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}
Pub Date : 2024-11-01DOI: 10.1016/j.trip.2024.101297
Kajsa Weibull , Tereza Kunclová , Björn Lidestam , Erik Prytz
The interaction between emergency vehicle drivers and surrounding road users is associated with risks. This study explored the application of geofencing to improve interactions between drivers and emergency vehicles to reduce the risk of collisions in high-risk scenarios. Two high-risk scenarios, an off-ramp collision, and an intersection scenario, were used in two driving simulator experiments with 64 participants in total. Half of the drivers received a geofence-based warning about the upcoming traffic situation. The results indicate that geofencing, when applied to provide warnings in specific locations, improves driver behavior. In the off-ramp experiment, all drivers who received a warning avoided the off-ramp and thereby avoided the collision site, whereas all other drivers took the off-ramp. In the intersection experiment, the warning led to earlier deceleration, allowing the emergency vehicle to pass safely and with minimal delay; whereas nearly half of those who did not get a warning failed to yield to the emergency vehicle. The drivers acted based on the warning they received, even when they had not yet seen the emergency vehicle. The findings suggest that geofencing can improve driver behavior by detecting emergency vehicles early and reliably, thereby improving traffic safety and minimizing delay for emergency vehicles on call.
{"title":"Geofencing to prevent collisions in drivers’ interactions with emergency vehicles","authors":"Kajsa Weibull , Tereza Kunclová , Björn Lidestam , Erik Prytz","doi":"10.1016/j.trip.2024.101297","DOIUrl":"10.1016/j.trip.2024.101297","url":null,"abstract":"<div><div>The interaction between emergency vehicle drivers and surrounding road users is associated with risks. This study explored the application of geofencing to improve interactions between drivers and emergency vehicles to reduce the risk of collisions in high-risk scenarios. Two high-risk scenarios, an off-ramp collision, and an intersection scenario, were used in two driving simulator experiments with 64 participants in total. Half of the drivers received a geofence-based warning about the upcoming traffic situation. The results indicate that geofencing, when applied to provide warnings in specific locations, improves driver behavior. In the off-ramp experiment, all drivers who received a warning avoided the off-ramp and thereby avoided the collision site, whereas all other drivers took the off-ramp. In the intersection experiment, the warning led to earlier deceleration, allowing the emergency vehicle to pass safely and with minimal delay; whereas nearly half of those who did not get a warning failed to yield to the emergency vehicle. The drivers acted based on the warning they received, even when they had not yet seen the emergency vehicle. The findings suggest that geofencing can improve driver behavior by detecting emergency vehicles early and reliably, thereby improving traffic safety and minimizing delay for emergency vehicles on call.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101297"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177339","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.2024.101289
Mysore Narasimhamurthy Sharath , Babak Mehran , Ahmed Ashraf , Susan Grant-Muller , Ed Manley
Canada, with a substantial contribution from the personal transport sector, is a major per capita greenhouse gas emitter. This study advocates a sustainable 3-echelon transportation system, integrating Public Transit (PuT) and demand-responsive transit (DRT) for door-to-door service. Electric autonomous DRT vehicles serve the first and third legs of travel, while the second leg relies on PuT. The goal is to identify routes for commuters simultaneously optimizing user, operator, and emission costs. A novel evolutionary algorithm, guided by fuzzy inference systems, optimizes travel costs. The algorithm is calibrated, and its performance is validated against benchmark instances. The proposed optimization framework demonstrates superior performance, achieving quick convergence even for large instances with over 5,000 billion possible routes. Near-optimal routing solutions for sizable scenarios with approximately 100 commuters, 250 PuT nodes, and 50 DRT vehicles can be computed within approximately 20 min.
{"title":"Optimizing travel costs of feeder-integrated public transport system: A methodology","authors":"Mysore Narasimhamurthy Sharath , Babak Mehran , Ahmed Ashraf , Susan Grant-Muller , Ed Manley","doi":"10.1016/j.trip.2024.101289","DOIUrl":"10.1016/j.trip.2024.101289","url":null,"abstract":"<div><div>Canada, with a substantial contribution from the personal transport sector, is a major per capita greenhouse gas emitter. This study advocates a sustainable 3-echelon transportation system, integrating Public Transit (PuT) and demand-responsive transit (DRT) for door-to-door service. Electric autonomous DRT vehicles serve the first and third legs of travel, while the second leg relies on PuT. The goal is to identify routes for commuters simultaneously optimizing user, operator, and emission costs. A novel evolutionary algorithm, guided by fuzzy inference systems, optimizes travel costs. The algorithm is calibrated, and its performance is validated against benchmark instances. The proposed optimization framework demonstrates superior performance, achieving quick convergence even for large instances with over 5,000 billion possible routes. Near-optimal routing solutions for sizable scenarios with approximately 100 commuters, 250 PuT nodes, and 50 DRT vehicles can be computed within approximately 20 min.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101289"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177341","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.2024.101283
Emer Owens , Barry Sheehan , Martin Mullins , Martin Cunneen , German Castignani , Leandro Masello
Climate change, emissions and carbon–neutral city goals have increased the focus on developing a more diverse socio-environmentally friendly transportation ecosystem. Modern personal mobility incorporates the use of multiple modes of transport per week, or even within the same trip. The transition to sustainable, greener transport is exemplified by the rising popularity of micro-mobility, shared-mobility and electric vehicles. However, current mobility risk-transfer mechanisms do not support modern mobility preferences and travel behaviour. The insurance industry could incentivise sustainable modes of transport by offering innovative risk-transfer solutions. This research proposes Pay-As-You-Move (PAYM) usage-based insurance, a novel transport insurance product for multi-modal mobility. PAYM insurance utilises travel behaviour data gathered from smartphone telematics to detect mobility patterns and determine the corresponding risk of an accident occurring. The proposed risk assessment scheme leverages British road safety data on accident frequencies and severities to quantify a relative risk value for four mobility types and derive an appropriate insurance product. Then, the relative risk of a multi-modal trip is calculated as the product of the mileage, the accident probability and the accident severity per mobility type. Additionally, a control banding risk assessment is presented as a qualitative pricing model for the proposed PAYM product. As civil society looks toward a low-carbon lifestyle, the insurance industry is tasked with adapting transportation insurance offerings to avoid a transport protection gap. This novel usage-based insurance product promotes a range of dependable, frictionless, and greener mobility solutions, benefiting society in our collective efforts to embed sustainability into our daily lives.
{"title":"Towards Pay-As-You-Move (PAYM) insurance: The multimodal mobility risk transfer solution","authors":"Emer Owens , Barry Sheehan , Martin Mullins , Martin Cunneen , German Castignani , Leandro Masello","doi":"10.1016/j.trip.2024.101283","DOIUrl":"10.1016/j.trip.2024.101283","url":null,"abstract":"<div><div>Climate change, emissions and carbon–neutral city goals have increased the focus on developing a more diverse socio-environmentally friendly transportation ecosystem. Modern personal mobility incorporates the use of multiple modes of transport per week, or even within the same trip. The transition to sustainable, greener transport is exemplified by the rising popularity of micro-mobility, shared-mobility and electric vehicles. However, current mobility risk-transfer mechanisms do not support modern mobility preferences and travel behaviour. The insurance industry could incentivise sustainable modes of transport by offering innovative risk-transfer solutions. This research proposes Pay-As-You-Move (PAYM) usage-based insurance, a novel transport insurance product for multi-modal mobility. PAYM insurance utilises travel behaviour data gathered from smartphone telematics to detect mobility patterns and determine the corresponding risk of an accident occurring. The proposed risk assessment scheme leverages British road safety data on accident frequencies and severities to quantify a relative risk value for four mobility types and derive an appropriate insurance product. Then, the relative risk of a multi-modal trip is calculated as the product of the mileage, the accident probability and the accident severity per mobility type. Additionally, a control banding risk assessment is presented as a qualitative pricing model for the proposed PAYM product. As civil society looks toward a low-carbon lifestyle, the insurance industry is tasked with adapting transportation insurance offerings to avoid a transport protection gap. This novel usage-based insurance product promotes a range of dependable, frictionless, and greener mobility solutions, benefiting society in our collective efforts to embed sustainability into our daily lives.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"28 ","pages":"Article 101283"},"PeriodicalIF":3.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177340","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.
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