Pub Date : 2024-11-01DOI: 10.1016/j.trip.2024.101258
Sicheng Wang , Robert B. Noland , Xiao Huang
We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing providers, which included detailed information about all realized ridehailing trips in Chicago, were used to derive mean travel times by ridehailing for each census tract. Inspired by the gravity-based model, we calculated an inverse travel time index based on cumulative travel times for each census tract where ridehailing trips occurred. To understand the disparities in travel times, we compared the inverse travel time index for ridehailing and transit in the same census tracts. Then, we applied spatial autoregressive regression to examine the effects of various sociodemographic factors. The results suggested that the inverse travel time index was preferable in tracts with a higher household income and a lower percentage of minority populations. Also, disparities in travel times tended to be greater via ridehailing than transit. This study sheds light on disparities related to ridehailing and how we could improve access to essential destinations for underserved and underrepresented populations and communities. Policy implications include subsidizing disadvantaged users who lack reliable transportation options, regulating ridehailing prices, increasing the provision of essential destinations for underserved areas, and maintaining the quality of public transit services.
{"title":"Disparities in ridehailing travel times for accessing non-work destinations","authors":"Sicheng Wang , Robert B. Noland , Xiao Huang","doi":"10.1016/j.trip.2024.101258","DOIUrl":"10.1016/j.trip.2024.101258","url":null,"abstract":"<div><div>We contribute to the literature on new mobilities by measuring spatial disparities in travel times for accessing essential non-work destinations via ridehailing. We focused on healthcare, restaurants, and grocery destinations in Chicago. Data from Chicago ridehailing providers, which included detailed information about all realized ridehailing trips in Chicago, were used to derive mean travel times by ridehailing for each census tract. Inspired by the gravity-based model, we calculated an inverse travel time index based on cumulative travel times for each census tract where ridehailing trips occurred. To understand the disparities in travel times, we compared the inverse travel time index for ridehailing and transit in the same census tracts. Then, we applied spatial autoregressive regression to examine the effects of various sociodemographic factors. The results suggested that the inverse travel time index was preferable in tracts with a higher household income and a lower percentage of minority populations. Also, disparities in travel times tended to be greater via ridehailing than transit. This study sheds light on disparities related to ridehailing and how we could improve access to essential destinations for underserved and underrepresented populations and communities. Policy implications include subsidizing disadvantaged users who lack reliable transportation options, regulating ridehailing prices, increasing the provision of essential destinations for underserved areas, and maintaining the quality of public transit services.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101258"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552491","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 : 2024-11-01DOI: 10.1016/j.trip.2024.101266
Mariaelena Tagliabue , Giulia De Cet , Federico Orsini , Massimiliano Gastaldi , Riccardo Rossi
Precision Teaching (PT) is a data-driven educational technique that continuously monitors and adjusts instruction to achieve specific, measurable learning outcomes. This research applies PT principles to train drivers in improving lane maintenance behaviour, focusing on the comparison between feedback delivery modalities, to fill a gap in prior literature due to limited and somewhat conflicting findings.
This study builds upon a previous study, expanding the analysis to encompass a larger cohort of drivers and introducing a new experimental condition. Overall, 80 participants were involved in a driving simulator study in which they were asked to perform four consecutive trials, the first without feedback and others with feedback delivery.
Participants were divided into three groups, each assigned to an experimental condition based on feedback administration: Auditory (A), Visual (V), and combined (VA). All systems provided contingent negative/positive feedback based on participants’ lateral position.
A MANOVA was conducted, with feedback type and trials serving as independent variables. The analysis considered six dependent variables, incorporating four indicators for lane maintenance, along with two variables, mean speed and acceleration, to assess potential indirect effects.
Results reveal that all tested conditions were effective. However, conditions A and VA demonstrated greater effectiveness in reducing the standard deviation of lateral position. The auditory feedback system seems to emerge as the most promising option, likely being less intrusive since it delivered fewer stimuli compared to VA. These findings could be valuable in shaping the design of PT protocols for real-time coaching programs for eco-driving or within usage-based insurance schemes.
精准教学(PT)是一种数据驱动的教育技术,可持续监控和调整教学,以实现特定的、可衡量的学习成果。本研究将精准教学原则应用于培训驾驶员改善车道保持行为,重点是比较不同的反馈方式,以填补以往文献中由于研究结果有限且存在一定冲突而造成的空白。本研究以之前的一项研究为基础,扩大了分析范围,纳入了更多的驾驶员,并引入了新的实验条件。共有 80 名参与者参与了驾驶模拟器研究,他们被要求连续进行四次试验,第一次试验没有反馈,第二次试验有反馈:参与者被分为三组,每组都根据反馈管理分配到一种实验条件:听觉(A)、视觉(V)和综合(VA)。所有系统都根据参与者的横向位置提供或有的负面/正面反馈。进行了 MANOVA 分析,将反馈类型和试验作为自变量。分析考虑了六个因变量,包括车道保持的四个指标,以及平均速度和加速度两个变量,以评估潜在的间接影响。然而,条件 A 和 VA 在减少横向位置标准偏差方面表现出更大的有效性。听觉反馈系统似乎是最有前途的选择,因为与 VA 相比,听觉反馈系统提供的刺激更少,所以干扰性更小。这些研究结果对于设计生态驾驶实时指导计划或基于使用的保险计划中的PT协议很有价值。
{"title":"A comparative analysis of feedback delivery modality within a Precision Teaching protocol to enhance drivers’ lane maintenance","authors":"Mariaelena Tagliabue , Giulia De Cet , Federico Orsini , Massimiliano Gastaldi , Riccardo Rossi","doi":"10.1016/j.trip.2024.101266","DOIUrl":"10.1016/j.trip.2024.101266","url":null,"abstract":"<div><div>Precision Teaching (PT) is a data-driven educational technique that continuously monitors and adjusts instruction to achieve specific, measurable learning outcomes. This research applies PT principles to train drivers in improving lane maintenance behaviour, focusing on the comparison between feedback delivery modalities, to fill a gap in prior literature due to limited and somewhat conflicting findings.</div><div>This study builds upon a previous study, expanding the analysis to encompass a larger cohort of drivers and introducing a new experimental condition. Overall, 80 participants were involved in a driving simulator study in which they were asked to perform four consecutive trials, the first without feedback and others with feedback delivery.</div><div>Participants were divided into three groups, each assigned to an experimental condition based on feedback administration: Auditory (A), Visual (V), and combined (VA). All systems provided contingent negative/positive feedback based on participants’ lateral position.</div><div>A MANOVA was conducted, with feedback type and trials serving as independent variables. The analysis considered six dependent variables, incorporating four indicators for lane maintenance, along with two variables, mean speed and acceleration, to assess potential indirect effects.</div><div>Results reveal that all tested conditions were effective. However, conditions A and VA demonstrated greater effectiveness in reducing the standard deviation of lateral position. The auditory feedback system seems to emerge as the most promising option, likely being less intrusive since it delivered fewer stimuli compared to VA. These findings could be valuable in shaping the design of PT protocols for real-time coaching programs for eco-driving or within usage-based insurance schemes.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101266"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664279","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 : 2024-11-01DOI: 10.1016/j.trip.2024.101276
Sylvain Charlebois , Gumataw Abebe , Tony R. Walker , Vlado Keselj , Janet Music , Keshava Pallavi Gone , Karim Tuffaha , Janele Vezeau , Bibhuti Sarker , Stacey Taylor
This paper explores the implications of carbon-taxing policies on food supply chain affordability and competitiveness in Canada. Initiated with Alberta’s 2007 carbon levy, Canada’s approach to carbon taxation aims to mitigate greenhouse gas emissions while addressing the economic impacts on the food sector. With the federal carbon price set to rise to CAD $170 per ton by 2030, the study investigates the potential for increased food prices and the challenges to food affordability as well as identify the current gaps in understanding the intricacies of Carbon Taxing Policies on the Food Supply Chain in Canada. Graphic analyses and forecasts were created using data from Statistics Canada and the U.S. Census Bureau. The main findings of the analyses reveal shifts in wholesale and industrial prices since the carbon tax’s implementation. Findings suggest that carbon pricing may be affecting every level of the food supply chain, highlighting the need for further research to understand its full impact on food affordability and security.
{"title":"Implications of carbon Taxing policies on the food supply chain in Canada","authors":"Sylvain Charlebois , Gumataw Abebe , Tony R. Walker , Vlado Keselj , Janet Music , Keshava Pallavi Gone , Karim Tuffaha , Janele Vezeau , Bibhuti Sarker , Stacey Taylor","doi":"10.1016/j.trip.2024.101276","DOIUrl":"10.1016/j.trip.2024.101276","url":null,"abstract":"<div><div>This paper explores the implications of carbon-taxing policies on food supply chain affordability and competitiveness in Canada. Initiated with Alberta’s 2007 carbon levy, Canada’s approach to carbon taxation aims to mitigate greenhouse gas emissions while addressing the economic impacts on the food sector. With the federal carbon price set to rise to CAD $170 per ton by 2030, the study investigates the potential for increased food prices and the challenges to food affordability as well as identify the current gaps in understanding the intricacies of Carbon Taxing Policies on the Food Supply Chain in Canada. Graphic analyses and forecasts were created using data from Statistics Canada and the U.S. Census Bureau. The main findings of the analyses reveal shifts in wholesale and industrial prices since the carbon tax’s implementation. Findings suggest that carbon pricing may be affecting every level of the food supply chain, highlighting the need for further research to understand its full impact on food affordability and security.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101276"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699567","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 : 2024-11-01DOI: 10.1016/j.trip.2024.101256
Wale Arowolo, Yannick Perez
Many developing countries are at a crucial juncture in road transport electrification with electric mobility because they have limited economic capacity to implement government policy support and financial mechanisms that have spurred the capital-intensive electric mobility growth in developed countries. Attracting private sector investments remains a viable option for developing countries. While investors have identified opportunities to invest in developing countries, it remains to be seen which countries to prioritise, considering the complexities involved in investment decision-making despite the availability of myriad investment appraisal tools. This paper contributes to this academic and policy debate. With a power and transport sector coupling viewpoint, we explain the interaction of the power and transport sectors in the context of decarbonisation and digitalisation to identify developing countries that could be considered for private sector investment in electric mobility. Then, we apply our framework to case studies of the Philippines, Argentina, Romania, and Poland. We argue that countries with wholesale power markets and wholesale and retail power markets could attract electric mobility investment. We offer policy recommendations to stakeholders interested in electric mobility investment issues in developing countries.
{"title":"Electric mobility investment in the power and transport sector coupling context: Lessons from Argentina, the Philippines, Poland and Romania","authors":"Wale Arowolo, Yannick Perez","doi":"10.1016/j.trip.2024.101256","DOIUrl":"10.1016/j.trip.2024.101256","url":null,"abstract":"<div><div>Many developing countries are at a crucial juncture in road transport electrification with electric mobility because they have limited economic capacity to implement government policy support and financial mechanisms that have spurred the capital-intensive electric mobility growth in developed countries. Attracting private sector investments remains a viable option for developing countries. While investors have identified opportunities to invest in developing countries, it remains to be seen which countries to prioritise, considering the complexities involved in investment decision-making despite the availability of myriad investment appraisal tools. This paper contributes to this academic and policy debate. With a power and transport sector coupling viewpoint, we explain the interaction of the power and transport sectors in the context of decarbonisation and digitalisation to identify developing countries that could be considered for private sector investment in electric mobility. Then, we apply our framework to case studies of the Philippines, Argentina, Romania, and Poland. We argue that countries with wholesale power markets and wholesale and retail power markets could attract electric mobility investment. We offer policy recommendations to stakeholders interested in electric mobility investment issues in developing countries.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101256"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552489","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 : 2024-11-01DOI: 10.1016/j.trip.2024.101260
Zakir H. Farahmand , Konstantinos Gkiotsalitis , Karst T. Geurs
Public transport services are often designed to meet travel demand under regular situations. However, severe weather conditions (e.g., heavy rainfall, snow, thunderstorms, etc.) can adversely impact the service operation, leading to problems such as in-vehicle overcrowding, delays, and trip cancellations. In this study, we propose a novel approach to address in-vehicle overcrowding issues during weather disruptions. In this approach, we dynamically reassign buses from low-demand trips to lines where the expected demand exceeds the capacity threshold of the in-service buses. This way, the existing capacity is utilized more efficiently without requiring additional vehicles or drivers. Considering the shortage of bus drivers in Europe, as well as in the Netherlands, this is a more efficient solution than other alternatives such as deploying additional buses from the depot. Experiments were conducted on a bus network in Enschede in the Netherlands. The results showed that in several disrupted situations, we can reassign bus trips to overcome overcrowding issues without significant negative impacts on the operation or passengers. However, the approach entails a trade-off between passengers of a canceled trip and an overcrowded trip. Some passengers must wait for the next bus or use other means of transport as a consequence of bus reassignment.
{"title":"Optimal bus reassignment considering in-vehicle overcrowding","authors":"Zakir H. Farahmand , Konstantinos Gkiotsalitis , Karst T. Geurs","doi":"10.1016/j.trip.2024.101260","DOIUrl":"10.1016/j.trip.2024.101260","url":null,"abstract":"<div><div>Public transport services are often designed to meet travel demand under regular situations. However, severe weather conditions (e.g., heavy rainfall, snow, thunderstorms, etc.) can adversely impact the service operation, leading to problems such as in-vehicle overcrowding, delays, and trip cancellations. In this study, we propose a novel approach to address in-vehicle overcrowding issues during weather disruptions. In this approach, we dynamically reassign buses from low-demand trips to lines where the expected demand exceeds the capacity threshold of the in-service buses. This way, the existing capacity is utilized more efficiently without requiring additional vehicles or drivers. Considering the shortage of bus drivers in Europe, as well as in the Netherlands, this is a more efficient solution than other alternatives such as deploying additional buses from the depot. Experiments were conducted on a bus network in Enschede in the Netherlands. The results showed that in several disrupted situations, we can reassign bus trips to overcome overcrowding issues without significant negative impacts on the operation or passengers. However, the approach entails a trade-off between passengers of a canceled trip and an overcrowded trip. Some passengers must wait for the next bus or use other means of transport as a consequence of bus reassignment.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101260"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552492","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}
Fatigue among Indonesian coal freight train drivers is a risk factor that has never been investigated. This study evaluated fatigue among these train drivers and sought to determine work- and non work-related factors contributing to fatigue. The objectives were achieved by conducting a field observation and semi-structured interviews (SSI) with 21 freight train drivers. Using a thematic analysis, four groups of factors (themes) were identified: 1) work demand, 2) management support, 3) quality of work and rest facilities, and 4) organizational issues. Findings of this study demonstrated that fatigue among the drivers was unnecessarily excessive. Several important causes of fatigue included extended period of duty duration (exceeding company policy), adverse working physical environment, and the difficulty in obtaining good quality of rest, particularly at the destination (transit) station. Rest period between shifts was deemed inadequate, and back-to-back duties (separated with less than 8 h of rest) were often unavoidable. Satisfactory personnel scheduling and assignments were challenging, due to the complex nature of the external coal company operating environment, in addition to the freight train lowest track priority that resulted in services backlogs, delays, and frequent stops along the routes. While further studies were needed, short-term interventions could be done, including more ergonomic locomotive cabin and improving rest facilities at the transit station. Long-term initiatives might include better coordination and communication with the coal company, especially in developing more accurate departure and arrival estimates and train timetables.
{"title":"A qualitative study investigating fatigue among Indonesian freight-train drivers","authors":"Sevty Auliani , Hafizha Fidya Az-Zahra , Chicha Nursagita , Herman Soetisna , Hardianto Iridiastadi , Wiwik Budiawan","doi":"10.1016/j.trip.2024.101286","DOIUrl":"10.1016/j.trip.2024.101286","url":null,"abstract":"<div><div>Fatigue among Indonesian coal freight train drivers is a risk factor that has never been investigated. This study evaluated fatigue among these train drivers and sought to determine work- and non work-related factors contributing to fatigue. The objectives were achieved by conducting a field observation and semi-structured interviews (SSI) with 21 freight train drivers. Using a thematic analysis, four groups of factors (themes) were identified: 1) work demand, 2) management support, 3) quality of work and rest facilities, and 4) organizational issues. Findings of this study demonstrated that fatigue among the drivers was unnecessarily excessive. Several important causes of fatigue included extended period of duty duration (exceeding company policy), adverse working physical environment, and the difficulty in obtaining good quality of rest, particularly at the destination (transit) station. Rest period between shifts was deemed inadequate, and back-to-back duties (separated with less than 8 h of rest) were often unavoidable. Satisfactory personnel scheduling and assignments were challenging, due to the complex nature of the external coal company operating environment, in addition to the freight train lowest track priority that resulted in services backlogs, delays, and frequent stops along the routes. While further studies were needed, short-term interventions could be done, including more ergonomic locomotive cabin and improving rest facilities at the transit station. Long-term initiatives might include better coordination and communication with the coal company, especially in developing more accurate departure and arrival estimates and train timetables.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101286"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746049","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}
The development of road traffic facilities is progressing rapidly in both developed and developing countries. However, the number of deaths caused by road traffic accidents is still increasing and the families of the accident victims are trapped in poverty. This study by taking Indonesia as a case aimed: (1) to investigate the perceptions of road users in viewing road traffic facilities on traffic accidents, means of reducing the fatality of traffic accident victims, types of fatality of road traffic accident victims, and type of transportation mode causing traffic accidents and fatalities of accidents victims, (2) to determine factors affecting the frequency of traffic accidents and the fatality of accident victims, and (3) to examine the correlation between traffic accident victims and poverty. The data source was obtained by distributing questionnaires to 600 sample respondents in ten provinces in Indonesia, categorized as having high death rates in road traffic accident areas. These data were then analyzed using qualitative and quantitative methods. The qualitative results show that most respondents viewed road traffic facilities as useful in reducing the frequency of traffic accidents and the fatality of traffic accident victims. The motorcycle was viewed as the type of transportation with great potential for road traffic accidents. However, the type of fatality in traffic accidents tends to be minor injuries. The quantitative results indicated that factors that significantly affect the chances of never having traffic accidents are the presence of traffic control officers, location, age, and the use of private vehicles. The traffic facilities (excluding ambulances and helmets) are insignificant in reducing traffic accidents. The significant factors affecting the fatality rate were the availability of accident prevention facilities, location, the use of private vehicles, and weather conditions. Traffic accidents were found to correlate with poverty incidence as they incur treatment costs, lost productivity, and the loss of a breadwinner in the family. These findings complement and sharpen previous empirical findings and suggest practical contributions to the government and traffic authorities to improve road traffic facilities and reduce traffic accidents, the fatality of traffic accident victims, and poverty.
{"title":"Road traffic facilities, traffic accidents, and poverty: Lesson learned from Indonesia","authors":"Iwan Hermawan , Carunia Mulya Firdausy , Khoiru Rizqy Rambe , Fadhlan Zuhdi , Erwidodo , Reninta Dewi Nugraheni , Johny Malisan , Yovita Isnasari , Edward Marpaung , Sri Milawati Asshagab","doi":"10.1016/j.trip.2024.101273","DOIUrl":"10.1016/j.trip.2024.101273","url":null,"abstract":"<div><div>The development of road traffic facilities is progressing rapidly in both developed and developing countries. However, the number of deaths caused by road traffic accidents is still increasing and the families of the accident victims are trapped in poverty. This study by taking Indonesia as a case aimed: (1) to investigate the perceptions of road users in viewing road traffic facilities on traffic accidents, means of reducing the fatality of traffic accident victims, types of fatality of road traffic accident victims, and type of transportation mode causing traffic accidents and fatalities of accidents victims, (2) to determine factors affecting the frequency of traffic accidents and the fatality of accident victims, and (3) to examine the correlation between traffic accident victims and poverty. The data source was obtained by distributing questionnaires to 600 sample respondents in ten provinces in Indonesia, categorized as having high death rates in road traffic accident areas. These data were then analyzed using qualitative and quantitative methods. The qualitative results show that most respondents viewed road traffic facilities as useful in reducing the frequency of traffic accidents and the fatality of traffic accident victims. The motorcycle was viewed as the type of transportation with great potential for road traffic accidents. However, the type of fatality in traffic accidents tends to be minor injuries. The quantitative results indicated that factors that significantly affect the chances of never having traffic accidents are the presence of traffic control officers, location, age, and the use of private vehicles. The traffic facilities (excluding ambulances and helmets) are insignificant in reducing traffic accidents. The significant factors affecting the fatality rate were the availability of accident prevention facilities, location, the use of private vehicles, and weather conditions. Traffic accidents were found to correlate with poverty incidence as they incur treatment costs, lost productivity, and the loss of a breadwinner in the family. These findings complement and sharpen previous empirical findings and suggest practical contributions to the government and traffic authorities to improve road traffic facilities and reduce traffic accidents, the fatality of traffic accident victims, and poverty.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101273"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664270","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}
This review delves into the effects of carbon pricing policies on food affordability and the performance of the agri-food sector, with a specific focus on Canada. Against the backdrop of the widespread adoption of carbon pricing as a crucial tool in reducing greenhouse gas (GHG) emissions, the discussion acknowledges potential economic repercussions, particularly for lower-income households. Findings reveal that the implementation of a mandated carbon tax across all provinces in Canada by 2019 led to reduced GHG emissions and an increase in food prices. In addition, this review positions Canada within the global context by examining actions taken by other countries and their impacts. Crucial research gaps are also identified, ultimately serving as a guide for future studies and policy formulation aimed at balancing the necessity of carbon tax implementation with considerations of food affordability.
{"title":"Implications of carbon pricing on food affordability and agri-food sector in Canada: A scoping review","authors":"Sylvain Charlebois , Swati Saxena , Gumataw Abebe , Tony Walker , Janet Music , Vlado Keselj , Karim Tuffaha , Keshava Pallavi Gone , Janele Vezeau , Bibhuti Sarker , Stacey Taylor","doi":"10.1016/j.trip.2024.101271","DOIUrl":"10.1016/j.trip.2024.101271","url":null,"abstract":"<div><div>This review delves into the effects of carbon pricing policies on food affordability and the performance of the agri-food sector, with a specific focus on Canada. Against the backdrop of the widespread adoption of carbon pricing as a crucial tool in reducing greenhouse gas (GHG) emissions, the discussion acknowledges potential economic repercussions, particularly for lower-income households. Findings reveal that the implementation of a mandated carbon tax across all provinces in Canada by 2019 led to reduced GHG emissions and an increase in food prices. In addition, this review positions Canada within the global context by examining actions taken by other countries and their impacts. Crucial research gaps are also identified, ultimately serving as a guide for future studies and policy formulation aimed at balancing the necessity of carbon tax implementation with considerations of food affordability.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101271"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664282","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 : 2024-11-01DOI: 10.1016/j.trip.2024.101267
Kareem Othman , Sarah Hamed , Diego Da Silva , Amer Shalaby , Baher Abdulhai
The electrification of public transit systems represents a crucial strategy for advancing sustainable urban mobility. Thus, the development of efficient charging infrastructure and the optimization of fleet size emerge as major challenges for transit agencies. Switching from diesel buses to electric buses (Ebuses) will require increasing the fleet size to accommodate the limited range of Ebuses and the significant idle time required for charging. This study develops prediction models to estimate the required Ebus fleet size to maintain same transit route services for the case of overnight depot charging, using data from Ebuses operating in the City of Toronto. The analysis reveals that Ebuses equipped with diesel auxiliary heaters are less sensitive to temperature fluctuations compared to battery-heated buses. Thus, the required replacement factor, indicating the additional fleet needed to switch from diesel to Ebuses, varies depending on the heating system. Specifically, diesel-heated buses require a lower replacement factor (1.3) compared to battery-heated buses (1.4), with winter conditions exacerbating this disparity. Furthermore, the study employs vehicular, operational, route, and external variables to develop the prediction models. Additionally, SHAP analysis is utilized to interpret the machine learning models and evaluate the influence of the inputs on the required fleet size. The results show that the total distance traveled, and the average temperature are the primary factors affecting the fleet size for Ebuses using their batteries for heating, whereas the total distance traveled, and the average bus speed are the primary factors affecting the fleet size for Ebuses with diesel auxiliary heaters.
{"title":"Decision support tools for effective bus fleet electrification: Replacement factors and fleet size prediction","authors":"Kareem Othman , Sarah Hamed , Diego Da Silva , Amer Shalaby , Baher Abdulhai","doi":"10.1016/j.trip.2024.101267","DOIUrl":"10.1016/j.trip.2024.101267","url":null,"abstract":"<div><div>The electrification of public transit systems represents a crucial strategy for advancing sustainable urban mobility. Thus, the development of efficient charging infrastructure and the optimization of fleet size emerge as major challenges for transit agencies. Switching from diesel buses to electric buses (Ebuses) will require increasing the fleet size to accommodate the limited range of Ebuses and the significant idle time required for charging. This study develops prediction models to estimate the required Ebus fleet size to maintain same transit route services for the case of overnight depot charging, using data from Ebuses operating in the City of Toronto. The analysis reveals that Ebuses equipped with diesel auxiliary heaters are less sensitive to temperature fluctuations compared to battery-heated buses. Thus, the required replacement factor, indicating the additional fleet needed to switch from diesel to Ebuses, varies depending on the heating system. Specifically, diesel-heated buses require a lower replacement factor (1.3) compared to battery-heated buses (1.4), with winter conditions exacerbating this disparity. Furthermore, the study employs vehicular, operational, route, and external variables to develop the prediction models. Additionally, SHAP analysis is utilized to interpret the machine learning models and evaluate the influence of the inputs on the required fleet size. The results show that the total distance traveled, and the average temperature are the primary factors affecting the fleet size for Ebuses using their batteries for heating, whereas the total distance traveled, and the average bus speed are the primary factors affecting the fleet size for Ebuses with diesel auxiliary heaters.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101267"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592791","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 : 2024-11-01DOI: 10.1016/j.trip.2024.101281
Elina Aittoniemi, Teemu Itkonen, Satu Innamaa
Automated Vehicles (AVs) are expected to reduce CO2 emissions and energy demand of road transportation by mechanisms such as more stable vehicle control, but realisation of these benefits depends on AV deployment and use. Simulation studies have reported a wide range of potential impacts, depending on the driver model and assumptions. Studies have focused on the total impact on CO2 emissions in specific traffic volume and speed limit conditions and have not separated impacts for different road users. Heavy-duty vehicles (HDVs) have often been omitted entirely. This study assessed the potential impacts of conditionally automated driving on the CO2 emissions and energy demand of equipped and unequipped passenger cars (MVs) and unequipped HDVs with a systematic approach, covering different speed limits, traffic volumes and AV penetration rates on motorways. The methodology incorporated traffic microsimulation, an emissions calculation tool, and a formula for tractive energy demand. Replacing passenger cars with AVs in traffic simulation affected emissions of all road users, and the magnitude and direction of impacts differed between vehicle types. Whereas average energy demand and CO2 emissions of AVs were lower in most conditions compared to MVs at baseline, benefits for all vehicle types were seen only at the highest traffic volumes. Changed traffic dynamics can lead to increases in energy demand and emissions of HDVs and MVs already at low AV penetration rates in moderate traffic. Thus, future studies on AV impacts should include more variation in simulated conditions and consider impacts on different vehicle types separately.
{"title":"Impacts of automated driving on energy demand and emissions in motorway traffic","authors":"Elina Aittoniemi, Teemu Itkonen, Satu Innamaa","doi":"10.1016/j.trip.2024.101281","DOIUrl":"10.1016/j.trip.2024.101281","url":null,"abstract":"<div><div>Automated Vehicles (AVs) are expected to reduce CO<sub>2</sub> emissions and energy demand of road transportation by mechanisms such as more stable vehicle control, but realisation of these benefits depends on AV deployment and use. Simulation studies have reported a wide range of potential impacts, depending on the driver model and assumptions. Studies have focused on the total impact on CO<sub>2</sub> emissions in specific traffic volume and speed limit conditions and have not separated impacts for different road users. Heavy-duty vehicles (HDVs) have often been omitted entirely. This study assessed the potential impacts of conditionally automated driving on the CO<sub>2</sub> emissions and energy demand of equipped and unequipped passenger cars (MVs) and unequipped HDVs with a systematic approach, covering different speed limits, traffic volumes and AV penetration rates on motorways. The methodology incorporated traffic microsimulation, an emissions calculation tool, and a formula for tractive energy demand. Replacing passenger cars with AVs in traffic simulation affected emissions of all road users, and the magnitude and direction of impacts differed between vehicle types. Whereas average energy demand and CO<sub>2</sub> emissions of AVs were lower in most conditions compared to MVs at baseline, benefits for all vehicle types were seen only at the highest traffic volumes. Changed traffic dynamics can lead to increases in energy demand and emissions of HDVs and MVs already at low AV penetration rates in moderate traffic. Thus, future studies on AV impacts should include more variation in simulated conditions and consider impacts on different vehicle types separately.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101281"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699568","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}