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

January 1, 2015

Author(s)

Neda Masoud, R. (Jay) Jayakrishnan

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.

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

March 1, 2017

Author(s)

Luping Sun, Xing Zheng, Meng Su, Robin Keller

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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.

published journal article

Inventory planning with forecast updates: Approximate solutions and cost error bounds

Operations Research

Publication Date

December 1, 2006

Author(s)

Xiangwen Lu, Jiongjiong (John) Song, Amelia Regan

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Suggested Citation

Xiangwen Lu, Jing-Sheng Song and Amelia Regan (2006) “Inventory planning with forecast updates: Approximate solutions and cost error bounds”, Operations Research, 54(6), pp. 1079–1097. Available at: 10.1287/opre.1060.0338.

Phd Dissertation

An object-relational approach to visual database

Publication Date

January 1, 1998

Author(s)

Taehyung (George) Wang

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Suggested Citation

Taehyung Wang (1998) An object-relational approach to visual database. PhD Dissertation. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1go3t9q/alma991035093066004701.

research report

Role of Vehicle Technology on Use: Joint analysis of the choice of Plug-in Electric Vehicle ownership and miles traveled

Publication Date

September 1, 2023

Author(s)

Debapriya Chakraborty, David Bunch, David Brownstone

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Abstract

The increasing diversity of vehicle type holdings and growing demand for BEVs and PHEVs have serious policy implications for travel demand and air pollution. Consequently, it is important to accurately predict or estimate the preference for vehicle holdings of households as well as the vehicle miles traveled by vehicle body- and fuel-type to project future VMT changes and mobile source emission levels. Leveraging the 2019 California Vehicle Survey data, this report presents the application of a utility-based model for multiple discreteness that combines multiple vehicle types with usage in an integrated model, specifically the MDCEV model. The model results suggest the important effects of household demographics, residence location, and built environment factors on vehicle body type and powertrain choice and usage. Further the predictions associated with changes inbuilt environment factors like population density can inform the design of land-use and transportation policies to influence household vehicle holdings and usage that can in turn impact travel demand and air quality issues in California.View the NCST Project Webpage

Suggested Citation

Debapriya Chakraborty, David S. Bunch and David Brownstone (2023) Role of Vehicle Technology on Use: Joint analysis of the choice of Plug-in Electric Vehicle ownership and miles traveled. Final Report NCST-UCD-RR-23-30. Available at: 10.7922/G2VD6WT0.

published journal article

The process of information propagation in a traffic stream with a general vehicle headway: A revisit

Transportation Research Part C: Emerging Technologies

Publication Date

June 1, 2010

Author(s)

Bruce (Xiubin) Wang, Teresa M. Adams, Wenlong Jin, Qiang Meng

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Suggested Citation

Bruce (Xiubin) Wang, Teresa M. Adams, Wenlong Jin and Qiang Meng (2010) “The process of information propagation in a traffic stream with a general vehicle headway: A revisit”, Transportation Research Part C: Emerging Technologies, 18(3), pp. 367–375. Available at: 10.1016/j.trc.2009.05.011.

published journal article

Examining the joint effects of heatwaves, air pollution, and green space on the risk of preterm birth in California

Environmental Research Letters

Publication Date

October 1, 2020

Author(s)

Yi Sun, Sindana D. Ilango, Lara Schwarz, Qiong Wang, Jiu-Chiuan Chen, Jean M. Lawrence, Jun Wu, Tarik Benmarhnia

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Abstract

Background. Exposure to high air temperature in late pregnancy is increasingly recognized as a risk factor for preterm birth (PTB). However, the combined effects of heatwaves with air pollution and green space are still unexplored. In the context of climate change, investigating the interaction between environmental factors and identifying communities at higher risk is important to better understand the etiological mechanisms and design targeted interventions towards certain women during pregnancy. Objectives. To examine the combined effects of heatwaves, air pollution and green space exposure on the risk of PTB. Methods. California birth certificate records for singleton births (2005–2013) were obtained. Residential zip code-specific daily temperature during the last week of gestation was used to create 12 definitions of heatwave with varying temperature thresholds and durations. We fit multi-level Cox proportional hazard models with time to PTB as the outcome and gestational week as the temporal unit. Relative risk due to interaction (RERI) was applied to estimate the additive interactive effect of air pollution and green space on the effect of heatwaves on PTB. Results. In total, 1 967 300 births were included in this study. For PM2.5, PM10 and O3, we found positive additive interactions (RERIs >0) between heatwaves and higher air pollution levels. Combined effects of heatwaves and green space indicated negative interactions (RERIs <0) for less intense heatwaves (i.e. shorter duration or relatively low temperature), whereas there were potential positive interactions (RERIs >0) for more intense heatwaves. Conclusion. This study found synergistic harmful effects for heatwaves with air pollution, and potential positive interactions with lack of green space on PTB. Implementing interventions, such as heat warning systems and behavioral changes, targeted toward pregnant women at risk for high air pollution and low green space exposures may optimize the benefits of reducing acute exposure to extreme heat before delivery.

Suggested Citation

Yi Sun, Sindana D. Ilango, Lara Schwarz, Qiong Wang, Jiu-Chiuan Chen, Jean M. Lawrence, Jun Wu and Tarik Benmarhnia (2020) “Examining the joint effects of heatwaves, air pollution, and green space on the risk of preterm birth in California”, Environmental Research Letters, 15(10), p. 104099. Available at: 10.1088/1748-9326/abb8a3.

published journal article

Macroscopic characteristics of lane-changing traffic

Transportation Research Record

Publication Date

January 1, 2010

Author(s)

Wenlong Jin

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Suggested Citation

Wen-Long Jin (2010) “Macroscopic characteristics of lane-changing traffic”, Transportation Research Record, 2188(1), pp. 55–63. Available at: 10.3141/2188-07.

conference paper

Panel session - effective strategies to diversify engineering faculty

Proceedings. Frontiers in education. 36th annual conference

Publication Date

January 1, 2006

Author(s)

Lisa Frehill, Ann Gates, Steven Castillo, Emir Macari, Amelia Regan

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Suggested Citation

Lisa Frehill, Ann Gates, Steven Castillo, Emir Macari and Amelia Regan (2006) “Panel session - effective strategies to diversify engineering faculty”, in Proceedings. Frontiers in education. 36th annual conference. IEEE, pp. 1–1. Available at: 10.1109/fie.2006.322453.

conference paper

QoE inference without application control

Proceedings of the 2016 workshop on - Internet-QoE '16

Publication Date

January 1, 2016

Author(s)

Ashkan Nikravesh, David Ke Hong, Qi Alfred Chen, Harsha V. Madhyastha, Z. Morley Mao

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Suggested Citation

Ashkan Nikravesh, David Ke Hong, Qi Alfred Chen, Harsha V. Madhyastha and Z. Morley Mao (2016) “QoE inference without application control”, in Proceedings of the 2016 workshop on - Internet-QoE '16. ACM Press, pp. 19–24. Available at: 10.1145/2940136.2940145.