Pub Date : 2015-06-01DOI: 10.5399/OSU/JTRF.54.2.4285
V. R. Duddu, S. Pulugurtha
The focus of this paper is on evaluating and assessing the effect of a compressed work week strategy (say, not working a day each week) on transportation network performance measures such as linklevel traffic speed, travel time, and volume-to-capacity ratio using data gathered for the Charlotte metropolitan area, North Carolina. The results obtained indicate that reducing 15% to 20% of work commute during the morning peak hours using compressed work week strategy would increase traffic speeds by up to 5 mph on at least 64% of center-lane miles (sum of the length of the center line of all lanes of traffic for each selected link). It would also decrease the travel time by up to two minutes on at least 61% of center-lane miles.
{"title":"Assessing the Effect of Compressed Work Week Strategy on Transportation Network Performance Measures","authors":"V. R. Duddu, S. Pulugurtha","doi":"10.5399/OSU/JTRF.54.2.4285","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.2.4285","url":null,"abstract":"The focus of this paper is on evaluating and assessing the effect of a compressed work week strategy (say, not working a day each week) on transportation network performance measures such as linklevel traffic speed, travel time, and volume-to-capacity ratio using data gathered for the Charlotte metropolitan area, North Carolina. The results obtained indicate that reducing 15% to 20% of work commute during the morning peak hours using compressed work week strategy would increase traffic speeds by up to 5 mph on at least 64% of center-lane miles (sum of the length of the center line of all lanes of traffic for each selected link). It would also decrease the travel time by up to two minutes on at least 61% of center-lane miles.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131408845","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 : 2015-06-01DOI: 10.5399/OSU/JTRF.54.2.4288
Elvis Ndembe
Despite the widespread adoption of shuttle train grain elevators and their potential for reducing rates for grain transport, few studies have evaluated their impact on railroad pricing. The aim of this paper is to assess railroad pricing behavior as well as empirically examine the impact of shuttle train movement on hard red spring wheat transport from North Dakota over time. Ordinary least squares estimation of the pricing model has rate per ton-mile as a dependent variable and supply and demand determinants as regressors. Intermodal competition and shuttle trains were found to have played a significant role in rate reduction over time.
{"title":"Hard Red Spring Wheat Marketing: Effects of Increased Shuttle Train Movements on Railroad Pricing in the Northern Plains","authors":"Elvis Ndembe","doi":"10.5399/OSU/JTRF.54.2.4288","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.2.4288","url":null,"abstract":"Despite the widespread adoption of shuttle train grain elevators and their potential for reducing rates for grain transport, few studies have evaluated their impact on railroad pricing. The aim of this paper is to assess railroad pricing behavior as well as empirically examine the impact of shuttle train movement on hard red spring wheat transport from North Dakota over time. Ordinary least squares estimation of the pricing model has rate per ton-mile as a dependent variable and supply and demand determinants as regressors. Intermodal competition and shuttle trains were found to have played a significant role in rate reduction over time.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116939525","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 : 2015-06-01DOI: 10.5399/OSU/JTRF.54.2.4300
T. D. Chen, K. Kockelman, Yong Zhao
This paper examines the impact of travel demand modeling (TDM) disaggregation techniques in the context of medium-sized communities. Specific TDM improvement strategies are evaluated for predictive power and flexibility with case studies based on the Tyler, Texas, network. Results suggest that adding time-of-day disaggregation, particularly in conjunction with multi-class assignment, to a basic TDM framework has the most significant impacts on outputs. Other strategies shown to impact outputs include adding a logit mode choice model and incorporating a congestion feedback loop. For resource-constrained communities, these results show how model output and flexibility vary for different settings and scenarios.
{"title":"What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network","authors":"T. D. Chen, K. Kockelman, Yong Zhao","doi":"10.5399/OSU/JTRF.54.2.4300","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.2.4300","url":null,"abstract":"This paper examines the impact of travel demand modeling (TDM) disaggregation techniques in the context of medium-sized communities. Specific TDM improvement strategies are evaluated for predictive power and flexibility with case studies based on the Tyler, Texas, network. Results suggest that adding time-of-day disaggregation, particularly in conjunction with multi-class assignment, to a basic TDM framework has the most significant impacts on outputs. Other strategies shown to impact outputs include adding a logit mode choice model and incorporating a congestion feedback loop. For resource-constrained communities, these results show how model output and flexibility vary for different settings and scenarios.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123785843","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.1.4273
Mouyid Islam
A growing concern on large-truck crashes increased over the years due to the potential economic impacts and level of injury severity. This study aims to analyze the injury severities of multivehicle large-trucks crashes on national highways. To capture and understand the complexities of contributing factors, two random parameter discrete outcome models – random parameter ordered probit and mixed logit – were estimated to predict the likelihood of five injury severity outcomes: fatal, incapacitating, non-incapacitating, possible injury, and no-injury. Estimation findings indicate that the level of injury severity is highly influenced by a number of complex interactions of factors, namely, human, vehicular, road-environmental, and crash dynamics that can vary across the observations.
{"title":"Multi-Vehicle Crashes Involving Large Trucks: A Random Parameter Discrete Outcome Modeling Approach","authors":"Mouyid Islam","doi":"10.5399/OSU/JTRF.54.1.4273","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.1.4273","url":null,"abstract":"A growing concern on large-truck crashes increased over the years due to the potential economic impacts and level of injury severity. This study aims to analyze the injury severities of multivehicle large-trucks crashes on national highways. To capture and understand the complexities of contributing factors, two random parameter discrete outcome models – random parameter ordered probit and mixed logit – were estimated to predict the likelihood of five injury severity outcomes: fatal, incapacitating, non-incapacitating, possible injury, and no-injury. Estimation findings indicate that the level of injury severity is highly influenced by a number of complex interactions of factors, namely, human, vehicular, road-environmental, and crash dynamics that can vary across the observations.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123066905","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.1.4264
M. Burris, Sunghoon Lee, Tina S. Geiselbrecht, R. Baker, Brian A. Weatherford
This paper examined equity changes from the imposition of a mileage-based user fee (MBUF) based on how revenue is collected as well as how it is spent. Using the 2009 National Household Travel Survey along with detailed transportation spending estimates, four scenarios were examined. A scenario where an MBUF is combined with a federal tax and includes a greater focus on maintenance spending was the most geographically equitable. Researchers also found that considering funding disbursement when examining the effect of a shift to an MBUF may change the equity of a funding option as compared to only examining revenue source.
{"title":"Equity Evaluation of Sustainable Mileage-Based User Fee Scenarios","authors":"M. Burris, Sunghoon Lee, Tina S. Geiselbrecht, R. Baker, Brian A. Weatherford","doi":"10.5399/OSU/JTRF.54.1.4264","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.1.4264","url":null,"abstract":"This paper examined equity changes from the imposition of a mileage-based user fee (MBUF) based on how revenue is collected as well as how it is spent. Using the 2009 National Household Travel Survey along with detailed transportation spending estimates, four scenarios were examined. A scenario where an MBUF is combined with a federal tax and includes a greater focus on maintenance spending was the most geographically equitable. Researchers also found that considering funding disbursement when examining the effect of a shift to an MBUF may change the equity of a funding option as compared to only examining revenue source.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122076257","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.3.4306
Savannah Gleim, J. Nolan
This research re-examines both transportation allocation and infrastructure capacity problems associated with moving grain from the Western Canada to export position. The analysis is conducted with geographic information system software using grain industry data. In contrast with historical grain industry logistics methods, the analysis and simulation framework allows us to re-examine logistic solutions in this vast supply chain in the interest of improving overall delivery efficiency. In addition, we find that rail network capacity should not constrain any major expansion of grain movement in the system over the foreseeable future.
{"title":"Canada’s Grain Handling and Transportation System: A GIS-based Evaluation of Potential Policy Changes","authors":"Savannah Gleim, J. Nolan","doi":"10.5399/OSU/JTRF.54.3.4306","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.3.4306","url":null,"abstract":"This research re-examines both transportation allocation and infrastructure capacity problems associated with moving grain from the Western Canada to export position. The analysis is conducted with geographic information system software using grain industry data. In contrast with historical grain industry logistics methods, the analysis and simulation framework allows us to re-examine logistic solutions in this vast supply chain in the interest of improving overall delivery efficiency. In addition, we find that rail network capacity should not constrain any major expansion of grain movement in the system over the foreseeable future.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"17 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113242","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.3.4318
S. Pulugurtha, Rakesh Mora
The focus of this paper is to conduct an evaluation of selected traffic impact analysis (TIA) case studies, review current practice, and recommend procedures that could be adapted to better forecast and plan future traffic needs. Lessons from the evaluations indicate that considering regional traffic growth rate, peak hour factor (PHF), heavy vehicle percentage, and other off-site developments would yield relatively better TIA forecasts. Incomplete development with vacant parcels was observed at several case sites, possibly due to the state of the economy. Therefore, conducting analysis assuming multiple “build out” years (say, three and five years based on the magnitude of the development) as complete build out years would help state and local transportation agencies plan and better allocate resources based on the need.
{"title":"Traffic Impact Analysis (TIA) and Forecasting Future Traffic Needs: Lessons from Selected North Carolina Case Studies","authors":"S. Pulugurtha, Rakesh Mora","doi":"10.5399/OSU/JTRF.54.3.4318","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.3.4318","url":null,"abstract":"The focus of this paper is to conduct an evaluation of selected traffic impact analysis (TIA) case studies, review current practice, and recommend procedures that could be adapted to better forecast and plan future traffic needs. Lessons from the evaluations indicate that considering regional traffic growth rate, peak hour factor (PHF), heavy vehicle percentage, and other off-site developments would yield relatively better TIA forecasts. Incomplete development with vacant parcels was observed at several case sites, possibly due to the state of the economy. Therefore, conducting analysis assuming multiple “build out” years (say, three and five years based on the magnitude of the development) as complete build out years would help state and local transportation agencies plan and better allocate resources based on the need.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122556237","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.1.4267
Rafay Ishfaq, Mark M. Clark, Uzma Raja
This research presents a coordination approach for the expansion of gas transportation networks to serve an increasing customer base. An empirical study of natural gas markets in the southeastern United States shows that horizontal cooperation among transportation service providers (i.e., pipeline companies) allows for expanding the gas transportation networks efficiently to serve new customers. The benefits of coordination are identified through key structural elements such as number and location of additional pipeline links, lower infrastructure expansion costs, and demand segmentation for the gas transportation service providers.
{"title":"Horizontal Cooperation in Network Expansion: An Empirical Evaluation of Gas Transportation Networks","authors":"Rafay Ishfaq, Mark M. Clark, Uzma Raja","doi":"10.5399/OSU/JTRF.54.1.4267","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.1.4267","url":null,"abstract":"This research presents a coordination approach for the expansion of gas transportation networks to serve an increasing customer base. An empirical study of natural gas markets in the southeastern United States shows that horizontal cooperation among transportation service providers (i.e., pipeline companies) allows for expanding the gas transportation networks efficiently to serve new customers. The benefits of coordination are identified through key structural elements such as number and location of additional pipeline links, lower infrastructure expansion costs, and demand segmentation for the gas transportation service providers.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122301743","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.3.4312
M. Babcock, Bebonchu Atems
The issue addressed in this paper is more fully understanding the relationship of intrarailroad competition and rail rates for wheat in the largest wheat producing states, which are Idaho, Kansas, Minnesota, Montana, North Dakota, Oklahoma, South Dakota, Texas, and Washington. The overall objective of the study is to investigate railroad pricing behavior for wheat shipments. The rate model was estimated with OLS in double-log specification utilizing the 2012 STB Confidential Waybill sample and other data. The research found that the distance from origin to destination and the total shipment weight had the expected negative relationships with railroad wheat rates and were statistically significant. The distance from origin to the nearest barge loading location had the expected positive relationship to railroad wheat rates and was also significant. The weight of each covered hopper car and the Herfindahl-Hirschman Index were both non-significant. However, the study used other data to determine that intrarailroad competition for wheat shipments within states appears to be present in most states.
{"title":"Intrarailroad and Intermodal Competition Impacts on Railroad Wheat Rates","authors":"M. Babcock, Bebonchu Atems","doi":"10.5399/OSU/JTRF.54.3.4312","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.3.4312","url":null,"abstract":"The issue addressed in this paper is more fully understanding the relationship of intrarailroad competition and rail rates for wheat in the largest wheat producing states, which are Idaho, Kansas, Minnesota, Montana, North Dakota, Oklahoma, South Dakota, Texas, and Washington. The overall objective of the study is to investigate railroad pricing behavior for wheat shipments. The rate model was estimated with OLS in double-log specification utilizing the 2012 STB Confidential Waybill sample and other data. The research found that the distance from origin to destination and the total shipment weight had the expected negative relationships with railroad wheat rates and were statistically significant. The distance from origin to the nearest barge loading location had the expected positive relationship to railroad wheat rates and was also significant. The weight of each covered hopper car and the Herfindahl-Hirschman Index were both non-significant. However, the study used other data to determine that intrarailroad competition for wheat shipments within states appears to be present in most states.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130196419","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 : 2015-03-01DOI: 10.5399/OSU/JTRF.54.1.4270
Yan Du, B. McMullen
This paper analyzes factors that determine whether individual routes remain in or leave a code-share agreement in different scenarios: pooled, purely traditionally code-shared routes, purely virtual code-shared routes and routes both traditionally and purely codeshare. The code-share alliance between Continental and America West Airlines is used as the case study for this analysis. Empirical results show that factors affecting alliance firms’ code sharing decision significantly differ for virtual versus traditional code share agreements.
{"title":"Is the Decision to Code-Share a Route Different for Virtual and Traditional Code-Share Arrangements?","authors":"Yan Du, B. McMullen","doi":"10.5399/OSU/JTRF.54.1.4270","DOIUrl":"https://doi.org/10.5399/OSU/JTRF.54.1.4270","url":null,"abstract":"This paper analyzes factors that determine whether individual routes remain in or leave a code-share agreement in different scenarios: pooled, purely traditionally code-shared routes, purely virtual code-shared routes and routes both traditionally and purely codeshare. The code-share alliance between Continental and America West Airlines is used as the case study for this analysis. Empirical results show that factors affecting alliance firms’ code sharing decision significantly differ for virtual versus traditional code share agreements.","PeriodicalId":405535,"journal":{"name":"Journal of the Transportation Research Forum","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117317004","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}
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