特征,并构建基于客观物质空间、主观感知体验的建成环境“5Ds”指标,运用多尺度地理加权回归模型(MGWR)解析不同建成环境对共享单车出行流量影响的时空异质效应。研究表明:1)时间上,工作日和休息日早、晚高峰的共享单车出行流量较其他时段整体显著,且休息日较工作日的峰值时段具有滞后性;空间上,各峰值时段的出行流量高值区域呈“多核集聚、带状延伸”的分异格局;2)各建成环境要素对共享单车出行流量影响的时段差异显著。就业设施密度、围合度及人口密度在各时段均具有高解释度,其影响力整体呈全局显著特征,其余变量则在不同时段存在局部显著效应;3)各时段影响较为显著的变量在空间作用尺度上存在分异。就业设施密度与围合度的影响力在各时段的空间变化最为稳定,街道绿视率与人口密度在不同时段呈现差异化的空间分布特征。

厦门岛轨道交通站点共享单车接驳影响因素研究

共享单车凭借其高效便利的优势在全国各大城市快速普及,已成为轨道交通站点重要的接驳方式,但其供需失衡、乱停乱放等问题也给城市交通与环境带来挑战。利用厦门市共享单车及城市空间等多源大数据,通过Python、GIS解析共享单车出行的时空特征,探究轨道站域骑行特征及其来自土地利用、城市建成环境等方面的影响效应,结果表明:共享单车具有短时空距离利用的特征,为城市地铁站点的接驳交通提供了重要支撑;站点周边共享单车的接驳利用受城市多种因素影响,同时也反映了站点开发的阶段性和差异性;根据共享单车出行特征,轨道交通站点可归纳为四类,应根据站点的不同类型因站施策,完善城市慢行系统,促进共享单车骑行,加强轨道交通站域开发。

基于MIMIC模型的互联网租赁电动自行车使用意向研究

为探究居民对互联网租赁电动自行车使用意向的影响因素及作用机理,以计划行为理论(TPB)、技术接受模型(TAM)和感知风险理论(PR)为基础,采用多指标多原因(MIMIC)模型,构建了居民对互联网租赁电动自行车的使用意向模型;选择西安市居民为研究对象,采用调查问卷的方式获得618份有效样本,通过构建MIMIC模型进行实证分析。研究结果表明:态度、主观规范、感知有用性和感知风险对使用意向有显著的直接影响;态度和感知有用性作为中介变量,主观规范、感知易用性和感知风险通过态度或感知有用性间接影响使用意向;性别、年龄等个人属性可通过调节心理感知因素间接影响使用意向,其中男性、学历为硕士及以上、家庭结构为2人家庭以上和刚性出行的居民更愿意选择使用互联网租赁电动自行车。研究结论可为城市管理部门和运营企业发展互联网租赁电动自行车提供理论支撑。

基于云端数据分析的共享电单车起火原因分析技术研究

共享电单车具有运行数据采集和云端记录功能,揭示云端数据随起火部位及引燃模式的变化规律,可为起火原因认定和产品质量管理提供新依据。本文通过明火引燃、动力电池热失控整车燃烧试验和电气线路短路故障试验,研究共享电单车起火燃烧过程中云端数据的V-t曲线特征和变化规律。结果表明:明火及短路会导致数据传输线路断开,整车电压数据出现骤降后快速降至0,电压下降速度可超过500.56 mV/s;动力电池热失控后,整车电压数据出现骤降后缓慢下降,电压下降速度为20.02 mV/s,并在下降过程中出现短期的电压回升现象。开展共享电单车的火灾调查时,可通过调取云端数据分析V-t曲线特征的方法,为起火原因认定工作提供线索。

昆明市呈贡区共享单车微生物污染情况及清洁方法

目的分析昆明市呈贡区共享单车细菌污染情况及骑行前后手部细菌污染情况,并对手卫生效果进行评价。方法随机抽样调查2022年12月至2023年3月昆明市呈贡区10个地铁站的共享单车,对其车把手采样,培养观察并进行微生物多样性分析。用不同的清洁方式洗手后,进行手部带菌情况检测。结果地铁站共享单车微生物菌落总数均值为[1380(570,3310)CFU/25 cm^(2),且检测出恶臭假单胞菌等细菌。共享车骑行前后手部菌落总数比较,差异有统计学意义(P<0.05);洗手液,免水洗凝胶,蒸馏水与不洗手组间菌落数比较,差异有统计学意义(P<0.05);洗手液,免水洗凝胶和蒸馏水组间菌落数比较,差异有统计学意义(P<0.05);洗手液和免水洗凝胶组间菌落数比较,差异无统计学意义(P>0.05)。结论共享车存在污染,骑行过程会增加手部细菌的数量。洗手液、免水洗凝胶和蒸馏水均可一定程度减少细菌数量,建议相关政府部门尽快完善洗手台的建设和维护,引领大众提高健康素养。

建成环境对共享单车分时骑行量的非线性作用研究:以上海市为例

为解析建成环境对共享单车不同时段借还车量的非线性作用,本文以2016年上海摩拜共享单车和网络公开数据为基础,利用梯度提升决策树,建立共享单车工作日,非工作日及工作日早、晚高峰借还车量模型。研究结果显示:变量影响程度方面,街道至市中心距离对4个时段共享单车借还车量具有稳定且突出的作用,相对重要度超过17%;路网密度、非机动车道占比、人口密度影响次之,但在4个时段作用波动较大。非线性关系方面,街道至市中心距离、非机动车道占比、人口密度、就业POI(Point of Interest)密度与各时段共享单车借还车量呈复杂非线性关系,阈值效应显著;路网密度、住宅POI密度则与之总体负相关和正相关。同时段下,建成环境对早晚高峰时期的共享单车借还车量非线性作用差异明显,与高峰时期单车骑行的潮汐性特征相一致,非机动占比与街道中心邻近度、就业POI密度对高峰时段单车骑行作用有明显的协作性作用。

需求响应公交和共享单车联合出行系统与优化

需求响应公交运营过程中车辆行程时间存在随机性与乘客出行需求差异大的问题,本文设计了一套需求响应公交和共享单车联合出行系统,针对需求响应公交在服务过程中行程时间随机性的特点,通过极小极大值后悔法构建车辆行程时间不确定的鲁棒优化模型,同时考虑车辆运营成本与乘客出行成本,实现需求响应公交的路径优化与乘客出行方案的制定。针对模型求解难点,提出了一种基于场景的改进自适应大邻域搜索算法,通过不同规模的算例验证模型与算法的有效性与高效性,并对共享单车使用费率与时间价值设计了多组敏感性测试。结果表明:相较于传统的需求响应公交系统,联合出行系统降低总成本最高可达28.6%,同时可有效减少乘客平均出行时间;此外,传统需求响应公交系统受随机行程时间影响带来的成本高于需求响应公交和共享单车联合出行系统,成本增幅在2倍以上,共享单车的加入可以有效提升系统在随机行程时间环境下的抗干扰能力。

西安地铁与共享单车接驳利用率分析和优化

随着城市轨道交通的发展,为解决城市轨道交通出行中站间距离过大造成的“最后一公里”问题的困扰,对西安地铁一号线“B+R”即共享单车接驳的城市轨道交通方案进行了研究。以西安地铁一号线为例,采用问卷调查法、空间句法和案例分析法相结合系统分析使用共享单车接驳城市轨道交通的用户特点、车站周围辐射区域内的共享出行特点以及出行者基本状况等因素。结果表明:共享单车使用者年龄整体趋于年轻化,骑车时间多集中于10 min之内、骑车间距多分布在1 km之内;一号线客流量对共享单车的利用率存在着数量与时变特征两方面影响;通过增加街道之间的连接、优化街道路网结构和根据实际使用情况设计街道宽度等措施提高共享单车的使用率。