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    <title>Recent its_ds items</title>
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    <description>Recent eScholarship items from Dissertations</description>
    <pubDate>Fri, 15 May 2026 05:03:44 +0000</pubDate>
    <item>
      <title>Compliance, Congestion, and Social Equity: Tackling Critical Evacuation Challenges through the Sharing Economy, Joint Choice Modeling, and Regret Minimization</title>
      <link>https://escholarship.org/uc/item/9b51w7h6</link>
      <description>Evacuations are a primary transportation strategy to protect populations from natural and humanmade disasters. Recent evacuations, particularly from hurricanes and wildfires, have exposed three critical evacuation challenges: 1) persistent evacuation non-compliance to mandatory evacuation orders; 2) poor transportation response, leading to heavy congestion, slow evacuation clearance times, and high evacuee risk; and 3) minimal attention in ensuring all populations, especially those most vulnerable, have transportation and shelter. With ongoing climate change and increasing land development and population growth in high-risk areas, these evacuation challenges will only grow in size, frequency, and complexity, further straining transportation response in disaster situations.</description>
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      <pubDate>Mon, 11 Jan 2021 00:00:00 +0000</pubDate>
      <author>
        <name>Wong, Stephen D.</name>
      </author>
    </item>
    <item>
      <title>Electric Two-Wheelers in China: Analysis ofEnvironmental, Safety, and Mobility Impacts</title>
      <link>https://escholarship.org/uc/item/6wh1v7cj</link>
      <description>Electric powered two-wheel bicycles, while extremely popular in China, have been recently banned by policy makers due to safety, congestion, and environmental concerns. This study investigates the tremendous growth of electric two wheel bicycles in China and compares and quantifies their environmental and safety impacts with the impacts of alternative modes of transportation, such as traditional bicycles, public transportation, or personal cars. The research also analyzes the benefits of electric two wheel bicycles, such as increased mobility and access to opportunities. Additionally, the author looks at the impacts of prohibiting the use of electric bicycles. Two case studies are carried out in Kunming and Shanghai, cities that have similar electric bicycle use but with very distinct differences.</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/6wh1v7cj</guid>
      <pubDate>Thu, 26 Mar 2020 00:00:00 +0000</pubDate>
      <author>
        <name>Cherry, Christopher R.</name>
      </author>
    </item>
    <item>
      <title>Life-cycle Environmental Inventory of Passenger Transportation in the United States</title>
      <link>https://escholarship.org/uc/item/7n29n303</link>
      <description>&lt;p&gt;Energy use and emission factors for passenger transportation modes typically ignore the total environmental inventory which includes vehicle non-operational components (e.g., vehicle manufacturing and maintenance), infrastructure components, and fuel production components from design through end-of-life processes. A life-cycle inventory for each mode is necessary to appropriately address and attribute the transportation sector’s energy and emissions impacts to reduction goals instead of allowing tailpipe emissions to act as indicators of total system performance.&lt;/p&gt;&lt;p&gt;The contributions of U.S. passenger transportation modes to national energy and emissions inventories account for roughly 20% of U.S. totals, mostly attributed to gasoline consumption. Furthermore, world consumption of primary energy amounted to 490 EJ in 2005 with the U.S. responsible for 110 EJ, or 21% of the total. This means that passenger transportation in the U.S. accounts for roughly 5% of global primary...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/7n29n303</guid>
      <pubDate>Tue, 18 Nov 2008 00:00:00 +0000</pubDate>
      <author>
        <name>Chester, Mikhail V</name>
      </author>
    </item>
    <item>
      <title>Increasing mobility in cities by controlling overcrowding</title>
      <link>https://escholarship.org/uc/item/5wg9j6z7</link>
      <description>&lt;p&gt;Various theories have been proposed to describe vehicular traffic movement in cities on an aggregate level. They fall short to create a macroscopic model with variable inputs and outputs that could describe a rush hour dynamically. This dissertation work shows that a macroscopic fundamental diagram (MFD) relating production (the product of average flow and network length) and accumulation (the product of average density and network length) exists for neighborhoods of cities in the order of 5-10km2. It also demonstrates that conditional on accumulation large networks behave predictably and independently of their origin-destination tables. These results are based on analysis using simulation of large scale city networks and real data from urban metropolitan areas. The real experiment uses a combination of fixed detectors and floating vehicle probes as sensors. The analysis also reveals a fixed relation between the space-mean flows on the whole network and the trip completion...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/5wg9j6z7</guid>
      <pubDate>Tue, 15 Jul 2008 00:00:00 +0000</pubDate>
      <author>
        <name>Geroliminis, Nikolaos</name>
      </author>
    </item>
    <item>
      <title>Understanding and Mitigating Capacity Reduction at Freeway Bottlenecks</title>
      <link>https://escholarship.org/uc/item/84n3350n</link>
      <description>&lt;p&gt;Two freeway bottlenecks, each with a distinct geometry, have been investigated in an effort to understand traffic conditions leading to capacity losses (i.e., breakdown). One bottleneck is formed by a horizontal curve and the other by a reduction in travel lanes. These bottlenecks are shown to exhibit breakdowns after queues form immediately upstream. The vehicle accumulations that arise near these bottlenecks are shown to be good proxies for the mechanisms that trigger breakdowns. Evidence is provided to show that these losses can be recovered, postponed or even avoided entirely by controlling the accumulations. An algorithm for estimating vehicle accumulations has been developed in this dissertation. This algorithm? estimates are obtained from the counts made by ordinary detectors (e.g. inductive loops) placed in series. The accumulations estimated are those that arise on the intervening (freeway) segments between the detectors. These estimates can be obtained in real-time...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/84n3350n</guid>
      <pubDate>Wed, 26 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Chung, Koohong</name>
      </author>
    </item>
    <item>
      <title>Increasing Freeway Merge Capacity Through On-Ramp Metering</title>
      <link>https://escholarship.org/uc/item/3js9x18d</link>
      <description>&lt;p&gt;This research describes field studies of how on-ramp metering can increase the capacity of freeway merges. Some effects of on-ramp metering have been known for a long time. We have known that on-ramp metering can 1) increase freeway flow and speed upstream of a merge; and 2) reduce system-wide delay by alleviating gridlock-causing queues that have blocked off-ramps. However, past studies have not conclusively shown that on-ramp metering can increase the maximum outflow (capacity) of freeway merges. The experiments conducted in the present study verify that on-ramp metering can increase freeway merge capacities. Detailed traffic data collected from videos for more than 30 rush periods at two merge bottlenecks unveil six major research findings: 1) merge capacity diminishes after merges became active bottlenecks; 2) the mechanism of "capacity drop" has been identified and was found to be reproducible across all days and it both sites. By metering the on-ramp in certain strategic...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/3js9x18d</guid>
      <pubDate>Wed, 26 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Rudjanakanoknad, Jittichai</name>
      </author>
    </item>
    <item>
      <title>The Ethical Challenges and Professional Responses of Travel Demand Forecasters</title>
      <link>https://escholarship.org/uc/item/9c3330tt</link>
      <description>&lt;p&gt;Thirty years ago scholars first presented convincing evidence that local officials use biased travel demand forecasts to justify decisions based on unstated considerations. Since then, a number of researchers have demonstrated convincingly that such forecasts are systematically optimistic-often wildly so-for reasons that cannot be explained solely by the inherent difficulty of predicting the future. Why do modelers-professional engineers and planners who use quantitative techniques to predict future demand for travel and estimate its potential impact on built and proposed transportation facilities-generate biased forecasts and otherwise tolerate the misuse of their work? On initial consideration, it is tempting to surmise that corrupt modelers are responsible for biased forecasting. Indeed, corruption is the most common explanation of forecasting bias and tales of mercenary behavior are all too common in the field. Data from in-depth interviews with twenty-nine travel demand...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/9c3330tt</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Brinkman, Anthony P.</name>
      </author>
    </item>
    <item>
      <title>Spatial Models of Morning Commute Consistent with Realistic Traffic Behavior</title>
      <link>https://escholarship.org/uc/item/6wk3t20s</link>
      <description>&lt;p&gt;Urban planners are increasingly concerned about the sprawling suburban development in metropolitan areas around the world, which they often blame for growing traffic congestion and excessive highway investment needs. This dissertation seeks to shed light on this issue by studying the relationship between morning commute congestion and urban form. The causes and consequences of traffic congestion have been extensively studied in the economics and engineering literatures. Unfortunately, most conclusions have been drawn from very idealized models, which either fail to consider adequately the spatial nature of congestion, by neglecting the effects of physical queues and merging interactions, or overlook dynamic aspects, such as commuters' departure time adaptation during the rush-hour. To better capture the spatial-dynamic nature of morning commute traffc, this dissertation proposes a new analytical framework that explicitly incorporates spatially distributed commuter origins,...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/6wk3t20s</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Lago, Alejandro</name>
      </author>
    </item>
    <item>
      <title>Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps</title>
      <link>https://escholarship.org/uc/item/5d69n86x</link>
      <description>This dissertation presents a vehicle reidentification algorithm for consecutive detector stations on a freeway, whereby a vehicle measurement made at a downstream detector station is matched with the vehicle’s corresponding measurement at an upstream station.&amp;nbsp; The algorithm should improve freeway surveillance by measuring the actual vehicle travel times; these are simply the differences in the times that each (matched) vehicle arrives to the upstream and downstream stations.&amp;nbsp; Thus, it will be possible to quantify conditions between widely spaced detector stations rather than assuming that the local conditions measured at a single station are representative of an extended link between stations.</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/5d69n86x</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Coifman, Benjamin Andre</name>
      </author>
    </item>
    <item>
      <title>Deep Discount Group Pass Programs as Instruments for Increasing Transit Revenue and Ridership</title>
      <link>https://escholarship.org/uc/item/55z3t7fh</link>
      <description>&lt;p&gt;Transit properties in the USA have historically experienced loss of market share and low  levels of farebox recovery. They resorted to service expansion to maximize subsidies.  Experience suggests that: (a) fare increases have not had the desired effect; (b) fare  reductions can boost ridership but can also reduce revenue and increase subsidies. The  challenge lies with the adoption of such strategies as deep discount group pass programs  that can produce more marginal revenue than cost. Deep discount transit pass programs  provide groups of people with unlimited-ride transit passes in exchange for a contractual  payment for or on behalf of pass users by an employer or other organizing body. Although successes of deep discount group pass programs are documented, there is  substantial skepticism toward their wide-scale deployment because transit management  perceives them as "special treatments" or "favors" to participants. Management fears  such perception could raise questions...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/55z3t7fh</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Nuworsoo, Cornelius Kofi</name>
      </author>
    </item>
    <item>
      <title>Welfare Analysis of Informal Transit Services in Brazil and the Effects of Regulation</title>
      <link>https://escholarship.org/uc/item/4z3826fg</link>
      <description>&lt;p&gt;In Brazil, the recent explosion of informal transport activity is having profound effects on formal, regulated transport systems and is the source of great controversy in the urban passenger transportation arena. A variety of policies are being proposed to manage what has been an uncontrolled growth of the sector. This study seeks to understand the advantages these systems have for users who choose them, and how proposed policies will impact these benefits. A corridor in Rio de Janeiro with substantial informal activity was used as a case study and field trips were made to gather basic data and perform travel surveys. Standard measures of welfare changes in a discrete choice framework were used to measure the proposed policies' welfare impacts on users. Eleven candidate policies were evaluated, ranging from the eradication of the informal modes and investment in formal modes, to the legalization and regulation of the informal modes. Benefits were compared with costs to discuss...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/4z3826fg</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Golub, Aaron David</name>
      </author>
    </item>
    <item>
      <title>An Analysis of Port Selection</title>
      <link>https://escholarship.org/uc/item/4911j5zt</link>
      <description>&lt;p&gt;The objective of this research is to study the competition among ports. In particular we study the relation between port characteristics and port market share of maritime traffic. Maritime carriers make two primary decisions that affect ports. In the long-term, they assign vessels to routes. In the short-term, they assign each shipment to a vessel and, with that vessel, a port. In this research, we assume that vessel schedules are fixed and model the assignment of shipments as a function of the attributes that describe each port. For a carrier, some assignments are simpler than other assignments. Each assignment should, however, take into account the same criteria. We begin by examining the scheduling of vessels for its effect on the assignment of shipments. We measure the impact of being a vessel's first or last port of call on a port's market share, and we discuss factors that might influence these schedules. We then examine the assignment to ports for exports of various...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/4911j5zt</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Malchow, Matthew Brian</name>
      </author>
    </item>
    <item>
      <title>Dynamic Stochastic Optimization Models for Air Traffic Flow Management</title>
      <link>https://escholarship.org/uc/item/2vk8w6nc</link>
      <description>&lt;p&gt;This dissertation presents dynamic stochastic optimization models for Air Traffic Flow Management (ATFM) that enables decisions to adapt to new information on evolving capacities of National Airspace System (NAS) resources. Uncertainty is represented by a set of capacity scenarios, each depicting a particular time-varying capacity profile of NAS resources. We use the concept of a scenario tree in which multiple scenarios are possible initially. Scenarios are eliminated as possibilities in a succession of branching points, until the specific scenario that will be realized on a particular day is known. Thus the scenario tree branching provides updated information on evolving scenarios, and allows ATFM decisions to be re-addressed and revised. First, we propose a dynamic stochastic model for a single airport ground holding problem (SAGHP) that can be used for planning Ground Delay Programs (GDPs) when there is uncertainty about future airport arrival capacities. Ground delays...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/2vk8w6nc</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Mukherjee, Avijit</name>
      </author>
    </item>
    <item>
      <title>Optimal Infrastructure System Maintenance and Repair Policies with Random Deterioration Model Parameters</title>
      <link>https://escholarship.org/uc/item/2g6850jc</link>
      <description>&lt;p&gt;Accurate facility deterioration models are important inputs for the selection of Infrastructure Maintenance, Repair, and Reconstruction (MR &amp;amp; R) policies. Deterioration models are developed based on expert judgment or empirical observations. These resources, however, might not be sufficient to accurately represent the performance of infrastructure facilities. Incorrect deterioration models may lead to wrong predictions of infrastructure performance and selection of inappropriate MR &amp;amp; R policies. This results in higher lifecycle costs. Existing infrastructure MR &amp;amp; R decisionmaking models assume that deterioration models represent the real deterioration process of infrastructure facilities. This assumption ignores the uncertainty in empiricallyderived facility deterioration models. This dissertation presents a methodology for selecting MR &amp;amp; R policies for systems of infrastructure facilities under uncertainty in the deterioration model parameters. It is assumed...</description>
      <guid isPermaLink="true">https://escholarship.org/uc/item/2g6850jc</guid>
      <pubDate>Wed, 12 Oct 2005 00:00:00 +0000</pubDate>
      <author>
        <name>Park, Sejung</name>
      </author>
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