Pub Date : 2021-12-30DOI: 10.3846/transport.2021.16169
Jiaming Liu, Bin Yu, Wenxuan Shan, Baozhen Yao, Yao Sun
The yard template problem in container ports determines the assignment of space to store containers for the vessels, which could impact container truck paths. Actually, the travel time of container truck paths is uncertain. This paper considers the uncertainty from two perspectives: (1) the yard congestion in the context of yard truck interruptions, (2) the correlation among adjacent road sections (links). A mixed-integer programming model is proposed to minimize the travel time of container trucks. The reliable shortest path, which takes the correlation among links into account is firstly discussed. To settle the problem, a Shuffled Complex Evolution Approach (SCE-UA) algorithm is designed to work out the assignment of yard template, and the A* algorithm is presented to find the reliable shortest path according to the port operator’s attitude. In our case study, one yard in Dalian (China) container port is chosen to test the applicability of the model. The result shows the proposed model can save 9% of the travel time of container trucks, compared with the model without considering the correlation among adjacent links.
{"title":"OPTIMIZING THE CONTAINER TRUCK PATHS WITH UNCERTAIN TRAVEL TIME IN CONTAINER PORTS","authors":"Jiaming Liu, Bin Yu, Wenxuan Shan, Baozhen Yao, Yao Sun","doi":"10.3846/transport.2021.16169","DOIUrl":"https://doi.org/10.3846/transport.2021.16169","url":null,"abstract":"The yard template problem in container ports determines the assignment of space to store containers for the vessels, which could impact container truck paths. Actually, the travel time of container truck paths is uncertain. This paper considers the uncertainty from two perspectives: (1) the yard congestion in the context of yard truck interruptions, (2) the correlation among adjacent road sections (links). A mixed-integer programming model is proposed to minimize the travel time of container trucks. The reliable shortest path, which takes the correlation among links into account is firstly discussed. To settle the problem, a Shuffled Complex Evolution Approach (SCE-UA) algorithm is designed to work out the assignment of yard template, and the A* algorithm is presented to find the reliable shortest path according to the port operator’s attitude. In our case study, one yard in Dalian (China) container port is chosen to test the applicability of the model. The result shows the proposed model can save 9% of the travel time of container trucks, compared with the model without considering the correlation among adjacent links.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"28 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89605504","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 : 2021-12-28DOI: 10.3846/transport.2021.16147
S. An, Xiaowei Hu, Jian Wang, Han Lv
Urban taxi services have been developing year on year, playing an increasingly important role in the economy and the transportation markets of each city. This increases interest in measuring their performance. This paper analysed the relationship among the four stakeholders (including administrative department, operational companies, taxi drivers and customers) for urban taxi passenger transport system in China, and applied System Dynamics (SD) model to explore the dynamic characteristics of urban taxi price system. The main achievements of this paper are as follows, firstly, this paper adopted stakeholder mapping to describe the relationships among the four stakeholders. Then analysed the causal flow diagrams and the different variables of urban taxi passenger transport system operation, and presented the SD model, which considers factors that affect the taxi operation. With the combination of taxi operation data of Harbin city, we simulated eleven urban taxi operation scenarios and proposed kinds of suggestions to improve urban taxi passenger transport system operation, which can provide a good basis for recommending policy decisions for urban taxi market.
{"title":"A SYSTEM DYNAMICS MODEL FOR URBAN TAXI PRICE SIMULATION","authors":"S. An, Xiaowei Hu, Jian Wang, Han Lv","doi":"10.3846/transport.2021.16147","DOIUrl":"https://doi.org/10.3846/transport.2021.16147","url":null,"abstract":"Urban taxi services have been developing year on year, playing an increasingly important role in the economy and the transportation markets of each city. This increases interest in measuring their performance. This paper analysed the relationship among the four stakeholders (including administrative department, operational companies, taxi drivers and customers) for urban taxi passenger transport system in China, and applied System Dynamics (SD) model to explore the dynamic characteristics of urban taxi price system. The main achievements of this paper are as follows, firstly, this paper adopted stakeholder mapping to describe the relationships among the four stakeholders. Then analysed the causal flow diagrams and the different variables of urban taxi passenger transport system operation, and presented the SD model, which considers factors that affect the taxi operation. With the combination of taxi operation data of Harbin city, we simulated eleven urban taxi operation scenarios and proposed kinds of suggestions to improve urban taxi passenger transport system operation, which can provide a good basis for recommending policy decisions for urban taxi market.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"86 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76810766","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 : 2021-12-14DOI: 10.3846/transport.2021.16003
Wencheng Huang, Yue Zhang, Yifei Xu, Rui Zhang, Minhao Xu, Yang Wang
In order to evaluate the URTPSQ (Urban Rail Transit Passenger Service Quality) comprehensively, find the shortage of URTPSQ, find out the difference between the actual service situation and the passenger’s expectation and demand,and provide passengers with better travel services, a passenger-oriented KANO–Entropy–TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed and applied in this paper. Firstly, a KANO model is applied to select the service quality indicators from the 24 URTPSQ evaluation sub-indicators, according to the selection results, the KANO service quality indicators of URTPSQ are constructed. Then the sensitivity of the KANO service quality indicators based on the KANO model are calculated and ranked, the PS (Passenger Satisfaction) of each KANO service quality indicator by using the Entropy–TOPSIS method is calculated and ranked. Based on the difference between the sensitivity degree rank and the satisfaction degree rank of each KANO service quality indicator, determine the service quality KANO indicators of the URTPSQ that need to be improved significantly. A case study is conducted by taking the Chengdu subway system in China as a background. The results show that the Chengdu subway operation enterprises should pay attention to the must-be demand first, then the one-dimensional demand, finally the attractive demand. The three indicators, including transfer on the same floor in the station, service quality of staffs of urban rail transit enterprises,and cleanness in the station and passenger coach, need to be improved urgently. For the managers and operators of urban rail transit system, the passengers’ must-be demand should be satisfied first if the KANO model is applied to evaluate the service. The indicators with highest sensitivity degree and lowest TOPSIS value should be improved based on the KANO–Entropy–TOPSIS model.
{"title":"URBAN RAIL TRANSIT PASSENGER SERVICE QUALITY EVALUATION BASED ON THE KANO–ENTROPY–TOPSIS MODEL: THE CHINA CASE","authors":"Wencheng Huang, Yue Zhang, Yifei Xu, Rui Zhang, Minhao Xu, Yang Wang","doi":"10.3846/transport.2021.16003","DOIUrl":"https://doi.org/10.3846/transport.2021.16003","url":null,"abstract":"In order to evaluate the URTPSQ (Urban Rail Transit Passenger Service Quality) comprehensively, find the shortage of URTPSQ, find out the difference between the actual service situation and the passenger’s expectation and demand,and provide passengers with better travel services, a passenger-oriented KANO–Entropy–TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed and applied in this paper. Firstly, a KANO model is applied to select the service quality indicators from the 24 URTPSQ evaluation sub-indicators, according to the selection results, the KANO service quality indicators of URTPSQ are constructed. Then the sensitivity of the KANO service quality indicators based on the KANO model are calculated and ranked, the PS (Passenger Satisfaction) of each KANO service quality indicator by using the Entropy–TOPSIS method is calculated and ranked. Based on the difference between the sensitivity degree rank and the satisfaction degree rank of each KANO service quality indicator, determine the service quality KANO indicators of the URTPSQ that need to be improved significantly. A case study is conducted by taking the Chengdu subway system in China as a background. The results show that the Chengdu subway operation enterprises should pay attention to the must-be demand first, then the one-dimensional demand, finally the attractive demand. The three indicators, including transfer on the same floor in the station, service quality of staffs of urban rail transit enterprises,and cleanness in the station and passenger coach, need to be improved urgently. For the managers and operators of urban rail transit system, the passengers’ must-be demand should be satisfied first if the KANO model is applied to evaluate the service. The indicators with highest sensitivity degree and lowest TOPSIS value should be improved based on the KANO–Entropy–TOPSIS model.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"934 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85599136","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 : 2021-12-08DOI: 10.3846/transport.2021.16086
Lijana Maskeliūnaitė
Lithuania is a transit country. It is a small but significant territory between East and West. This fact is substantiated by the history of the country railways, which started when Tsarist Russia launched the construction of the railway between Saint-Petersburg and Warsaw. There is not much research into the history of railways in Russia, also in Lithuania. Besides, not all available information is reliable due to the nihilistic attitudes towards Tsarism of that time. Only some of the railways in the former Soviet Union were written and talked about. The history of the Lithuania railway is not an exception. Different written sources provide a variety of dates for the first railway to be built in Lithuania. They mirror varied events in the history of Lithuanian railways, thus all of them must be taken into consideration. The article presents the evolution of Lithuanian railway transport from Tsarist Russia to Rail Baltica, which is the European railway project currently implemented in Lithuania. The article discusses the world’s first railways including the ones in Tsarist Russia when the history of Lithuanian railways started. The article also considers the building of the first railway in Lithuania, construction of railway stations, setting the transportation tariffs, selection of railway employees. The author of the article employs historical and online resources as well as a long-standing personal experience in railway transport. The research into Tsar Family’s diaries and historical novels makes it possible to disclose the facts that are not widely known. The author considers the future of Lithuania with reference to the construction of the European railway Rail Baltica. The article would be useful for the readers who are interested in the historical development and future of Lithuanian railways.
{"title":"RAILWAYS IN LITHUANIA: FROM TSARIST RUSSIA TO RAIL BALTICA","authors":"Lijana Maskeliūnaitė","doi":"10.3846/transport.2021.16086","DOIUrl":"https://doi.org/10.3846/transport.2021.16086","url":null,"abstract":"Lithuania is a transit country. It is a small but significant territory between East and West. This fact is substantiated by the history of the country railways, which started when Tsarist Russia launched the construction of the railway between Saint-Petersburg and Warsaw. There is not much research into the history of railways in Russia, also in Lithuania. Besides, not all available information is reliable due to the nihilistic attitudes towards Tsarism of that time. Only some of the railways in the former Soviet Union were written and talked about. The history of the Lithuania railway is not an exception. Different written sources provide a variety of dates for the first railway to be built in Lithuania. They mirror varied events in the history of Lithuanian railways, thus all of them must be taken into consideration. The article presents the evolution of Lithuanian railway transport from Tsarist Russia to Rail Baltica, which is the European railway project currently implemented in Lithuania. The article discusses the world’s first railways including the ones in Tsarist Russia when the history of Lithuanian railways started. The article also considers the building of the first railway in Lithuania, construction of railway stations, setting the transportation tariffs, selection of railway employees. The author of the article employs historical and online resources as well as a long-standing personal experience in railway transport. The research into Tsar Family’s diaries and historical novels makes it possible to disclose the facts that are not widely known. The author considers the future of Lithuania with reference to the construction of the European railway Rail Baltica. The article would be useful for the readers who are interested in the historical development and future of Lithuanian railways.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74257262","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 : 2021-12-07DOI: 10.3846/transport.2021.16043
A. Borucka, D. Mazurkiewicz, Eliza Łagowska
Effective planning and optimization of rail transport operations depends on effective and reliable forecasting of demand. The results of transport performance forecasts usually differ from measured values because the mathematical models used are inadequate. In response to this applicative need, we report the results of a study whose goal was to develop, on the basis of historical data, an effective mathematical model of rail passenger transport performance that would allow to make reliable forecasts of future demand for this service. Several models dedicated to this type of empirical data were proposed and selection criteria were established. The models used in the study are: the seasonal naive model, the Exponential Smoothing (ETS) model, the exponential smoothing state space model with Box–Cox transformation, ARMA errors, trigonometric trend and seasonal components (TBATS) model, and the AutoRegressive Integrated Moving Average (ARIMA) model. The proposed time series identification and forecasting methods are dedicated to the processing of time series data with trend and seasonality. Then, the best model was identified and its accuracy and effectiveness were assessed. It was noticed that investigated time series is characterized by strong seasonality and an upward trend. This information is important for planning a development strategy for rail passenger transport, because it shows that additional investments and engagement in the development of both transport infrastructure and superstructure are required to meet the existing demand. Finally, a forecast of transport performance in sequential periods of time was presented. Such forecast may significantly improve the system of scheduling train journeys and determining the level of demand for rolling stock depending on the season and the annual rise in passenger numbers, increasing the effectiveness of management of rail transport.
{"title":"MATHEMATICAL MODELLING AS AN ELEMENT OF PLANNING RAIL TRANSPORT STRATEGIES","authors":"A. Borucka, D. Mazurkiewicz, Eliza Łagowska","doi":"10.3846/transport.2021.16043","DOIUrl":"https://doi.org/10.3846/transport.2021.16043","url":null,"abstract":"Effective planning and optimization of rail transport operations depends on effective and reliable forecasting of demand. The results of transport performance forecasts usually differ from measured values because the mathematical models used are inadequate. In response to this applicative need, we report the results of a study whose goal was to develop, on the basis of historical data, an effective mathematical model of rail passenger transport performance that would allow to make reliable forecasts of future demand for this service. Several models dedicated to this type of empirical data were proposed and selection criteria were established. The models used in the study are: the seasonal naive model, the Exponential Smoothing (ETS) model, the exponential smoothing state space model with Box–Cox transformation, ARMA errors, trigonometric trend and seasonal components (TBATS) model, and the AutoRegressive Integrated Moving Average (ARIMA) model. The proposed time series identification and forecasting methods are dedicated to the processing of time series data with trend and seasonality. Then, the best model was identified and its accuracy and effectiveness were assessed. It was noticed that investigated time series is characterized by strong seasonality and an upward trend. This information is important for planning a development strategy for rail passenger transport, because it shows that additional investments and engagement in the development of both transport infrastructure and superstructure are required to meet the existing demand. Finally, a forecast of transport performance in sequential periods of time was presented. Such forecast may significantly improve the system of scheduling train journeys and determining the level of demand for rolling stock depending on the season and the annual rise in passenger numbers, increasing the effectiveness of management of rail transport.","PeriodicalId":23260,"journal":{"name":"Transport","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79167653","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 : 2021-12-03DOI: 10.53052/9788366249851.07
Paulina Świerk, E. Macioszek, A. Sobota
{"title":"THE TICKET TARIFF AND DISTRIBUTION CHANNELS IN THE GÓRNOŚLĄSKA- ZAGŁĘBIOWSKA METROPOLIS","authors":"Paulina Świerk, E. Macioszek, A. Sobota","doi":"10.53052/9788366249851.07","DOIUrl":"https://doi.org/10.53052/9788366249851.07","url":null,"abstract":"","PeriodicalId":23260,"journal":{"name":"Transport","volume":"35 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86864911","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 : 2021-12-03DOI: 10.53052/9788366249851.02
Matúš Lavčák, Pavol Tarbajovský, Michal Puškár
{"title":"DWUPALIWOWY SYSTEM WYSOKOPRĘŻNEGO SAMOCZYNNEGO ZAPŁONU","authors":"Matúš Lavčák, Pavol Tarbajovský, Michal Puškár","doi":"10.53052/9788366249851.02","DOIUrl":"https://doi.org/10.53052/9788366249851.02","url":null,"abstract":"","PeriodicalId":23260,"journal":{"name":"Transport","volume":"47 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86163221","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 : 2021-12-03DOI: 10.53052/9788366249851.04
W. Mężyk, P. Czech
{"title":"WPŁYW EKRANÓW AKUSTYCZNYCH ORAZ CZYNNIKÓW EKSPLOATACYJNYCH NA ODCZUWALNY KOMFORT JAZDY SAMOCHODEM OSOBOWYM","authors":"W. Mężyk, P. Czech","doi":"10.53052/9788366249851.04","DOIUrl":"https://doi.org/10.53052/9788366249851.04","url":null,"abstract":"","PeriodicalId":23260,"journal":{"name":"Transport","volume":"85 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80913351","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 : 2021-12-03DOI: 10.53052/9788366249851.01
A. Kurek, E. Macioszek
Traffic volume varies over time and differs between areas on the city's transport network. Road traffic in specific periods is characterized by similar values, with slight fluctuations. These values in a given area of the transport network in the morning or afternoon peak hours, in off-peak periods on working days in each of these periods, fluctuate around similar values [1]. However, traffic is disrupted, when there are
{"title":"ANALYSIS OF THE IMPACT OF THE COVID-19 PANDEMIC ON ROAD TRAFFIC ON SELECTED STREET ROUTES IN THE CITY","authors":"A. Kurek, E. Macioszek","doi":"10.53052/9788366249851.01","DOIUrl":"https://doi.org/10.53052/9788366249851.01","url":null,"abstract":"Traffic volume varies over time and differs between areas on the city's transport network. Road traffic in specific periods is characterized by similar values, with slight fluctuations. These values in a given area of the transport network in the morning or afternoon peak hours, in off-peak periods on working days in each of these periods, fluctuate around similar values [1]. However, traffic is disrupted, when there are","PeriodicalId":23260,"journal":{"name":"Transport","volume":"23 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75761183","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}
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