Road crashes are a major cause of fatalities worldwide, posing significant challenges for road-safety experts in selecting appropriate crash-frequency estimation models. This study introduces localized safety performance functions (C-SPFs), which explore the spatial variation of crash frequency and the spatial correlation between dependent variables. The exploratory spatial regression method is employed to identify optimal spatial associations. The study further predicts crashes using geographically weighted Poisson regression (GWPR) and generalized Poisson regression. Results indicate that C-SPFs offer greater accuracy than do models calibrated solely on annual average daily traffic. Moreover, the proposed model is especially relevant for jurisdictions facing higher heavy-vehicle traffic and frequent crashes. The development of C-SPFs and the use of GWPR provide valuable tools for policymakers and road-safety experts in enhancing crash-frequency estimation accuracy. Implementing these techniques can aid in prioritizing safety measures and countermeasures, especially in regions with significant heavy-vehicle traffic and crash occurrences. Additionally, the integration of spatial-analysis techniques and localized models can lead to more effective transportation planning and targeted road-safety interventions, ultimately contributing to reducing the burden of road crashes on a global scale.
{"title":"Using Spatial Modeling for Identifying Determinants Influencing Crash Estimate: Case Study of Hamedan, Iran","authors":"Seyed Ahmadreza Almasi, Amir Reza Bakhshi Lomer, Hassan Khaksar, Aynaz Lotfata","doi":"10.1177/03611981231197647","DOIUrl":"https://doi.org/10.1177/03611981231197647","url":null,"abstract":"Road crashes are a major cause of fatalities worldwide, posing significant challenges for road-safety experts in selecting appropriate crash-frequency estimation models. This study introduces localized safety performance functions (C-SPFs), which explore the spatial variation of crash frequency and the spatial correlation between dependent variables. The exploratory spatial regression method is employed to identify optimal spatial associations. The study further predicts crashes using geographically weighted Poisson regression (GWPR) and generalized Poisson regression. Results indicate that C-SPFs offer greater accuracy than do models calibrated solely on annual average daily traffic. Moreover, the proposed model is especially relevant for jurisdictions facing higher heavy-vehicle traffic and frequent crashes. The development of C-SPFs and the use of GWPR provide valuable tools for policymakers and road-safety experts in enhancing crash-frequency estimation accuracy. Implementing these techniques can aid in prioritizing safety measures and countermeasures, especially in regions with significant heavy-vehicle traffic and crash occurrences. Additionally, the integration of spatial-analysis techniques and localized models can lead to more effective transportation planning and targeted road-safety interventions, ultimately contributing to reducing the burden of road crashes on a global scale.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135252410","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}
Pub Date : 2023-10-07DOI: 10.1177/03611981231200225
Samet Güner, Kamil Taşkın, Halil İbrahim Cebeci, Emrah Aydemir
Service quality is essential to increase and maintain user loyalty to the railway system. In the literature, surveys have been used to measure user satisfaction, and mathematical methods have been applied to quantify the survey results. In recent years, user-generated content, including comments and complaints shared via social media, has been used to measure the quality of rail services. This content may provide important insights into the quality of the service provided with its dynamic structure. In this study, a SERVQUAL-based social-media analytics approach is used to measure railway service quality, placing special emphasis on the temporal variations in a national rail system. Topic modeling was used to assign each content item to the relevant service dimension and sentiment analysis was applied to measure the level of satisfaction. Importance–performance analysis was employed at the final stage to generate policy suggestions. Gathering more than 2.3 million social-media messages posted from 2011 to 2021, we examined the temporal evolution of service quality of the Turkish rail system. The results reveal the most and least important services and the satisfaction level of each dimension. The differences between the priorities of conventional and high-speed rail passengers are defined, and policy recommendations are presented.
{"title":"Service Quality in Rail Systems: Listen to the Voice of Social Media","authors":"Samet Güner, Kamil Taşkın, Halil İbrahim Cebeci, Emrah Aydemir","doi":"10.1177/03611981231200225","DOIUrl":"https://doi.org/10.1177/03611981231200225","url":null,"abstract":"Service quality is essential to increase and maintain user loyalty to the railway system. In the literature, surveys have been used to measure user satisfaction, and mathematical methods have been applied to quantify the survey results. In recent years, user-generated content, including comments and complaints shared via social media, has been used to measure the quality of rail services. This content may provide important insights into the quality of the service provided with its dynamic structure. In this study, a SERVQUAL-based social-media analytics approach is used to measure railway service quality, placing special emphasis on the temporal variations in a national rail system. Topic modeling was used to assign each content item to the relevant service dimension and sentiment analysis was applied to measure the level of satisfaction. Importance–performance analysis was employed at the final stage to generate policy suggestions. Gathering more than 2.3 million social-media messages posted from 2011 to 2021, we examined the temporal evolution of service quality of the Turkish rail system. The results reveal the most and least important services and the satisfaction level of each dimension. The differences between the priorities of conventional and high-speed rail passengers are defined, and policy recommendations are presented.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135252040","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}
Pub Date : 2023-10-06DOI: 10.1177/03611981231200229
Wang Xianrong, Han Shangyu, Zhu Yunsheng
Based on laboratory tests and the discrete element method (DEM), this study investigated the reinforcement by geocells on the compressive process of asphalt mixture. By considering the vital material features and mechanical properties of different ingredients (the three-dimensional irregular shapes and elastic properties of coarse aggregates and geocells, the viscoelastic properties of asphalt mastic, and the random distribution of air voids within asphalt mastic), micromechanical modeling of geocell-reinforced asphalt mixture and virtual uniaxial compression test was built by using PFC3D. The effects of geocell reinforcement on the compression process of the asphalt mixture were evaluated through the virtual compression test. The results show that the built DEM and virtual test can effectively predict the compression process of geocell-reinforced asphalt mixture. The geocell reinforcement positively affected the compression process of asphalt mixture by affecting the distribution of micromechanical forces and displacements in the asphalt mixture. Moreover, the geocell reinforcement was more significant on asphalt mastic. This indicates that the geocell significantly improves the compressive performance of asphalt mixture from the microscopic perspective.
{"title":"Uniaxial Compressive Process Simulation of Geocell-Reinforced Asphalt Mixture by Discrete Element","authors":"Wang Xianrong, Han Shangyu, Zhu Yunsheng","doi":"10.1177/03611981231200229","DOIUrl":"https://doi.org/10.1177/03611981231200229","url":null,"abstract":"Based on laboratory tests and the discrete element method (DEM), this study investigated the reinforcement by geocells on the compressive process of asphalt mixture. By considering the vital material features and mechanical properties of different ingredients (the three-dimensional irregular shapes and elastic properties of coarse aggregates and geocells, the viscoelastic properties of asphalt mastic, and the random distribution of air voids within asphalt mastic), micromechanical modeling of geocell-reinforced asphalt mixture and virtual uniaxial compression test was built by using PFC3D. The effects of geocell reinforcement on the compression process of the asphalt mixture were evaluated through the virtual compression test. The results show that the built DEM and virtual test can effectively predict the compression process of geocell-reinforced asphalt mixture. The geocell reinforcement positively affected the compression process of asphalt mixture by affecting the distribution of micromechanical forces and displacements in the asphalt mixture. Moreover, the geocell reinforcement was more significant on asphalt mastic. This indicates that the geocell significantly improves the compressive performance of asphalt mixture from the microscopic perspective.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135351776","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}
Pub Date : 2023-10-06DOI: 10.1177/03611981231201109
Asif Ahmed, Md Jobair Bin Alam, Sachini Madanayake, Niloy Gupta
In this paper, soil water characteristic curves (SWCCs) were reconstructed through simultaneous field measurement of soil water content and suction value. The objective of this study was to evaluate whether field-based monitoring could capture the different SWCC paths in various seasons. Moreover, field measurement of SWCC makes it possible to quantify the hysteresis phenomenon, analyzes the effect of various temporal resolutions on SWCC, and highlights the differences in reconstructed SWCC for the same soil during various weather conditions. Field data from one expansive subgrade site in Texas, USA were collected through moisture and suction sensors over a 3-year monitoring period. Analyzing the rainfall and evapotranspiration data, three distinct wetting and drying cycles were identified which allowed correct discrimination of the cycles. The pattern of changes in SWCC was identified in the various wetting and drying cycles. While the field data was fitted through the Van Genuchten equation, variations of the unsaturated soil parameters ( α, n, m) were identified in various cycles. Air entry value indicator parameter α ranged from 0.05 to 0.11 kPa −1 while the slope of the SWCC curve parameter n value varied from 1.1 to 1.45. Comparing these results with previous studies, it was concluded that wetting and drying cycle parameters do not have any predefined correlation. However, these unsaturated parameters required for numerical modeling are dependent on the climatic events happening year-round.
通过现场同时测量土壤含水量和吸力值，重建了土壤水分特征曲线(swcc)。本研究的目的是评估基于现场的监测是否可以捕获不同季节的不同SWCC路径。此外，SWCC的现场测量可以量化迟滞现象，分析不同时间分辨率对SWCC的影响，并突出显示同一土壤在不同天气条件下重建SWCC的差异。在3年的监测期内，通过湿度和吸力传感器收集了美国德克萨斯州一个膨胀路基的现场数据。通过对降雨和蒸散资料的分析，确定了三个不同的干湿循环，从而可以正确地区分干湿循环。在不同的干湿循环中确定了SWCC的变化模式。通过Van Genuchten方程拟合现场数据，确定了不同循环下非饱和土参数(α， n, m)的变化规律。进气值指标参数α取值范围为0.05 ~ 0.11 kPa−1,SWCC曲线斜率参数n取值范围为1.1 ~ 1.45。将这些结果与以往的研究结果进行比较，得出了干湿循环参数不存在任何预定义相关性的结论。然而，数值模拟所需的这些不饱和参数依赖于全年发生的气候事件。
{"title":"Investigation of Non-Equilibrium and Dynamic Behavior of Soil Water Characteristic Curves through Field Monitoring","authors":"Asif Ahmed, Md Jobair Bin Alam, Sachini Madanayake, Niloy Gupta","doi":"10.1177/03611981231201109","DOIUrl":"https://doi.org/10.1177/03611981231201109","url":null,"abstract":"In this paper, soil water characteristic curves (SWCCs) were reconstructed through simultaneous field measurement of soil water content and suction value. The objective of this study was to evaluate whether field-based monitoring could capture the different SWCC paths in various seasons. Moreover, field measurement of SWCC makes it possible to quantify the hysteresis phenomenon, analyzes the effect of various temporal resolutions on SWCC, and highlights the differences in reconstructed SWCC for the same soil during various weather conditions. Field data from one expansive subgrade site in Texas, USA were collected through moisture and suction sensors over a 3-year monitoring period. Analyzing the rainfall and evapotranspiration data, three distinct wetting and drying cycles were identified which allowed correct discrimination of the cycles. The pattern of changes in SWCC was identified in the various wetting and drying cycles. While the field data was fitted through the Van Genuchten equation, variations of the unsaturated soil parameters ( α, n, m) were identified in various cycles. Air entry value indicator parameter α ranged from 0.05 to 0.11 kPa −1 while the slope of the SWCC curve parameter n value varied from 1.1 to 1.45. Comparing these results with previous studies, it was concluded that wetting and drying cycle parameters do not have any predefined correlation. However, these unsaturated parameters required for numerical modeling are dependent on the climatic events happening year-round.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135352528","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}
Pub Date : 2023-10-06DOI: 10.1177/03611981231194630
Moez Kilani, Seghir Zerguini
We analyze several scenarios of transport reforms for the city of Bordeaux (France) using a model that takes into account the interaction between transport and the housing market. We find that road pricing schemes are significantly more effective when they are accompanied by an increase in housing supply in locations where demand increases. This allows households to consider their options for relocation in the medium and long term. Our analysis is based on an aggregate model with a nested decision structure that includes both transport and housing. We provide a full description of the model structure and the calibration steps and make the source code available for those who wish to analyze other cases.
{"title":"Model for the Evaluation of Urban Transport Policies and Their Interaction with the Housing Market","authors":"Moez Kilani, Seghir Zerguini","doi":"10.1177/03611981231194630","DOIUrl":"https://doi.org/10.1177/03611981231194630","url":null,"abstract":"We analyze several scenarios of transport reforms for the city of Bordeaux (France) using a model that takes into account the interaction between transport and the housing market. We find that road pricing schemes are significantly more effective when they are accompanied by an increase in housing supply in locations where demand increases. This allows households to consider their options for relocation in the medium and long term. Our analysis is based on an aggregate model with a nested decision structure that includes both transport and housing. We provide a full description of the model structure and the calibration steps and make the source code available for those who wish to analyze other cases.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350333","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}
Pub Date : 2023-10-06DOI: 10.1177/03611981231198834
Roxani Gkavra, Yusak Octavius Susilo, Roman Klementschitz
Mobility in rural areas requires increased attention, because of not only the large share of the population living there but also the difficulties and special needs that characterize the areas themselves and their residents and visitors. Demand responsive transport (DRT) systems can fill the gap for flexible and sustainable public transport in rural environments. However, since most past studies focused on the urban context, there is still a lack of knowledge on the determinants of usage and loyalty to these systems. The objective of the present study is to identify the decisive factors of DRT systems’ usage in rural areas by examining user characteristics, usage cases, and the determinants of satisfaction with such services. Insights are obtained based on survey data collected on two DRT systems in Austria—one system with a flexible timetable and predetermined stops that mainly serves suburban residents and another door-to-door service with a fixed timetable that is oriented to locals and tourists. The usage of DRT systems is modeled via regression models and the decisive factors are identified and compared among user groups and services. The findings suggest that DRT systems are used for both compulsory and non-mandatory trips and that the majority of users are female. However, the results from different user groups and services suggest that there are not unanimous determinants of the probability of traveling by DRT. With regard to overall satisfaction, it is found that it is related to satisfaction with both trip-level attributes and system design characteristics.
{"title":"Determinants of Usage and Satisfaction with Demand Responsive Transport Systems in Rural Areas","authors":"Roxani Gkavra, Yusak Octavius Susilo, Roman Klementschitz","doi":"10.1177/03611981231198834","DOIUrl":"https://doi.org/10.1177/03611981231198834","url":null,"abstract":"Mobility in rural areas requires increased attention, because of not only the large share of the population living there but also the difficulties and special needs that characterize the areas themselves and their residents and visitors. Demand responsive transport (DRT) systems can fill the gap for flexible and sustainable public transport in rural environments. However, since most past studies focused on the urban context, there is still a lack of knowledge on the determinants of usage and loyalty to these systems. The objective of the present study is to identify the decisive factors of DRT systems’ usage in rural areas by examining user characteristics, usage cases, and the determinants of satisfaction with such services. Insights are obtained based on survey data collected on two DRT systems in Austria—one system with a flexible timetable and predetermined stops that mainly serves suburban residents and another door-to-door service with a fixed timetable that is oriented to locals and tourists. The usage of DRT systems is modeled via regression models and the decisive factors are identified and compared among user groups and services. The findings suggest that DRT systems are used for both compulsory and non-mandatory trips and that the majority of users are female. However, the results from different user groups and services suggest that there are not unanimous determinants of the probability of traveling by DRT. With regard to overall satisfaction, it is found that it is related to satisfaction with both trip-level attributes and system design characteristics.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350337","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}
Pub Date : 2023-10-06DOI: 10.1177/03611981231200228
Lei Han, Zhigang Du, Kunlin Wu
Reasonable and appropriate traffic sign information volume (TSIV) is crucial to ensure road traffic safety, especially at the entrance zones of highway tunnels. This research compares how various levels of TSIV affect both visual characteristics and visual workload of drivers through real road driving tests. Forty participants were recruited to conduct a field driving experiment at six highway tunnels. The eye movement data of drivers were collected by an eye tracker and the effects of TSIV on drivers’ eye movement characteristics, visual stability, visual SampEn (sample entropy), and visual workload intensity were analyzed and evaluated. At the T3 level (48.31 bits) of TSIV, the drivers’ average fixation duration and average saccade duration were both at the lowest value, while the drivers’ average saccade amplitude reached the maximum, and the dispersion of the three eye movement indicators was the smallest. In addition, the drivers’ visual SampEn increased continuously when approaching the tunnel portal, and was the lowest at T3 level. With the increase of TSIV, drivers’ visual workload intensity decreased first and then increased, the minimum being at T3 level. The drivers’ visual behavior is more stable, visual coordination ability is better, and visual workload and psychological pressure are least under the T3 level, which is beneficial to ensure driving safety at the entrance zone of a highway tunnel. Inappropriate levels of TSIV at highway tunnel entrance zones will cause inevitable risks to driving safety.
{"title":"Evaluation of Traffic Signs Information Volume at Highway Tunnel Entrance Zone Based on Driver’s Visual Characteristics","authors":"Lei Han, Zhigang Du, Kunlin Wu","doi":"10.1177/03611981231200228","DOIUrl":"https://doi.org/10.1177/03611981231200228","url":null,"abstract":"Reasonable and appropriate traffic sign information volume (TSIV) is crucial to ensure road traffic safety, especially at the entrance zones of highway tunnels. This research compares how various levels of TSIV affect both visual characteristics and visual workload of drivers through real road driving tests. Forty participants were recruited to conduct a field driving experiment at six highway tunnels. The eye movement data of drivers were collected by an eye tracker and the effects of TSIV on drivers’ eye movement characteristics, visual stability, visual SampEn (sample entropy), and visual workload intensity were analyzed and evaluated. At the T3 level (48.31 bits) of TSIV, the drivers’ average fixation duration and average saccade duration were both at the lowest value, while the drivers’ average saccade amplitude reached the maximum, and the dispersion of the three eye movement indicators was the smallest. In addition, the drivers’ visual SampEn increased continuously when approaching the tunnel portal, and was the lowest at T3 level. With the increase of TSIV, drivers’ visual workload intensity decreased first and then increased, the minimum being at T3 level. The drivers’ visual behavior is more stable, visual coordination ability is better, and visual workload and psychological pressure are least under the T3 level, which is beneficial to ensure driving safety at the entrance zone of a highway tunnel. Inappropriate levels of TSIV at highway tunnel entrance zones will cause inevitable risks to driving safety.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350492","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}
Increase in vehicle ownership (VO) as a result of rapid economic and population growth and its negative environmental effects have gradually become a potential threat to the physical and social environment. A wide range of factors influences the propensity for VO by individuals or firms; however, the existing body of literature lacks a critical review which provides an understanding of their underlying associations and potential implications for policymaking in one holistic frame. To fill this research gap, this study presents a systematic review of factors affecting private and commercial VO using the PRISMA framework (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). The factors influencing private VO decisions are extracted from the reviewed articles; subsequently, the identified factors are topologically divided into seven categories. The findings show that most studies identified the factors contributing to VO as related to socio-economic, demographic, and built environmental characteristics. A lack of research has been identified for attitudinal, technological, and parking-related variables. It is also concluded that there are gaps in the knowledge base on factors contributing to the commercial VO of a business establishment. Designing informed policy measures based on such factors that can induce a sustainable transition in the mobility sector is important to mitigate transportation-related negative externalities on the environment. The overall review findings offer actionable guidance for low-carbon mobility transition and outline a future research agenda for academic researchers and decision makers. The quantifiable factors revealed in this study are expected to assist policy makers in discouraging VO propensity among individuals or firms.
{"title":"Decoding Private or Commercial Vehicle Ownership Decisions for Low-Carbon Mobility Transitions: A Systematic Review of the Literature","authors":"Nirmalendu Bikash Mishra, Agnivesh Pani, Smruti Sourava Mohapatra, Prasanta K. Sahu","doi":"10.1177/03611981231194346","DOIUrl":"https://doi.org/10.1177/03611981231194346","url":null,"abstract":"Increase in vehicle ownership (VO) as a result of rapid economic and population growth and its negative environmental effects have gradually become a potential threat to the physical and social environment. A wide range of factors influences the propensity for VO by individuals or firms; however, the existing body of literature lacks a critical review which provides an understanding of their underlying associations and potential implications for policymaking in one holistic frame. To fill this research gap, this study presents a systematic review of factors affecting private and commercial VO using the PRISMA framework (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). The factors influencing private VO decisions are extracted from the reviewed articles; subsequently, the identified factors are topologically divided into seven categories. The findings show that most studies identified the factors contributing to VO as related to socio-economic, demographic, and built environmental characteristics. A lack of research has been identified for attitudinal, technological, and parking-related variables. It is also concluded that there are gaps in the knowledge base on factors contributing to the commercial VO of a business establishment. Designing informed policy measures based on such factors that can induce a sustainable transition in the mobility sector is important to mitigate transportation-related negative externalities on the environment. The overall review findings offer actionable guidance for low-carbon mobility transition and outline a future research agenda for academic researchers and decision makers. The quantifiable factors revealed in this study are expected to assist policy makers in discouraging VO propensity among individuals or firms.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134975902","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}
Pub Date : 2023-10-05DOI: 10.1177/03611981231198476
Yangyang Wang, Xiaolang Cao, Gaotian Ren, Yajie Zou, Hangyun Deng
This paper addresses the issue of on-ramp merging in multi-lane freeways and proposes a cooperative control method based on connected and automated vehicles. Focusing on a two-main-lane freeway scenario, the method consists of two key models: a merging sequence decision model and a motion planning model. The merging sequence decision model prioritizes collision avoidance by predicting the motion state and lane-changing trajectory of vehicles in the merging area. The motion planning model utilizes longitudinal and lateral cooperation to control the main lane vehicles to generate the merging gap through coordinated adjustments in the longitudinal speed or by performing lane changes. The optimal merging trajectory is determined using the entropy weight method, and a fast optimization method based on neural networks is employed. Through simulations considering different traffic density combinations, the proposed method is compared with traditional control schemes. Results demonstrate its superiority in improving traffic flow stability, rapidity, and overall efficiency.
{"title":"Research on Cooperative Control for On-Ramp Merging with Multiple Lanes in Connected and Automated Environments","authors":"Yangyang Wang, Xiaolang Cao, Gaotian Ren, Yajie Zou, Hangyun Deng","doi":"10.1177/03611981231198476","DOIUrl":"https://doi.org/10.1177/03611981231198476","url":null,"abstract":"This paper addresses the issue of on-ramp merging in multi-lane freeways and proposes a cooperative control method based on connected and automated vehicles. Focusing on a two-main-lane freeway scenario, the method consists of two key models: a merging sequence decision model and a motion planning model. The merging sequence decision model prioritizes collision avoidance by predicting the motion state and lane-changing trajectory of vehicles in the merging area. The motion planning model utilizes longitudinal and lateral cooperation to control the main lane vehicles to generate the merging gap through coordinated adjustments in the longitudinal speed or by performing lane changes. The optimal merging trajectory is determined using the entropy weight method, and a fast optimization method based on neural networks is employed. Through simulations considering different traffic density combinations, the proposed method is compared with traditional control schemes. Results demonstrate its superiority in improving traffic flow stability, rapidity, and overall efficiency.","PeriodicalId":23279,"journal":{"name":"Transportation Research Record","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134976458","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}
Pub Date : 2023-10-03DOI: 10.1177/03611981231198848
Felix Yik Kin Lao, Peter G. Furth
At signalized intersections where pedestrian crossings are divided into two stages by using a median island, pedestrian delay can be very long if the partial-crossing phases have poor progression. One technique for reducing pedestrian delay is pedestrian–left turn overlaps, in which half-crossings that are not in conflict with a left turn are allowed to run during the left turn phase as well as during the parallel vehicle through phase. Such an overlap can enable some pedestrians to cross in a single pass, or to have a far shorter wait at the median. Because this technique requires surrendering some of the flexibility with which left turn phases normally operate—in phases with a pedestrian call, the left turn phase cannot be skipped and may require a longer minimum green—there can also be an impact on vehicle delay. A case study of two intersections in Brookline, MA found that, compared with the current timing plan, using pedestrian–left turn overlaps could reduce pedestrian delay from about 100 to 35 s, with a negligible impact on vehicle delay. A methodological innovation introduced in this study was that average pedestrian delay was calculated for three pedestrian speeds and averaged together, thus accounting for how pedestrian delay at multistage crossings can be far lower for faster pedestrians who may be able to cross in a single pass than for slower pedestrians who have to wait at the crossing island.
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