Pub Date : 2023-10-10DOI: 10.18757/ejtir.2023.23.3.6499
Zahra Eftekhar, Adam Pel, Hans Van Lint
This paper explores temporal patterns in travel production using a full month of production data from traffic analysis zones (TAZ) in the (entire) Netherlands. The mentioned data is a processed aggregated derivative (due to privacy concerns) from GSM traces of a Dutch telecommunication company. This research thus also sheds light on whether such a processed data source is representative of both regular and non-regular patterns in travel production and how such data can be used for planning purposes. To this end, we construct normalized matrix (heatmap) representations of weekly hour-by-hour travel production patterns of over 1200 TAZs, which we cluster using K-means combined with deep convolutional neural networks (inception V3) to extract relevant features. A silhouette score shows that three dominant clusters of temporal patterns can be discerned (K=3). These three clusters have distinctly different within-day and day-to-day production patterns in terms of peak period intensity over different days of the week. Subsequently, a spatial analysis of these clusters reveals that the differences can be related to (easily observable) land-use features such as urbanization levels (i.e., Urban, Rural, and mixed-level). To substantiate this hypothesis and the usefulness of this clustering result, we apply an OVR-SMOTE-XGBoost ensemble classification model on the land-use features of the TAZs (i.e., to identify their cluster). The results of our clustering analysis show that given the land-use features, the overall production patterns are identifiable. Further analysis of the mixed-level areas shows a more complex relationship between temporal heterogeneity and spatial characteristics. Population density seems to impose additional uncertainty on the temporal patterns. All in all, feature selection and spatial and temporal discretization play essential roles in identifying the dominant trip production patterns. These findings are directly useful for data-driven estimation and prediction of demand time series. Furthermore, this study provides further insights into people's mobility, relevant for transportation analysis and policies.
{"title":"A Cluster Analysis of Temporal Patterns of Travel Production in the Netherlands: Dominant within-day and day-to-day patterns and their association with Urbanization Levels","authors":"Zahra Eftekhar, Adam Pel, Hans Van Lint","doi":"10.18757/ejtir.2023.23.3.6499","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.3.6499","url":null,"abstract":"This paper explores temporal patterns in travel production using a full month of production data from traffic analysis zones (TAZ) in the (entire) Netherlands. The mentioned data is a processed aggregated derivative (due to privacy concerns) from GSM traces of a Dutch telecommunication company. This research thus also sheds light on whether such a processed data source is representative of both regular and non-regular patterns in travel production and how such data can be used for planning purposes. To this end, we construct normalized matrix (heatmap) representations of weekly hour-by-hour travel production patterns of over 1200 TAZs, which we cluster using K-means combined with deep convolutional neural networks (inception V3) to extract relevant features. A silhouette score shows that three dominant clusters of temporal patterns can be discerned (K=3). These three clusters have distinctly different within-day and day-to-day production patterns in terms of peak period intensity over different days of the week. Subsequently, a spatial analysis of these clusters reveals that the differences can be related to (easily observable) land-use features such as urbanization levels (i.e., Urban, Rural, and mixed-level). To substantiate this hypothesis and the usefulness of this clustering result, we apply an OVR-SMOTE-XGBoost ensemble classification model on the land-use features of the TAZs (i.e., to identify their cluster). The results of our clustering analysis show that given the land-use features, the overall production patterns are identifiable. Further analysis of the mixed-level areas shows a more complex relationship between temporal heterogeneity and spatial characteristics. Population density seems to impose additional uncertainty on the temporal patterns. All in all, feature selection and spatial and temporal discretization play essential roles in identifying the dominant trip production patterns. These findings are directly useful for data-driven estimation and prediction of demand time series. Furthermore, this study provides further insights into people's mobility, relevant for transportation analysis and policies.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"63 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320822","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 : 2023-10-10DOI: 10.18757/ejtir.2023.23.3.6145
Sam McLeod, Michael Browne
Policy-makers face challenges managing the movement of goods while responding to increasingly urgent sustainability problems. Freight policy is fragmented over many regulatory fields, often with ambiguous or contested objectives. Empirical freight transport research can be difficult to translate directly into policy settings, and policy measures often have substantial unintended consequences, especially over long time periods. These foundational challenges can make effective policy implementation difficult. Through a review of the literature, and drawing on diverse applied research and practice experiences, we categorise intertemporal problems in designing regional freight policy, and identify principles for informing practical policy synthesis. These principles provide a framework for decision-makers who formulate policy, and for researchers who critically evaluate it. Adoption and refinement of these principles will improve the translation of research into policy through time, recognising the inherently complex and uncertain nature of planning for the movement of goods.
{"title":"Planning for the sustainability of freight and logistics","authors":"Sam McLeod, Michael Browne","doi":"10.18757/ejtir.2023.23.3.6145","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.3.6145","url":null,"abstract":"Policy-makers face challenges managing the movement of goods while responding to increasingly urgent sustainability problems. Freight policy is fragmented over many regulatory fields, often with ambiguous or contested objectives. Empirical freight transport research can be difficult to translate directly into policy settings, and policy measures often have substantial unintended consequences, especially over long time periods. These foundational challenges can make effective policy implementation difficult. Through a review of the literature, and drawing on diverse applied research and practice experiences, we categorise intertemporal problems in designing regional freight policy, and identify principles for informing practical policy synthesis. These principles provide a framework for decision-makers who formulate policy, and for researchers who critically evaluate it. Adoption and refinement of these principles will improve the translation of research into policy through time, recognising the inherently complex and uncertain nature of planning for the movement of goods.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"14 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139321180","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 : 2023-01-01DOI: 10.18757/ejtir.2023.23.1.6733
Roel Faber, Marije Hamersma, Mathijs De Haas, Lizet Krabbenborg, Arjen 't Hoen
Like in many other countries, the Dutch government instructed people to work from home where possible during the COVID-19 pandemic to halt the transmission of the virus. This policy seems to have resulted in a structural increase in working from home and teleconferencing that will outlast the pandemic. However, the longer-term effects on travel behaviour are still unclear. Making use of panel data collected using the Netherlands Mobility Panel, this paper has two main aims. First, it analyses developments in working from home and teleconferencing since COVID-19. Second, it estimates the expected post-pandemic effects on travel behaviour. The results show that compared to before the pandemic, the average number of hours that people work from home has doubled and roughly two-thirds of respondents indicate that they teleconference more often. We estimate that structural, post-pandemic increases in working from home and teleconferencing will result in a negative effect on distances travelled by train (-3% to -9%), by bus, tram, and metro (-1% to -5%) and car (-1 to -5%). The estimated effect on the distance travelled by bicycle (-2% to 0%), and walking (0% to +1%) is smaller or even positive, due to people making more complementary trips for other purposes when working from home. When interpreting these results, we should keep in mind that due to various other factors, such as population growth, total travel demand will still grow in the near future.
{"title":"Estimating post-pandemic effects of working from home and teleconferencing on travel behaviour","authors":"Roel Faber, Marije Hamersma, Mathijs De Haas, Lizet Krabbenborg, Arjen 't Hoen","doi":"10.18757/ejtir.2023.23.1.6733","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.1.6733","url":null,"abstract":"Like in many other countries, the Dutch government instructed people to work from home where possible during the COVID-19 pandemic to halt the transmission of the virus. This policy seems to have resulted in a structural increase in working from home and teleconferencing that will outlast the pandemic. However, the longer-term effects on travel behaviour are still unclear. Making use of panel data collected using the Netherlands Mobility Panel, this paper has two main aims. First, it analyses developments in working from home and teleconferencing since COVID-19. Second, it estimates the expected post-pandemic effects on travel behaviour. The results show that compared to before the pandemic, the average number of hours that people work from home has doubled and roughly two-thirds of respondents indicate that they teleconference more often. We estimate that structural, post-pandemic increases in working from home and teleconferencing will result in a negative effect on distances travelled by train (-3% to -9%), by bus, tram, and metro (-1% to -5%) and car (-1 to -5%). The estimated effect on the distance travelled by bicycle (-2% to 0%), and walking (0% to +1%) is smaller or even positive, due to people making more complementary trips for other purposes when working from home. When interpreting these results, we should keep in mind that due to various other factors, such as population growth, total travel demand will still grow in the near future.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136259477","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 : 2023-01-01DOI: 10.18757/ejtir.2023.23.2.6666
Lefeng Shi, Guanhong Chen, Song Wang
This paper aims to analyze the deep reason why there exists hesitation when investors decide whether invest in EV charging facilities (ECFs). To this end, a series of theoretic models are built and derived, and some enlightening results are got. The main results confirm that charging facility investors are insufficiently motivated to follow a moderately aggressive investment strategy in the early stages of EV development. For stimulating ECFs’ investment, the marginal conditions in which the investors choose active or conservative investment strategies to lay out charging facilities are analyzed, and the effects under different ECFs investment strategies are quantized in terms of driving the market development of EVs. Based on the findings, relevant policy suggestions are proposed. Finally, to verify the gained results, a case study in the context of China is given.
{"title":"Dynamic analysis of the investment decision of electric vehicle charging facilities and the promotion effect measurement for electric vehicles","authors":"Lefeng Shi, Guanhong Chen, Song Wang","doi":"10.18757/ejtir.2023.23.2.6666","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.2.6666","url":null,"abstract":"This paper aims to analyze the deep reason why there exists hesitation when investors decide whether invest in EV charging facilities (ECFs). To this end, a series of theoretic models are built and derived, and some enlightening results are got. The main results confirm that charging facility investors are insufficiently motivated to follow a moderately aggressive investment strategy in the early stages of EV development. For stimulating ECFs’ investment, the marginal conditions in which the investors choose active or conservative investment strategies to lay out charging facilities are analyzed, and the effects under different ECFs investment strategies are quantized in terms of driving the market development of EVs. Based on the findings, relevant policy suggestions are proposed. Finally, to verify the gained results, a case study in the context of China is given.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136259623","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 : 2023-01-01DOI: 10.18757/ejtir.2023.23.1.6553
Elina Aittoniemi, Teemu Itkonen, Satu Innamaa
Impacts of driving automation on traffic flow and emissions are usually studied with traffic simulations using only few speed limits and traffic volumes. Without considering the real-world prevalence of simulated scenarios, it is unknown how the results translate to real-world conditions, such as a regional motorway network. The present study assessed the potential impacts of conditionally automated driving, described by stable vehicle motion control and longer time gaps, on the European motorway network assuming no changes in other influential factors, such as travel demand or vehicle fleet. Traffic simulations provided estimates of the effect magnitude per vehicle kilometre travelled (VKT) in representative conditions, and results were scaled up using map-, traffic- and weather-related data, accounting for the VKT per condition. Overall, the impacts of automated vehicles (AVs) on the European motorway network are likely small. Travel times and delay are estimated to increase by 0.8% and 1.3% respectively at a 100% AV penetration rate among passenger cars, and CO2 emissions to drop by 0.5%. While large reductions of average travel time (up to 8.0–10.4%), delay (up to 17.5–34.8%) and emissions (up to 13.5–15.0%) were found at high traffic volumes, most (86%) of the VKT accumulate at low traffic volumes, with small estimated effects. Thus, although beneficial in some conditions, the AVs considered in this study are not likely to support Europe’s sustainability goals. Findings advocate a comprehensive approach: Whereas impacts are likely greatest in heavy traffic, the prevalence of conditions must be considered in network level assessment.
{"title":"Travel time, delay and CO2 impacts of SAE L3 driving automation of passenger cars on the European motorway network","authors":"Elina Aittoniemi, Teemu Itkonen, Satu Innamaa","doi":"10.18757/ejtir.2023.23.1.6553","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.1.6553","url":null,"abstract":"Impacts of driving automation on traffic flow and emissions are usually studied with traffic simulations using only few speed limits and traffic volumes. Without considering the real-world prevalence of simulated scenarios, it is unknown how the results translate to real-world conditions, such as a regional motorway network. The present study assessed the potential impacts of conditionally automated driving, described by stable vehicle motion control and longer time gaps, on the European motorway network assuming no changes in other influential factors, such as travel demand or vehicle fleet. Traffic simulations provided estimates of the effect magnitude per vehicle kilometre travelled (VKT) in representative conditions, and results were scaled up using map-, traffic- and weather-related data, accounting for the VKT per condition. Overall, the impacts of automated vehicles (AVs) on the European motorway network are likely small. Travel times and delay are estimated to increase by 0.8% and 1.3% respectively at a 100% AV penetration rate among passenger cars, and CO2 emissions to drop by 0.5%. While large reductions of average travel time (up to 8.0–10.4%), delay (up to 17.5–34.8%) and emissions (up to 13.5–15.0%) were found at high traffic volumes, most (86%) of the VKT accumulate at low traffic volumes, with small estimated effects. Thus, although beneficial in some conditions, the AVs considered in this study are not likely to support Europe’s sustainability goals. Findings advocate a comprehensive approach: Whereas impacts are likely greatest in heavy traffic, the prevalence of conditions must be considered in network level assessment.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136259482","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 : 2023-01-01DOI: 10.18757/ejtir.2023.23.1.6892
Bert Van Wee
This Special Issue has its basis in the BIVEC-GIBET Transport Research Days 2021. The three papers reflect the broad scope of the BIVEC-GIBET, including several disciplines, all transport modes, and many research methods. What the research of BIVEC-GIBET has in common, is a focus on societally and policy relevant research.
{"title":"BIVEC 2021 Special Issue Editorial Note","authors":"Bert Van Wee","doi":"10.18757/ejtir.2023.23.1.6892","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.1.6892","url":null,"abstract":"This Special Issue has its basis in the BIVEC-GIBET Transport Research Days 2021. The three papers reflect the broad scope of the BIVEC-GIBET, including several disciplines, all transport modes, and many research methods. What the research of BIVEC-GIBET has in common, is a focus on societally and policy relevant research.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136259478","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 : 2023-01-01DOI: 10.18757/ejtir.2023.23.2.6786
Filippo Maria Ottaviani, Giovanni Zenezini, Alberto De Marco, Antonio Carlin
Logistics Service Providers (LSP) are increasingly adopting Automated Parcel Lockers (APLs) to mitigate the operational pressure of last-mile logistics. The optimal location of APL stations is key for reaching customers’ demand while keeping the investment reasonable. Previous studies developed optimization algorithms and applied them to virtual instances of the problem, lacking applicability to real-life situations encountered by LSPs who aim to serve an urban area with such technology. This study proposes a novel solution to the APLs location problem by combining mixed-integer linear programming and greedy heuristics algorithms. The study tested the propose solution on real customers’ demand data related to Turin, Italy. Results show that covering 90% of the estimated potential demand requires 10 to 11 APLs, on average. The adopted approach enables finding an optimal solution grounded in a real geographical context without requiring time-consuming optimization.
{"title":"Locating Automated Parcel Lockers (APL) with known customers’ demand: a mixed approach proposal","authors":"Filippo Maria Ottaviani, Giovanni Zenezini, Alberto De Marco, Antonio Carlin","doi":"10.18757/ejtir.2023.23.2.6786","DOIUrl":"https://doi.org/10.18757/ejtir.2023.23.2.6786","url":null,"abstract":"Logistics Service Providers (LSP) are increasingly adopting Automated Parcel Lockers (APLs) to mitigate the operational pressure of last-mile logistics. The optimal location of APL stations is key for reaching customers’ demand while keeping the investment reasonable. Previous studies developed optimization algorithms and applied them to virtual instances of the problem, lacking applicability to real-life situations encountered by LSPs who aim to serve an urban area with such technology. This study proposes a novel solution to the APLs location problem by combining mixed-integer linear programming and greedy heuristics algorithms. The study tested the propose solution on real customers’ demand data related to Turin, Italy. Results show that covering 90% of the estimated potential demand requires 10 to 11 APLs, on average. The adopted approach enables finding an optimal solution grounded in a real geographical context without requiring time-consuming optimization.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136259621","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 : 2021-11-10DOI: 10.18757/EJTIR.2021.21.4.5703
Dharitri Kahali, R. Rastogi
Selection of a count interval to extract flow data on pedestrian facilities seems to be governed by the operational environment of the facility and context of the study. Based on the flow condition, which may be intermittent, uniform, or periodic, the count interval has been found varying between 1 minute and 5 minutes. For instantaneous peaks, it is reduced to even 10s. The selection of a count interval will impact the flow values and subsequently the design requirements and operational efficiency. Present study, in this light, focusses on escalators located at metro rail stations. The study region is Delhi, India. Based on the analysis, the count interval for data extraction is recommended as 24 seconds, which is expected to result in a flow that does not cause unnecessary increase in facility size and keep it usable for most of the time. The absolute design flow value may be considered between 140–148 ped/m/min, which is the 5th highest rank order peak flow. The results are expected to optimize the resources, both for data collection and size of a facility.
{"title":"Passenger Flows at Escalators – Arriving at Count Interval for Design Flow Estimation","authors":"Dharitri Kahali, R. Rastogi","doi":"10.18757/EJTIR.2021.21.4.5703","DOIUrl":"https://doi.org/10.18757/EJTIR.2021.21.4.5703","url":null,"abstract":"Selection of a count interval to extract flow data on pedestrian facilities seems to be governed by the operational environment of the facility and context of the study. Based on the flow condition, which may be intermittent, uniform, or periodic, the count interval has been found varying between 1 minute and 5 minutes. For instantaneous peaks, it is reduced to even 10s. The selection of a count interval will impact the flow values and subsequently the design requirements and operational efficiency. Present study, in this light, focusses on escalators located at metro rail stations. The study region is Delhi, India. Based on the analysis, the count interval for data extraction is recommended as 24 seconds, which is expected to result in a flow that does not cause unnecessary increase in facility size and keep it usable for most of the time. The absolute design flow value may be considered between 140–148 ped/m/min, which is the 5th highest rank order peak flow. The results are expected to optimize the resources, both for data collection and size of a facility.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42909828","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 : 2021-11-08DOI: 10.18757/EJTIR.2021.21.4.5474
Vendela Santén, S. Rogerson, J. Williamsson, J. Woxenius
Modal shift from road to water is a strategy prioritised by both the European Union and many of its member states. However, inland waterways remain underutilised in most member states, and even the small number of countries in which inland waterway transport is well established, the sector faces fierce competition from road-based solutions. There is potential to develop tools and strategies for expanding the use of inland waterways by better understanding what activities key actors can rely on to facilitate modal shift. In this multiple-case study, we identify activities that actors perform to realise modal shift to inland waterways in five cases from the North Sea Region, by conducting interviews, workshops, and field observations. In each case, the process of modal shift varied depending upon which actor initiated specific activities, the order of performing activities and the number of iterations required to advance. Activities revolved around understanding the current situation, identifying potential solutions, testing solutions and promoting solutions. Getting stakeholders on board and identifying goods flows were integrated in all themes. The structured and emergent approach were outlined, highlighting varying starting points (mature or immature market) and actor engagement (facilitating or initiating roles). Different actors could assume leading roles. Authorities can target initiatives and policies to form relevant alliances and support modal shift by approach, while practitioners can relate and be inspired by the described activities in the varying contexts and adhere to entrepreneurial roles. Realising large-scale modal shift requires multi-actor engagement, openness to emergent solutions and long-term endurance.
{"title":"Modal shift to inland waterway transport","authors":"Vendela Santén, S. Rogerson, J. Williamsson, J. Woxenius","doi":"10.18757/EJTIR.2021.21.4.5474","DOIUrl":"https://doi.org/10.18757/EJTIR.2021.21.4.5474","url":null,"abstract":"Modal shift from road to water is a strategy prioritised by both the European Union and many of its member states. However, inland waterways remain underutilised in most member states, and even the small number of countries in which inland waterway transport is well established, the sector faces fierce competition from road-based solutions. There is potential to develop tools and strategies for expanding the use of inland waterways by better understanding what activities key actors can rely on to facilitate modal shift. In this multiple-case study, we identify activities that actors perform to realise modal shift to inland waterways in five cases from the North Sea Region, by conducting interviews, workshops, and field observations. In each case, the process of modal shift varied depending upon which actor initiated specific activities, the order of performing activities and the number of iterations required to advance. Activities revolved around understanding the current situation, identifying potential solutions, testing solutions and promoting solutions. Getting stakeholders on board and identifying goods flows were integrated in all themes. The structured and emergent approach were outlined, highlighting varying starting points (mature or immature market) and actor engagement (facilitating or initiating roles). Different actors could assume leading roles. Authorities can target initiatives and policies to form relevant alliances and support modal shift by approach, while practitioners can relate and be inspired by the described activities in the varying contexts and adhere to entrepreneurial roles. Realising large-scale modal shift requires multi-actor engagement, openness to emergent solutions and long-term endurance.","PeriodicalId":46721,"journal":{"name":"European Journal of Transport and Infrastructure Research","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41954316","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 : 2021-10-20DOI: 10.18757/EJTIR.2021.21.4.5453
Gerben M. Scheepmaker, R. Goverde
Energy-efficient train driving is an important topic to railway undertakings (RUs) for sustainability and cost reduction. The timetable affects the possibilities for energy-efficient train driving by the amount of running time supplements, which is the topic of energy-efficient train timetabling (EETT). The scientific literature on EETT focuses mainly on the balance between total running time and energy consumption. However, in practice RUs consider a trade-off between the total running time, the infrastructure occupation and the timetable robustness, while energy efficiency is not considered. In this paper we consider a multiple-objective timetabling problem at a microscopic infrastructure level that adds energy consumption to the other three objectives. We approach the multiple-objective problem by a brute force search algorithm, where we use two different methods to compute the optimal solution: a weighted sum method and a distance metric method. We apply the method to a Dutch case study on the corridor between the stations Arnhem Central and Nijmegen with alternating Intercity and Sprinter trains, without intermediate overtaking possibilities. The results indicate that there is a balancing relationship between the total running time and energy consumption, without influencing the infrastructure occupation and robustness. The results of the 10 Pareto-optimal solutions show a variation of 5% for the total running time, 18% for the energy consumption, 0.3% for the extended cycle time, and 0.8% for the buffer time. The shortest running time leads to 18% more energy consumption than the longest running time with 5% more running time supplement. In both cases the extended cycle time and buffer time are almost constant. On the other hand, reducing the infrastructure occupation leads to homogenization of the timetable. Therefore, including energy consumption in the multiple-objective can be used to balance the trade-off between total running time and capacity consumption.
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