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Study on Estimation the Benefits of Transportation Investment Project Using the Consumer Surplus Benefit Method 基于消费者剩余效益法的交通投资项目效益估算研究
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.177
Teagyun Kim
The method of calculating benefits in terms of cost-benefit analysis in Korea applies a method of cost-saving benefit analysis. However, as a producer-oriented calculation method, cost-saving benefit analysis is limited in achieving accuracy because it fails to calculate benefits that are not selected as an item and benefits that occur indirectly. Hence, when applied to new modes of transportation that have been recently proposed for adoption, it fails to gain an advantage in terms of cost, and thus, faces the problem of calculating benefits in the form of minuses. Therefore, a method of calculating benefits based on demand function is required to more stably and accurately calculate benefits. The present study applied a user-oriented consumer-surplus benefit analysis method by using the logit model, which is a demand function applied in the modes choice process. The study induced a formula for defining the relationship between the logit model and the demand function and for calculating consumer-surplus benefits. The induced formula is able to calculate accurate benefits if the disparity in consumer surplus before and after implementation is calculated using the area of the demand function. The study made comparisons with cost-saving benefit calculation methods by converting calculated consumer surplus into forms of travel time/travel cost because initially calculated benefits are regarded as a unit of utility for consumer surplus. Furthermore, the study additionally considered benefit items that must be added as system cost items as well as non-choice mode benefit items which cannot be applied during consumer-surplus benefit calculation.
韩国的“成本效益分析”方法是“节约成本效益分析”方法。然而,成本节约效益分析作为一种面向生产者的计算方法,由于未能计算未被选为项目的效益和间接发生的效益,其准确性受到限制。因此,当应用于最近提议采用的新运输方式时,它不能在成本方面获得优势,因此,面临以减数形式计算利益的问题。因此,需要一种基于需求函数的效益计算方法来更加稳定、准确地计算效益。本研究采用以用户为导向的消费者剩余效益分析方法,采用logit模型,即在模式选择过程中应用的需求函数。本文推导出了定义logit模型与需求函数关系和计算消费者剩余效益的公式。如果利用需求函数的面积来计算实施前后消费者剩余的差距,则推导出的公式能够准确地计算出效益。本研究通过将计算的消费者剩余转换为旅行时间/旅行成本的形式,与节约成本的效益计算方法进行比较,因为最初计算的效益被视为消费者剩余的效用单位。此外,本研究还考虑了必须作为系统成本项目加入的效益项目,以及在消费者剩余效益计算中不能应用的非选择模式效益项目。
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引用次数: 0
Recurrent Congestion Severity Priority Analysis Methodology Based On Mobility Big-Data 基于交通大数据的经常性拥塞严重性优先级分析方法
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.164
Soongbong Lee
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引用次数: 0
Analyzing the Impact of Flight Delay on Commercial Revenues at Airport 航班延误对机场商业收益的影响分析
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.127
Jong Hae Choi
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引用次数: 0
Analysis of Aircraft Delay Factors at Jeju International Airport 济州国际机场航班延误因素分析
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.137
Youngeun Choi
Jeju International Airport is experiencing heavy congestion and delays due to the rapid increase of passengers. As of 2019, delays occurred in 24,052 aircraft, which account for over 14% of all flights operated. This delay rate is about 1.5 times higher than the average delay rate of 9% at domestic airports. The factors which bring delays at Jeju International Airport may include saturation of runway capacity, poor weather conditions, and limitations in facility layout. However, there are insufficient empirical studies on how these factors have affected aircraft delays. This study analyzed the effects of airport operation characteristics, weather conditions, and aircraft operation characteristics on aircraft delay using tower-log data of Jeju International Airport and Aeronautical Climatological Statistics of Jeju International Airport of Aviation Meteorological Office. The result of the analysis shows, aircraft movements per day, aircraft movements per hour, time of day, wind, route and aircraft occupancy rate have a statistically significant effect on aircraft delay, and the relative importance of variables appeared in the order of aircraft movements per day, wind, visual, and aircraft occupancy rate. In addition, these variables were analyzed to have a statistically significant effect on the delay time of aircraft. The results of this research are expected to be used as a basic data for aircraft delay management in airport planning and operation, and contribute to improve methodology of the feasibility study for airport projects.
济州国际机场因旅客剧增,出现了严重的拥堵和延误现象。截至2019年,有24052架飞机出现延误,占所有航班的14%以上。这一延误率比国内机场平均9%的延误率高出约1.5倍。造成济州机场航班延误的原因包括跑道容量饱和、恶劣的天气、设施布局的限制等。然而,这些因素如何影响飞机延误的实证研究还不够。本研究利用济州国际机场塔台日志资料和航空气象局济州国际机场航空气候统计资料,分析机场运行特征、天气条件和飞机运行特征对飞机延误的影响。分析结果表明,每天起降的飞机、每小时起降的飞机、每天的时间、风向、航线和飞机入住率对飞机延误的影响具有统计学意义,变量的相对重要性出现在每天起降的飞机、风向、目视和飞机入住率的顺序中。此外,这些变量对飞机延误时间的影响具有统计学意义。研究结果可作为机场规划与运营中飞机延误管理的基础数据,并有助于改进机场项目可行性研究的方法。
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引用次数: 2
Behavior Analysis of the Inter-city Highway Route Choice Model with Navigation Data 基于导航数据的城际公路路线选择模型行为分析
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.149
Hohyeon Nam
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引用次数: 0
Developing Evaluation Methodology of Progression for Signalized Arteries Using Car Trajectory Data 基于车辆轨迹数据的信号化动脉进展评估方法研究
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.192
Minji Kim
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引用次数: 0
Driving Behaviour Evaluation for Widening Lane Line Width on Expressways Using a Driving Simulator 基于驾驶模拟器的高速公路拓宽车道线宽驾驶行为评价
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.115
Kyeongjoo Kwon
Roadway lane lines can provide drivers not only information on the continuous flow of traffic movement but also helpful information for proper lane positioning. In the overseas, widening lane line width is applied to consider traffic safety (i.g. sudden curve section, black spot) for convenient to recognize by elderly drivers. In Korea, the lane line width on expressway is designed as 10-15cm, but some countries have tried and operated wider lane line width for high risk areas. However, since the thickness of the lane line width can have various effects depending on the section characteristics, it must be appropriately used according to the situation. In this study, the effects of widening lane line width on different expressway facilities (i.e. straight sections, curved sections, and off-ramp) were evaluated to enhance traffic safety. Driving simulation experiments were conducted to analyze driving behaviour and performance based on changes of lane line width. Two groups of participants were formed based on age 50 to reflect the characteristics of the elderly drivers. The results showed that non-elderly drivers under 50 ages improved longitudinal safety in daytime in mainline straight sections. Also, semi-elderly drivers over 50 ages were found to be performing safety driving behaviour in off-ramp. The results derived from this study are expected to provide helpful insights to traffic engineers and policy makers to improve expressway safety.
道路车道线不仅可以为驾驶员提供连续的交通流动信息,还可以为驾驶员提供正确的车道定位信息。在国外,为了方便老年驾驶员识别,在考虑交通安全(如急转弯路段、黑点)的情况下,采用拓宽车道线宽的方法。在国内,高速公路的车道宽度设计为10 ~ 15cm,但一些国家在高风险地区尝试了更宽的车道宽度。但是,由于车道线宽的厚度会根据路段特性产生各种影响,因此必须根据情况适当使用。本研究评估了加宽车道线宽度对不同高速公路设施(即直线段、弯曲段和出口匝道)的影响,以提高交通安全。通过驾驶仿真实验,分析了车道线宽变化对车辆驾驶行为和性能的影响。为了反映老年司机的特征,根据50岁的年龄分成了两组。结果表明,50岁以下非老年驾驶员在干线直行路段白天的纵向安全性提高。此外,50岁以上的半高龄司机也在出入口进行安全驾驶。本研究的结果可望为交通工程师和政策制定者提供有益的见解,以改善高速公路的安全。
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引用次数: 0
A Study on Cross-Border e-commerce with Logistics Service Quality Impact on Customer Satisfaction Using AHP Technique 基于AHP技术的跨境电子商务物流服务质量对顾客满意度影响研究
Pub Date : 2021-04-30 DOI: 10.7470/JKST.2021.39.2.204
Hyunmi Oh
In the past, only large-scale companies were able to gain the benefit of international trade based on their capabilities and resources, but even relatively small and medium-sized enterprises (SMEs) have been able to trade through e-commerce due to the help of Information and Communication Technology (ICT). Cross Border Trade (CBT) is one of the trends driving the borderless world of e-commerce. As a result, Cross-border trade orders have skyrocketed around the world which is led by an increasing amount of people are shopping online across the borders. Now, it has become a great concern to provide logistics services to meet the demand for anytime, anywhere trade transactions and activities seamlessly. While customers always want a higher level of customer satisfaction, logistics companies are not able to accommodate all of their customers’ needs with their scarce resources, losing out on the chance to increase revenue generation. In order to meet the customer’s needs in the cross-border trade (CBT), it is important to explore which logistics quality attributes are recognized as important to customers and to reflect the results in corporate decision making. Therefore, this study seeks to explore which of service quality attributes constituting the logistics service are recognized as important and to identify the relationship between importance and necessity. To conduct this study, the Analytic Hierarchy Process (AHP) and preliminary studies related to logistics service quality were referenced and reviewed. The survey was conducted by dividing the selected groups into sellers (customers) and logistics companies (providers). Results obtained were processed using AHP to comprehensively review and analyze the results of the two groups. By defining the factors that make up the quality of logistics services and identifying the relative importance of each factor, we contributed to prioritize service criteria to consider for improvement or innovation of logistics service quality. Accordingly, it would be a good reference for logistics companies to meet customer’s demand in an efficient allocation of resources by identifying the perception gap.
在过去,只有大型公司才能凭借其能力和资源获得国际贸易的利益,但即使是相对较小的中小企业(SMEs)也能够通过信息通信技术(ICT)的帮助进行电子商务贸易。跨境贸易(CBT)是推动电子商务无国界发展的趋势之一。因此,跨境贸易订单在全球范围内飙升,这是由于越来越多的人在跨境网上购物。如今,如何提供物流服务,无缝地满足随时随地的贸易交易和活动需求,已成为人们关注的焦点。虽然客户总是想要更高水平的客户满意度,但物流公司无法以其稀缺的资源满足客户的所有需求,从而失去了增加收入的机会。为了满足客户在跨境贸易中的需求,探索哪些物流质量属性对客户来说是重要的,并将其结果反映在企业决策中是很重要的。因此,本研究旨在探讨构成物流服务的哪些服务质量属性被认为是重要的,并确定重要性和必要性之间的关系。为了进行这项研究,本文参考并回顾了层次分析法(AHP)和与物流服务质量相关的初步研究。该调查将选定的群体分为卖家(消费者)和物流公司(供应商)。所得结果采用层次分析法对两组结果进行综合回顾和分析。通过定义构成物流服务质量的因素,并确定每个因素的相对重要性,我们有助于优先考虑服务标准,以改进或创新物流服务质量。因此,识别感知差距对物流企业满足客户需求,有效配置资源具有很好的参考意义。
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引用次数: 0
Choice Behavior Analysis for Feeder Modes on First and Last Mile with Qualitative Factors 考虑定性因素的首末段馈线模式选择行为分析
Pub Date : 2021-02-28 DOI: 10.7470/JKST.2021.39.1.014
Jihye Kim
Feeder modes on First and Last Mile recently have been getting attention. To carry out relevant policies, it is necessary to understand the choice behavior about feeder modes on first and last mile. Therefore we analyzed traveler’s mode choice behavior about electric scooter, autonomous bus, sharing bicycle and walking which can be introduced on First and Last Mile. On the mode choice behavior, the qualitative factors have influence as well as the quantitative factors. Therefore, this study quantified the qualitative factors which were implied “feeling danger” related to bicycle and electric scooter, and “concerning health” related to walking. The values of qualitative factor were estimated by using a binary logit model with socio-economic attributes and personal preference as independent variables, and the mode choice models were calibrated in the form of a multinomial logit model with traveler’s socio-economic attributes, mode service attributes, and qualitative factor as independent variables. The influence of the qualitative factors on traveler’s choice behavior was interpreted as unit of travel time. And the calibration analysis of transportation mode choice behavior at very short distances showed that the model is statistically significant. The calibrated model explained that the people in age 20s preferred to electric scooters comparing with other age groups and that houseperson tended to avoid walking. The passengers tended to feel danger to electric scooter more than bicycle. The effect of “feeling danger” and “concerning health” on the mode choice behavior in time unit, their effect was found as same as between 3.17 and 5.06 minutes. When considering that it is a very short-distance moving, the results showed that the qualitative factors of “feeling danger” and “concerning health” affect greatly on the traveler’s mode choice behavior. The study contributed to quantifying the qualitative factors for traveler’s mode choice behavior at very short distances. This made it possible to express the influence of qualitative factors numerically.
“第一英里”和“最后一英里”的馈线模式最近引起了人们的关注。为了实施相应的政策,有必要了解馈线模式在第一英里和最后一英里的选择行为。因此,我们分析了在“第一英里”和“最后一英里”可引入的电动滑板车、自动公交车、共享单车和步行的出行方式选择行为。在模式选择行为上,定性因素和定量因素都有影响。因此,本研究量化了与自行车和电动滑板车相关的“感觉危险”和与步行相关的“关心健康”隐含的定性因素。采用以社会经济属性和个人偏好为自变量的二元logit模型对定性因子的取值进行估计,并采用以旅客社会经济属性、模式服务属性和定性因子为自变量的多项logit模型对模式选择模型进行校准。定性因素对出行者选择行为的影响被解释为单位旅行时间。对极短距离交通方式选择行为的标定分析表明,该模型具有显著的统计学意义。校正后的模型解释说,20多岁的人比其他年龄段的人更喜欢电动滑板车,而户主则倾向于避免走路。与骑自行车相比,骑电动滑板车的乘客更容易感到危险。在时间单位上,“感到危险”和“关心健康”对模式选择行为的影响在3.17 ~ 5.06分钟之间是相同的。当考虑到这是一个很短距离的移动时,结果表明“感觉危险”和“关心健康”这两个定性因素对出行者的模式选择行为影响很大。该研究有助于量化出行者在极短距离下的模式选择行为的定性因素。这使得用数字来表示定性因素的影响成为可能。
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引用次数: 2
Performance Measurement and Determination of Introduction Criteria for Peak Demand Responsive Transit Service 高峰需求响应式交通服务的性能测量与引入标准的确定
Pub Date : 2021-02-28 DOI: 10.7470/JKST.2021.39.1.100
Sedong Moon
Peak demand responsive transit (peak DRT) services are being proposed recently to supplement urban public transportation systems’ limitations. The peak DRT aggregates passengers with similar origins, destinations, and departure times into groups and provides a demand-responsive and express service for each group. This study evaluated the performance of introducing the peak DRT, then established the criteria to determine O-D pairs to introduce the DRT service. To achieve this, we assumed that the DRT should be introduced for O-D pairs with great demands and inferior public transportation services and identified O-D pairs to introduce the DRT under varying criteria: the minimum demand and the minimum difference of generalized travel time between private car and public transportation. We clustered individual public transportation trips on smartcard data by origins, destinations, and departure times, then generated a DRT route for each cluster and evaluated its cost and benefit. This procedure was repeated under varying criteria, and a criterion that maximizes the benefit-to-cost (B/C) ratio or maximizes the benefit while maintaining B/C at least one was selected. As a result, the number of DRT passengers as well as the benefit of DRT introduction were higher under a criterion maximizing the benefit than a criterion maximizing the B/C. This result implies that the criterion for peak DRT introduction should be determined to maximize the benefit than the B/C to provide the DRT service for more people.
高峰需求响应运输(高峰DRT)服务最近被提出,以补充城市公共交通系统的局限性。高峰DRT将出发地、目的地和出发时间相似的乘客分组,并为每个分组提供需求响应和快速服务。本研究评估了引入峰值DRT服务的性能,并建立了确定引入峰值DRT服务的O-D对的标准。为了实现这一目标,我们假设对于需求大、公共交通服务条件差的O-D对引入DRT,并根据私家车与公共交通的最小需求和广义出行时间差的最小标准,识别O-D对引入DRT。我们根据起点、目的地和出发时间对智能卡数据中的个人公共交通出行进行了聚类,然后为每个聚类生成了一条DRT路线,并评估了其成本和收益。在不同的标准下重复这一过程,并选择一个最大化效益与成本(B/C)比率或最大化效益同时保持B/C至少一个的标准。因此,在效益最大化准则下,DRT乘客数量和引入DRT的效益高于B/C最大化准则下的DRT。这一结果表明,应确定峰值DRT引入的标准,以最大限度地提高比B/C提供DRT服务更多的人的利益。
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引用次数: 0
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Journal of the Eastern Asia Society for Transportation Studies
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