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Paper

The Relative Contribution of Transportation to Supply Chain Greenhouse Gas Emissions: A Case Study of American Wheat

Publication: Transportation Research Part D: Transport and Environment
Volume: 14 (7)
Pages: 487-92
Publication Date: 2009
Summary:

This life cycle assessment case study puts the supply chain contribution of transportation to greenhouse gas emissions in context with other contributors using American wheat grain as a representative product. Multiple locations, species and routes to market are investigated. Transportation contributes 39–56% of the supply chain emissions, whereas there is a 101% intra-species and 62% inter-species variation in greenhouse gas emissions from production, demonstrating that transportation is both of smaller magnitude, and less sensitive than other factors, in particular, field sequestration.

Authors: Dr. Anne Goodchild, Brendan O'Donnell, Joyce Cooper, and Toshi Ozawa
Recommended Citation:
O’Donnell, Brendan. Anne Goodchild, Joyce Cooper, and Toshi Ozawa. "The Relative Contribution of Transportation to Supply Chain Greenhouse Gas Emissions: A Case Study of American Wheat." Transportation Research Part D: Transport and Environment 14, no. 7 (2009): 487-492.
Paper

ITS Devices Used to Collect Truck Data for Performance Benchmarks

 
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Publication: Transportation Research Record
Volume: 1957
Pages: 43-50
Publication Date: 2006
Summary:

This paper documents the development of data collection methodologies that can be used to measure truck movements along specific roadway corridors in Washington State cost-effectively. The intent of this study was to design and test methodologies that could provide information to ascertain the performance of freight mobility roadway improvement projects. The benchmarks created would be used to report on speed and volume improvements that resulted from completed roadway projects. One technology tested consisted of Commercial Vehicle Information System and Networks electronic truck transponders, which were mounted on the windshields of approximately 30,000 trucks traveling in Washington. These transponders were used at weigh stations across the state to improve the efficiency of truck regulatory compliance checks. With transponder reads from sites anywhere in the state being linked through software, the transponder-equipped trucks can become a travel time probe fleet. The second technology tested involved Global Positioning Systems (GPS) placed in volunteer trucks to collect specific truck movement data at 5-s intervals. GPS data made it possible to locate when and where monitored trucks experienced congestion. With this information aggregated over time, it was possible to generate performance statistics related to the reliability of truck trips and even to examine changes in route choice for trips between high-volume origin-destination pairs. The study found that both data collection technologies could be useful; however, the key to either technology is whether enough instrumented vehicles pass over the roadways for which data are required.

Authors: Dr. Ed McCormack, Mark Hallenbeck
Recommended Citation:
McCormack, Edward & Hallenbeck, Mark. (2006). ITS Devices Used to Collect Truck Data for Performance Benchmarks. Transportation Research Record. 1957. 43-50. 10.3141/1957-07. 
Paper

Structuring a Definition of Resilience for the Freight Transportation System

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Volume: 2097
Pages: 19-25
Publication Date: 2009
Summary:

This paper summarizes a broad literature review on system resilience. After these interpretations of resilience are considered, a definition of resilience in the context of freight transportation systems is provided. The definition of resilience offered here captures the interactions between managing organizations—namely, state departments of transportation, the infrastructure, and users—which is critical considering that the freight transportation system exists to support economic activity and production. A list of properties of freight transportation system resilience is outlined. These properties of resilience can contribute to the overall ability of the freight transportation system to recover from disruptions, whether exhibited at the infrastructure, managing organization, or user dimension. This contribution provides a framework that can serve as a starting point for future research, offering a shared language that promotes a more structured conversation about freight transportation resilience.

Authors: Dr. Anne Goodchild, Chilan Ta, Kelly Pitera
Recommended Citation:
Ta, Chilan. Anne V. Goodchild, and Kelly Pitera. "Structuring a definition of resilience for the freight transportation system." Transportation Research Record 2097, no. 1 (2009): 19-25.
Paper

Would Being Driven by Others Affect the Value of Travel Time? Ridehailing as an Analogy for Automated Vehicles

 
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Publication: Transportation
Volume: 46
Pages: 2103–2116
Publication Date: 2019
Summary:

It is widely believed that vehicle automation will change how travelers perceive the value of travel time (VoTT), but the magnitude of this effect is still unknown. This study investigates how highly automated vehicles (AVs) may affect VoTT, using an existing mode—ridehailing services (RHS)—as an analogy for AVs.

Both AVs and RHS relieve travelers from the effort of driving and allow them to participate in other activities while traveling. In a stated choice experiment, respondents chose between driving a personal vehicle or taking an RHS, with each mode characterized by a cost and travel time.

Analysis results using a mixed logit model indicated that the VoTT was 13% lower when being driven in an RHS than when driving a personal car. We also told half the respondents (randomly selected) that the RHS was driverless; and for half (also randomly selected) we explicitly mentioned the ability to multitask while traveling in an RHS. Mentioning multitasking explicitly led to a much lower VoTT, approximately half that of driving oneself. However, the VoTT in a driverless RHS was 15% higher than when driving a personal car, which may reflect a lack of familiarity and comfort with driverless technology at present.

These results suggest sizable reductions in VoTT for travel in future AVs, and point to the need for caution in making forecasts based on consumers’ current perceptions of AV technology.

Authors: Dr. Andisheh Ranjbari, Jingya Gao, Don MacKenzie
Recommended Citation:
Gao, J., Ranjbari, A. & MacKenzie, D. Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles. Transportation 46, 2103–2116 (2019). https://doi.org/10.1007/s11116-019-10031-9
Paper

Defining Urban Freight Microhubs: A Case Study Analysis

 
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Publication: Sustainability
Volume: 14 (1), 532
Publication Date: 2021
Summary:

Urban freight distribution has confronted several challenges, including negative environmental, social, and economic impacts. Many city logistics initiatives that use the concept of Urban Consolidation Centers (UCCs) have failed.

The failure of many UCCs does not mean that the idea of additional terminals or microhubs should be rejected. There is limited knowledge about the advantages and disadvantages of using microhubs, requiring further exploration of this concept.

To expand this knowledge, this research combines 17 empirical cases from Europe and North America to develop a framework for classifying different microhubs typologies. This research presents an integrated view of the cases and develops a common language for understanding microhub typologies and definitions. The research proposes microhubs as an important opportunity to improve urban freight sustainability and efficiency and one possible step to manage the challenge of multi-sector collaboration.

Authors: Şeyma GüneşDr. Travis FriedDr. Anne Goodchild, Konstantina Katsela (University of Gothenburg), Michael Browne (University of Gothenburg)
Recommended Citation:
Katsela, Konstantina, Şeyma Güneş, Travis Fried, Anne Goodchild, and Michael Browne. 2022. "Defining Urban Freight Microhubs: A Case Study Analysis" Sustainability 14, no. 1: 532. https://doi.org/10.3390/su14010532
Paper

Finding Service Quality Improvement Opportunities Across Different Typologies of Public Transit Customers

Publication Date: 2018
Summary:

Existing approaches dealing with customer perception data have two fundamental challenges: heterogeneity of customer perceptions and simultaneous interrelationships between attitudes that explain customer behavior. This paper aims to provide practitioners with a methodology of service quality (SQ) evaluation based on public transit customers behavioral theory and advanced market segmentation that deals with these two fundamental challenges. The original contributions of this paper are: the definition of customer typologies based on advanced customer segmentation with latent class clustering; analysis of the effect of SQ perceptions on behavioral intentions within the behavioral theory framework that considers multiple attitudes simultaneously affecting customers’ intentions; identification of transit service improvement opportunities for specific customer typologies as well as common to most customers. Our research shows practitioners and researchers that specific needs and perceptions of customers can be identified by using advanced segmentation. We applied our method to a light-rail transit service in Seville, Spain. We measured the direct effects on behavioral intentions of the LRT SQ, customer satisfaction and, in the case of some customers, the available transportation alternatives. Other observed that attitudes of customers were indirectly related to behavioral intentions as well. We found customer agreement around these LRT SQ aspects of tangible service equipment, accessibility, information, individual space and environmental pollution. Customers clearly showed different opinions related to safety, customer service and availability.

Authors: José Luis Machado León, Rocio de Ona, Francisco Diez-Mesa, Juan De Ona
Recommended Citation:
Machado, J. L., de Oña, R., Diez-Mesa, F., & de Oña, J. (2018). Finding service quality improvement opportunities across different typologies of public transit customers. Transportmetrica A: Transport Science, 14(9), 761-783.
Paper

A Framework for Determining Highway Truck-Freight Benefits and Economic Impacts

 
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Publication: Journal of the Transportation Research Forum
Volume: 52
Pages: 27-43
Publication Date: 2013
Summary:
This paper proposes a method for calculating both the direct freight benefits and the larger economic impacts of transportation projects. The identified direct freight benefits included in the methodology are travel time savings, operating cost savings, and environmental impacts. These are estimated using regional travel demand models (TDM) and additional factors. Economic impacts are estimated using a regional Computable General Equilibrium (CGE) model. The total project impacts are estimated combining the outputs of the transportation model and an economic model. A Washington State highway widening project is used as a case study to demonstrate the method. The proposed method is transparent and can be used to identify freight specific benefits and generated impacts.
Though the Washington State Department of Transportation (WSDOT) has a long standing Mobility Project Prioritization Process (MPPP) (WSDOT 2000), which is a Benefit-Cost Analysis (BCA) framework used for mobility program assessment, it does not separately evaluate or account for the truck freight benefits of proposed highway infrastructure projects. It is therefore unable to evaluate and consider the economic impacts of highway projects that accrue to freight-dependent industries (those heavily reliant on goods movement) or non-freight-dependent firms (service sector) that are perhaps indirectly impacted by the productivity of the freight system. The established evaluation criteria of any transportation project largely influences the project selection and direction, thus for freight to become an integrated component of a managing agency’s transportation program, it must be recognized and acknowledged through the project evaluation criteria (NCHRP 2007). Before implementing any freight project evaluation criteria, an agency must first be able to identify the measures that matter to freight and freight-related systems. At this time there is no known nationally accepted framework for analyzing the full range of freight-related impacts stemming from transportation infrastructure projects. Complex interactions with separate, but not isolated, effects among economic, environmental, and social components with sometimes conflicting priorities make freight impacts more difficult to measure than those of other highway users (Belella 2005).
To successfully compete in a new funding world with significantly reduced monies for transportation infrastructure, states must become even more pragmatic about the means by which they emphasize and prioritize investments. Identification of the necessity to include freight performance measures in local, state, and national transportation plans, and rise above anecdotal understandings of system performance, is becoming evident as more municipalities and state agencies move toward implementing freight-related plans (MnDOT 2008, Harrison et al. 2006). Therefore, WSDOT has undertaken the development of an improved methodology to assess highway truck-freight project benefits designed to be integrated into the department’s existing prioritization processes. This paper lays out the development process of this effort and the resulting methodology. The contribution of this paper to the literature is to present a methodology that includes a truck-specific determination of the economic value of a project in addition to the economic impacts captured by a regional Highway Truck-Freight Benefits 28 computable general equilibrium (CGE) framework. The proposed method is transparent, and can be used to identify freight-specific benefits and generated impacts.
The remainder of this paper is organized as follows: the second section provides a brief review of the state of practice in the evaluation of transportation infrastructure investments; the third section details the process by which the benefits to be included in the analysis were selected and the methodology subsequently developed; the next section applies the methodologies to a case study and provides its result; the last section offers conclusions of the proposed methodology as well as the limitations of the study and directions for future work on fully incorporating freight into state DOT investment decisions.

 

 

Recommended Citation:
Wang, Zun, Jeremy Sage, Anne Goodchild, Eric Jessup, Kenneth Casavant, and Rachel L. Knutson. "A framework for determining highway truck-freight benefits and economic impacts." In Journal of the Transportation Research Forum, vol. 52, no. 1424-2016-118048, pp. 27-43. 2013.
Paper

An Analytical Model for Vehicle Miles Traveled and Carbon Emissions for Goods Delivery Scenarios

 
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Publication: European Transport Research Review
Volume: 10
Publication Date: 2018
Summary:

This paper presents an analytical model to contrast the carbon emissions from a number of goods delivery methods. This includes individuals travelling to the store by car, and delivery trucks delivering to homes. While the impact of growing home delivery services has been studied with combinatorial approaches, those approaches do not allow for systematic conclusions regarding when the service provides net benefit. The use of the analytical approach presented here, allows for more systematic relationships to be established between problem parameters, and therefore broader conclusions regarding when delivery services may provide a CO2 benefit over personal travel.

Methods

Analytical mathematical models are developed to approximate total vehicle miles traveled (VMT) and carbon emissions for a personal vehicle travel scenario, a local depot vehicle travel scenario, and a regional warehouse travel scenario. A graphical heuristic is developed to compare the carbon emissions of a personal vehicle travel scenario and local depot delivery scenario.

Results

The analytical approach developed and presented in the paper demonstrates that two key variables drive whether a delivery service or personal travel will provide a lower CO2 solution. These are the emissions ratio, and customer density. The emissions ratio represents the relative emissions impact of the delivery vehicle when compared to the personal vehicle. The results show that with a small number of customers, and low emissions ratio, personal travel is preferred. In contrast, with a high number of customers and low emissions ratio, delivery service is preferred.

Conclusions

While other research into the impact of delivery services on CO2 emissions has generally used a combinatorial approach, this paper considers the problem using an analytical model. A detailed simulation can provide locational specificity, but provides less insight into the fundamental drivers of system behavior. The analytical approach exposes the problem’s basic relationships that are independent of local geography and infrastructure. The result is a simple method for identifying context when personal travel, or delivery service, is more CO2 efficient.

Authors: Dr. Anne Goodchild, Erica Wygonik, Nathan Mayes
Recommended Citation:
Goodchild, Anne, Erica Wygonik, and Nathan Mayes. "An analytical model for vehicle miles traveled and carbon emissions for goods delivery scenarios." European Transport Research Review 10, no. 1 (2018): 8.
Paper

The Rise of Mega Distribution Centers and the Impact on Logistical Uncertainty

 
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Publication: Transportation Letters: The International Journal of Transportation Research
Volume: 2 (2)
Pages: 75-88
Publication Date: 2010
Summary:

Between 1998 and 2005, employment in the U.S. warehousing industry grew at a compound annual growth rate of 22.23%, and the number of establishments increased at compound annual growth rate of 9.48%. Over this same period of time, the price for transportation fuels increased dramatically and became much more volatile. In this paper we examine the microeconomic and macroeconomic forces that have enabled such rapid growth in the warehousing industry. We also analyze structural change through employment and warehouse construction starts data and show that a new breed of warehouse has emerged – the mega distribution center, or mega DC. Mega DCs serve mega markets, which allows them to gain advantage through economies of scale and by employing push-pull supply chain strategies that decrease the uncertainty associated with forecasting market demand. Our geographical analyses suggest that this new breed of mega DC is attracted to locations that optimize access to multiple regional markets (and possibly national markets) at the expense of optimizing access to any single market. On average the length of the final leg of the supply chain becomes longer. Because the last leg must be made by truck — which is the least fuel-efficient mode of transport by far — the location requirements of this new breed of mega DC increase supply chain exposure to the related risks of rising and increasingly volatile fuel prices.

Authors: Dr. Anne Goodchild, Derik Andreoli, Kate Vitasek
Recommended Citation:
Andreoli, Derik, Anne Goodchild, and Kate Vitasek. "The Rise of Mega Distribution Centers and the Impact on Logistical Uncertainty." Transportation Letters 2, no. 2 (2010): 75-88.
Paper

Evaluating Two Low-Cost Methods of Collecting Truck Generation Data Using Grocery Stores

 
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Publication: Institute of Transportation Engineers (ITE) Journal
Volume: 81 (6)
Pages: 34–40
Publication Date: 2011
Summary:

Despite their heavy use of the road transportation system, little data is available on trip generation rates for trucks. In this paper, truck trip rates from grocery stores are used in a case study to evaluate and compare two simple methods for collecting data on truck trip generation: telephone interviews and manual counts. The findings from this study showed that grocery stores generated an average of 18 truck trips per day on a typical peak period weekday. The results also showed that a combination of telephone interviews and manual counts was more effective than telephone interviews alone. Information from the telephone interview guided the manual counts and provided a baseline measurement of counts. However, the interviews underreported truck trips when compared to the manual observations.

Authors: Dr. Ed McCormack, Alon Bassok
Recommended Citation:
McCormack, Edward, and Alon Bassok. "Evaluating Two Low-Cost Methods of Collecting Truck Generation Data Using Grocery Stores." Institute of Transportation Engineers. ITE Journal 81, no. 6 (2011): 34.