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Public transport inclusion and active aging: A systematic review on elderly mobility

Journal of Traffic and transportation engineering(English Edition) 2024年第2期11卷 312-347页

作者： Na Zhang Qi Yang School of Humanities Chang'an UniversityXi'an 710064China School of transportation engineering Chang'an UniversityXi'an 710064China School of Economics and Management Chang'an UniversityXi'an 710064China

Global aging has brought attention to addressing the elderly mobility dilemma,and a commitment to address inclusive transport in aging.Transport inclusion for older adults aims at establishing an age-friendly transport system.As a direct policy goal and promoting active aging as an indirect social goal,to help older populations gain access to transport and social opportunities.Based on the analysis of scientific knowledge mapping over the past 30 years,this study visualizes the hotspots and trends in elderly mobility research.Through a qualitative analysis of 138 papers,this paper reviews the theoretical foundations for transport inclusion and three themes of elderly mobility research,proposes a framework for public transport(PT)inclusion research as well as future research directions.The study suggests that transport inclusion can help enhance elderly health,social participation,and subjective well-being.It can improve their travel opportunities for active aging in four ways:opportunity accessibility,physical accessibility,age-friendly informationalization,and cost affordability.Future research should pay attention to examining the mechanism of perceived transport inclusion on active aging,expanding the multilevel research space of the capability approach(CA),and exploring the subjectiveobjective integrated research model for PT inclusion.This research contributes to the overall knowledge of the theoretical and empirical researches on PT inclusion for the elderly and promotes the integrated application of interdisciplinary knowledge in the field.

关键词： transportation engineering Elderly mobility Transport-related social exclusion Transport inclusion Active aging

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Bibliometric analysis and system review of vehicle routing optimization for emergency material distribution

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Journal of Traffic and transportation engineering(English Edition) 2022年第6期9卷 893-911页

作者： Jinxing Shen Kun Liu Changxi Ma Yongpeng Zhao Chuwei Shi College of Civil and transportation engineering Hohai UniversityNanjing 210098China School of Traffc and transportation Lanzhou Jiaotong UniversityLanzhou 730070China

Determining the optimal vehicle routing of emergency material distribution(VREMD)is one of the core issues of emergency management,which is strategically important to improve the effectiveness of emergency response and thus reduce the negative impact of large-scale emergency events.To summarize the latest research progress,we collected 511VREMD-related articles published from 2010 to the present from the Scopus database and conducted a bibliometric analysis using VOSviewer software.Subsequently,we cautiously selected 49 articles from these publications for system review;sorted out the latest research progress in model construction and solution algorithms;and summarized the evolution trend of keywords,research gaps,and future works.The results show that domestic scholars and research organizations held an unqualified advantage regarding the number of published papers.However,these organizations with the most publications performed poorly regarding the number of literature citations.China and the US have contributed the vast majority of the literature,and there are close collaborations between researchers from both countries.The optimization model of VREMD can be divided into single-,multi-,and joint-objective models.The shortest travel time is the most common optimization objective in the single-objective optimization model.Several scholars focus on multiobjective optimization models to consider conflicting objectives simultaneously.In recent literature,scholars have focused on the impact of uncertainty and special events(e.g.,COVID-19)on VREMD.Moreover,some scholars focus on joint optimization models to optimize vehicle routes and central locations(or material allocation)simultaneously.Solution algorithms can be divided into two primary categories,i.e.,mathematical planning methods and intelligent evolutionary algorithms.The branch and bound algorithm is the most dominant mathematical planning algorithm,while genetic algorithms and their enhancements are the most commonly used intelligent evolutionary algorithms.

关键词： transportation engineering Vehicle routing of emergency materials distribution Bibliometric analysis Optimization model Solution algorithms

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Effectiveness of modified pedestrian crossing signs in an urban area

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Journal of Traffic and transportation engineering(English Edition) 2022年第1期9卷 21-32页

作者： Stephen A.Arhin Adam Gatiba Melissa Anderson Babin Manandhar Melkamsew Ribbisso Ebenezer Acheampong transportation Research Center Howard UniversityWashington DC 20059USA

The District of Columbia currently uses the standard pedestrian warning signs and diagonal arrow plaques at a substantial number of uncontrolled crosswalks within the City.However, the widespread use of these measures appears to be ineffective in curbing the incidence of pedestrian involved crashes or pedestrian-vehicle conflicts. To compensate for the perceived lack of effectiveness of the standard pedestrian warning sign the District Department of transportation developed a new side-of-street crossing sign to improve driver compliance based on pedestrian right-of-way laws.This study was aimed at determining the effectiveness(defined as the proportion of drivers approaching a crosswalk who stop or yield the right of way to a pedestrian in the crosswalk) of the experimental side-of-street pedestrian crossing sign compared to the standard sign, with and without rectangular rapid flashing beacons. Effectiveness of the side-of-street pedestrian sign and standard sign were observed at a total of 32 locations in the District over a one-year period using the “control” and “experimental” comparison approach. Video data for each location was obtained from March 2018 through February 2019 during typical weekdays for the morning and afternoon peak periods. The results of the study showed that the experimental signs with RRFBs provided higher driver compliance rates(yielding to pedestrians) compared to the standard signs for both the morning and afternoon peak periods. However, the differences in compliance rates for the experimental and standard signs were not statistically significant at a 95% confidence interval.Further evaluation of the signs is recommended using the “before” and “after” approach in addition to an assessment of crash statistics at the selected locations.

关键词： transportation engineering Pedestrian signs Crosswalk Compliance Driver yielding behavior District of Columbia

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Reviewing trip purpose imputation in GPS-based travel surveys

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Journal of Traffic and transportation engineering(English Edition) 2020年第4期7卷 395-412页

作者： Minh Hieu Nguyen Jimmy Armoogum Jean-Loup Madre Cedric Garcia Universite Gustave Eiffel/AME/DEST Marne la ValleeF-77447France Faculty of Transport Economics University of Transport and CommunicationsHanoiVietnam

The global positioning system(GPS)has motivated rapid advances in mobility data collection.A massive amount of spatio-temporal information has made it possible to know where a person was and when,but not how and why(s)he travelled,creating the need for inference models.Compared with mode detection,purpose imputation has been insufficiently studied.However,the relative lack of attention to purpose identification does not mean that this field has not emerged.For this paper,which is the first review dedicated to inferringtrip purposes from GPS data,1162 non-duplicate papers from four databases(Scopus,Web of Science,ScienceDirect and TRID)were screened,and a corpus of 25 publications was selected for examination.Based on these papers,the purpose imputation problem is defined in the contexts of the evolution of GPS-based travel surveys and two research domains,transportation science(TS)and human geography(HG).Subsequently,three steps of the purpose detection process,namely trip end detection,input feature selection and main algorithms and validation,are surveyed.During these procedures,the differences between studies in TS and those in HG are highlighted.Finally,unresolved issues related to data and feature selection,algorithms and assessment are discussed substantially to provide potential research directions.This review may be an inform ative reference for those newly accessing the GPS-based purpose imputation field and/or intending to develop solutions to this problem.

关键词： transportation engineering Travel survey GPS Purpose imputation Human geography Activity inference

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Modeling severities of motorcycle crashes using random parameters

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Journal of Traffic and transportation engineering(English Edition) 2021年第2期8卷 225-236页

作者： Ahmed Farid Khaled Ksaibati Wyoming Technology Transfer Center Department of Civil and Architectural EngineeringUniversity of WyomingLaramieWY 82071USA

One of the critical areas of road safety is motorcycle safety. Motorcyclists are more vulnerable to injuries than occupants of other motor vehicles when involved in crashes.Researchers have studied the relationships between motorcycle crash severity and crash contributing factors. They are crash characteristics, roadway geometric design features,traffic characteristics, socio-demographics and environmental conditions. However, few researchers considered unobserved heterogeneity effects when modeling motorcycle crash injury severities, let alone interaction effects. In this research, motorcycle crashes in Wyoming that occurred from 2008 to 2017 were analyzed. Specifically, the injury severities of single motorcycle crashes and multiple vehicle crashes involving motorcycles were modeled. The response was whether the motorcycle crash incurred an incapacitating injury or fatality or not. The binary logistic regression and mixed binary logistic regression modeling structures were implemented. The mixed models revealed effects that otherwise would have been undisclosed in the binary logistic regression models’ results. According to the results of single motorcycle crashes, the majority of motorcycle-animal crashes and of motorcycle-barrier crashes were likely to be severe relative to other single motorcycle crashes. It was also found that horizontal curves increased the risk of severe injuries.Young riders were found to be less at risk of being gravely injured in single motorcycle crashes than older riders as well. Furthermore, riding under the influence and high posted speed limits increased the odds of severe crashes regardless of whether the crashes were single motorcycle crashes or multiple vehicle crashes involving motorcycles. Additionally,the mixed models uncovered interaction effects and unobserved effects pertaining to speed limits.

关键词： transportation engineering Motorcycle safety Injury severity Logistic regression Random parameters

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Emergency response facility location in transportation networks: A literature review

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Journal of Traffic and transportation engineering(English Edition) 2021年第2期8卷 153-169页

作者： Yang Liu Yun Yuan Jieyi Shen Wei Gao College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210031China College of transportation engineering Dalian Maritime UniversityDalian 116026China College of engineering University of UtahSalt Lake CityUT 84112USA

Emergency response activity relies on transportation networks. Emergency facility location interacts with transportation networks clearly. This review is aimed to provide a combined framework for emergency facility location in transportation networks. The article reveals emergency response activities research clusters, issues, and objectives according to keywords co-occurrence analysis. Four classes of spatial separation models in transportation networks, including distance, routing, accessibility, and travel time are introduced. The stochastic and time-dependent characteristics of travel time are described. Travel time estimation and prediction method, travel time under emergency vehicle preemption,transportation network equilibrium method, and travel time in degradable networks are demonstrated. The emergency facilities location models interact with transportation networks, involving location-routing model, location models embedded with accessibility,location models embedded with travel time, and location models employing mathematical program with equilibrium constraints are reviewed. We then point out the-state-of-art challenges: ilities-oriented, evolution landscape and sequential decision modelling, datadriven optimization approach, and machine learning-based algorithms.

关键词： transportation engineering Emergency facility location transportation networks Travel time Machine learning

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Machine learning applied to road safety modeling:A systematic literature review

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Journal of Traffic and transportation engineering(English Edition) 2020年第6期7卷 775-790页

作者： Philippe Barbosa Silva Michelle Andrade Sara Ferreira Department of Civil engineering Goiano Federal Institute-Rio Verde CampusRio Verde 75901-970Brazil Department of Civil and Environmental engineering University of BrasiliaBrasilia 70910-900Brazil Research Centre for Territory Transports and EnvironmentUniversity of PortoPorto 4200-465Portugal

Road safety modeling is a valuable strategy for promoting safe mobility,enabling the development of crash prediction models(CPM)and the investigation of factors contributing to crash occurrence.This modeling has traditionally used statistical techniques despite acknowledging the limitations of this kind of approach(specific assumptions and prior definition of the link functions),which provides an opportunity to explore alternatives such as the use of machine learning(ML)techniques.This study reviews papers that used ML techniques for the development of CPM.A systematic literature review protocol was conducted,that resulted in the analysis of papers and their systematization.Three types of models were identified:crash frequency,crash classification by severity,and crash frequency and severity.The first is a regression problem,the second,a classificatory one and the third can be approached either as a combination of the preceding two or as a regression model for the expected number of crashes by severity levels.The main groups of techniques used for these purposes are nearest neighbor classification,decision trees,evolutionary algorithms,support-vector machine,and artificial neural networks.The last one is used in many kinds of approaches given the ability to deal with both regression and classification problems,and also multivariate response models.This paper also presents the main performance metrics used to evaluate the models and compares the results,showing the clear superiority of the ML-based models over the statistical ones.In addition,it identifies the main explanatory variables used in the models,which shows the predominance of road-environmental aspects as the most important factors contributing to crash occurrence.The review fulfilled its objective,identifying the various approaches and the main research characteristics,limitations,and opportunities,and also highlighting the potential of the usage of ML in crash analyses.

关键词： transportation engineering Road safety modeling Crash prediction Crash injury severity Machine learning Systematic literature review

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Driver injury severity analysis of crashes in a western China’s rural mountainous county:Taking crash compatibility difference into consideration

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Journal of Traffic and transportation engineering(English Edition) 2021年第5期8卷 703-714页

作者： Liyang Wang Ruimin Li Changjun Wang Zhiyong Liu Key Laboratory of the Ministry of Public Security for Road Traffic Safety Ministry of Public SecurityWuxi 214151China Traffic Management Research Institute of the Ministry of Public Security Wuxi 214151China Institute of transportation engineering Department of Civil EngineeringTsinghua UniversityBeijing 100084China

China’s traffic safety attracts increasing research interest.Official data show that crashes in the western region of China are more severe than those in the eastern region.However,research on crash severity in western China is scarce.This study applied a hierarchical Bayesian logistic model to examine the significant factors related to crash and vehicle/driver levels and their heterogeneous impacts on the severity of drivers’ injury.Crash data were collected from Lintao,a rural mountainous county in western China.A variable was proposed to measure the relative difference between the crashworthiness of one vehicle and the aggressivity of the other vehicle in the mixed traffic flow.Results indicated that the majority of the total variance was induced by between-crash variance,showing the suitability of the utilized hierarchical modeling approach.One crash-level variable and six vehicle/driver-level variables,namely,road type,compatibility difference,age,vehicle type,drunk driving,driving unregistered vehicle,and driving years,significantly affected modeling drivers’ injury severities.Among these variables,road type(national and provincial),age(young and senior drivers),driving unregistered vehicle,and drunk driving tended to increase the odds of crash-related mortality.Driving years(new drivers with less than six years of driving experience) and vehicle type(heavy vehicle) were likely to decrease the probability of fatal outcomes.Compatibility difference was relatively significant,and the possibilities of mortality in single vehicle crashes were higher than those inmultivehicle and pedestrian-involved crashes.The developed methodology and estimation results provided insights into the internal mechanism of rural crashes and effective countermeasures to prevent rural crashes.

关键词： transportation engineering Driver injury severity Western China rural mountainous county Traffic crash Hierarchical model Bayesian inference

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Integrated multi-item packaging and vehicle routing with split delivery problem for fresh agri-product emergency supply at large-scale epidemic disease context

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Journal of Traffic and transportation engineering(English Edition) 2021年第2期8卷 196-208页

作者： Yiping Jiang Bei Bian Yang Liu College of Information Management Nanjing Agricultural UniversityNanjing 210095China College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210095China

Fresh agri-product emergency supply is crucial to secure the basic livelihood of residents at large-scale epidemic disease context. Considering the massive demand and limited transportation resources, this study integrates multi-item packaging and vehicle routing with split delivery to improve the emergency supply capacity. Firstly, three specific objectives of fresh agri-product emergency supply at large-scale epidemic disease context are formulated, i.e., average response time, infectious risk possibility and transportation resource utilization. Then, a multi-item packaging strategy is proposed to consolidate different categories of fresh agri-products according to the food cold chain temperatures.An optimization model integrating multi-item packaging and vehicle routing with split delivery is developed to jointly decide the optimal packaging scheduling, vehicle assignment and delivery routing. Next, an improved genetic algorithm based on solution features (IGA-SF) is designed to solve the integrated model with multiple decision variables. Finally,a case on fresh agri-product emergency supply of Huangpi District, Wuhan in the context of the Corona Virus Disease 2019(COVID-19) is carried out to illustrate the efficiency and feasibility of the proposed model. The numerical results of medium-to-largescale cases demonstrate that the proposed IGA-SF could save 23.91% CPU time and 37.80% iteration number on average than genetic algorithm. This study could satisfy different emergency scenario requirements flexibly, and provide scientific decision support for provincial and national governments on fresh agri-product emergency supply.

关键词： transportation engineering Fresh agri-product emergency supply Multi-item packaging Vehicle routing with split delivery Corona virus disease 2019(COVID-19)

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Analyzing driver's response to yellow indication subjected to dilemma incursion under mixed traffic condition

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Journal of Traffic and transportation engineering(English Edition) 2021年第1期8卷 107-116页

作者： Ramesh Chandra Majhi Velmurugan Senathipathi Traffic engineering and Safety Division CSIR-Central Road Research InstituteNew Delhi 110025India

Under mixed traffic conditions prevailing on Indian roads,drivers show complex response when faced with yellow signal because lane assignment gets dynamic in nature.The present study analyzes the effect of surrounding vehicles on response of the drivers while facing dilemma at intersections.Although dilemma zone definitions hold true in case of homogeneous traffic mix,a statistical analysis is performed to check the consistency across the definitions under mixed traffic condition.Present study shows a significant difference in percentage of red light running in comparison to homogeneous traffic as reported by various studies.For carrying out the research,study locations are chosen in such a way to reflect diversity in road geometry,traffic composition and signal characteristics.The results deduced in this study indicate a strong correlation between the driver's decision making choice and the effect of presence of surrounding vehicle at the onset of yellow signal.The effect of critical time analysis has been found out to be one of the parameters other than critical distance in categorizing driver's aggressiveness while facing the yellow signal.In the process of identifying the statistical significance of dilemma zone definitions,it has been found that under heterogeneous traffic condition,drivers behave differently as compared to homogenous traffic when it comes to dilemma zone.It is observed that the percentage of vehicles crossing the intersection when faced with dilemma by violating the red light is 11.6%according to dilemma zone definition I whereas the definition II has yielded about 10.8%violation covering different vehicle types.The above violation figures derived based on the above definition is somewhat higher as compared to homogeneous traffic condition which is observed to be of the order of 5%-6%.

关键词： transportation engineering Mixed traffic Dilemma Dilemma zone Critical time

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