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published journal article
Announcement effects of urban regeneration plans on residential property values: Evidence from Ulsan, Korea
Cities (London, England)
Publication Date
Author(s)
Abstract
This article examines whether, and to what extent, the announcement of new urban regeneration plans has influenced residential property values in Ulsan, Korea, where state-led initiatives have recently taken place to revitalize urban core areas in a more incremental and participatory manner. This is accomplished by analyzing data for single-family residential properties sold from January 2014 to December 2016 in the Ulsan Metropolitan area. A sample of 7139 transactions is used for hedonic analysis with consideration of the detailed timing of plan information dissemination from the beginning of the planning process to the release of the final plan. The results showed that the urban regeneration strategic plan’s release in December 2015 had a significant influence on the values of residential properties within and around the project sites, but this influence varied across neighborhoods. The effect of the plan release was found to be most significant in/around the project sites where residents showed a high level of willingness to participate. In these areas, price escalations were found to occur even before the release of the final plan, suggesting that appropriate planning interventions are required at early stages of urban regeneration projects to protect vulnerable groups of residents from potential displacement.
Suggested Citation
Gi-Hyoug Cho, Jae Hong Kim and Gain Lee (2020) “Announcement effects of urban regeneration plans on residential property values: Evidence from Ulsan, Korea”, Cities (London, England), 97, p. 102570. Available at: 10.1016/j.cities.2019.102570.conference paper
A decomposition Algorithm to solve the multi-hop peer-to-peer ride-matching problem
Proceedings of the 94th annual meeting of the transportation research board
Publication Date
Author(s)
Abstract
In this paper, the authors present a formulation of the multi-hop many-to-many Peer-to-Peer ride- matching problem, found in shared-ride applications. A many-to-many problem is one in which a rider can travel with multiple drivers, and a driver can carry multiple riders. The authors propose a pre- processing procedure to reduce the size of the problem. Furthermore, they devise a decomposition algorithm to solve the original ride-matching problem to optimality by means of solving multiple smaller problems. Finally, they demonstrate the computational efficiency of the proposed algorithm by solving randomly generated instances of the problem.
Suggested Citation
Neda Masoud and R. Jayakrishnan (2015) “A decomposition Algorithm to solve the multi-hop peer-to-peer ride-matching problem”, in Proceedings of the 94th annual meeting of the transportation research board, p. 18p.working paper
Determinants of Air Cargo Traffic in California
Publication Date
Author(s)
Abstract
Studies on the economic impact of air cargo traffic have been gaining traction in recent years. The slowed growth of air cargo traffic at California’s airports, however, has raised more pressing questions amongst airport planners and policy makers regarding the determinants of air cargo traffic. Specifically, it would be useful to know howCalifornia’s air cargo traffic is affected by urban economic characteristics surrounding airports. Accordingly, this study estimates the socioeconomic determinants of air cargo traffic across cities in California. We construct a 7-year panel (2003-2009) using quarterly employment, wage, population, and traffic data for metro areas in the state. Our results reveal that the concentration of service and manufacturing employment impacts the volume of outbound air cargo. Total air cargo traffic is found to grow faster than population, while the corresponding domestic traffic grows less than proportionally to city size. Wages play a significant role in determining both total and domestic air cargo movement. We provide point estimates for the traffic diversion between cities, showing that 80 percent of air cargo traffic is diverted away from a small city located within 100 miles of a large one. Using socioeconomic and demographic forecasts prepared for California’s Department of Transportation, we also forecast metro-level total and domestic air cargo tonnage for the years 2010-2040. Our forecasts for this period indicate that California’s total (domestic) air cargo traffic will increase at an average rate of 5.9 percent (4.4 percent) per year.
Suggested Citation
Paulos Ashebir Lakew and Yeow Chern Andre Tok (2014) Determinants of Air Cargo Traffic in California. Working Paper UCI-ITS-WP-13-7. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/13t1s772.working paper
Competition and Prices in the Deregulated Gas Pipeline Network: A Multivariate Cointegration Analysis
Publication Date
Associated Project
Author(s)
Abstract
This research uses multivariate cointegration analysis to assess the degree of competition in the U.S. natural gas industry following the move to open access pipeline transportation. The testing methodology allows multiple nodes in the pipeline network to be analyzed simultaneously and is based on recent advances by Johansen (1988, 1991) and Johansen and Juselius (1990) on estimation and hypothesis testing in multivariate cointegrated systems. Daily price data across the North American natural gas transmission grid are analyzed and the results indicate that the pattern of prices between production areas is consistent with allocative efficiency.
Suggested Citation
W. David Walls (1993) Competition and Prices in the Deregulated Gas Pipeline Network: A Multivariate Cointegration Analysis. Working Paper No. 203. Institute of Transportation Studies, UC Irvine: University of California Transportation Center. Available at: https://escholarship.org/uc/item/9tg8v7zd.research report
Evaluation of Signalized Intersection Safety Using Centracs System
Publication Date
Associated Project
Author(s)
Final Report
Areas of Expertise
Suggested Citation
Xinkai Wu, Sawanpreet Dhaliwal, Will Recker, Wenlong Jin and Xudong Jia (2016) Evaluation of Signalized Intersection Safety Using Centracs System. Final Report CA17-2646. Caltrans / CalPoly Pomona / ITS-Irvine. Available at: https://dot.ca.gov/-/media/dot-media/programs/research-innovation-system-information/documents/final-reports/ca17-2646-finalreport-a11y.pdf.published journal article
Intention–Behavior Discrepancy of Foreign versus Domestic Brands in Emerging Markets: The Relevance of Consumer Prior Knowledge
Journal of International Marketing
Publication Date
Author(s)
Abstract
Most research on the performance of foreign versus domestic brands in emerging markets has examined dependent measures of product evaluation or purchase intention. However, consumers who intend to buy a product may switch to competing brands, thus displaying an intention–behavior discrepancy (IBD). Drawing on literature on country associations and dual process theory, the authors examine the performance of foreign versus domestic brands on IBD in emerging markets and the moderating role of consumer prior knowledge. They conduct an intention survey followed by a postpurchase survey in the Chinese automobile and smartphone industries and find that foreign brands have an advantage on IBD relative to domestic brands, indicating that they have the dual advantage of higher evaluations and lower IBDs. Furthermore, foreign brands’ advantage on IBD is smaller for consumers with inaccurate prior knowledge because they are more likely to systematically reprocess information and discount foreign brands’ favorable country associations. For these consumers, overestimating the product reduces foreign brands’ advantage to a lesser degree than underestimating it as a result of confirmation bias. These findings provide implications for brands in emerging markets.
Suggested Citation
Luping Sun, Xiaona Zheng, Meng Su and L. Robin Keller (2017) “Intention–Behavior Discrepancy of Foreign versus Domestic Brands in Emerging Markets: The Relevance of Consumer Prior Knowledge”, Journal of International Marketing, 25(1), pp. 91–109. Available at: 10.1509/jim.15.0123.working paper
Product Differentiation on Roads: Second-Best Congestion Pricing with Heterogeneity under Public and Private Ownership
Publication Date
Author(s)
Abstract
We explore the properties of various types of public and private pricing on a congested road network with heterogeneous users and allowing for elastic demand. Heterogeneity is represented by a continuum of values of time. The network consists of both serial and parallel links, which allows us to model second-best pricing restrictions on either complementary or substitute links, while still accounting for interaction between different groups on shared links (e.g. in city centres). We find that private (revenue-maximizing) pricing is much less efficient than public, whether on the partial or the full network; but this difference is mitigated by the product differentiation made possible by heterogeneous users. Ignoring heterogeneity causes the welfare benefits of second-best pricing of one parallel link, a policy currently receiving favourable consideration, to be dramatically underestimated Product differentiation produces some unexpected distributional effects, including the possibility that first-best pricing can result in one of the parallel routes being both more expensive and more congested than with no pricing.
Suggested Citation
Erik T. Verhoef and Kenneth A. Small (1999) Product Differentiation on Roads: Second-Best Congestion Pricing with Heterogeneity under Public and Private Ownership. Working Paper UCI-ITS-WP-99-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8h45v1v3.working paper
Estimation of Vehicular Emissions by Capturing Traffic Variations
Publication Date
Working Paper
Areas of Expertise
Abstract
Increase in traffic volumes and changes in travel-related characteristics increase vehicular emissions significantly. It is difficult, however, to accurately estimate emissions with current practice because of the reliance on travel forecasting models that are based on steady state hourly averages and, thus, are incapable of capturing the effects of traffic variations in the transportation network. This paper proposes an intermediate model component that can provide better estimates of link speeds by considering a set of Emission Specific Characteristics (ESC) for each link. The intermediate model is developed using multiple linear regression; it is then calibrated, validated, and evaluated using a microscopic traffic simulation model. The improved link speed data can then be used to provide better estimates of emissions. The evaluation results show that the proposed emission estimation method performs better than current practice and is capable of estimating time-dependent emissions if traffic sensor data are available as model input.
Suggested Citation
K.S. Nesamani, Lianyu Chu, Michael G. McNally and R. Jayakrishnan (2005) Estimation of Vehicular Emissions by Capturing Traffic Variations. Working Paper UCI-ITS-WP-05-6. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7gz0f9sf.published journal article