working paper

A Framework for Evaluation of the Union-Management Relationship in Government

Publication Date

November 1, 1976

Author(s)

James Perry, Carder W. Hunt

Working Paper

UCI-ITS-WP-76-3

Areas of Expertise

Abstract

In the present study, a framework is developed for evaluating the union management relationship in government based broadly on the concept of organizational effectiveness. A number of previous evaluative studies of the union management relationship are first examined to demonstrate some of the inadequacies of alternative approaches as well as the differences between these approaches and the framework we develop. The conceptual rationale for using organizational effectiveness as the yardstick against which to evaluate the union-management relationship is then discussed. We conclude with a discussion of the utility of the framework for evaluating union-management relationships in government.The impact of the union-management relationship on government effectiveness cannot be underestimated. Newland (1971) argues that “collective bargaining must serve as one of several vehicles for creative change…if it is to be compatible with future public interests” (p. i). A variety of assessments indicate, however, that collective bargaining in government has been, rather than a vehicle for creative change, an instrument for achieving partisan interests (Doherty, 1971; Nigro, 1972; Perry & Levine, 1976; Shaw & Clark, 1972). As long as public managers pit public employees against citizens or public employee unions pit the public against management, labor-management relations in government will have decidedly negative impacts on the parties, the public, and the political system. Methods are needed for re-integrating management, employee, and citizen interests. The evaluative framework we propose highlights the multiplicity of interests that must be balanced through the union-management relationship. It also identifies explicit criteria for which all the parties in public sector bargaining should be held accountable.

Suggested Citation
James L. Perry and Carder W. Hunt (1976) A Framework for Evaluation of the Union-Management Relationship in Government. Working Paper UCI-ITS-WP-76-3. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9129w3sg.

published journal article

On Time-Dependent Trip Distance Distribution with For-Hire Vehicle Trips in Chicago

Transportation Research Record

Publication Date

November 1, 2021

Abstract

For transportation system analysis in a new space dimension with respect to individual trips’ remaining distances, vehicle trips demand has two main components: the departure time and the trip distance. In particular, the trip distance distribution (TDD) is a direct input to the bathtub model in the new space dimension, and is a very important variable to consider in many applications, such as the development of distance-based congestion pricing strategies or mileage tax. For a good understanding of the demand pattern, both the distribution of trip initiation and trip distance should be calibrated from real data. In this paper, it is assumed that the demand pattern can be described by the joint distribution of trip distance and departure time. In other words, TDD is assumed to be time-dependent, and a calibration and validation methodology of the joint probability is proposed, based on log-likelihood maximization and the Kolmogorov–Smirnov test. The calibration method is applied to empirical for-hire vehicle trips in Chicago, and it is concluded that TDD varies more within a day than across weekdays. The hypothesis that TDD follows a negative exponential, log-normal, or Gamma distribution is rejected. However, the best fit is systematically observed for the time-dependent log-normal probability density function. In the future, other trip distributions should be considered and also non-parametric probability density estimation should be explored for a better understanding of the demand pattern.

Suggested Citation
Irene Martínez and Wen-Long Jin (2021) “On Time-Dependent Trip Distance Distribution with For-Hire Vehicle Trips in Chicago”, Transportation Research Record, 2675(11), pp. 915–934. Available at: 10.1177/03611981211021552.

conference paper

A Self-Learning Framework for Vehicle Classification System through the Integration of Advanced Inductive Loops and Multi-array LiDAR Sensors

101st Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2022
Suggested Citation
Yiqiao Li, Andre Tok and Stephen Ritchie (2022) “A Self-Learning Framework for Vehicle Classification System through the Integration of Advanced Inductive Loops and Multi-array LiDAR Sensors”. 101st Annual Meeting of the Transportation Research Board.

conference paper

Eco-driving algorithm with a moving bottleneck on a single lane

Proceedings of the 99th annual meeting of the transportation research board

Publication Date

January 1, 2020
Suggested Citation
Pengyuan Sun, Dingtong Yang and Wenlong Jin (2020) “Eco-driving algorithm with a moving bottleneck on a single lane”, in Proceedings of the 99th annual meeting of the transportation research board.

Preprint Journal Article

Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transport Planning

Abstract

Strategic Long-Range Transportation Planning (SLRTP) is pivotal in shaping prosperous, sustainable, and resilient urban futures. Existing SLRTP decision support tools predominantly serve forecasting and evaluative functions, leaving a gap in directly recommending optimal planning decisions. To bridge this gap, we propose an Interpretable State-Space Model (ISSM) that considers the dynamic interactions between transportation infrastructure and the broader urban system. The ISSM directly facilitates the development of optimal controllers and reinforcement learning (RL) agents for optimizing infrastructure investments and urban policies while still allowing human-user comprehension. We carefully examine the mathematical properties of the ISSM; specifically, we present the conditions under which our proposed ISSM is Markovian, and a unique and stable solution exists. Then, we apply an ISSM instance to a case study of the San Diego region of California, where a partially observable ISSM represents the urban environment. We also propose and train a Deep RL agent using the ISSM instance representing San Diego. The results show that the proposed ISSM approach, along with the well-trained RL agent, capture the impacts of coordinating the timing of infrastructure investments, environmental impact fees for new land development, and congestion pricing fees. The results also show that the proposed approach facilitates the development of prescriptive capabilities in SLRTP to foster economic growth and limit induced vehicle travel. We view the proposed ISSM approach as a substantial contribution that supports the use of artificial intelligence in urban planning, a domain where planning agencies need rigorous, interpretable models to justify their actions.

Suggested Citation
Jiangbo (Gabe) Yu and Michael Hyland (2024) “Interpretable State-Space Model of Urban Dynamics for Human-Machine Collaborative Transport Planning”. Rochester, NY: SSRN. Available at: 10.2139/ssrn.4772858.

conference paper

A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems

ISOC Symposium on Vehicle Security and Privacy (VehicleSec)

Publication Date

January 1, 2024

Author(s)

Suggested Citation
Takami Sato, Ningfei Wang, Yueqiang Cheng and Qi Alfred Chen (2024) “A Cross-Verification Approach with Publicly Available Map for Detecting Off-Road Attacks against Lane Detection Systems”, in ISOC Symposium on Vehicle Security and Privacy (VehicleSec). ISOC. Available at: https://par.nsf.gov/servlets/purl/10492114 (Accessed: August 21, 2025).

published journal article

Persistent racial diversity in neighbourhoods across the United States: Where does it occur?

Population, Space and Place

Publication Date

January 1, 2024

Author(s)

John R. Hipp, Jae Hong Kim

Abstract

While there is a long history of racial change in the United States, and how this plays out within neighbourhoods, a key recurring question is whether some neighbourhoods are able to achieve and maintain racial diversity, or whether they simply transition to dominance by a new racial group. We test and find evidence of 1631 neighbourhoods across the United States from 1980 to 2020 that exhibit persistent racial diversity (PRD), and assess where this PRD occurs. Our analysis shows that PRD neighbourhoods (PRDNs) are likely to be present in counties with more economic opportunities–that is, counties with higher socioeconomic status (SES). PRDNs themselves, however, tend to be relatively lower SES neighbourhoods within relatively higher SES counties, suggesting that affordable locations surrounded by more economic opportunities may have served as an environment in which diversity can persist over a long period of time in the United States.

Suggested Citation
John R. Hipp and Jae Hong Kim (2024) “Persistent racial diversity in neighbourhoods across the United States: Where does it occur?”, Population, Space and Place, 30(7), p. e2779. Available at: 10.1002/psp.2779.

MS Thesis

Impacts of plug-in hybrid vehicles and grid generation mix on emissions in the South Coast air basin / Ghazal Razeghi.

Publication Date

January 1, 2010

Author(s)

Abstract

The transportation sector is the number one consumer of energy and the principal source of CO2 greenhouse gas emissions in the world. Together with electricity generation, the two sectors are responsible for more than half of greenhouse gas (GHG) emissions. The introduction of plug-in hybrid vehicles (PHEVs) will impact both sectors. Tail-pipe emissions of GHG and criteria pollutants will be transferred to electricity generating units (EGU). To study the net impact of PHEVs on emissions, a grid dispatch model is developed and applied in this research for various PHEV penetrations, mix of EGUs, and charging scenarios. The state of California South Coast Air Basin (SoCAB) is selected as the region of focus. The Western electrical grid serving the SoCAB is modeled with both spatial and temporal resolution at the individual power plant level. Electricity load is calculated and projected for future years, and the temporal electricity generation of each power plant within the SoCAB is modeled based on historical data and knowledge of electricity generation and dispatch. Due to the efficiency and pollutant controls governing the performance of the Western Grid, PHEV deployment results in a reduction in GHGs and an improvement in air quality. The extent of improvement depends on the time of day and charging scenario. In addition, charging PHEVs using wind energy that would otherwise be curtailed can result in a substantial emissions reduction. Smart control will be required to manage PHEV charging.

Suggested Citation
Ghazal. Razeghi (2010) Impacts of plug-in hybrid vehicles and grid generation mix on emissions in the South Coast air basin / Ghazal Razeghi.. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991028061989704701.

research report

Forecasting network traffic for small and medium-sized communities using path flow estimator

Publication Date

January 1, 2006

Author(s)

Suggested Citation
Wilfred W Recker, Piya Chootinan, Anthony Chen and Ming S Lee (2006) Forecasting network traffic for small and medium-sized communities using path flow estimator.