Paper

A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas

URL: https://doi.org/10.1287/trsc.2019.0970

Publication: Transportation Science

Publication Date: 2020

Summary:

Understanding factors that drive the parking choice of commercial vehicles at delivery stops in cities can enhance logistics operations and the management of freight parking infrastructure, mitigate illegal parking, and ultimately reduce traffic congestion. In this paper, we focus on this decision-making process at large urban freight traffic generators, such as retail malls and transit terminals, that attract a large share of urban commercial vehicle traffic. Existing literature on parking behavior modeling has focused on passenger vehicles. This paper presents a discrete choice model for commercial vehicle parking choice in urban areas. The model parameters were estimated by using detailed, real-world data on commercial vehicle parking choices collected in two commercial urban areas in Singapore. The model analyzes the effect of several variables on the parking behavior of commercial vehicle drivers, including the presence of congestion and queuing, attitudes toward illegal parking, and pricing (parking fees). The model was validated against real data and applied within a discrete-event simulation to test the economic and environmental impacts of several parking measures, including pricing strategies and parking enforcement.

Authors: Dr. Giacomo Dalla Chiara, Lynette Cheah, Carlos Lima Azevedo, Moshe E. Ben-Akiya

Recommended Citation:
Dalla Chiara, Giacomo and Cheah, Lynette and Azevedo, Carlos Lima and Ben-Akiva, Moshe E. (2020). A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas. Transportation Science, 54(3), 606–630. https://doi.org/10.1287/trsc.2019.0970

Paper

Economic Analysis of Onboard Monitoring Systems in Commercial Vehicles

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URL: https://doi.org/10.3141/2379-08

Publication: Transportation Research Record

Volume: 2379

Pages: 64-71

Publication Date: 2013

Summary:

Onboard monitoring systems (OBMSs) can be used in commercial vehicle operations to monitor driving behavior, to enhance safety. Although improved safety produces an economic benefit to carriers, understanding how this benefit compares with the cost of the system is an important factor for carrier acceptance.

In addition to the safety benefits provided by the use of OBMSs, operational improvements may have economic benefits. This research provides, through a benefit-cost analysis, a better understanding of the economic implications of OBMSs from the perspective of the carrier. In addition to the benefits of reduced crashes, the benefits associated with reduced mileage, reduced fuel costs, and the electronic recording of hours of service (HOS) are considered. A sensitivity analysis demonstrates that OBMSs are economically viable under a wide range of conditions.

The results indicate that for some types of fleets, a reduction in crashes and an improvement in HOS recording provides a net benefit of close to $300,000 over the 5-year expected life span of the system. Furthermore, when additional benefits, such as reduced fuel consumption and reduced vehicle miles, are explored, the operation-related benefits can be upward of seven times more than the safety-related benefits.

This research also shows that net positive benefits are possible in large and small fleets. The results can be used to inform policies that motivate or mandate carriers to use such systems and to inform carriers about the value of system investment.

Authors: Dr. Anne Goodchild, Kelly A. Pitera, Linda Ng Boyle

Recommended Citation:
Pitera, Kelly, Linda Ng Boyle, and Anne V. Goodchild. "Economic Analysis of Onboard Monitoring Systems in Commercial Vehicles." Transportation Research Record 2379, no. 1 (2013): 64-71.

Paper

Delivery Process for an Office Building in the Seattle Central Business District

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URL: https://trid.trb.org/view/1497161

Publication: Transportation Research Record: Journal of the Transportation Research Board

Volume: Transportation Research Board 97th Annual Meeting

Publication Date: 2018

Summary:

Movement of goods within a central business district (CBD) can be very constraining with high levels of congestion and insufficient curb spaces. Pick-up and delivery activities encompass a significant portion of urban goods movement and inefficient operations can negatively impact the already highly congested areas and truck dwell times. Identifying and quantifying the delivery processes within the building is often difficult.

This paper introduces a systematic approach to examine freight movement, using a process flow map with quantitative delivery times measured during the final segment of the delivery process. This paper focuses on vertical movements such as unloading/loading activities, taking freight elevators, and performing pick-up/delivery operations. This approach allows us to visualize the components of the delivery process and identify the processes that consume the most time and greatest variability. Using this method, the authors observed the delivery process flows of an office building in downtown Seattle, grouped into three major steps: 1. Entering, 2. Delivering, 3. Exiting. This visualization tool provides researchers and planners with a better understanding of the current practices in the urban freight system and helps identify the non-value-added activities and time that can unnecessarily increase the overall delivery time.

Authors: Haena KimDr. Anne Goodchild, Linda Ng Boyle

Recommended Citation:
Kim, Haena, Linda Ng Boyle, and Anne Goodchild. "Delivery Process for an Office Building in the Seattle Central Business District." Transportation Research Record 2672, no. 9 (2018): 173-183.

Paper

Examining Carrier Categorization in Freight Models

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URL: http://dx.doi.org/10.1016/j.rtbm.2014.06.006

Publication: Research in Transportation Business & Management

Volume: 11

Pages: 116-122

Publication Date: 2014

Summary:

Travel demand models are used to aid infrastructure investment and transportation policy decisions. Unfortunately, these models were built primarily to reflect passenger travel and most models in use by public agencies have poorly developed freight components. Freight transportation is an important piece of regional planning, so regional models should be improved to more accurately capture freight traffic. Freight research has yet to fully identify the relationships between truck movements and company characteristics in a manner sufficient to model freight travel behavior. Through analyzing the results of a survey, this paper sheds light on the important transportation characteristics that should be included in freight travel demand models and classifies carriers based on their role in the supply chain. The survey of licensed motor carriers included 33 questions and was conducted in Oregon and Washington. Respondents were asked about their vehicle fleets, locations served, times traveled, time windows, types of deliveries, and commodities. An assessment of how the relationships found can be integrated into existing models is offered.

Authors: Dr. Anne Goodchild, Maura Rowell, Andrea Gagliano

Recommended Citation:
Rowell, Maura, Andrea Gagliano, and Anne Goodchild. Examining Carrier Categorization in Freight Models. Research in Transportation Business & Management 11 (2014): 116-122.

Paper

Forecasting Tools for Analyzing Urban Land Use Patterns and Truck Movement: A Case Study and Discussion

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URL: https://doi.org/10.3141/2547-11

Publication: Transportation Research Record

Volume: Volume 2547

Pages: 74-82

Publication Date: 2016

Summary:

Many urban planning efforts have supported development in dense, mixed-use areas, but tools are not widely available to help understand the relationship between urban form and goods movement. A review is presented on the status of urban goods movement forecasting models to account for the impacts of density and mixed land use. A description is given of a series of forecasting model runs conducted with state-of-the-practice tools available at the Puget Sound Regional Council. By comparing dense, mixed-use scenarios with different baseline and transportation network alternatives, the ability of the model to capture the relationship between goods movement and density is evaluated. The paper concludes with a discussion of the implications of the results for truck forecasting and freight planning.

Authors: Dr. Anne GoodchildDr. Ed McCormack, Erica Wygonik, Alon Bassok, Daniel Carlson

Recommended Citation:
Wygonik, Erica, Alon Bassok, Edward McCormack, Anne Goodchild, and Daniel Carlson. "Forecasting Tools for Analyzing Urban Land Use Patterns and Truck Movement: Case Study and Discussion of Results." Transportation Research Record 2547, no. 1 (2016): 74-82.

Paper

Canada’s Port of Prince Rupert as a Successful National Gateway Strategy

URL: http://dx.doi.org/10.3328/TL.2010.02.04.261-271

Publication: Transportation Letters

Volume: 4(10)

Pages: 261-271

Publication Date: 2010

Summary:

In this paper we examine the Port of Prince Rupert as a case study of the Canadian Gateway strategy. We consider the effect of the Gateway strategy on the development of a container terminal at the Port of Prince Rupert, and Prince Rupert’s effect on discretionary cargo at west coast ports in North America. Canada’s Asia-Pacific Gateway Initiative was developed specifically to increase trade between Canada and the Asia-Pacific region. The initiative, coupled with a national freight transportation policy framework, commits investments to a long term plan for infrastructure. Through this integrative policy and public-private collaboration, the container terminal at the Port of Prince Rupert has grown and a new route for Asia-North America trade has developed. The port presents a novel concept for North American ports by locating outside of an existing urban center, and focusing on through, rather than local, traffic. However, through a logistical analysis of market sizes and likely importers, we demonstrate that the new container terminal at Prince Rupert will not likely cause a dramatic shift in cargo flows on the West Coast.

Authors: Dr. Anne Goodchild, Kelly Pitera, Susan Albrecht

Recommended Citation:
Pitera, Kelly, Anne Goodchild, and Susan Albrecht. "Canada's Port of Prince Rupert as a successful national gateway strategy." Transportation Letters 2, no. 4 (2010): 261-271.

Paper

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

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URL: https://doi.org/10.1007/s11116-019-10031-9

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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URL: https://doi.org/10.3390/su14010532

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 GüneşTravis 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

URL: https://doi.org/10.1080/23249935.2018.1434257

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

Activity Modeling of Freight Flows in Washington State: Case Studies of the Resilience of Potato and Diesel Distribution Systems

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Publication Date: 2009

Summary:

This paper describes the development and use of a network model using publicly available industry data to analyze the resilience of two important Washington state industries. Modeling of freight activity in support of the potato and diesel industry in Washington state demonstrates how individual industries utilize the road network and how they are affected by a transportation disruption. We estimate the potato industry, which relies entirely on trucks for intra-state deliveries, generates about 50 cross-Cascade truck trips per day. Roughly 90 percent of the trucks deliver potatoes from processing facilities on the east side of the state to markets on the west side, while 10 percent carry fresh potatoes from the west to the east for processing. The coupled origins and destinations do not vary unless there is a disruption to the network. The diesel distribution system in Washington state also relies heavily on trucks, but only for the final segment of the logistics chain because both barge transport and pipelines are more cost effective modes. By necessity, trucks deliver from terminals to racks, but there is an established flexibility in these distribution operations as routes and travel distances regularly change because of variations in commodity price at each terminal and the presence of multiple terminals. As a consequence, we demonstrate that the diesel distribution system is much more resilient to roadway disruptions, especially those which occur along the cross-Cascades routes. These examples demonstrate the necessity of understanding industry practice as it relates to analyzing needed infrastructure and operational improvements to reduce economic impacts resulting from transportation disruptions.

Authors: Dr. Anne Goodchild, Sunny Rose, Derik Andreoli, Eric Jessup.

Recommended Citation:
Goodchild, Anne. Sunny Rose, Derik Andreoli, and Eric Jessup. "Activity Modeling of Freight Flows in Washington State: Case Studies of the Resilience of Potato and Diesel Distribution Systems."