book/book chapter
Road Work: A New Highway Pricing and Investment Policy
Publication Date
January 1, 1989
Author(s)
Kenneth Small, Clifford Winston, Carol A Evans
Area of Expertise: Unspecified
published journal article
A cross-sectional survey of factors related to inpatient assault of staff in a forensic psychiatric hospital
Journal of advanced nursing
Publication Date
December 1, 2014
Author(s)
Erin L. Kelly, Andrew M. Subica, Anthony Fulginiti, John S. Brekke, Raymond Novaco
Suggested Citation
Erin L. Kelly, Andrew M. Subica, Anthony Fulginiti, John S. Brekke and Raymond W. Novaco (2014) “A cross-sectional survey of factors related to inpatient assault of staff in a forensic psychiatric hospital”, Journal of advanced nursing, 71(5), pp. 1110–1122. Available at: 10.1111/jan.12609.Preprint Journal Article
Tackling the Crowdsourced Delivery Problem at Scale through a Set-Partitioning Formulation and Novel Decomposition Heuristic
Publication Date
March 10, 2022
Author(s)
Abstract
This paper presents a set-partitioning formulation and a novel decomposition heuristic (D-H) solution algorithm to solve large-scale instances of the urban crowdsourced shared-trip package delivery problem. The D-H begins by dividing the packages between shared personal vehicles (SPVs) and dedicated vehicles (DVs). For package-assignment to SPVs, this paper enumerates the set of routes each SPV can traverse and constructs a package-SPV route assignment problem. For package-assignment to DVs and routing, the paper first obtains DV routes by solving a conventional vehicle routing problem and then seeks potential solution improvements by switching packages from SPVs to DVs. The switching process is cost driven. The D-H significantly outperforms a commercial solver in terms of computational efficiency, while obtaining near-optimal solutions for small problem instances. This paper presents a city-scale case study to analyze the important service design factors that impact the efficiency of crowdsourced shared-trip delivery. The paper further analyzes the impact of three important service design factors on system performance, namely (i) the number of participating SPVs, (ii) the maximum detour willingness of SPVs, and (iii) the depot locations. The results and findings provide meaningful insights for industry practice, while the algorithms illustrate promise for large real-world systems.
Suggested Citation
Dingtong Yang, Michael F. Hyland and R. Jayakrishnan (2022) “Tackling the Crowdsourced Delivery Problem at Scale through a Set-Partitioning Formulation and Novel Decomposition Heuristic”. arXiv. Available at: 10.48550/arXiv.2203.14719. published journal article
NONPROFIT LED NEOLIBERAL GROWTH MACHINES AND THE PRIVATIZATION OF COMMUNITY ENGAGEMENT: the obama presidential center on chicago’s south side
International Journal of Urban and Regional Research
Publication Date
November 1, 2025
Author(s)
Virginia Parks, William Sites, Tadeo Weiner Davis
Abstract
Abstract We analyze the development of the Obama Presidential Center in Chicago as the product of a new kind of urban growth machine—a nonprofit‐led neoliberal growth machine. Building on studies of nonprofit‐led urban development as well as research on CBA‐driven opposition, we reconstruct how an Obama Foundation‐led growth machine was able to dominate pre‐development planning, privatize public parkland and mount its own private community engagement process in ways that stymied powerful community opposition. We contend that the political resources of nonprofit foundations, especially their ability to claim a mantle of public authority and legitimacy, equip them to bypass genuinely public institutional processes and to repel even strong resistance from community actors. We argue that the array of soft political resources marshaled by the Obama Foundation—its perceived neutrality, collaborative reputation and public/private ambiguity—lend valuable assets to the task of bending participatory processes toward the political legitimation of controversial development projects. Because nonprofits are uniquely situated to deploy these political resources, the case of the OPC portends an expanding repertoire of action for growth machine actors, including the privatization of community engagement.
Suggested Citation
Virginia Parks, William Sites and Tadeo Weiner Davis (2025) “NONPROFIT LED NEOLIBERAL GROWTH MACHINES AND THE PRIVATIZATION OF COMMUNITY ENGAGEMENT: the obama presidential center on chicago’s south side”, International Journal of Urban and Regional Research, 49(6), pp. 1417–1436. Available at: 10.1111/1468-2427.13350. conference paper
Metrics for Quantifying Shareability in Transportation Networks: The Maximum Network Flow Overlap Problem
102nd Transportation Research Board Annual Meeting 2023
Publication Date
January 1, 2023
Author(s)
Suggested Citation
Navjyoth Sarma and Michael Hyland (2023) “Metrics for Quantifying Shareability in Transportation Networks: The Maximum Network Flow Overlap Problem”. 102nd Transportation Research Board Annual Meeting 2023. published journal article
How concentrated disadvantage moderates the built environment and crime relationship on street segments in Los Angeles
Criminology & Criminal Justice
Publication Date
November 14, 2022
Author(s)
John R Hipp, Sugie Lee, Dong Hwan Ki, Jae Hong Kim
Abstract
Criminological theories have posited that the built environment impacts where crime occurs; however, measuring the built environment is difficult. Furthermore, it is uncertain whether the built environment differentially impacts crime in high-disadvantage neighborhoods. This study extracts features of the built environment from Google Street View images with a machine learning semantic segmentation strategy to create measures of fences, walls, buildings, and greenspace for over 66,000 street segments in Los Angeles. Results indicate that the presence of more buildings on a segment was associated with higher crime rates and had a particularly strong positive relationship with robbery and motor vehicle theft in low-disadvantage neighborhoods. Notably, fences and walls exhibited different relationships with crime. Walls, which do not allow visibility, were strongly negatively related to crime, particularly for robbery and burglary in high-disadvantage neighborhoods. Fences, which allow visibility, were associated with fewer robberies and larcenies, but more burglaries and aggravated assaults. Fences only exhibited a negative relationship with violent crime when they were located in low-disadvantage neighborhoods. The results highlight the importance of accounting for the built environment and the surrounding level of disadvantage when exploring the micro-location of crime.
Suggested Citation
John R Hipp, Sugie Lee, Dong Hwan Ki and Jae Hong Kim (2022) “How concentrated disadvantage moderates the built environment and crime relationship on street segments in Los Angeles”, Criminology & Criminal Justice, p. 17488958221132764. Available at: 10.1177/17488958221132764. conference paper
Best Frennemies? A Characterization of TNC and Transit Users Based on the 2017 NHTS
100th Transportation Research Board (TRB) Annual Meeting
Publication Date
January 1, 2021
Author(s)
Suggested Citation
Farzana Khatun and Jean-Daniel Saphores (2021) “Best Frennemies? A Characterization of TNC and Transit Users Based on the 2017 NHTS”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC. published journal article
Impacts of highway congestion on freight operations: Perceptions of trucking industry managers
Transportation Research Part A: Policy and Practice
Publication Date
August 1, 2001
Author(s)
Abstract
To better understand how road congestion adversely affects trucking operations, we surveyed approximately 1200 managers of all types of trucking companies operating in California. More than 80% of these managers consider traffic congestion on freeways and surface streets to be either a “somewhat serious” or “critically serious” problem for their business. A structural equations model (SEM) is estimated on these data to determine how five aspects of the congestion problem differ across sectors of the trucking industry. The five aspects were slow average speeds, unreliable travel times, increased driver frustration and morale, higher fuel and maintenance costs, and higher costs of accidents and insurance. The model also simultaneously estimates how these five aspects combine to predict the perceived overall magnitude of the problem. Overall, congestion is perceived to be a more serious problem by managers of trucking companies engaged in intermodal operations, particularly private and for-hire trucking companies serving airports and private companies serving rail terminals. Companies specializing in refrigerated transport also perceive congestion to be a more serious overall problem, as do private companies engaged in LTL operations. The most problematic aspect of congestion is unreliable travel times, followed by driver frustration and morale, then by slow average speeds. Unreliable travel times are a significantly more serious problem for intermodal air operations. Driver frustration and morale attributable to congestion is perceived to be more of a problem by managers of long-haul carriers and tanker operations. Slow average speeds are also more of a concern for airport and refrigerated operations. (C) 2001 Elsevier Science Ltd. All rights reserved.
Suggested Citation
Thomas F. Golob and Amelia C. Regan (2001) “Impacts of highway congestion on freight operations: Perceptions of trucking industry managers”, Transportation Research Part A: Policy and Practice, 35(7), pp. 577–599. Available at: 10.1016/s0965-8564(00)00008-2. published journal article
AdNoC: Runtime adaptive network-on-chip architecture
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Publication Date
February 1, 2012
Author(s)
Mohammad Al Faruque, Thomas Ebi, J org Henkel
Suggested Citation
Mohammad Abdullah Al Faruque, Thomas Ebi and J org Henkel (2012) “AdNoC: Runtime adaptive network-on-chip architecture”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 20(2), pp. 257–269. Available at: 10.1109/tvlsi.2010.2094215. research report
Effects of Tax Reform on the Demand for Owner-Occupied Housing : A Microsimulation Approach
Publication Date
January 1, 1984
Author(s)
David Brownstone, Peter Englund, Mats Persson
Report Number
03478769 (ISSN)
Abstract
The paper analyzes the effects on the demand for owner-occupied housing that are likely to result from the Swedish 1983-85 tax reform. This is done by means of a microsimulation model which takes into account the dichotomous nature of the demand for housing: the consumers choose the mode of tenure (owning versus renting) as well as the quantity of housing conditional on the choice of the mode of tenure. The tax reform consists of a general reduction of marginal tax rates (i.e. an increase in disposable income) together with limitations in the deductibility of mortgage interests. The simulations show that this will cause an increase in home-ownership in the sense that more households will demand owner-occupied housing. At the same time, however, the households will demand smaller houses in the average, and thus aggregate demand for small and medium-sized units will increase while demand for large units will fall sharply.