published journal article

Factors that Influence Risk Perception of Wildfires: A Systematic Review

ISEE Conference Abstracts

Publication Date

September 17, 2023

Author(s)

Anqi Jiao, Yuliya Danilovna Gluhova, Keira Truong, Suellen Hopfer, Jun Wu

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Abstract

BACKGROUND AND AIM: Risk perception plays an important role in developing response actions to wildfires and can be influenced by a variety of factors. We aimed to conduct a systematic review to compile a comprehensive list of factors that affect the public’s wildfire risk perception. METHOD: We performed an online search for PubMed, ProQuest, and Web of Science databases to identify research published between January 2000 and August 2022. Studies reporting factors related to risk perception based on surveys were included in the review. RESULTS: From 3,466 papers retrieved, 20 studies met our screening criteria, and 16 were conducted in the United States. Several major factors were identified as influential factors for the risk perception of wildfires: sociodemographic characteristics, property ownership, living environment, prior wildfire-related experience, and wildfire-related information resources. The most common factors studied were age, income, education, dense vegetation around the residence, and prior wildfire experience. The associations of age and prior experience with wildfire risk perception were largely inconsistent across papers, with some papers associating older age and having prior wildfire experience with lower risk perception, while others concluded the opposite or no association at all. Other factors, such as owning a property and being able to receive wildfire-related information from different resources were associated with higher risk perception in most of the studies. CONCLUSIONS: To our knowledge, this is the first review to summarize associations of factors with wildfire-related risk perception. Future studies can provide further investigations and theories to explain inconsistent results for certain variables.

Suggested Citation

Anqi Jiao, Yuliya Danilovna Gluhova, Keira Truong, Suellen Hopfer and Jun Wu (2023) “Factors that Influence Risk Perception of Wildfires: A Systematic Review”, ISEE Conference Abstracts, 2023(1). Available at: 10.1289/isee.2023.EP-156.

Phd Dissertation

Employee withdrawal behavior : expanding the concept

Publication Date

January 1, 1985

Author(s)

Michael Spendolini

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Suggested Citation

Michael J Spendolini (1985) Employee withdrawal behavior : expanding the concept. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991001435469704701.

conference paper

CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion

2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)

Publication Date

August 1, 2023

Author(s)

Yanyan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Al Faruque, Sitao Huang

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Abstract

Autonomous systems (AS) are systems that can adapt and change their behaviors in response to unanticipated events and include systems such as aerial drones, autonomous vehicles, and ground/aquatic robots. AS require a wide array of sensors, deep learning models, and powerful hardware platforms to perceive the environment and safely operate in real-time. However, in many contexts, some sensing modalities negatively impact perception while increasing the system’s overall energy consumption. Since AS are often energy-constrained edge devices, energy-efficient sensor fusion methods have been proposed. However, existing methods either fail to adapt to changing scenario conditions or to optimize system-wide energy efficiency. We propose CARMA, a context-aware sensor fusion approach that uses context to dynamically reconfigure the computation flow on a field-programmable gate array (FPGA) at runtime. By clock gating unused sensors and model sub-components, CARMA significantly reduces the energy used by a multi-sensory object detector without compromising performance. We use a deep learning processor unit (DPU) based reconfiguration approach to minimize the latency of model reconfiguration. We evaluate multiple context identification strategies, propose a novel system-wide energy-performance joint optimization, and evaluate scenario-specific perception performance. Across challenging real-world sensing contexts, CARMA outperforms state-of-the-art methods with up to 1.3× speedup and 73% lower energy consumption.

Suggested Citation

Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque and Sitao Huang (2023) “CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion”, in 2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), pp. 1–6. Available at: 10.1109/ISLPED58423.2023.10244517.

conference paper

A software-defined receiver architecture for cellular CDMA-based navigation

2016 IEEE/ION position, location and navigation symposium (PLANS)

Publication Date

April 1, 2016

Author(s)

Joe Khalife, Kimia Shamaei, Zaher Kassas

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Suggested Citation

Joe Khalife, Kimia Shamaei and Zaher M. Kassas (2016) “A software-defined receiver architecture for cellular CDMA-based navigation”, in 2016 IEEE/ION position, location and navigation symposium (PLANS). IEEE, pp. 816–826. Available at: 10.1109/plans.2016.7479777.

conference paper

Cycle basis distributed ADMM solution for optimal network flow problem over biconnected graphs

2016 54th annual allerton conference on communication, control, and computing (allerton)

Publication Date

September 1, 2016

Author(s)

Reza Asadi, Solmaz Kia, Amelia Regan

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Suggested Citation

Reza Asadi, Solmaz S. Kia and Amelia Regan (2016) “Cycle basis distributed ADMM solution for optimal network flow problem over biconnected graphs”, in 2016 54th annual allerton conference on communication, control, and computing (allerton). IEEE, pp. 717–724. Available at: 10.1109/allerton.2016.7852302.

published journal article

Dissolving Districts: Did Property Values Fall When California Terminated Its Redevelopment Agencies?

Economic Development Quarterly

Publication Date

August 25, 2024

Author(s)

Huixin (Echo) Zheng, Nicholas Marantz, Jae Hong Kim, John R. Hipp

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Abstract

California pioneered the use of tax increment finance (TIF) to promote redevelopment, but in 2012 all redevelopment agencies in the state were simultaneously (and unexpectedly) dissolved, essentially eliminating TIF-supported redevelopment in California. This paper uses hedonic methods to analyze changes in residential property values associated with the dissolution of TIF districts in five cities in northern Orange County. If TIF is necessary for (re)development in the TIF districts, then the unexpected elimination of TIF-funded redevelopment should have reduced property values. The authors find that, within the study area, the elimination of TIF was not associated with decreases in residential values within TIF districts, and quality-adjusted home prices in and near former TIF districts continued to grow at a rate at least comparable to citywide rates in the aftermath of the dissolution. These findings raise the concern that TIF may function as a tool for revenue capture before the TIF districts reach the anticipated expiration dates. In the absence of significant regulatory safeguards, TIF may be used to capture revenue from overlapping governments, instead of serving as an engine of economic development.

Suggested Citation

Huixin Zheng, Nicholas Marantz, Jae Hong Kim and John R. Hipp (2024) “Dissolving Districts: Did Property Values Fall When California Terminated Its Redevelopment Agencies?”, Economic Development Quarterly, 38(4), p. 08912424241271259. Available at: 10.1177/08912424241271259.

Phd Dissertation

Automatic discovery and diagnosis of security and safety defects in autonomous driving software

Publication Date

January 1, 2025

Author(s)

Ziwen Wan

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Abstract

The technology behind Autonomous Driving (AD) is rapidly evolving, with companies like Waymo and Baidu already offering commercial robotaxi services in San Francisco and Wuhan, respectively, and Tesla planning its own service. Given the critical safety implications of AD systems, concerns about their reliability and security are slowing widespread adoption. To address these issues, it is essential to understand the boundary of how well AD vehicles handle unexpected real-world scenarios and how secure they are against potential attacks. Improving software testing and analysis techniques can enhance the safety and security of AD vehicles, accelerating their deployment. My dissertation focuses on enhancing testing and debugging in the AD software development life cycle through innovative automated tools. First, I analyzed the security of the AD software planning component and identified a new type of vulnerability: semantic DoS vulnerabilities, which can be exploited by real-world physical threats and have severe consequences. Second, I developed PlanFuzz, a new modular testing tool designed to efficiently discover zero-day semantic DoS vulnerabilities in the planning component. Unlike existing designs that rely on time-consuming and potentially buggy simulators, our novel approach directly connects fuzzing, the proven successful software testing techniques, with AD software testing for planning components. This significantly enhances the ability to discover new vulnerabilities within a realistic time frame. We evaluate PlanFuzz on 3 planning implementations from practical open-source AD systems, and find that it can effectively discover 9 previously-unknown semantic DoS vulnerabilities without false positives. Finally, I introduced an automated cause analysis tool for the AD software stack. This tool, which follows testing, efficiently and automatically identifies the root causes of discovered issues, enabling timely fixes for bugs and vulnerabilities. >98.5% of the manual efforts can be saved with such automated approach.

Suggested Citation

Ziwen Wan (2025) Automatic discovery and diagnosis of security and safety defects in autonomous driving software. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991035687103704701.

published journal article

Going beyond the flood insurance rate map: Insights from flood hazard map co-production

Nat. Hazards Earth Syst. Sci.

Publication Date

April 1, 2018

Author(s)

Adam Luke, Brett F. Sanders, Kristen A. Goodrich, David L. Feldman, Danielle Boudreau, Ana Eguiarte, Kimberly Serrano, Abigail Reyes, Jochen E. Schubert, Amir AghaKouchak, Victoria Basolo, Richard Matthew

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Suggested Citation

Adam Luke, Brett F. Sanders, Kristen A. Goodrich, David L. Feldman, Danielle Boudreau, Ana Eguiarte, Kimberly Serrano, Abigail Reyes, Jochen E. Schubert, Amir AghaKouchak, Victoria Basolo and Richard A. Matthew (2018) “Going beyond the flood insurance rate map: Insights from flood hazard map co-production”, Nat. Hazards Earth Syst. Sci., 18(4), pp. 1097–1120. Available at: 10.5194/nhess-18-1097-2018.

book/book chapter

Framing urban systems and planning concerns as a multi-level problem

Publication Date

January 1, 2011

Author(s)

Jae Hong Kim, G.J.D. Hewings

Suggested Citation

J.H. Kim and G.J.D. Hewings (2011) “Framing urban systems and planning concerns as a multi-level problem”, in N. Brooks, K. Donaghyand G. Knaap (eds.) The oxford handbook of urban economics and planning. Oxford University Press, pp. 674–700.

published journal article

Development of an intelligent system for automated pavement evaluation

Transportation Research Record

Publication Date

January 1, 1990

Author(s)

Stephen Ritchie, Mohamed Kaseko, B. Bavarian

Suggested Citation

S.G. Ritchie, M. Kaseko and B. Bavarian (1990) “Development of an intelligent system for automated pavement evaluation”, Transportation Research Record, 1311, pp. 112–119.