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Yu-Chen Chu

Yu-Chen Chu
Yu-Chen Chu
  • Research Assistant, Urban Freight Lab
  • Ph.D. Student, Urban Planning and Design, University of Washington

Yu-Chen’s research interests include last-mile delivery and freight equity.

  • APTF Board Scholarship, American Public Transportation Foundation (APTF), Aug 2024
  • 2024 Dekema Scholarship, California Transportation Scholarship, Aug 2024
  • Lewis Center Capstone Fellowship, UCLA Institute of Transportation Studies, Dec 2023
  • James A. Ditch Education Fund Scholarship, California Transit Training Consortium (CTTC), Nov 2023
  • Vanessa Dingley Fellowship, Department of Urban and Regional Planning, UCLA, Sep 2023
  • Berg & Associates Scholarship, Women’s Transportation Seminar – Los Angeles (WTS – LA), Sep 2023
  • American Disability Association Scholarship, APTF, Aug 2023
  • Systra Scholarship, Conference of Minority Transportation Officials (COMTO), Jul 2023
  • Ph.D., Urban Planning and Design, University of Washington (in progress)
  • MURP., Urban and Regional Planning, University of California, Los Angeles
  • B.S. in Agriculture, Horticulture and Landscape Architecture, National Taiwan University

Yu-Chen holds a Bachelor of Science in Agriculture from National Taiwan University and a Master’s in Urban and Regional Planning from UCLA. She is currently pursuing a Ph.D. in Urban Planning and Design at the University of Washington.

At UCLA, she was a graduate research assistant, focusing on community vulnerability research related to wildfire risks, specifically in the context of vehicle electrification, land use, and gentrification.

Prior to her studies at UCLA, she gained practical experience as a landscape designer at AECOM in Taipei, where she worked on complete street designs and regional recreational planning projects.

Her recent publications include:

Chu, Yu-Chen & Taylor, Brian. (2024). “The Impact of SADRs on Vehicle Travel and Emissions: A Focus on On-Demand Food Delivery.” Invited presentation at the 2025 Transportation Research Board Annual Meeting, the 2025 ASCE International Conference on Transportation & Development, and the 2024 METRANS International Urban Freight Conference.

Zhang, N., Jiang, Q., He, B., & Ma, J. (2024, January 10). Multi-scale vulnerability analysis for transportation electrification under extreme weather events. Paper presented at the Transportation Research Board Annual Meeting, Washington, D.C.

Chu, Yu-Chen & Cheng, Chia-Kuen. (2021). “Effect of Renao Scenes on Relationships between Perceived Crowding and Satisfaction.” Journal of Outdoor Recreation Study (TSSCI), 34(4), 67-98. http://dx.doi.org/10.6130/JORS.202112_34(4).0003

Leveraging a Connected Network of Unattended Micro-Pantries to Reduce Food Waste and Improve Food Security

Traditional Hunger Relief Organizations (HROs) play a central role in reducing food insecurity. However, they face increasing challenges in equitably distributing rescued food. Vulnerable populations, such as the elderly, physically disabled individuals, and households with children, are often not able to access HROs during limited opening hours. Moreover, HROs often do not rescue food from smaller businesses, such as cafes, restaurants, and households which contribute to 70 percent of food waste in urban areas. Instead, HROs rely mostly on larger supply chains, not directly reducing food waste at a neighborhood level. This project proposes to pilot a decentralized network of connected, unattended food micro-pantries to provide real-time information on existing demand for rescued food to food donors, collect food donations at a micro-scale level across neighborhoods of the Seattle study area, and monitor food safety. Micro-pantries are an emerging community-driven concept of independent, small, unattended, open-access, and community-run food pantries and fridges that are hosted on public-right-of-way or private properties and maintained by community members and local organizations. The disaggregated network of micro-pantries could support HROs as additional, more accessible and resilient food sources available closer to vulnerable communities and support more localized food rescue from households and local businesses.

The research team will prototype a wireless sensor platform installed at selected micro-pantries to collect food donations and pick-up data and provide real-time information to community groups, HROs, and local businesses to optimize the distribution of rescued food. The project is the first empirical study to quantitatively analyze micro-pantries’ role in fighting food insecurity and improving equitable access to healthy eating. The research team will (1) perform a geospatial analysis of the existing network of micro-pantries in Seattle, WA; (2) develop and test a novel low-cost sensing system to detect food donations and pick-ups and measure food conditions; (3) develop a food donation training protocol for households and businesses located in proximity to micro-pantries; (4) estimate empirical demand and supply models to distribute rescued food optimally; (5) perform community outreach to document current food waste and food rescue practices. This research will provide a valuable, first-of-its-kind formal study of micro-pantries as a potential solution to food security that seeks to close gaps in traditional food rescue distribution. The results will provide key data to scale up programs that benefit low-income, food-insecure individuals, establishing a proof of concept for new community-based food distribution methods. The team includes experts from the University of Washington on urban distribution systems, sensor systems, and food safety, as well as a community partner working with local HROs to support food rescue and distribution.

This project is in response to the Civic Innovation Challenge program’s Track B. Bridging the gap between essential resources and services & community needs and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.

Leveraging a Connected Network of Unattended Micro-Pantries to Reduce Food Waste and Improve Food Security

Traditional Hunger Relief Organizations (HROs) play a central role in reducing food insecurity. However, they face increasing challenges in equitably distributing rescued food. Vulnerable populations, such as the elderly, physically disabled individuals, and households with children, are often not able to access HROs during limited opening hours. Moreover, HROs often do not rescue food from smaller businesses, such as cafes, restaurants, and households which contribute to 70 percent of food waste in urban areas. Instead, HROs rely mostly on larger supply chains, not directly reducing food waste at a neighborhood level.

This project proposes to pilot a decentralized network of connected, unattended food micro-pantries to provide real-time information on existing demand for rescued food to food donors, collect food donations at a micro-scale level across neighborhoods of the Seattle study area, and monitor food safety. Micro-pantries are an emerging community-driven concept of independent, small, unattended, open-access, and community-run food pantries and fridges that are hosted on public-right-of-way or private properties and maintained by community members and local organizations. The disaggregated network of micro-pantries could support HROs as additional, more accessible and resilient food sources available closer to vulnerable communities and support more localized food rescue from households and local businesses.

The research team will prototype a wireless sensor platform installed at selected micro-pantries to collect food donations and pick-up data and provide real-time information to community groups, HROs, and local businesses to optimize the distribution of rescued food. The project is the first empirical study to quantitatively analyze micro-pantries’ role in fighting food insecurity and improving equitable access to healthy eating. The research team will (1) perform a geospatial analysis of the existing network of micro-pantries in Seattle, WA; (2) develop and test a novel low-cost sensing system to detect food donations and pick-ups and measure food conditions; (3) develop a food donation training protocol for households and businesses located in proximity to micro-pantries; (4) estimate empirical demand and supply models to distribute rescued food optimally; (5) perform community outreach to document current food waste and food rescue practices. This research will provide a valuable, first-of-its-kind formal study of micro-pantries as a potential solution to food security that seeks to close gaps in traditional food rescue distribution. The results will provide key data to scale up programs that benefit low-income, food-insecure individuals, establishing a proof of concept for new community-based food distribution methods. The team includes experts from the University of Washington on urban distribution systems, sensor systems, and food safety, as well as a community partner working with local HROs to support food rescue and distribution.

This project is in response to the Civic Innovation Challenge program’s Track B. Bridging the gap between essential resources and services & community needs and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.

This award reflects NSF’s statutory mission and has been deemed worthy of support through evaluation using the Foundation’s intellectual merit and broader impacts review criteria.

Freight and Bus Lane (FAB) Data Collection and Evaluation Plan (Route 40)

The Urban Freight Lab (UFL) was approached by the Seattle Department of Transportation (SDOT) to complete a review of proposed evaluation criteria and propose a data collection plan in preparation for the implementation of a Freight and Bus Lane (FAB) Lane in Fall 2024 for King County Metro’s Bus Route 40.

This project would effectively produce the follow-on scope of work for the UFL to complete during the actual implementation (pre/post/post phase). UFL will build on the findings from the Urban Freight Lab’s Freight and Transit Lane Case Study completed in 2019. With the completion of the Route 40 TPMC project in Fall 2024, FAB lanes will be tested as a pilot in select locations and evaluated before permanent installation.

Objectives

  • Refresh literature review on freight and transit lane studies
  • Meet with key stakeholders from SDOT and Metro to understand data collection tools and methodologies
  • Propose a technical evaluation plan for this pilot that includes data collection and metrics and communication strategies
Chapter

Success Factors for Urban Logistics Pilot Studies

Publication: The Routledge Handbook of Urban Logistics
Publication Date: 2023
Summary:

The last mile of delivery is undergoing major changes, experiencing new demand and new challenges. The rise in urban deliveries amid the societal impacts of the COVID-19 pandemic has dramatically affected urban logistics. The level of understanding is increasing as cities and companies pilot strategies that pave the way for efficient urban freight practices. Parcel lockers, for instance, have been shown to reduce delivery dwell times with such success that Denmark increased its pilot program of 2,000 lockers to 10,000 over the past two years. This chapter focuses on challenges faced during those pilots from technical, managerial and operational perspectives, and offers examples and lessons learned for those who are planning to design and/or run future pilot tests. On-site management proved to be critical for locker operations.

Recommended Citation:
Ranjbari, Andisheh & Goodchild, A & Guzy, E. (2023). Success Factors for Urban Logistics Pilot Studies. 10.4324/9781003241478-27.

Dynamically Managed Curb Space Pilot

Transportation Network Company (TNC) usage in Seattle has been increasing every quarter since 2015 when the City of Seattle Department of Transportation (SDOT) began collecting data. TNC trips exceeded 20 million in 2017, a 46% increase from total reported trips in 2016. This has led to concerns about congestion and pedestrian safety as cars and people take risks to connect at the curb and in the right-of-way. By providing additional curb capacity through increased passenger loading zones and directing customers via in-app messaging, the City may be able to reduce congestion and unsafe vehicle/people movements during peak traffic and late-night hours.

Other cities have attempted to study the impacts of increased usage of passenger loading zones (e.g., San Francisco, Washington D.C.), with varying success, but no standard methodology exists for cities to assess the potential for reallocated curb space and the subsequent impacts of those changes. SDOT is taking a data-driven approach to curb reallocation and traffic network impacts, modeling the work SDOT has done to quantify demand in paid parking areas and set rates accordingly. The main goals of this pilot are three-fold: increase pedestrian safety, minimize congestion impacts on the larger transportation network, and build a scalable methodology for assessment and implementation of curb allocation to accommodate this new mobility service.

The Supply Chain Transportation & Logistics Center and SDOT will work in collaboration with employers, transit operators, and TNCs to test a variety of strategies to mitigate the traffic impacts of TNC pick-ups on the greater transportation network and improve safety for passengers and drivers. Strategies include increasing the number of passenger loading zones in high-traffic pick-up areas and geofenced pick-up or black-out areas. Curb and street use data will be collected under each alternative and compared to baseline data.

Paper

A Meta-Heuristic Solution Approach to Isolated Evacuation Problems

 
Download PDF  (0.40 MB)
Publication: IEEE (Institute of Electrical and Electronics Engineers)
Volume: 2022 Winter Simulation Conference (WSC) INFORMS
Publication Date: 2022
Summary:

This paper provides an approximation method for the optimization of isolated evacuation operations, modeled through the recently introduced Isolated Community Evacuation Problem (ICEP). This routing model optimizes the planning for evacuations of isolated areas, such as islands, mountain valleys, or locations cut off through hostile military action or other hazards that are not accessible by road and require evacuation by a coordinated set of special equipment. Due to its routing structure, the ICEP is NP-complete and does not scale well. The urgent need for decisions during emergencies requires evacuation models to be solved quickly. Therefore, this paper investigates solving this problem using a Biased Random-Key Genetic Algorithm. The paper presents a new decoder specific to the ICEP, that allows to translate in between an instance of the S-ICEP and the BRKGA. This method approximates the global optimum and is suitable for parallel processing. The method is validated through computational experiments.

Authors: Dr. Anne GoodchildFiete Krutein, Linda Ng Boyle (University of Washington Dept. of Industrial & Systems Engineering)
Recommended Citation:
K. F. Krutein, L. N. Boyle and A. Goodchild, "A Meta-Heuristic Solution Approach to Isolated Evacuation Problems," 2022 Winter Simulation Conference (WSC), Singapore, 2022, pp. 2002-2012, doi: 10.1109/WSC57314.2022.10015470.
Presentation

Ecommerce and Environmental Justice in Metro Seattle U.S.

 
Publication: Laboratoire Ville Mobilite Transport (City Transportation Mobility Laboratory), Paris
Publication Date: 2022
Summary:

The central research question for this project explores the distributional impacts of ecommerce and its implications for equity and justice.

The research aims to investigate how commercial land use affects people and communities. In 2018, U.S. warehouses surpassed office buildings as the primary form of commercial and industrial land use, now accounting for 18 billion square feet of floor space. Warehouses have experienced significant growth in both number and square footage, becoming the predominant land use in the U.S. Warehouse expansion has strategically sprawled from port areas to suburbs in order to get closer to populations and transportation access.

The research findings reveal a correlation between warehouse locations and lower-income communities, resulting in increased exposure to air pollution and triple the traffic associated with ecommerce. Conversely, higher-income populations experience the least exposure, despite making more than half of their purchases online compared to their lower-income counterparts.

Factors such as race and proximity to highways and warehouse locations emerge as stronger predictors of the volume of freight activity through ecommerce than individuals’ income levels or the number of orders placed. Going forward, there is an opportunity for retailers and distributors to take into account the health implications of warehouse placement, and governments can provide best practices to facilitate municipal coordination, particularly where local authorities may be unaware of the impacts.

Authors: Travis Fried
Report

Analysis of Online Shopping and Shopping Travel Behaviors in West Seattle

 
Download PDF  (1.27 MB)
Publication Date: 2023
Summary:

The purpose of this research is to explore consumers’ online shopping and in-person shopping travel behaviors and the factors affecting these behaviors within the geographical context of the study area of West Seattle.

West Seattle is a peninsula located southwest of downtown Seattle, Washington State. In March 2020, the West Seattle High Bridge, the main bridge connecting the peninsula to the rest of the city, was closed to traffic due to its increased rate of structural deterioration. The closure resulted in most of the traffic being re-distributed across other bridges, forcing many travelers to re-route their trips in and out of the peninsula. At about the same time, the COVID-19 pandemic caused business-shuttering lockdowns. Both events fundamentally changed the nature of shopping and the urban logistics system of the study area.

The Seattle Department of Transportation (SDOT) engaged the Urban Freight Lab (UFL) at the University of Washington to conduct research to understand current freight movements and goods demands in West Seattle and identify challenges related to the bridge closure to inform data-driven mitigation strategies. The study took place in two phases: the first phase documented the challenges experienced by local businesses and carriers through a series of interviews and quantified the freight trip generated by land use in the case study area1 ; the second phase, described in the current report, performed an online survey to understand online shopping and in-person shopping travel behaviors for West Seattle residents.

The main objectives of the current study are twofold:

  • Describe online shopping and shopping travel consumer behaviors for West Seattle residents.
  • Understand what factors influence consumer shopping behaviors, from accessibility to local stores, to the characteristics of goods purchased, to socio-economic factors.

Methods

To address these objectives, the research team designed an online questionnaire that was advertised through a West Seattle Bridge Closure-related SDOT newsletter and other local online media outlets during the spring and summer of 2022. The questionnaire asked respondents about their socioeconomic conditions (age, income, education, etc.), where they live and their access to transportation (vehicle ownership and types of vehicles), their online shopping behavior, the impact of the West Seattle High Bridge closure on their shopping habits, and about their most recent purchase for a given category of goods among clothing items, groceries, restaurant food, and household supplies. The questionnaire was collected anonymously, and no personally identifiable information was collected. A total of 1,262 responses were collected, and after data processing, the final sample data consisted of 919 responses, corresponding approximately to 1 percent of the study area population.

Comparing the socioeconomic characteristics of the sample with those of the West Seattle study population it should be noted that individuals identifying themselves as white and female and of older age were oversampled, while individuals with lower than a college degree and with annual income less than $50,000 were under-sampled. Therefore, the sample in general is more representative of a more affluent, older population.

Key Findings

The key findings are summarized as follows:

Online shopping is widespread for clothing items and restaurant food.

Respondents receive on average 5 deliveries per week, across all goods categories. 38.7 percent of the respondents reported performing their most recent shopping activity online, considering all goods categories. However, the frequency of online shopping varied across different goods categories. Most of the respondents that purchased groceries or household supplies reported having shopped in person (89 and 75 percent of the respondents respectively), while, in contrast, for those that purchased restaurant food and clothing items, two-thirds of respondents reported buying online in both categories. Online shopping is widespread in the clothing and restaurant food markets, but less in grocery and household supplies markets. Of the consumers that shopped online for restaurant food, 76 percent of them decided to travel to take out (also referred to as curbside pickup), and only 24 percent of them chose to have the meal delivered directly to their home.

Online shopping is more widespread among mobility-impaired individuals

Participants were asked whether they had a disability that limited physical activities such as carrying, walking, lifting, etc. Of the 918 participants, 98 (11%) responded that they did have a disability that fit this description. The share of respondents that shop online was higher among mobility-impaired individuals (30 percent online for delivery and 19 percent online for pick-up) compared to individuals that did not report any mobility impairment (23 percent online for delivery and 12 percent online for pick-up).

Driving is the predominant shopping travel mode

Of the sample of respondents, 96 percent reported having access to a motorized vehicle within their household. Driving is also the most common shopping mode of in-person travel, with 81.3 percent of respondents reporting that they drove to a store to shop. Walking is a distant second preferred shopping travel mode, with 13.1 percent of respondents reporting having walked to a store. Biking and public transit were rarely adopted as a shopping travel mode, together they were observed 5.6 percent of the time. Though included as a travel option, only 1 participant reported using a rideshare vehicle to shop.

Electrification in West Seattle

Of the respondents that have access to a motorized vehicle in their households, 9.8 percent of them reported owning an electric vehicle. Car ownership is much more widespread than bike ownership, with 51.6 percent of the respondents reporting having access to a bike. Among these, 15.5 percent of them said that at least one of their bikes is electric.

The 10-minute city

The average walking time across all types of goods purchased was 10 minutes. The average driving time, for those respondents that reported driving to a store, was also about 10 minutes, except for those who reported purchasing clothing items, which reported on average of 27-minute trip time (both using a private car or using public transit). The longest travel times are seen mostly for respondents that took public transit as a shopping travel mode.

Living in proximity to stores reduces driving and online deliveries

A higher number of stores within a 10-minute walking distance (0.5 miles) is correlated with a higher number of consumers choosing to walk to a store, compared to those that chose to drive to a store or that shopped online. This is true across all goods types, but it is more significantly seen in grocery shopping. Moreover, accessibility to commercial establishments at a walking distance has a stronger impact on reducing the likelihood of driving, and at a lesser magnitude, reduces the propensity of shopping online.

Delivery to the doorstep is the most common destination for online deliveries

For those that chose to buy online, the most common delivery destination was at the respondents’ home doorstep (84 percent of respondents reported receiving online deliveries at home). The second most frequently used delivery destination was parcel lockers (15 percent of respondents), with 12 percent of respondents making use of private lockers, while only 3 percent made use of public lockers. The remaining one percent received deliveries at other destinations (e.g. office or nearby store).

The West Seattle High Bridge closure incentivized local shopping

When asked about the impacts of the West Seattle Bridge closure on individual online and shopping travel behaviors, more respondents reported buying more locally and online, vs. traveling farther for shopping and buying in person.

Recommended Citation:
Goodchild, A., Dalla Chiara, G., Verma, R., Rula, K. (2023) Analysis of Online Shopping and Shopping Travel Behaviors in West Seattle, Urban Freight Lab.
Student Thesis and Dissertations

Optimization Modeling Approaches to Evacuations of Isolated Communities

Publication Date: 2022
Summary:

Isolated communities are particularly vulnerable to disasters caused by natural hazards. In many cases, evacuation is the only option to ensure the population’s safety. Isolated communities are becoming increasingly aware of this threat and demand solutions to this problem. However, the large body of existing research on evacuation modeling usually considers environments where populations can evacuate via private vehicles and by using an existing road infrastructure. These models are often not applicable to remote valleys and islands, where road connections can be disrupted or do not exist at all. The use of external resources is therefore essential to evacuate the population. How to systematically evacuate an isolated community through a coordinated fleet of resources has not yet been researched. This dissertation thesis addresses this knowledge gap by designing a new routing problem called the Isolated Community Evacuation Problem (ICEP) that optimally routes recovery resources between evacuation pick-up points and shelter locations to minimize the total evacuation time. The research presents derivations of the initial model for (a) emergency planning and (b) response purposes to give emergency planners and researchers tools to prepare for and react to an evacuation of an isolated community. For (a), a scenario-based two-stage stochastic program with recourse considers different emergency scenarios to select the optimal set of recovery resources to hold available for any evacuation emergency. Furthermore, the dissertation explores efficient structure-based heuristics to solve the problem quickly. For (b), the assumption of certainty over the size of the affected population at the time of evacuation is relaxed. Approaches from robust and rolling-horizon optimization are presented to solve this problem. Moreover, meta-heuristics are explored to solve the problem to optimality while overcoming the complexity of the problem formulation. Finally, an in-depth, real-world case study that was conducted in collaboration with first responders and emergency authorities on Bowen Island in Canada is presented to test and evaluate the applicability of the proposed models. This case study further informed the official evacuation plan of the island. This collaboration demonstrates the potential of full integration of the research approach with local emergency expertise from the affected area and highlights the data requirements that need to be met to maximize the use of the model.

Authors: Fiete Krutein