Transportation Research Record最新文献_第10页

Personal Adaptations to Remote Working in the Post-Pandemic City and Its Potential Impact on Residential Relocations: The Case of Istanbul 疫情后城市远程工作的个人适应及其对居民搬迁的潜在影响：以伊斯坦布尔为例

IF 1.7 4区工程技术

Transportation Research Record Pub Date : 2023-06-14 DOI: 10.1177/03611981231174239

M. Paköz, N. Kaya

{"title":"Personal Adaptations to Remote Working in the Post-Pandemic City and Its Potential Impact on Residential Relocations: The Case of Istanbul","authors":"M. Paköz, N. Kaya","doi":"10.1177/03611981231174239","DOIUrl":"https://doi.org/10.1177/03611981231174239","url":null,"abstract":"A forced and rapid increase in remote working because of the COVID-19 pandemic has afforded today’s megacities several important opportunities for reducing traffic congestion, energy consumption, greenhouse gas emissions, and certain threats such as the promotion of urban sprawl. The way in which employees have adapted to working remotely during the pandemic and the potential it offers for improving their work/life balance provide indicators for developing urban policies in the post-pandemic city. The present study aims to examine the potential impact the increase in remote working during the first phase of the COVID-19 pandemic has had on residential relocations in Istanbul by investigating how employees have adapted to remote working and their thoughts about leaving the city after the pandemic. To do so, an online survey was conducted between June 1 and June 5, 2020 with 186 employees living in the city of Istanbul. The survey consisted of investigations into changes in work life during the pandemic. The differences between participants’ responses were analyzed and interpreted with respect to their personal characteristics and leisure-time preferences using Pearson’s chi-squared test and the Mantel–Haenszel test of trends (linear-by-linear association). The study finds significant relationships between personal/social characteristics and how people adapt to remote working and provides important indicators of the effects these adaptation processes have on residential relocations.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47888714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Validating a Physics-Based Automatic Classification Scheme for Impact Echo Signals on Data Using a Concrete Slab with Known Defects 一种基于物理的碰撞回波信号自动分类方法在已知缺陷混凝土板上的验证

4区工程技术

Transportation Research Record Pub Date : 2023-06-13 DOI: 10.1177/03611981231173649

Agnimitra Sengupta, Hoda Azari, S. Ilgin Guler, Parisa Shokouhi

{"title":"Validating a Physics-Based Automatic Classification Scheme for Impact Echo Signals on Data Using a Concrete Slab with Known Defects","authors":"Agnimitra Sengupta, Hoda Azari, S. Ilgin Guler, Parisa Shokouhi","doi":"10.1177/03611981231173649","DOIUrl":"https://doi.org/10.1177/03611981231173649","url":null,"abstract":"Impact echo (IE) is capable of locating subsurface defects in concrete slabs from the vibrational response of the slab to a mechanical impact. For an intact slab (“good” condition), the frequency spectrum of the IE is dominated by a single peak corresponding to the slab’s “thickness resonance frequency,” whereas the presence of subsurface defects (“fair” or “poor” conditions) could manifest in various ways such as multiple distinct peaks at frequencies higher, or lower, than the thickness resonance. In previous research, the authors have proposed a frequency partitioning of the spectrum for IE signal classification. Firstly, the thickness resonance frequency band is identified using a data-driven approach and then the IE signals are represented by their energy distribution in three bands—frequencies less than, within, and greater than the thickness resonance. Following this feature extraction, an unsupervised clustering approach is used to identify the centroids for each signal class—good, fair, and poor—which are further used to classify any test signal into one of the three aforementioned classes. The classification is developed by training on unlabeled IE signals from real bridge deck data (the Federal Highway Administration’s [FHWA’s] InfoBridge dataset) without making use of any labeled data. This study aims to validate the proposed methodology on a labeled dataset of eight reinforced concrete specimens constructed at the FHWA Advanced Sensing Technology Nondestructive Evaluation laboratory having known artificial defects. Our findings indicate that the physics-based feature definition and the method developed on real bridge data are robust and can classify IE signals in the labeled data with moderate accuracy.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136101474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the Trade-Off between Ground Delays and Intersecting Departures under Various Pilot Acceptance Rate Scenarios 不同飞行员接受率情景下的地面延误与交叉离场权衡评估

IF 1.7 4区工程技术

Transportation Research Record Pub Date : 2023-06-09 DOI: 10.1177/03611981231179168

K. Dönmez

{"title":"Evaluation of the Trade-Off between Ground Delays and Intersecting Departures under Various Pilot Acceptance Rate Scenarios","authors":"K. Dönmez","doi":"10.1177/03611981231179168","DOIUrl":"https://doi.org/10.1177/03611981231179168","url":null,"abstract":"The increasing demand for air traffic at airports necessitates the efficient utilization of ground facilities such as runways and taxiways. Intersecting departures, in which one or more aircraft take off from intersecting points on the runway, is a commonly used approach to increase runway capacity and reduce ground delays and taxi times, as well as noise and air pollution. However, the procedure carries potential risks such as runway incursion and excursion. This creates a trade-off between minimizing the number of intersecting departures and minimizing ground delays. In practice, the decision to perform an intersecting departure is ultimately up to the pilot, resulting in uncertainty in the acceptance rate of these types of takeoffs. In this study, a departure sequencing model was developed for a single-runway airport that considers intersecting departures and various pilot acceptance rate scenarios. The primary objective of the model is to minimize total ground delay, including taxi delays, runway holds, and conflict holds. The secondary objective is to minimize the number of intersecting departures by directing the most operationally critical aircraft to the intersection takeoff. The epsilon constraint method—a multi-objective scalarization method—was used to reveal the trade-offs between the objective functions. The results of the model were compared with a traditional scenario that only allows take offs from the beginning of the runway. As a result, average delay savings ranged from 17.1% to 31.5% in various acceptance rate scenarios, as well as average taxi time savings ranging from 4.9% to 8.4% compared with the traditional scenario.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46818970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Case Study on the Relationship Between Socio-Demographic Characteristics and Work-from-Home Behavior Before, During, and After the COVID-19 Pandemic COVID-19大流行之前、期间和之后社会人口统计学特征与在家工作行为关系的案例研究

IF 1.7 4区工程技术

Transportation Research Record Pub Date : 2023-06-08 DOI: 10.1177/03611981231172946

X. Kong, Zihao Li, Yunlong Zhang, Xun Chen, Subasish Das, Abbas Sheykhfard

{"title":"Case Study on the Relationship Between Socio-Demographic Characteristics and Work-from-Home Behavior Before, During, and After the COVID-19 Pandemic","authors":"X. Kong, Zihao Li, Yunlong Zhang, Xun Chen, Subasish Das, Abbas Sheykhfard","doi":"10.1177/03611981231172946","DOIUrl":"https://doi.org/10.1177/03611981231172946","url":null,"abstract":"Many studies have explored the impact of the COVID-19 pandemic on work-from-home (WFH) behavior from different perspectives. However, it is rare to find studies focusing on how the newly adopted WFH practices will affect commuting patterns in the post-pandemic era. This study defines two mediation factors to capture the perceptions of pandemic severity and work environment at home and further investigates their impacts on future WFH adoption. This study utilizes a comprehensive survey and a path analysis method known as structural equation modeling (SEM) to explore the association between demographic factors, perception of COVID-related issues, and WFH behavior before, during, and after the pandemic. The results show that motherhood negatively affected WFH experiences in the before, during, and after periods of the pandemic. It was also found that being forced to WFH and mixing the working environment with their children made mothers less likely to WFH in the post-pandemic era. The results also show that older workers are less appreciative of the WFH approach and are less likely to continue to WFH in the post-pandemic era. The findings also confirmed the association between WFH during and after the pandemic with other factors, such as age and education. The positive or negative experiences with WFH during the pandemic will significantly shape workers’ decisions on continuing to WFH in the post-pandemic era. These findings could help transportation agencies understand the impacts of these factors on the choices of WFH during and, more importantly, after the pandemic era.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42731118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic 基于交通冲突的异构弱车道约束交通实时安全评价框架

4区工程技术

Transportation Research Record Pub Date : 2023-06-08 DOI: 10.1177/03611981231172962

Hiral Patel, Ninad Gore, Said Easa, Shriniwas Arkatkar

{"title":"Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic","authors":"Hiral Patel, Ninad Gore, Said Easa, Shriniwas Arkatkar","doi":"10.1177/03611981231172962","DOIUrl":"https://doi.org/10.1177/03611981231172962","url":null,"abstract":"The present study proposed a real-time traffic safety evaluation framework using macroscopic flow variables. To this end, open-access extended vehicle trajectories were employed. Rear-end traffic conflicts and macroscopic traffic flow variables were derived from the trajectory data and were integrated for real-time safety evaluation. The Proportion of Stopping distance ( PSD) accounts for all types of interactions (both safe and unsafe) in the traffic stream; therefore, the same was adopted to analyze the rear-end traffic conflicts. A macroscopic indicator termed “time spent in conflict ( TSC)” was derived to evaluate the rear-end traffic conflicts. Machine learning models, namely, Random Forest (RF), Support Vector Machines (SVM), and eXtreme Gradient Boosting (XGB), were employed to predict TSCs using macroscopic traffic flow variables. The results revealed that the TSC computed based on PSD exhibits a reliable and explainable relationship with the macroscopic traffic flow variables. TSC computed based on PSD revealed that intermediately congested traffic flow conditions are critical in traffic safety and can be attributed to complex traffic phenomena such as traffic hysteresis, traffic oscillations, and increased speed variance. Moreover, a stable relation between traffic safety and traffic flow was suggested for varying threshold values. Among different machine learning models, the RF model was observed as the best-fitted model to predict TSC based on macroscopic traffic variables. TSC quantifies the safety status of a given traffic flow condition, where a higher value of TSC for a particular traffic flow condition indicates that vehicles prevail in the conflicting scenario for a longer time and, therefore, reflect higher operational risk. The developed machine learning model can be employed to predict TSC (operational risk) in real time using the macroscopic traffic flow variables and, therefore, facilitate traffic safety monitoring.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135325176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning Approach to Analyze the Sentiment of Airline Passengers’ Tweets 用机器学习方法分析航空公司乘客推文的情绪

4区工程技术

Transportation Research Record Pub Date : 2023-06-03 DOI: 10.1177/03611981231172948

Shengyang Wu, Yi Gao

{"title":"Machine Learning Approach to Analyze the Sentiment of Airline Passengers’ Tweets","authors":"Shengyang Wu, Yi Gao","doi":"10.1177/03611981231172948","DOIUrl":"https://doi.org/10.1177/03611981231172948","url":null,"abstract":"As one of the most extensive social networking services, Twitter has more than 300 million active users as of 2022. Among its many functions, Twitter is now one of the go-to platforms for consumers to share their opinions about products or experiences, including flight services provided by commercial airlines. Using a machine learning approach, this study aimed to measure customer satisfaction by analyzing sentiments of tweets that mention airlines. Relevant tweets were retrieved from Twitter’s application programming interface and processed through tokenization and vectorization. After that, these processed vectors were passed into a pretrained machine learning classifier to predict the sentiments. In addition to sentiment analysis, we also performed a lexical analysis on the collected tweets to model keyword frequencies, which provided meaningful context to facilitate interpretation of the sentiments. We then applied time series methods such as Bollinger Bands to detect abnormalities in the sentiment data. Using historical records from January to July 2022, our approach was proven capable of capturing sudden and significant changes in passenger sentiments through the analysis of breakout points on the Bollinger upper and lower bounds. The methodology devised for this study has the potential to be developed into an application that could help airlines, along with other customer-facing businesses, efficiently detect abrupt changes in customer sentiments and consequently take appropriate mitigatory measures.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135842280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying the Determinants of Anticipated Post-Pandemic Mode Choices in the Greater Toronto Area: A Stated Preference Study. 确定大多伦多地区预期疫情后模式选择的决定因素：一项陈述偏好研究

IF 1.6 4区工程技术

Transportation Research Record Pub Date : 2023-06-01 Epub Date: 2023-01-12 DOI: 10.1177/03611981221145133

Patrick Loa, Khandker Nurul Habib

{"title":"Identifying the Determinants of Anticipated Post-Pandemic Mode Choices in the Greater Toronto Area: A Stated Preference Study.","authors":"Patrick Loa, Khandker Nurul Habib","doi":"10.1177/03611981221145133","DOIUrl":"10.1177/03611981221145133","url":null,"abstract":"<p><p>The COVID-19 pandemic had a significant impact on travel mode choices in cities across the world. Driven by perceptions of risk and the fear of infection, the pandemic resulted in an increased preference for private vehicles and active modes and a reduced preference for public transit and ride-sourcing. As travel behavior and modal preferences evolve, a key question is whether the pandemic will result in long-term changes to travel mode choices. This study uses data from a web-based survey to examine the factors influencing mode choices for non-commuting trips in the post-pandemic era. Specifically, it uses stated preference data to develop a random parameter mixed logit model, which is used to compare the elasticity of key variables across different income and age groups. The results of the study highlight the influence of sociodemographic attributes and pre-pandemic travel habits on anticipated post-pandemic mode choices. Additionally, the results suggest that frequent users of private vehicles, public transit, and active modes are likely to continue to use these modes post-pandemic. Furthermore, the results highlight the potential for the perception of shared modes to influence post-pandemic mode choice decisions. The results of the study offer insights into policy measures that could be applied to address the increased use of private vehicles and reduced use of transit during the pandemic, while also emphasizing the need to ensure that certain segments of the population can maintain a sufficient level of mobility and access to transport.</p>","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42975477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating Load Transfer Efficiency for Jointed Pavements from TSD Deflection Velocity Measurements 从TSD挠曲速度测量估算节理路面荷载传递效率

4区工程技术

Transportation Research Record Pub Date : 2023-05-30 DOI: 10.1177/03611981231171923

Martín Scavone, Samer W. Katicha, Gerardo W. Flintsch, Eugene Amarh

{"title":"Estimating Load Transfer Efficiency for Jointed Pavements from TSD Deflection Velocity Measurements","authors":"Martín Scavone, Samer W. Katicha, Gerardo W. Flintsch, Eugene Amarh","doi":"10.1177/03611981231171923","DOIUrl":"https://doi.org/10.1177/03611981231171923","url":null,"abstract":"Transverse joints are the weakest element of jointed pavements, and when these joints lack structural capacity, the onset of load-related distress is imminent. The most widespread measurement of the joints’ structural performance is the Load Transfer Efficiency Index (LTE), a ratio of the deflection of the two adjoining slabs. LTE can easily be assessed with a falling weight deflectometer, but this test procedure is not advisable for evaluation at the network level because of user safety concerns and because it can be excessively time-consuming. Traffic speed deflection devices like the traffic speed deflectometer (TSD) are suitable devices for network-level pavement structural evaluation. Yet, as of today, no interpretation technique to get structural health metrics for jointed pavements from TSD data has been published. In this paper, a backcalculation scheme based on slab theory is proposed to estimate the joints’ LTE from TSD deflection velocity measurements. The backcalculation problem formulation and its numerical solution using fast procedures are described in detail. The approach is tested with TSD data collected on the MnROAD test track. Overall, it was found that the backcalculation converges to reasonable estimates of the pavement structural properties and can furnish LTE estimates for most transverse joints from 5 cm-resolution TSD data, all at a reasonable computational cost. This allows for corridor-wide LTE assessment of a pavement’s joints using TSD measurements.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135641985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feasibility of Battery Electric Pickup Trucks in a State Department of Transportation Fleet 电池电动皮卡在美国运输部车队中的可行性

4区工程技术

Transportation Research Record Pub Date : 2023-05-30 DOI: 10.1177/03611981231172501

Noah J. Goodall, Erin Robartes

{"title":"Feasibility of Battery Electric Pickup Trucks in a State Department of Transportation Fleet","authors":"Noah J. Goodall, Erin Robartes","doi":"10.1177/03611981231172501","DOIUrl":"https://doi.org/10.1177/03611981231172501","url":null,"abstract":"Vehicle manufacturers are beginning to introduce battery electric pickup trucks, with at least three models in production in the United States and at least six others announced. Unlike hybrid and plug-in hybrid vehicles, which use batteries to supplement an internal combustion engine, battery electric vehicles are fully reliant on their batteries and have significantly shorter ranges, fewer refueling/recharging options, and may experience shorter ranges under towing, mountain driving, and temperature extremes. This study investigated real-world pickup truck usage data from a large state department of transportation to determine whether battery electric trucks could effectively replace trucks based on manufacturer-stated range as well as early field tests of actual vehicle range under various speeds, idling scenarios, and weather conditions. The results indicated that 97% of pickup truck day trips could be completed on a standard range battery, and 99% on an extended range battery. Among tracked department of transportation fleet pickup trucks, 31% could be replaced by a standard range electric truck with no change in operation; and up to 64% of the fleet with an extended range could be replaced by an extended range electric truck. Dynamically assigning long trips to dedicated conventional engine pickup trucks could further reduce the number of nonelectric trucks required by half.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135643022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flow-Inflated Selective Sampling for Efficient Agent-Based Dynamic Ride-Pooling Simulations 基于智能体的高效动态拼车模拟的流量膨胀选择性抽样

4区工程技术

Transportation Research Record Pub Date : 2023-05-30 DOI: 10.1177/03611981231170624

Nico Kuehnel, Hannes Rewald, Steffen Axer, Felix Zwick, Rolf Findeisen

{"title":"Flow-Inflated Selective Sampling for Efficient Agent-Based Dynamic Ride-Pooling Simulations","authors":"Nico Kuehnel, Hannes Rewald, Steffen Axer, Felix Zwick, Rolf Findeisen","doi":"10.1177/03611981231170624","DOIUrl":"https://doi.org/10.1177/03611981231170624","url":null,"abstract":"Agent-based simulations are powerful tools for simulating emergent mobility modes, but they often require significant memory and computing power. To address this issue, researchers have previously used sampling techniques, where only a fraction of agents are explicitly simulated while others are simulated through teleportation. However, recent studies have highlighted the challenges of scaling ride-pooling simulations because of their reliance on demand density, which does not scale linearly. In this study, we introduce a new methodology for simulating dynamic ride-pooling services called flow-inflated selective sampling (FISS). Unlike previous approaches, FISS considers all agents but—for selected modes—only explicitly simulates a fraction of their trips while simulating the remaining trips through teleportation. Here, we explicitly simulate all public transport and ride-pooling trips and sample private car trips. The capacity consumption of explicitly simulated cars is scaled up to obtain realistic traffic flows, rather than adjusting the network capacity as in previous approaches. We implement FISS in the MATSim simulation environment for a large scenario in Munich, Germany, and show that it preserves traffic flows while keeping key performance indicators of ride-pooling services stable and unbiased. Mode choice decisions based on FISS also remain stable, and runtimes of the assignment can be almost halved. Overall, FISS is a simple yet effective approach that can significantly reduce the computational burden of agent-based simulations while maintaining the accuracy of the results. It can be particularly useful for simulating ride-pooling services, which can be challenging to scale because of their dependence on demand density.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135643429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0