Pub Date : 2024-10-22DOI: 10.1016/j.cstp.2024.101310
Jiale Xiang , Chunhui Zhou , Junnan Zhao , Myo Ko Ko Latt , Kunlong Wen , Langxiong Gan
Upon arrival at ports, selecting the appropriate anchorage is a critical concern shared by ship captains and port managers. This study aims to exploit the rich geographic and semantic information embedded in historical ship trajectory data to construct a micro-network of port elements and employ network analysis techniques to mine spatial service relationships among port elements, thereby establishing an Anchorage Selection Decision Support (ASDS) model. This process involves extracting vessels’ dwell location information within ports from trajectory data and using this information and its sequence to establish an Anchorages-Berths Micro-Network (ABMN) in port. By applying association rule mining techniques, this research reveals the spatial service relationships within the micro-network between anchorages and berths, and integrates relevant indicators to develop the ASDS model. The aim is to help pilots of approaching vessels in making more rational anchorage choices, thus optimizing the operational efficiency of vessels in ports. The effectiveness of this approach has been validated through experiments conducted in the research region at the Nanjing port of the Yangtze River. This research is significant for exploring the correlation between port anchorages and berths, as well as for selecting appropriate anchorages for vessels arriving at the port.
{"title":"A micro-network within the port for vessel anchorage selection decision support","authors":"Jiale Xiang , Chunhui Zhou , Junnan Zhao , Myo Ko Ko Latt , Kunlong Wen , Langxiong Gan","doi":"10.1016/j.cstp.2024.101310","DOIUrl":"10.1016/j.cstp.2024.101310","url":null,"abstract":"<div><div>Upon arrival at ports, selecting the appropriate anchorage is a critical concern shared by ship captains and port managers. This study aims to exploit the rich geographic and semantic information embedded in historical ship trajectory data to construct a micro-network of port elements and employ network analysis techniques to mine spatial service relationships among port elements, thereby establishing an Anchorage Selection Decision Support (ASDS) model. This process involves extracting vessels’ dwell location information within ports from trajectory data and using this information and its sequence to establish an Anchorages-Berths Micro-Network (ABMN) in port. By applying association rule mining techniques, this research reveals the spatial service relationships within the micro-network between anchorages and berths, and integrates relevant indicators to develop the ASDS model. The aim is to help pilots of approaching vessels in making more rational anchorage choices, thus optimizing the operational efficiency of vessels in ports. The effectiveness of this approach has been validated through experiments conducted in the research region at the Nanjing port of the Yangtze River. This research is significant for exploring the correlation between port anchorages and berths, as well as for selecting appropriate anchorages for vessels arriving at the port.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101310"},"PeriodicalIF":2.4,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.cstp.2024.101305
Ilgin Gokasar , Ece Ozcan , Muhammet Deveci
The COVID-19 pandemic emerged as a very influential occurrence with a profound impact on a global scale. The onset of the pandemic abruptly disrupted the regular course of everyday activities, primarily impacting urban regions. Hence, it is imperative to understand the effects of the COVID-19 pandemic on modern urban areas. This study seeks to analyze the effect of the pandemic on travel behavior by utilizing GPS data obtained from taxis, with a specific focus on spatial socioeconomic features. The M2 metro line in Istanbul has been selected for evaluation. In this analysis, four distinct periods are considered: total, off-peak, morning, and evening peaks. The stations are categorized using K-means clustering. The estimation models are constructed using ordinary least squares (OLS), spatial autoregression (SAR), and geographically weighted regression (GWR) techniques, which are applied to the variation in daily average cab trips and the characteristics of stations. The GWR models provide superior performance in comparison to the other two models, with notable distinctions observed in peak times, particularly morning peak when compared to total and off-peak counts. The findings indicate that factors such as population, population density, socioeconomic status, and the quantity of shopping malls are influential variables in elucidating and forecasting the fluctuations in taxi trip counts.
COVID-19 大流行是一次极具影响力的事件，在全球范围内产生了深远的影响。大流行病的爆发突然打乱了日常活动的正常进程，主要影响到城市地区。因此，了解 COVID-19 大流行对现代城市地区的影响势在必行。本研究试图利用从出租车上获取的 GPS 数据分析大流行病对出行行为的影响，并特别关注空间社会经济特征。伊斯坦布尔的 M2 地铁线被选作评估对象。在分析中，考虑了四个不同的时段：总高峰、非高峰、早高峰和晚高峰。车站采用 K 均值聚类法进行分类。利用普通最小二乘法（OLS）、空间自回归（SAR）和地理加权回归（GWR）技术构建了估算模型，并将其应用于日均出租车出行量的变化和车站的特征。与其他两种模型相比，地理加权回归模型具有更优越的性能，在高峰时段，特别是早高峰与总计数和非高峰计数相比，观察到明显的差异。研究结果表明，人口、人口密度、社会经济地位和购物中心数量等因素是阐明和预测出租车出行次数波动的影响变量。
{"title":"Towards socially equitable public transport systems: The effect of COVID-19 on taxi trip behavior","authors":"Ilgin Gokasar , Ece Ozcan , Muhammet Deveci","doi":"10.1016/j.cstp.2024.101305","DOIUrl":"10.1016/j.cstp.2024.101305","url":null,"abstract":"<div><div>The COVID-19 pandemic emerged as a very influential occurrence with a profound impact on a global scale. The onset of the pandemic abruptly disrupted the regular course of everyday activities, primarily impacting urban regions. Hence, it is imperative to understand the effects of the COVID-19 pandemic on modern urban areas. This study seeks to analyze the effect of the pandemic on travel behavior by utilizing GPS data obtained from taxis, with a specific focus on spatial socioeconomic features. The M2 metro line in Istanbul has been selected for evaluation. In this analysis, four distinct periods are considered: total, off-peak, morning, and evening peaks. The stations are categorized using K-means clustering. The estimation models are constructed using ordinary least squares (OLS), spatial autoregression (SAR), and geographically weighted regression (GWR) techniques, which are applied to the variation in daily average cab trips and the characteristics of stations. The GWR models provide superior performance in comparison to the other two models, with notable distinctions observed in peak times, particularly morning peak when compared to total and off-peak counts. The findings indicate that factors such as population, population density, socioeconomic status, and the quantity of shopping malls are influential variables in elucidating and forecasting the fluctuations in taxi trip counts.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101305"},"PeriodicalIF":2.4,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-14DOI: 10.1016/j.cstp.2024.101307
Rong-Chang Jou , Tzu-Ying Chen , David Hensher
This research delves into the determinants affecting Taiwanese college students’ purchasing behavior towards two-wheeled electric vehicles (ETWVs) and the financial allocation they are willing to commit. A choice experiment design was utilized, with a sample of approximately 900 college students, regular users of two-wheeled gasoline vehicles (TWGs). The students engaged in one of two choice scenarios, presented with general characteristics, operational efficiency, vehicle cost, and subsidy strategies. Subsequent to the scenarios, respondents indicated their willingness to pay (WTP) for a ETWV. ETWVs, apart from being an emerging transportation alternative, also present potential environmental and health benefits due to reduced air pollution. The dependent inverse hyperbolic sine (IHS) double-hurdle model was employed, facilitating the accommodation of heteroscedasticity and correlated normality. The outcomes suggest that purchasing behavior for ETWVs among college students is shaped by factors such as purchase subsidy, tax breaks, and ETWVs’ capability in supporting students’ external travel requirements. The average WTP for ETWVs among this demographic stands at US$ 1,410. Importantly, the dependent IHS double-hurdle model, considering heteroscedasticity, proved statistically superior to its counterparts. Insights from this research offer crucial information on the price range students are likely to accommodate for ETWVs and provide a foundation for framing incentive-driven policies to amplify ETWV adoption.
{"title":"Preferable price to buy an electric two-wheeled vehicle for college students","authors":"Rong-Chang Jou , Tzu-Ying Chen , David Hensher","doi":"10.1016/j.cstp.2024.101307","DOIUrl":"10.1016/j.cstp.2024.101307","url":null,"abstract":"<div><div>This research delves into the determinants affecting Taiwanese college students’ purchasing behavior towards two-wheeled electric vehicles (ETWVs) and the financial allocation they are willing to commit. A choice experiment design was utilized, with a sample of approximately 900 college students, regular users of two-wheeled gasoline vehicles (TWGs). The students engaged in one of two choice scenarios, presented with general characteristics, operational efficiency, vehicle cost, and subsidy strategies. Subsequent to the scenarios, respondents indicated their willingness to pay (WTP) for a ETWV. ETWVs, apart from being an emerging transportation alternative, also present potential environmental and health benefits due to reduced air pollution. The dependent inverse hyperbolic sine (IHS) double-hurdle model was employed, facilitating the accommodation of heteroscedasticity and correlated normality. The outcomes suggest that purchasing behavior for ETWVs among college students is shaped by factors such as purchase subsidy, tax breaks, and ETWVs’ capability in supporting students’ external travel requirements. The average WTP for ETWVs among this demographic stands at US$ 1,410. Importantly, the dependent IHS double-hurdle model, considering heteroscedasticity, proved statistically superior to its counterparts. Insights from this research offer crucial information on the price range students are likely to accommodate for ETWVs and provide a foundation for framing incentive-driven policies to amplify ETWV adoption.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101307"},"PeriodicalIF":2.4,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-13DOI: 10.1016/j.cstp.2024.101306
Xueqing Bo , Shintaro Terabe , Hideki Yaginuma , Kosuke Tanaka , Haruka Uno
Railway facilities, which are part of the service environment, may affect passenger delay tolerance during delays. With the increasing frequency of railway delays, it is essential for railway companies to understand how passengers perceive these disruptions and railway facilities. While previous studies have examined the relationship between satisfaction and tolerance in interpersonal relationships, less is known about the impact of service environments, such as railway facilities, on perceptions in transportation settings. This study investigates the relationship between passenger satisfaction with railway facilities and their tolerance of delays in hypothetical scenarios, covering both short and long delays during morning and evening commute. The results of structural equation modeling show that railway satisfaction positively affects delay tolerance, while anxiety caused by unclear information during delays negatively affects tolerance. Additionally, the study identified the facility improvements that would enhance service quality. These findings offer actionable insights for railway companies to mitigate the impact of delays and improve passenger experiences.
{"title":"Analysis of relationship between railway satisfaction and delay tolerance","authors":"Xueqing Bo , Shintaro Terabe , Hideki Yaginuma , Kosuke Tanaka , Haruka Uno","doi":"10.1016/j.cstp.2024.101306","DOIUrl":"10.1016/j.cstp.2024.101306","url":null,"abstract":"<div><div>Railway facilities, which are part of the service environment, may affect passenger delay tolerance during delays. With the increasing frequency of railway delays, it is essential for railway companies to understand how passengers perceive these disruptions and railway facilities. While previous studies have examined the relationship between satisfaction and tolerance in interpersonal relationships, less is known about the impact of service environments, such as railway facilities, on perceptions in transportation settings. This study investigates the relationship between passenger satisfaction with railway facilities and their tolerance of delays in hypothetical scenarios, covering both short and long delays during morning and evening commute. The results of structural equation modeling show that railway satisfaction positively affects delay tolerance, while anxiety caused by unclear information during delays negatively affects tolerance. Additionally, the study identified the facility improvements that would enhance service quality. These findings offer actionable insights for railway companies to mitigate the impact of delays and improve passenger experiences.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101306"},"PeriodicalIF":2.4,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-10DOI: 10.1016/j.cstp.2024.101303
Kadir Dönmez
The rapid rise in global air traffic poses significant challenges for airports, particularly in maintaining operational safety and efficiency. One of the main issues is the risk of runway crossings during ground movements, which can lead to runway incursions. This is particularly problematic in airports with parallel runway operations, where managing multiple runways and ground movements is more complex. End-Around Taxiways (EATs) have been introduced as a strategic solution to mitigate these risks. However, their implementation also introduces new operational challenges and complexities. This study evaluates the impact of EATs on Istanbul Airport (LTFM), one of Europe’s busiest airports. Using Automatic Dependent Surveillance-Broadcast (ADS-B) data, the research examines the use of EATs in taxi times, acceleration counts and durations, stop-and-go counts, level-off times, hot spots, gate and stand usages by developing new catchment algorithms. The findings show that EATs present operational challenges such as increased taxi times, number of acceleration movements, and level off times. The study emphasizes the need to consider local airport configurations when implementing EATs and suggests new constraints to optimize their usage.
{"title":"The operational dynamics of end-around taxiways: Insights from Istanbul Airport","authors":"Kadir Dönmez","doi":"10.1016/j.cstp.2024.101303","DOIUrl":"10.1016/j.cstp.2024.101303","url":null,"abstract":"<div><div>The rapid rise in global air traffic poses significant challenges for airports, particularly in maintaining operational safety and efficiency. One of the main issues is the risk of runway crossings during ground movements, which can lead to runway incursions. This is particularly problematic in airports with parallel runway operations, where managing multiple runways and ground movements is more complex. End-Around Taxiways (EATs) have been introduced as a strategic solution to mitigate these risks. However, their implementation also introduces new operational challenges and complexities. This study evaluates the impact of EATs on Istanbul Airport (LTFM), one of Europe’s busiest airports. Using Automatic Dependent Surveillance-Broadcast (ADS-B) data, the research examines the use of EATs in taxi times, acceleration counts and durations, stop-and-go counts, level-off times, hot spots, gate and stand usages by developing new catchment algorithms. The findings show that EATs present operational challenges such as increased taxi times, number of acceleration movements, and level off times. The study emphasizes the need to consider local airport configurations when implementing EATs and suggests new constraints to optimize their usage.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101303"},"PeriodicalIF":2.4,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-09DOI: 10.1016/j.cstp.2024.101302
Daniel Schröder , Mor Kaspi
Mobility On Demand (MOD) services, such as ride-pooling, provide convenient and cost-effective transportation options. While previous studies focused on operational costs and service quality, we take a broader perspective by examining the external costs associated with autonomous ride-pooling services. Incorporating external costs into the design and evaluation of MOD services enables a comprehensive understanding of their impact on the entire urban population, informing effective regulations and incentives. We present an approach for calculating space-varying external costs, accounting for factors like air pollution, climate impact, noise and accidents. These costs are integrated into FleetPy, an agent-based simulation tool for ridesharing analysis and optimization. A case study in Munich uncovers the tradeoffs between external costs, internal costs, and service quality. Our findings suggest that mid-sized vehicles with a three-person capacity strike a balance between energy efficiency and transport capacity. By applying our approach, external costs can be reduced by up to 37%.
按需移动（MOD）服务，如拼车，提供了便捷且经济高效的交通选择。以往的研究侧重于运营成本和服务质量，而我们则从更广阔的视角出发，研究了与自主拼车服务相关的外部成本。将外部成本纳入 MOD 服务的设计和评估中，可以全面了解其对整个城市人口的影响，从而制定有效的法规和激励措施。我们提出了一种计算空间变化外部成本的方法，其中考虑了空气污染、气候影响、噪音和事故等因素。这些成本被整合到基于代理的模拟工具 FleetPy 中，用于共享出行的分析和优化。慕尼黑的一项案例研究揭示了外部成本、内部成本和服务质量之间的权衡。我们的研究结果表明，可容纳三人的中型车辆可以在能源效率和运输能力之间取得平衡。采用我们的方法，外部成本最多可降低 37%。
{"title":"Quantifying the external costs of autonomous on-demand ride pooling services","authors":"Daniel Schröder , Mor Kaspi","doi":"10.1016/j.cstp.2024.101302","DOIUrl":"10.1016/j.cstp.2024.101302","url":null,"abstract":"<div><div>Mobility On Demand (MOD) services, such as ride-pooling, provide convenient and cost-effective transportation options. While previous studies focused on operational costs and service quality, we take a broader perspective by examining the external costs associated with autonomous ride-pooling services. Incorporating external costs into the design and evaluation of MOD services enables a comprehensive understanding of their impact on the entire urban population, informing effective regulations and incentives. We present an approach for calculating space-varying external costs, accounting for factors like air pollution, climate impact, noise and accidents. These costs are integrated into FleetPy, an agent-based simulation tool for ridesharing analysis and optimization. A case study in Munich uncovers the tradeoffs between external costs, internal costs, and service quality. Our findings suggest that mid-sized vehicles with a three-person capacity strike a balance between energy efficiency and transport capacity. By applying our approach, external costs can be reduced by up to 37%.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101302"},"PeriodicalIF":2.4,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1016/j.cstp.2024.101289
Stella Roussou, Virginia Petraki, Katerina Deliali, Armira Kontaxi, George Yannis
The objective of this research is to investigate public acceptance and socio-economic feasibility of reducing speed limit from 50 km/h to 30 km/h in certain parts of the road network of Athens, Greece. A questionnaire was developed based on the method of stated preference for various hypothetical scenarios of time, fuel consumption and the probability of road crash to investigate road user preferences towards the reduction of speed limit and identify the most important influencing factors preferences. A total of 408 respondents were asked to choose among three alternative proposals: a) Reduce the speed limit to 30 km/h throughout the urban network except on major arteries, b) Reduce the speed limit to 30 km/h throughout the urban network and c) No Reduction (do nothing). For the analysis, two binomial logistic regression models and two multinomial logistic regression models were developed. The results indicate that increase in travel time, the importance of speed in causing a crash, the number of crashes the user has been involved in, the respondent’s driving habits are the main determinants of the users’ preferences. Furthermore, a Cost Benefit Analysis (CBA) was conducted to understand the sustainability implications of the implementation of lower speed limits (i.e., 50 to 30 km/h). In terms of socio-economic impacts, the CBA considered safety-related metrics, namely the number of road casualties of all severity levels, and environmental-related metrics, namely reductions in CO2, NOx, PM levels as well as in road user surplus metrics namely travel time increase and fuel consumption reduction. Costs considered in the analysis result from increased time spent on the road. Consequently, the investment and the operational costs along with the socio-economic impact are estimated and monetized, up to the year 2030. The positive Net Present Value (NPV) and the high Internal Rate of Return (IRR), i.e. 64.5 %, obtained as well as the sensitivity analysis results, indicate the feasibility of this policy over time. Therefore, speed limit reductions are economically viable and so, should be encouraged.
{"title":"Cost benefit analysis of reducing speed limits in Athens to 30 Km/h","authors":"Stella Roussou, Virginia Petraki, Katerina Deliali, Armira Kontaxi, George Yannis","doi":"10.1016/j.cstp.2024.101289","DOIUrl":"10.1016/j.cstp.2024.101289","url":null,"abstract":"<div><div>The objective of this research is to investigate public acceptance and socio-economic feasibility of reducing speed limit from 50 km/h to 30 km/h in certain parts of the road network of Athens, Greece. A questionnaire was developed based on the method of stated preference for various hypothetical scenarios of time, fuel consumption and the probability of road crash to investigate road user preferences towards the reduction of speed limit and identify the most important influencing factors preferences. A total of 408 respondents were asked to choose among three alternative proposals: a) Reduce the speed limit to 30 km/h throughout the urban network except on major arteries, b) Reduce the speed limit to 30 km/h throughout the urban network and c) No Reduction (do nothing). For the analysis, two binomial logistic regression models and two multinomial logistic regression models were developed. The results indicate that increase in travel time, the importance of speed in causing a crash, the number of crashes the user has been involved in, the respondent’s driving habits are the main determinants of the users’ preferences. Furthermore, a Cost Benefit Analysis (CBA) was conducted to understand the sustainability implications of the implementation of lower speed limits (i.e., 50 to 30 km/h). In terms of socio-economic impacts, the CBA considered safety-related metrics, namely the number of road casualties of all severity levels, and environmental-related metrics, namely reductions in CO2, NOx, PM levels as well as in road user surplus metrics namely travel time increase and fuel consumption reduction. Costs considered in the analysis result from increased time spent on the road. Consequently, the investment and the operational costs along with the socio-economic impact are estimated and monetized, up to the year 2030. The positive Net Present Value (NPV) and the high Internal Rate of Return (IRR), i.e. 64.5 %, obtained as well as the sensitivity analysis results, indicate the feasibility of this policy over time. Therefore, speed limit reductions are economically viable and so, should be encouraged.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101289"},"PeriodicalIF":2.4,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-26DOI: 10.1016/j.cstp.2024.101301
Chuanzhong Yin, Xiaoxue Feng
The construction of high-speed railway (HSR) can effectively release the freight capacity of existing railways. By analyzing the influencing factors of passengers’ travel choices, the Utility Function and Logit model are adopted to calculate the utility and passenger flow split rate, and get the passenger flow of the existing railways after the diversion of the newly-built HSR. The passenger flow allocation model is established based on User Equilibrium, and improved Frank-Wolfe (FW) algorithm is applied to solve it, and obtain the passenger capacity of the sections on existing railways. Based on the deduction coefficient method, the passenger capacity is deducted from total capacity to get the freight capacity of each section on existing railways after release. Finally, take the railway channel in the Yangtze River Delta as a case, the results show that after the construction of the HSR, the freight capacity of sections on existing railways in the Yangtze River Delta is released to varying degrees. The freight capacity of Hefei-Wuhu section will be released the most, which is 19.5 pairs of trains, while that of Shanghai-Jiaxing section is the least, which is only 3.5 pairs, following by Wenzhou-Jinhua and Hangzhou-Ningbo sections, which are 4 pairs. Therefore, the construction of HSR should be accompanied by focusing on sections with less released freight capacity to enhance the overall capacity of the regional railway network.
{"title":"Impact of high-speed railway construction on freight capacity on sections of existing railways- A case on the Yangtze River Delta","authors":"Chuanzhong Yin, Xiaoxue Feng","doi":"10.1016/j.cstp.2024.101301","DOIUrl":"10.1016/j.cstp.2024.101301","url":null,"abstract":"<div><div>The construction of high-speed railway (HSR) can effectively release the freight capacity of existing railways. By analyzing the influencing factors of passengers’ travel choices, the Utility Function and Logit model are adopted to calculate the utility and passenger flow split rate, and get the passenger flow of the existing railways after the diversion of the newly-built HSR. The passenger flow allocation model is established based on User Equilibrium, and improved Frank-Wolfe (FW) algorithm is applied to solve it, and obtain the passenger capacity of the sections on existing railways. Based on the deduction coefficient method, the passenger capacity is deducted from total capacity to get the freight capacity of each section on existing railways after release. Finally, take the railway channel in the Yangtze River Delta as a case, the results show that after the construction of the HSR, the freight capacity of sections on existing railways in the Yangtze River Delta is released to varying degrees. The freight capacity of Hefei-Wuhu section will be released the most, which is 19.5 pairs of trains, while that of Shanghai-Jiaxing section is the least, which is only 3.5 pairs, following by Wenzhou-Jinhua and Hangzhou-Ningbo sections, which are 4 pairs. Therefore, the construction of HSR should be accompanied by focusing on sections with less released freight capacity to enhance the overall capacity of the regional railway network.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101301"},"PeriodicalIF":2.4,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
People show different behaviors when facing congestion pricing policy. A literature review reveals that the variables affecting behaviors such as trip cancellation in the case of the implementation of transportation demand management (TDM) policies have received less attention. Therefore, the present study aimed to investigate the effects of travelers’ characteristics, citizens’ attitudes towards TDM policies, socioeconomic variables, and five TDM policies on trip cancellation behavior among private car users entering congestion charge zones. The statistical population contained 2256 participants; each participant answered six scenarios resulting in 13,536 observations. The use of Stated Preference method is employed to identify the preferences of citizens of Shiraz as a case study. The binary logit model indicated that travelers who had to make essential trips would be less likely to cancel their trips. Also, those who strongly agreed with the idea that congestion pricing could restrict their travel mode choice and those who strongly disagreed that congestion pricing could reduce traffic congestion would be most likely to cancel their trips compared to people with other attitudes. In addition, every minute increase in the time spent in congestion charge zones could decrease the travelers’ tendency to cancel their trips by 0.13%. Likewise, every 10,000 Rials ($0.09) increase in congestion charge could increase the probability of trip cancellation by 0.31%.
{"title":"Evaluating private car users’ preference to congestion pricing: A study on trip cancellation behavior","authors":"Sedigheh KhorramDehnavi , Ali MorovatiSharifabadi , Salman AghidiKheyrabadi , Seyed Mojtaba HosseiniBamakan","doi":"10.1016/j.cstp.2024.101300","DOIUrl":"10.1016/j.cstp.2024.101300","url":null,"abstract":"<div><div>People show different behaviors when facing congestion pricing policy. A literature review reveals that the variables affecting behaviors such as trip cancellation in the case of the implementation of transportation demand management (TDM) policies have received less attention. Therefore, the present study aimed to investigate the effects of travelers’ characteristics, citizens’ attitudes towards TDM policies, socioeconomic variables, and five TDM policies on trip cancellation behavior among private car users entering congestion charge zones. The statistical population contained 2256 participants; each participant answered six scenarios resulting in 13,536 observations. The use of Stated Preference method is employed to identify the preferences of citizens of Shiraz as a case study. The binary logit model indicated that travelers who had to make essential trips would be less likely to cancel their trips. Also, those who strongly agreed with the idea that congestion pricing could restrict their travel mode choice and those who strongly disagreed that congestion pricing could reduce traffic congestion would be most likely to cancel their trips compared to people with other attitudes. In addition, every minute increase in the time spent in congestion charge zones could decrease the travelers’ tendency to cancel their trips by 0.13%. Likewise, every 10,000 Rials ($0.09) increase in congestion charge could increase the probability of trip cancellation by 0.31%.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101300"},"PeriodicalIF":2.4,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-21DOI: 10.1016/j.cstp.2024.101299
Luis Márquez , Victor Cantillo , Carlos D. Paternina-Arboleda
Motivating workers to commute by bicycle could play a key role in reducing congestion, caring for the environment, helping maintain good health and fitness, and improving the well-being of urban societies. To achieve this behavioral change, it is crucial to understand the main factors that influence bicycle use. This study aims to understand the behavior of workers who do not commute by bicycle by integrating the theory of planned behavior (TPB) and social identity into a Hybrid Modal Shift model (HMS) to define measures to motivate them to commute by bicycle. We designed a stated choice experiment comprised of three tangible attributes (i.e., bike lane types, trip-end facilities, and cash incentives). Indicators related to psychological factors of the TPB and social identity, and choices of whether to switch current modes of transportation to the bicycle, were observed through a face-to-face questionnaire addressed to workers who do not commute by bicycle in Bogota, Colombia (N=376). The HMS allowed us to understand the effects of tangible attributes and psychological constructs on the probability of shifting current transportation modes to commuting by bicycle to work. We also obtained the effect of each socioeconomic characteristic on the overall choice of shifting to bicycles. Then, by considering the heterogeneity captured through the psychological constructs, we designed measures based on social identity and some psychological factors of the TPB involving these groups of workers to motivate them to commute by bicycle.
{"title":"Hard and soft measures for motivating workers to commute by bicycle: The case of Bogota","authors":"Luis Márquez , Victor Cantillo , Carlos D. Paternina-Arboleda","doi":"10.1016/j.cstp.2024.101299","DOIUrl":"10.1016/j.cstp.2024.101299","url":null,"abstract":"<div><div>Motivating workers to commute by bicycle could play a key role in reducing congestion, caring for the environment, helping maintain good health and fitness, and improving the well-being of urban societies. To achieve this behavioral change, it is crucial to understand the main factors that influence bicycle use. This study aims to understand the behavior of workers who do not commute by bicycle by integrating the theory of planned behavior (TPB) and social identity into a Hybrid Modal Shift model (HMS) to define measures to motivate them to commute by bicycle. We designed a stated choice experiment comprised of three tangible attributes (i.e., bike lane types, trip-end facilities, and cash incentives). Indicators related to psychological factors of the TPB and social identity, and choices of whether to switch current modes of transportation to the bicycle, were observed through a face-to-face questionnaire addressed to workers who do not commute by bicycle in Bogota, Colombia (N=376). The HMS allowed us to understand the effects of tangible attributes and psychological constructs on the probability of shifting current transportation modes to commuting by bicycle to work. We also obtained the effect of each socioeconomic characteristic on the overall choice of shifting to bicycles. Then, by considering the heterogeneity captured through the psychological constructs, we designed measures based on social identity and some psychological factors of the TPB involving these groups of workers to motivate them to commute by bicycle.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"18 ","pages":"Article 101299"},"PeriodicalIF":2.4,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213624X24001548/pdfft?md5=71152dec59fd074e0f221fec6e70829e&pid=1-s2.0-S2213624X24001548-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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