Phd Dissertation

Land use regulations and housing supply: Impacts on local, state, and U.S. markets

Publication Date

January 1, 2009

Author(s)

Abstract

When a slumping housing market pushes a national economy towards recession, policy makers, investors and homeowners tend to focus their attention on federal regulation of housing finance. However, they have all but ignored the impacts of local and state regulations on the production of housing itself. This is surprising, since recent evidence suggests local and state land use regulations may play an important role in housing market efficiency (Mayer and Soerville, 2000; Glaser, Gyourko, and Saks, 2005). Furthermore, scholars have failed to reconcile opposing theories of land use regulations and housing supply, so consistent definitions of regulation and efficiency remain elusive. This dissertation will help reconcile the opposing theories of urban economics, political economy, and regional planning with the question: How do land use regulations effect housing markets? Do their impacts vary by scale? While these theoretical models yield radically different answers, most conclude that other regulatory approaches result in housing market inefficiencies. But with several perspectives and viewpoints, what are the fundamentals of various models? How well do models and theories portray real world markets? Which models should policy makers follow? This dissertation uses a three-paper approach to address these questions. The first paper, an integrative analysis, intimately examines the idea that land use regulations may have played a role in the emergence of the 2007 recession. Results financial deregulation and decentralization of land use in the 1980s set the stage for a large housing bubble and subsequent crash. Second, an empirical analysis examines local government regulation, competition, and housing construction in Southern California. Findings indicate that as cities permit more multifamily units, their neighbors permit less, suggesting that local regulations and intercity competition may inefficiently restrict certain housing types. The third paper analyzes the impacts of state regulation on housing growth in Maryland, and finds that it may increase multifamily housing in urban areas, but decrease in suburban and exurban areas. This suggests that cities in non-urban areas might view state regulatory incentives as a source of inefficient growth or public expenditures, and that “smart growth” programs have limited effectiveness.

Suggested Citation
Ralph Boone McLaughlin (2009) Land use regulations and housing supply: Impacts on local, state, and U.S. markets. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991027839339704701 (Accessed: October 14, 2023).

published journal article

The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey

Research in Transportation Economics

Suggested Citation
Harya S. Dillon, Jean-Daniel Saphores and Marlon G. Boarnet (2015) “The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey”, Research in Transportation Economics, 52, pp. 23–33. Available at: 10.1016/j.retrec.2015.10.006.

working paper

Is the Journey to Work Explained by Urban Structure?

Publication Date

September 5, 1991

Associated Project

Working Paper

UCI-ITS-WP-91-1

Areas of Expertise

Abstract

The length of the urban work trip, and especially how it is influenced by land-use patterns, have become critical issues for urban economic theory and for public policy toward transportation and land use. Many economic models and policy analyses hinge on the belief that land-use patterns affect commuting importantly; yet the empirical evidence for this belief is weak. In this paper, we use disaggregate data for a very large urban region to examine this key relationship anew.

Suggested Citation
Genevieve Giuliano and Kenneth A. Small (1991) Is the Journey to Work Explained by Urban Structure?. Working Paper UCI-ITS-WP-91-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8q0560pw.

conference paper

Response of light-duty vehicle travel and fuel consumption to fuel costs

Proceedings of the kuhmo-nectar conference on transport economics, valencia, spain

Publication Date

July 1, 2020
Suggested Citation
D. Brownstone and Kent Hymel (2020) “Response of light-duty vehicle travel and fuel consumption to fuel costs”, in Proceedings of the kuhmo-nectar conference on transport economics, valencia, spain.

Phd Dissertation

Assessment of Constant Volume Sampler Based Test Procedure and Charging Scenarios Based Energy Impact of Plug-in Hybrid Electric Vehicles

Publication Date

June 30, 2014

Author(s)

Abstract

The advent of plug-in hybrid electric vehicles (PHEVs) introduces a new vehicle paradigm that consumes both gasoline and electricity. The new concept presents new questions. In particular, (1) what modifications need to be made for test procedures in terms of the emissions and fuel economy measurements for individual vehicles, and (2) what methodology needs to be established to evaluate the energy and emission impacts of a PHEV fleet? For the test procedure, the emission testing has been done by using the continuous sampling method for continuous diluents, the smooth approach orifice (SAO) measurement for ambient air flow, and fuel flow meter (FFM) measurement for fuel consumption in addition to the industry standard constant volume sampler (CVS) system, which faces challenges for PHEVs. Results show that the current CVS dilution factor (DF) exhibits an error resulting in higher emission mass calculation; an alternative procedure can be proposed for the charge depleting cycle to eliminate the overdilution; the CVS system has an error resulting from exhaust left in the tailpipe and CVS sampling line. For the evaluation of the energy impact of PHEVs, the South Coast Air Basin of California (SoCAB) was selected as an example by considering different charging scenarios consisting of different charging powers, locations and time. Results show that petroleum reduction is significant; the all-electric ability is crucial to cold start emission reduction; the benefit of higher power charging is small; delayed and average charging are better than immediate charging for home; and non-home charging increases peak grid load.

Suggested Citation
LI ZHANG (2014) Assessment of Constant Volume Sampler Based Test Procedure and Charging Scenarios Based Energy Impact of Plug-in Hybrid Electric Vehicles. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991012357009704701.

Preprint Journal Article

Electric Vehicles in Urban Delivery Fleets: How Far Can They Go?

Abstract

The goal of this study is to provide insights into the expected role of medium-duty electric vehicles (EVs) in urban delivery fleets and the effectiveness of EV subsidies on EV fleet penetration and tailpipe emissions, in the coming decades. To meet this goal, we propose a modeling framework that determines the minimum-cost fleet size and mix (of EVs and conventional vehicles) and vehicle routes for a profit-maximizing delivery company. Second, we conduct extensive analyses using this modeling framework and Southern California network data; we vary the EV driving range, per-mile cost of EVs, demand rate, service region size, and driver working hours. We find that the optimal fleet mix nearly always includes EVs and conventional vehicles. Moreover, we find that EV subsidies have limited effectiveness with current EV batteries and service regions designed around conventional vehicles. Hence, improving EV battery technology is critical to electrifying urban delivery fleets.

Suggested Citation
Dingtong Yang and Michael Hyland (2023) “Electric Vehicles in Urban Delivery Fleets: How Far Can They Go?”. Rochester, NY: SSRN. Available at: 10.2139/ssrn.4569874.

published journal article

Stable local dynamics for day-to-day departure time choice

Transportation Research Part B: Methodological

Publication Date

July 1, 2021

Author(s)

Abstract

Existing dynamical systems for day-to-day departure time choice are either unstable, or stable but assuming drivers to possess complete information and make decisions on both arrival and departure times. In this paper, we present a new dynamical system with local shifting of departure times, such that a driver only defers or advances his/her departure time to a time interval later or earlier with lower costs. We establish the asymmetrical upper bounds of the deferral and advance coefficients for the discrete model to be well-defined. We then derive the continuous version as a kinematic wave model and present some examples of symmetrical deferral and advance coefficients. We demonstrate that the stationary state of the dynamical system is the same as the user equilibrium, and the user equilibrium is proved with Lyapunov’s second method to be stable for the symmetrical deferral and advance coefficients. With numerical examples, we verify the analytical results and examine the model’s sensitivity to different factors with different combinations of heuristic asymmetrical coefficients and theoretically stable symmetrical coefficients. Both analytical and numerical results confirm that the new dynamical system is asymptotically stable in a stability region. This study provides some guidelines on how to derive new day-to-day dynamical system models of departure time user equilibrium. Such a dynamical system can potentially be applied to solve the general dynamic traffic assignment problem in the future.

Suggested Citation
Wen-Long Jin (2021) “Stable local dynamics for day-to-day departure time choice”, Transportation Research Part B: Methodological, 149, pp. 463–479. Available at: 10.1016/j.trb.2021.05.013.

MS Thesis

Investigation and implementation of a gradient projection algorithm for the traffic assignment problem

Publication Date

January 1, 1994
Suggested Citation
Subodh Sudhir. Rajadhyaksha (1994) Investigation and implementation of a gradient projection algorithm for the traffic assignment problem. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991034343319704701.

conference paper

Commercial vehicle classification using vehicle signature data

Proceedings of the 88th annual meeting of the transportation research board (DVD), washington D.C.

Suggested Citation
H. Liu, S. Jeng, A. Tok and S.G. Ritchie (2009) “Commercial vehicle classification using vehicle signature data”, in Proceedings of the 88th annual meeting of the transportation research board (DVD), washington D.C.. Available at: https://escholarship.org/uc/item/3bc653j7.

research report

Rail Transit Ridership Changes in COVID-19: Lessons from Station Area Characteristics

Abstract

The COVID-19 pandemic has had a significant impact on public transit ridership in the United States, especially for rail transit. Land use, development density, and the pedestrian environment are strongly associated with station-level transit ridership. This study examines how these characteristics affect transit ridership pre- and post-COVID and how they differ across station types based on longitudinal data for 242 rail stations belonging to Bay Area Rapid Transit, San Diego Metropolitan Transit System, Sacramento Regional Transit, and LA Metro between 2019 and 2021. We found overall a 72% decrease in station-level ridership, but changes were not uniform. Station areas with a higher number of low-income workers and more retail or entertainment jobs tend to have lower ridership declines, while areas with a large number of high-income workers, high-wage jobs, and higher job accessibility by transit had more ridership losses. When comparing station area ridership and activity changes based on mobile phone user data, ridership declined more drastically than activity across all four rail systems, which implies that rail transit riders switched to other modes of transportation when accessing the station areas. Given these findings, it is likely that rail transit services oriented toward commute travel, especially core station areas with jobs for higher income workers, will continue to have an uneven recovery, posing critical implications for transit resilience planning and equity in the post-pandemic era. Considering sources of funding other than passenger fares to sustain rail transit, strategizing to reinvent and reinforce downtowns as destinations, and shifting rail transit services to appeal to non-commute travel can be promising strategies to support rail transit.

Suggested Citation
Susan Pike, Michael McNally, Daniel Rodriguez and Meiqing Li (2024) Rail Transit Ridership Changes in COVID-19: Lessons from Station Area Characteristics. Research Report. UC ITS. Available at: https://doi.org/10.7922/g2g44nnx.