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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.
Paper

Building Resilience into Freight Transportation Systems: Actions for State Departments of Transportation

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Volume: 2168
Pages: 129-135
Publication Date: 2010
Summary:

The management of transportation systems for resilience has received significant attention in recent years. Resilience planning concerns the actions of an organization that reduce the consequences of a disruption to the system the organization manages. Little exploration has been made into the connections between resilience planning and the actions of a state department of transportation (DOT) that contribute to resilience of a freight transportation system. Conclusions are presented from collaborative research between the Washington State DOT Freight Systems Division (WSDOT FSD) and researchers at the University of Washington. Activities of the WSDOT FSD that contribute to resilience are identified, and one such activity undertaken by WSDOT to improve communication with system users is described. This and other activities can be undertaken by other DOTs that want to improve the resilience of their freight transportation systems at relatively low cost.

Authors: Dr. Anne GoodchildBarbara Ivanov, Chilan Ta
Recommended Citation:
Ta, Chilan, Anne V. Goodchild, and Barbara Ivanov. "Building Resilience into Freight Transportation Systems: Actions for State Departments of Transportation." Transportation Research Record 2168, no. 1 (2010): 129-135.
Paper

What is the Right Size for a Residential Building Parcel Locker?

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Publication Date: 2022
Summary:

Common-carrier parcel lockers present a solution for decreasing delivery times, traffic congestion, and emissions in dense urban areas through consolidation of deliveries. Multi-story residential buildings with large numbers of residents, and thus a high volume of online package orders, are one of the best venues for installing parcel lockers. But what is the right size for a residential building locker that would suit the residents’ and building managers’ needs?

Because of the novelty of parcel lockers, there is no clear guideline for determining the right locker size and configuration for a residential building given the resident population. A small locker would result in packages exceeding capacity and being left in the lobby, increasing the building manager’s workload and confusing and inconveniencing users. On the other hand, a large locker is more expensive, more difficult to install, and unappealing to residents.

To answer this question, we installed a common-carrier parcel locker in a residential building in downtown Seattle, WA, U.S.A. Through collecting detailed data on locker usage from the locker provider company, we studied and quantified carriers’ delivery patterns and residents’ online shopping and package pickup behaviors. We then used this information to model the locker delivery and pickup process, and simulated several locker configurations to find the one that best suits the delivery needs of the building.

These findings could aid urban planners and building managers in choosing the right size for residential building lockers that meet delivery demand while minimizing costs and contributing to environmental benefits.

Recommended Citation:
Ranjbari, A., Diehl, C., Chiara, G. D., & Goodchild, A. (2022). What is the Right Size for a Residential Building Parcel Locker?. Transportation Research Record, 03611981221123807. https://doi.org/10.1177/03611981221123807
Paper

Site-Specific Transportation Demand Management: Case of Seattle’s Transportation Management Program, 1988–2015

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Publication Date: 2021
Summary:

A central theme of U.S. transportation planning policies is to reduce single-occupancy vehicle (SOV) trips and promote transit and non-motorized transportation by coordinating land-use planning and transportation demand management (TDM) programs. Cities often implement TDM programs by intervening with new development during the municipal permit review process. Seattle’s Transportation Management Program (TMP) under a joint Director’s Rule (DR) requires a commitment from developers to adopt select strategies from six TDM element categories: program management, physical improvements, bicycle/walking programs, employer-based incentives, transit and car/vanpooling, and parking management. TMP targets new developments and requires some TDM elements, recommends others, and leaves the rest to negotiation. The result is an individualized TMP agreement that is site-specific, reflecting both city policy and developer needs. This case study presents a qualitative analysis of the guiding eight DRs and 41 site-specific TMP agreements in Seattle’s Downtown and South Lake Union (SLU) area since 1988. Overall, a content analysis of TMP documents reveals that the average number of elements adopted in an agreement falls short of requirements set by DRs (34%–61%). Major findings include developer preference toward non-traditional TDM measures such as physical improvement of frontage and urban design features, as well as parking management. High-occupancy vehicle (HOV) elements showed higher adoption rates (59%–63%) over biking/walking programs (1%). It is concluded that future TDM policies could benefit if future research includes examining the effectiveness of the range of management options stemming from the real estate trends toward green buildings, tenants’ values in sustainability, and city policy to reduce automobile trips.

Authors: Dr. Ed McCormack, Mairin McKnight-Slottee, Chang-Hee Christine Bae
Recommended Citation:
McKnight-Slottee, Bae, C.-H. C., & McCormack, E. (2022). Site-Specific Transportation Demand Management: Case of Seattle’s Transportation Management Program, 1988–2015. Transportation Research Record, 2676(1), 573–583. https://doi.org/10.1177/03611981211035765. 
Paper

Truck Trip Generation by Grocery Stores

 
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Publication: Washington State Transportation Innovations Unit and Washington State Transportation Commission
Publication Date: 2010
Summary:
Quantifying the relationship between the number and types of truck trips generated by different land uses provides information useful for traffic demand analyses, forecasting models, and a general understanding of the factors that affect truck mobility. This project evaluated data collection methodologies for determining truck trip generation rates by studying a specific kind of establishment. This effort focused on grocery stores and collected both interview and manual count data from eight supermarkets in the Puget Sound region.
We selected grocery stores for this project because they constitute a common land use that is present in almost every type of neighborhood in the metropolitan region. Grocery stores generate truck trips that have the potential to affect all levels of the transportation roadway network, from local roads in neighborhoods to highways. The eight stores in the Puget Sound region identified for this study were diverse and included both national and local chains. The stores ranged in size from 23,000 to 53,500 square feet and included a variety of urban and suburban locations.
Methodologies for gathering trip generation information were identified in the literature. Telephone interviews and manual counts, which are frequently used data collection methodologies, were explored in this project. The project started with telephone interviews of four distribution centers. This step helped to refine the interview approach and helped to determined that data from larger warehouses could not be easily used to develop information on the number of trips traveling to individual stores. A second round of interviews, lasting between 10 and 15 minutes, was then conducted with the managers or receivers of the nine grocery stores. In addition to the number of truck trips that the store generated, the interviews explored a range of topics related to the busiest days and their delivery windows. This information was used to set up manual, on-site truck counts at each of the grocery stores.
We concluded that a combination of telephone interviews and manual counts is a reasonable way to collect accurate truck trip generation rates. Telephone interviews were an important first step. They established contact with grocery stores, which then provided permission for on-site manual counts. Information elicited from store interviews also included the days and times when the viii truck deliveries occurred so that the manual counts could be scheduled to reflect optimal times. In addition, the interview conversations provided sometimes unanticipated but valuable information that was relevant to understanding truck trip-generation rates. Because it is cost prohibitive and inefficient to send manual counting teams to observe facilities for long shifts, information from store managers regarding their delivery windows and hours made the counts more feasible.
The Puget Sound grocery stores in the study (all of which were conventional supermarkets) generated an average of 18 truck trips per day on typical weekdays. These daily counts were probably low, as some of the stores accepted a few late deliveries outside of the receiving windows. Most of these truck arrivals occurred before noon, and the average delivery time was 27 minutes. Although peak days of the week varied across the sample set, all reported higher volumes during holidays.
The manual counts (15 site observations) provided more accurate truck trip generation rates than did telephone interviews. The interview responses indicated approximately ten to twelve trucks per day in comparison to the average of 18 trucks per day counted at each store by observers. The telephone interviewees at the grocery stores clearly underestimated the number of trucks and provided only minimal information on truck characteristics. Manual counts also provided more detailed information regarding truck type, delivery location (loading docks or front door), average delivery time, and product mix.
Few grocery store characteristics that could be directly related to truck trip generation rates were identified. The project team reviewed literature discussing both trip generation data collection and grocery store management and could not identify any specific characteristic that could be used to quantify the number of truck trips generated by different stores. While size or employment is often related to truck trips in the ITE Trip Generation Manual, this effort did not find any direct relationship with these variables, with a possible exception related to a store’s size. This finding, that smaller stores generated more trucks trips, suggests that one promising area to explore is the linkage between the level at which stores are served by regional warehouses or direct service delivery (DSD) and the number and type of truck trips. The manual counts indicated variability in the nature and size of the delivery trucks, which in turn related to ix whether the deliveries were at the front door (often small trucks and DSD) or loading dock (larger trucks from warehouses with consolidated loads). Smaller stores often use more DSD, which may result in more truck trips generated. It is also possible that smaller stores had smaller stock rooms, requiring more frequent deliveries. Other census-related variables such median household income, residential density and jobs-housing balance, were evaluated, but no significant relationships to truck trip rates were found.

 

Authors: Dr. Ed McCormack, Alon Bassok, Emily Fishkin, Chilan Ta
Recommended Citation:
McCormack, E., Ta, C., Bassok, A., & Fishkin, E. (2010). Truck Trip Generation by Grocery Stores. (No. TNW2010-04).
Paper

Commercial Vehicle Parking in Downtown Seattle: Insights on the Battle for the Curb

 
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Publication: Transportation Research Record: Journal of the Transportation Research Board
Publication Date: 2019
Summary:

Rapid urban growth puts pressure on local governments to rethink how they manage street curb parking. Competition for space among road users and lack of adequate infrastructure force delivery drivers either to search for vacant spaces or to park in unsuitable areas, which negatively impacts road capacity and causes inconvenience to other users of the road.

The purpose of this paper is to advance research by providing data-based insight into what is actually happening at the curb. To achieve this objective, the research team developed and implemented a data collection method to quantify the usage of curb space in the densest urban area of Seattle, Center City.

This study captures the parking behavior of commercial vehicles everywhere along the block face as well as the parking activities of all vehicles (including passenger vehicles) in commercial vehicle loading zones. Based on the empirical findings, important characteristics of Seattle’s urban freight parking operations are described, including a detailed classification of vehicle types, dwell time distribution, and choice of curb use for parking (e.g., authorized and unauthorized spaces). The relationship between land use and commercial vehicle parking operations at the curb is discussed. Seattle’s parking management initiatives will benefit from the insights into current behavior gained from this research.

Rapid urban growth, increasing demand, and higher customer expectations have amplified the challenges of urban freight movement. Finding an adequate space to park can be a major challenge in urban areas. For commercial vehicles used for freight transportation and provision of services, the lack of parking spaces and parking policies that recognize those vehicles’ unique needs can have negative impacts that affect all users of the road, particularly the drivers of these commercial vehicles (1–4).

The curb is an important part of the public right-of-way. It provides a space for vehicles to park on-street; for delivery vehicles (i.e., cargo bikes, cargo vans, and trucks), in particular, it also provides a dedicated space for the loading and unloading of goods close to destinations. Hence it is a key asset for urban freight transportation planning which local governments can administer to support delivery and collection of goods.

According to Marcucci et al. (5), the development of sustainable management policies for urban logistics should be based on site-specific data given the heterogeneity and complexity of urban freight systems. Current loading/unloading parking policies include time restrictions, duration, pricing, space management, and enforcement (6, 7). However, as Marcucci et al. pointed out after an extensive review of the literature on freight parking policy, the quantification of commercial vehicle operations on the curb to inform policy decision making is nonexistent (5). Therefore, local governments often lack data about the current usage of the curb and parking infrastructure, which is necessary to evaluate and establish these policies and therefore make well-informed decisions regarding freight planning, especially in dense, constrained urban areas.

Given the importance of the curb as an essential piece of the load/unload infrastructure, this paper investigates what is actually happening at the curb, developing an evidence-based understanding of the current use of this infrastructure. The research team developed and applied a systematic data collection method resulting in empirical findings about the usage of public parking for loading and unloading operations in the Seattle downtown area.

This research documents and analyzes the parking patterns of commercial vehicles (i.e., delivery, service, waste management, and construction vehicles) in the area around five prototype buildings located in the Center City area. The results of this research will help to develop and inform parking management initiatives.

The paper includes four sections in addition to this introduction. The second section discusses previous freight parking studies and the existing freight parking policies in cities, and explores which of these approaches are being used in Seattle. The third section proposes a data collection method to document freight-related parking operations at the curb though direct observations. The fourth section provides empirical findings from data collection in Seattle. The fifth and last section includes a discussion of the findings and concluding remarks.

Recommended Citation:
Girón-Valderrama, Gabriela del Carmen, José Luis Machado-León, and Anne Goodchild. "Commercial Vehicle Parking in Downtown Seattle: Insights on the Battle for the Curb." Transportation Research Record (2019): 0361198119849062.