Pub Date : 2025-01-02DOI: 10.1080/19427867.2024.2315359
Marek Cuchý , Michal Jakob , Jan Mrkos
Electric vehicle (EV) travel planning is a complex task that involves optimizing both the routes and the charging sessions for EVs. Existing algorithms rely on single-objective optimization, which limits their ability to consider EV users’ multiple, often conflicting objectives. In this paper, we introduce a new, genuinely multi-objective approach to EV travel planning, which can find Pareto sets containing multiple EV travel plans optimized simultaneously for multiple objectives. We focus on the bi-objective optimization for travel time and cost. To our knowledge, our algorithm is the first to perform such a genuine multi-objective optimization on realistically large country-scale problem instances involving 12,000 charging stations. We implemented our approach into a fully operational prototype application and extensively evaluated it on real-world data. Our results show that our approach can achieve practically usable planning times with only a minor loss of solution quality despite the very high computational complexity of the problem.
{"title":"Route and charging planning for electric vehicles: a multi-objective approach","authors":"Marek Cuchý , Michal Jakob , Jan Mrkos","doi":"10.1080/19427867.2024.2315359","DOIUrl":"10.1080/19427867.2024.2315359","url":null,"abstract":"<div><div>Electric vehicle (EV) travel planning is a complex task that involves optimizing both the routes and the charging sessions for EVs. Existing algorithms rely on single-objective optimization, which limits their ability to consider EV users’ multiple, often conflicting objectives. In this paper, we introduce a new, genuinely multi-objective approach to EV travel planning, which can find Pareto sets containing multiple EV travel plans optimized simultaneously for multiple objectives. We focus on the bi-objective optimization for travel time and cost. To our knowledge, our algorithm is the first to perform such a genuine multi-objective optimization on realistically large country-scale problem instances involving 12,000 charging stations. We implemented our approach into a fully operational prototype application and extensively evaluated it on real-world data. Our results show that our approach can achieve practically usable planning times with only a minor loss of solution quality despite the very high computational complexity of the problem.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 1-21"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140589586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2323314
Song Hu , Lin Wang , Jiancheng Weng , Wei Zhou , Yue Qian , Haipeng Wang
Special external environments will lead to significant changes in the use behavior and dependence degree of different PT travellers, but it is difficult to analyze the mechanism of the hierarchy shift of travelers’ public transportation (PT) dependence. Exploring travelers’ dependence on PT is conducive to understanding individuals’ travel choice behavior and optimizing PT operation organizations. Developing methods for analyzing the internal causal relationship between travelers’ dependence on PT and the key influencing factors under the special condition is an issue. Therefore, the individual travel chains are constructed by associating and matching the multisource PT big data and travel survey data. Thereafter, the K-means algorithm and an improved Apriori algorithm are developed to mine the frequent association rules of groups, and a framework of cross-hierarchy policy implications is derived based on the differences in association rules. Finally, the stated preference survey method is used to measure the effectiveness of the policies.
特殊的外部环境会导致不同PT真人的使用行为和依赖程度发生显著变化,但很难对其分层机制进行分析。
{"title":"Exploring hierarchy shift of travelers’ public transport dependence using an improved Apriori algorithm","authors":"Song Hu , Lin Wang , Jiancheng Weng , Wei Zhou , Yue Qian , Haipeng Wang","doi":"10.1080/19427867.2024.2323314","DOIUrl":"10.1080/19427867.2024.2323314","url":null,"abstract":"<div><div>Special external environments will lead to significant changes in the use behavior and dependence degree of different PT travellers, but it is difficult to analyze the mechanism of the hierarchy shift of travelers’ public transportation (PT) dependence. Exploring travelers’ dependence on PT is conducive to understanding individuals’ travel choice behavior and optimizing PT operation organizations. Developing methods for analyzing the internal causal relationship between travelers’ dependence on PT and the key influencing factors under the special condition is an issue. Therefore, the individual travel chains are constructed by associating and matching the multisource PT big data and travel survey data. Thereafter, the <em>K</em>-means algorithm and an improved Apriori algorithm are developed to mine the frequent association rules of groups, and a framework of cross-hierarchy policy implications is derived based on the differences in association rules. Finally, the stated preference survey method is used to measure the effectiveness of the policies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 72-85"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140002696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2320499
Daniel Rodriguez-Roman , José López-Martínez , Alberto M. Figueroa-Medina
An optimization-based approach is proposed for the joint design of fixed-route bus networks and the service areas of complementary paratransit services. Complementary paratransit systems provide transportation to people with disabilities within a service area (PSA) that is traditionally designed as a function of the spatial layout of a fixed-route bus network. The proposed problem accounts for effectiveness and equity objectives for the bus and paratransit services. A constraint on the minimum extension PSAs is considered, which is of practical interest given the coverage regulations faced by transit agencies in some jurisdictions. A two-step procedure is proposed to find solutions to the design problem. In the first step, bus route network designs are generated, along with their minimum PSAs. In the second step, a genetic algorithm improves upon the PSAs generated in the first step. Simulation tests were performed to illustrate the application of the proposed methodology.
{"title":"Joint optimization of fixed route bus networks and complementary paratransit service areas","authors":"Daniel Rodriguez-Roman , José López-Martínez , Alberto M. Figueroa-Medina","doi":"10.1080/19427867.2024.2320499","DOIUrl":"10.1080/19427867.2024.2320499","url":null,"abstract":"<div><div>An optimization-based approach is proposed for the joint design of fixed-route bus networks and the service areas of complementary paratransit services. Complementary paratransit systems provide transportation to people with disabilities within a service area (PSA) that is traditionally designed as a function of the spatial layout of a fixed-route bus network. The proposed problem accounts for effectiveness and equity objectives for the bus and paratransit services. A constraint on the minimum extension PSAs is considered, which is of practical interest given the coverage regulations faced by transit agencies in some jurisdictions. A two-step procedure is proposed to find solutions to the design problem. In the first step, bus route network designs are generated, along with their minimum PSAs. In the second step, a genetic algorithm improves upon the PSAs generated in the first step. Simulation tests were performed to illustrate the application of the proposed methodology.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 36-48"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140011426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2334100
Xiaoqing Wang , Feng Sun , Xiaolong Ma , Fangtong Jiao , Benxing Liu , Pengsheng Zhao
Short-term traffic flow prediction can improve the efficiency of transportation operations. Historical data-driven prediction methods have been proved to perform well. However, saturated or oversaturated traffic operations cannot be accurately predicted based only on detector data from a single intersection. This study proposes a short-term traffic prediction method based on vehicle trip chain features. First, the video data is pre-processed and quality assessed. Then, vehicle trip chain features are mined to correlate upstream and downstream intersections.Convolutional neural networks and long-short-term-memory model are built next. The model is launched to train the predictor and output the traffic flow for all turns at each approach to the intersection. After cases we demonstrate that the prediction accuracy of CNNs-LSTM is usually better than other methods, especially during oversaturation. In addition, we demonstrate that vehicle trip chain features can improve prediction accuracy and shorten the time consumed by the model.
{"title":"Short-term traffic flow prediction based on vehicle trip chain features","authors":"Xiaoqing Wang , Feng Sun , Xiaolong Ma , Fangtong Jiao , Benxing Liu , Pengsheng Zhao","doi":"10.1080/19427867.2024.2334100","DOIUrl":"10.1080/19427867.2024.2334100","url":null,"abstract":"<div><div>Short-term traffic flow prediction can improve the efficiency of transportation operations. Historical data-driven prediction methods have been proved to perform well. However, saturated or oversaturated traffic operations cannot be accurately predicted based only on detector data from a single intersection. This study proposes a short-term traffic prediction method based on vehicle trip chain features. First, the video data is pre-processed and quality assessed. Then, vehicle trip chain features are mined to correlate upstream and downstream intersections.Convolutional neural networks and long-short-term-memory model are built next. The model is launched to train the predictor and output the traffic flow for all turns at each approach to the intersection. After cases we demonstrate that the prediction accuracy of CNNs-LSTM is usually better than other methods, especially during oversaturation. In addition, we demonstrate that vehicle trip chain features can improve prediction accuracy and shorten the time consumed by the model.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 157-168"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140634501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2327811
Lu Zhen , Xueqin Du , Haolin Li , Zanyang Wu
With the growing reliance on urban metro networks, any accidental disruption can lead to rapid degradation and significant economic losses. Bus bridging services are common and efficient ways to minimize such adverse impacts. In this study, we investigate the problem of designing bus bridging services in response to unexpected metro disruptions, and propose a routing strategy with multiple bridging routes. In particular, to respond to uncertain factors such as passenger arrivals and bus travel times in the disruption environment, we develop a two-stage stochastic programming model for the collaborative optimization of bus bridging routes, schedules, and passenger assignments. To solve the computational challenges arising with the proposed model, a tailored tabu search algorithm is developed. Finally, several sets of numerical experiments are conducted and experimental results reveal that our proposed routing strategy can effectively improve the service level for the affected passengers during metro disruptions.
{"title":"A stochastic programming model for designing bus bridging services under metro disruptions","authors":"Lu Zhen , Xueqin Du , Haolin Li , Zanyang Wu","doi":"10.1080/19427867.2024.2327811","DOIUrl":"10.1080/19427867.2024.2327811","url":null,"abstract":"<div><div>With the growing reliance on urban metro networks, any accidental disruption can lead to rapid degradation and significant economic losses. Bus bridging services are common and efficient ways to minimize such adverse impacts. In this study, we investigate the problem of designing bus bridging services in response to unexpected metro disruptions, and propose a routing strategy with multiple bridging routes. In particular, to respond to uncertain factors such as passenger arrivals and bus travel times in the disruption environment, we develop a two-stage stochastic programming model for the collaborative optimization of bus bridging routes, schedules, and passenger assignments. To solve the computational challenges arising with the proposed model, a tailored tabu search algorithm is developed. Finally, several sets of numerical experiments are conducted and experimental results reveal that our proposed routing strategy can effectively improve the service level for the affected passengers during metro disruptions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 103-118"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140150854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2327805
Lining Liu , Yugang Liu , Xiaofei Ye
This research addresses the challenge of predicting URT station passenger flow during peak hour. The Multi-Sequence Spatio-Temporal Feature Fusion Network Model (MSSTFFN) based on trend decomposition is introduced to capture complex spatio-temporal correlations. This model combines seasonal trend decomposition, graph convolutional neural networks, and modified Transformer networks. The MSSTFFN model is evaluated using actual data from Hangzhou City. The results indicate that, in comparison to the baseline model, this model consistently delivers the best prediction results across various datasets as well as prediction tasks. It exhibits exceptional and consistent performance in prediction sub-tasks involving different input and prediction step combinations, highlighting its advanced, robust, and versatile nature. Through micro-comparisons of specific prediction results for different types of stations, the practical application value is verified. Furthermore, through the design of ablation experiments and testing on various datasets, the contribution value of the features and model’s generalization capability are validated.
{"title":"Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit","authors":"Lining Liu , Yugang Liu , Xiaofei Ye","doi":"10.1080/19427867.2024.2327805","DOIUrl":"10.1080/19427867.2024.2327805","url":null,"abstract":"<div><div>This research addresses the challenge of predicting URT station passenger flow during peak hour. The Multi-Sequence Spatio-Temporal Feature Fusion Network Model (MSSTFFN) based on trend decomposition is introduced to capture complex spatio-temporal correlations. This model combines seasonal trend decomposition, graph convolutional neural networks, and modified Transformer networks. The MSSTFFN model is evaluated using actual data from Hangzhou City. The results indicate that, in comparison to the baseline model, this model consistently delivers the best prediction results across various datasets as well as prediction tasks. It exhibits exceptional and consistent performance in prediction sub-tasks involving different input and prediction step combinations, highlighting its advanced, robust, and versatile nature. Through micro-comparisons of specific prediction results for different types of stations, the practical application value is verified. Furthermore, through the design of ablation experiments and testing on various datasets, the contribution value of the features and model’s generalization capability are validated.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 86-102"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140172398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2334101
Zhiliang Luo , Amirarsalan Mehrara Molan , Joseph E. Hummer , Anurag Pande
At intersections where traffic demand is above capacity, reducing the number of signal phases may help operational performance. Alternative intersections may help achieve the reduction; however, retrofits to alternatives with two-phase signals may be impactful and unpopular. Our study evaluates five alternative signalized intersections with three critical phases, namely partial median U-turn intersection (MUT), partial continuous-flow intersection (CFI), a combination of MUT and CFI (MUT/CFI combo), reverse reduced conflict intersection (reverse RCI), and thru-cut. Three-phase designs may provide better capacity than conventional intersections with fewer impacts than two-phase intersections and, therefore, may be more palatable to stakeholders. A wide range of simulation scenarios were tested to evaluate the performance of the intersections using VISSIM and the Surrogate Safety Assessment Model. Based on the results, all three-phase designs outperformed the conventional design in terms of traffic operation. The partial CFI and MUT/CFI combo yielded the fewest conflicts among the designs evaluated.
{"title":"Introducing the concept of alternative intersections with three-phase traffic signals","authors":"Zhiliang Luo , Amirarsalan Mehrara Molan , Joseph E. Hummer , Anurag Pande","doi":"10.1080/19427867.2024.2334101","DOIUrl":"10.1080/19427867.2024.2334101","url":null,"abstract":"<div><div>At intersections where traffic demand is above capacity, reducing the number of signal phases may help operational performance. Alternative intersections may help achieve the reduction; however, retrofits to alternatives with two-phase signals may be impactful and unpopular. Our study evaluates five alternative signalized intersections with three critical phases, namely partial median U-turn intersection (MUT), partial continuous-flow intersection (CFI), a combination of MUT and CFI (MUT/CFI combo), reverse reduced conflict intersection (reverse RCI), and thru-cut. Three-phase designs may provide better capacity than conventional intersections with fewer impacts than two-phase intersections and, therefore, may be more palatable to stakeholders. A wide range of simulation scenarios were tested to evaluate the performance of the intersections using VISSIM and the Surrogate Safety Assessment Model. Based on the results, all three-phase designs outperformed the conventional design in terms of traffic operation. The partial CFI and MUT/CFI combo yielded the fewest conflicts among the designs evaluated.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 169-182"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140589504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2329469
Jiahao Zhang , Hongsheng Qi
Understanding vehicles’ movement in complex environments becomes cruical with the fast development of connected automated vehicles (CAVs). Current microscopic traffic flow models lack consideration for vehicle dynamics and complex road topologies. This study develops a model addressing these issues, retrieving vehicles’ maneuvers and predicting vehicles’ two-dimensional motion. It introduces a two-dimensional intelligent driving model utilizing steering angle and acceleration as control inputs. Intricate road topologies are represented with potential fields and a virtual boundary to capture the heterogeneous environment’s complexity. A driving potential field model is also developed for off-ramp areas. Model parameters are optimized with the dynamic time warping (DTW) and particle swarm optimization (PSO) algorithm. Furthermore, model predictive control (MPC) enhances the realism of the model’s output. Field validation results demonstrate that the proposed models can accurately describe vehicles’ two-dimensional movement in intricate environments, offering valuable support for research on heterogeneous traffic flows for CAVs and CVs.
{"title":"Intelligent driving model considering vehicular dynamics and heterogeneous road environments","authors":"Jiahao Zhang , Hongsheng Qi","doi":"10.1080/19427867.2024.2329469","DOIUrl":"10.1080/19427867.2024.2329469","url":null,"abstract":"<div><div>Understanding vehicles’ movement in complex environments becomes cruical with the fast development of connected automated vehicles (CAVs). Current microscopic traffic flow models lack consideration for vehicle dynamics and complex road topologies. This study develops a model addressing these issues, retrieving vehicles’ maneuvers and predicting vehicles’ two-dimensional motion. It introduces a two-dimensional intelligent driving model utilizing steering angle and acceleration as control inputs. Intricate road topologies are represented with potential fields and a virtual boundary to capture the heterogeneous environment’s complexity. A driving potential field model is also developed for off-ramp areas. Model parameters are optimized with the dynamic time warping (DTW) and particle swarm optimization (PSO) algorithm. Furthermore, model predictive control (MPC) enhances the realism of the model’s output. Field validation results demonstrate that the proposed models can accurately describe vehicles’ two-dimensional movement in intricate environments, offering valuable support for research on heterogeneous traffic flows for CAVs and CVs.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 119-134"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140201869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2333648
Xuelei Meng , Haijun Li , Limin Jia , Ruhu Gao
This paper analyzes the relation of arrival-departure tracks and the platforms of various types of stations, and the minimum dwelling time and adjacent train arrival interval to avoid contact of the boarding and alighting passengers. It constructs an integrated model of high-speed train rescheduling and the arrival-departure tracks utilization planning, taking the minimum dwelling time at stations, train tracking interval, minimum train running time in sections, and the arrival-departure tracks occupation as the constraints. The genetic algorithm based on the tabu search strategy is utilized to address the problem. A comparison is conducted between the computational results based on the classical genetic algorithm and the designed algorithm, revealing a 18.92% reduction in total calculation time consumption and a 1.11% improvement in accuracy. The proposed method can provide decision support for train dispatching work in epidemic situations.
{"title":"High-speed train rescheduling and arrival-departure tracks utilization planning in infectious epidemic","authors":"Xuelei Meng , Haijun Li , Limin Jia , Ruhu Gao","doi":"10.1080/19427867.2024.2333648","DOIUrl":"10.1080/19427867.2024.2333648","url":null,"abstract":"<div><div>This paper analyzes the relation of arrival-departure tracks and the platforms of various types of stations, and the minimum dwelling time and adjacent train arrival interval to avoid contact of the boarding and alighting passengers. It constructs an integrated model of high-speed train rescheduling and the arrival-departure tracks utilization planning, taking the minimum dwelling time at stations, train tracking interval, minimum train running time in sections, and the arrival-departure tracks occupation as the constraints. The genetic algorithm based on the tabu search strategy is utilized to address the problem. A comparison is conducted between the computational results based on the classical genetic algorithm and the designed algorithm, revealing a 18.92% reduction in total calculation time consumption and a 1.11% improvement in accuracy. The proposed method can provide decision support for train dispatching work in epidemic situations.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 144-156"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140589507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-01-02DOI: 10.1080/19427867.2024.2321730
Shin-Hyung Cho , Shin Hyoung Park , Sangho Choo
Developing an integrated transportation system has required strategies to improve mobility in public transportation networks. This study aims to construct a route choice model incorporating heterogeneous travel behaviors and suggest policy improvements considering travel behavioral characteristics for the elderly in transportation planning. A stated preference survey has been established to explore the travel behaviors on public transit. The behavioral differences of elderly travelers are compared with young adult travelers by the parameters of travel time attributes. Travel time multipliers are developed to compare the time impedance for the travels on public transit using the concept of willingness to pay. Travelers are reluctant to increase the transfer time for all types, resulting in multipliers ranging from 1.91 to 2.11. The results provide the implications of transport policy for the elderly considering a convenient transfer on the integrated transit system in an aging society.
{"title":"Exploring the travel behavioral differences for the elderly mobility on public transit","authors":"Shin-Hyung Cho , Shin Hyoung Park , Sangho Choo","doi":"10.1080/19427867.2024.2321730","DOIUrl":"10.1080/19427867.2024.2321730","url":null,"abstract":"<div><div>Developing an integrated transportation system has required strategies to improve mobility in public transportation networks. This study aims to construct a route choice model incorporating heterogeneous travel behaviors and suggest policy improvements considering travel behavioral characteristics for the elderly in transportation planning. A stated preference survey has been established to explore the travel behaviors on public transit. The behavioral differences of elderly travelers are compared with young adult travelers by the parameters of travel time attributes. Travel time multipliers are developed to compare the time impedance for the travels on public transit using the concept of willingness to pay. Travelers are reluctant to increase the transfer time for all types, resulting in multipliers ranging from 1.91 to 2.11. The results provide the implications of transport policy for the elderly considering a convenient transfer on the integrated transit system in an aging society.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 61-71"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140002549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}