conference paper

A modeling framework for design of multimodal long-haul freight network

Proceedings of the 86th annual meeting of the transportation research board

Publication Date

January 1, 2007

Author(s)

Pruttipong Apivatanagul, Amelia Regan

Abstract

Demands for long haul freight movements continue to grow due primarily to increasing international trade. This increase drives the need for major infrastructure improvements at the local, state and federal level. Although long haul freight mostly moves on the high mobility network of the interstate highway system, local road networks play an important role in providing efficient access to the high mobility network. This study applies a bi-level network design approach to solve the integrated network design problem. Network representations, the upper level and lower level problems, are adjusted to as appropriate for a freight network study. Our study presents a framework for integrated network improvement project selection. The study output can be used as supplemental information to traditional transportation planning tools such as benefit-cost analysis.

Suggested Citation

Pruttipong Apivatanagul and Amelia C. Regan (2007) “A modeling framework for design of multimodal long-haul freight network”, in Proceedings of the 86th annual meeting of the transportation research board, p. 20p.

published journal article

Spatial heterogeneity of the associations of economic and health care factors with infant mortality in China using geographically weighted regression and spatial clustering

Social Science & Medicine

Publication Date

October 1, 2020

Author(s)

Siming Wang, Jun Wu

View published journal article

Abstract

Economic factors and health care resources are important influential factors of infant mortality. We aimed to examine prefecture-level spatial heterogeneity and clustering of the associations of economic and health care factors with infant mortality rates (IMR) in China. IMR data in 348 prefectures were calculated and adjusted, and economic and health care data were collected in each prefecture in China, 2010. Stepwise regression was used to select important variables, and geographically weighted regression (GWR) was applied to examine the spatial variations of the relationships between economic and health care factors and IMR. The k-means clustering was developed to elucidate the spatial clustering patterns of the GWR coefficients. The results showed that three important variables were selected in the multivariable regression model, including per capita income of rural residents, Engel’s coefficient of rural residents, and proportion of government health expenditure. The GWR with these three variables revealed spatial heterogeneity of the associations between IMR and economic and health care factors; western China generally had higher GWR R-squares and stronger associations between IMR and all the three variables than the middle-eastern part of China. Based on the GWR coefficients, three distinct spatial clusters were identified. This study contributes new findings on the spatial heterogeneity of the associations between economic and health care factors and infant mortality rate in China, which calls for region-specific policies to reduce infant mortality in China.

Suggested Citation

Shaobin Wang and Jun Wu (2020) “Spatial heterogeneity of the associations of economic and health care factors with infant mortality in China using geographically weighted regression and spatial clustering”, Social Science & Medicine, 263, p. 113287. Available at: 10.1016/j.socscimed.2020.113287.

published journal article

Assessing impacts of freeway truck traffic on residential property values. Southern California Case Study

Transportation Research Record

Publication Date

January 1, 2012

Author(s)

Wei Li, Jean-Daniel Saphores

View published journal article

Suggested Citation

Wei Li and Jean-Daniel Saphores (2012) “Assessing impacts of freeway truck traffic on residential property values. Southern California Case Study”, Transportation Research Record, 2288(1), pp. 48–56. Available at: 10.3141/2288-06.

published journal article

California Transportation: Inventory and Prospects

California Management Review

Publication Date

January 1, 1984

Author(s)

Gordon (Pete) Fielding

View published journal article

Abstract

California has a superb transportation system. The 171,000 miles of public access highways provide both feeder and arterial systems throughout the state and allow rail, air, and port facilities to operate more efficiently. Approximately 97 percent of the passenger miles and more than 80 percent of the ton-miles of freight are transported by autos, trucks, and buses using this highway system. But the system is aging. Many of the most heavily traveled routes have exceeded their 25 year “design life.” Surfaces are cracking and buckling, on ramps are too short for the larger trucks and buses, and use of off ramps is so far in excess of designed capacity that congestion backs up onto freewavs and arterial streets. Major renovations are required which will be costly and require the closing of facilities.

Suggested Citation

Gordon J. Fielding (1984) “California Transportation: Inventory and Prospects”, California Management Review, 26(2), pp. 100–111. Available at: 10.2307/41165070.

research report

Evaluation of automated workzone information system (AWIS) CHIPS (Computerized highway information processing system)

Publication Date

January 1, 2005

Author(s)

Lianyu Chu, Hamed Benouar, Will Recker

Suggested Citation

Lianyu Chu, Hamed Benouar and Wilfred W Recker (2005) Evaluation of automated workzone information system (AWIS) CHIPS (Computerized highway information processing system).

published journal article

Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems

Sustainability

Publication Date

January 1, 2020

Author(s)

Jin Choi, Katherine Lee, Hyunmyung Kim, Sunghi (Sunny) An, Daisik (Danny) Nam

View published journal article

Abstract

Fatigue-related crashes, which are mainly caused by drowsy or distracted driving, account for a significant portion of fatal accidents on highways. Smart vehicle technologies can address this issue of road safety to improve the sustainability of transportation systems. Advanced driver-assistance system (ADAS) can aid drowsy drivers by recommending and guiding them to rest locations. Past research shows a significant correlation between driving distance and driver fatigue, which has been actively studied in the analysis of resting behavior. Previous research efforts have mainly relied on survey methods at specific locations, such as rest areas or toll booths. However, such traditional methods, like field surveys, are expensive and often produce biased results, based on sample location and time. This research develops methods to better estimate travel resting behavior by utilizing a large-scale dataset obtained from car navigation systems, which contain 591,103 vehicle trajectories collected over a period of four months in 2014. We propose an algorithm to statistically categorize drivers according to driving distances and their number of rests. The main algorithm combines a statistical hypothesis test and a random sampling method based on the renowned Monte-Carlo simulation technique. We were able to verify that cumulative travel distance shares a significant relationship with one’s resting decisions. Furthermore, this research identifies the resting behavior pattern of drivers based upon their travel distances. Our methodology can be used by sustainable traffic safety operators to their driver guiding strategies criterion using their own data. Not only will our methodology be able to aid sustainable traffic safety operators in constructing their driver guidance strategies criterion using their own data, but it could also be implemented in actual car navigation systems as a mid-term solution. We expect that ADAS combined with the proposed algorithm will contribute to improving traffic safety and to assisting the sustainability of road systems.

Suggested Citation

Jaeheon Choi, Kyuil Lee, Hyunmyung Kim, Sunghi An and Daisik Nam (2020) “Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems”, Sustainability, 12(15), p. 5936. Available at: 10.3390/su12155936.

conference paper

Distributed large-scale network modeling with paramics implementation

Proceedings. 2005 IEEE intelligent transportation systems, 2005.

Publication Date

January 1, 2005

Author(s)

Henry Liu, Wenteng Ma, R. (Jay) Jayakrishnan, Will Recker, Hx Liu, W Ma, R Jayakr-Ishnan, Will Recker

View conference paper

Suggested Citation

Henry X Liu, Wenteng Ma, R Jayakrishnan, Will Recker, Hx Liu, W Ma, R Jayakr-Ishnan and W Recker (2005) “Distributed large-scale network modeling with paramics implementation”, in Proceedings. 2005 IEEE intelligent transportation systems, 2005.. IEEE / Citeseer. Available at: 10.1109/itsc.2005.1520053.

published journal article

Use of historical mapping to understand sources of soil-lead contamination: Case study of Santa Ana, CA

Environmental Research

Publication Date

September 1, 2022

Author(s)

Juan Manuel Rubio, Shahir Masri, Ivy R. Torres, Yi Sun, Keila Villegas, Patricia Flores, Michael D. Logue, Abigail Reyes, Alana M. W. LeBrón, Jun Wu

View published journal article

Abstract

This paper investigates the historical sources of soil-lead contamination in Santa Ana, California. Even though dangerous levels of soil-lead have been found in a wide variety of communities across the United States, public health institutions lack clarity on the historical origins of these crises. This study uses geo-spatial data collected through archival research to estimate the impact of two potential sources of lead contamination in the past — lead-paint and leaded gasoline. It examines, through a combination of statistical and historical methods, the association between lead concentrations in contemporary soil samples and patterns in the evolution of the city’s physical features, such as the growth of urbanized areas and the historical flow of traffic. We emphasize the value of historical data collected through archival research for understanding the sources of environmental lead, particularly leaded gasoline, which our study found to be the most likely and most prominent contributor to soil-lead in Santa Ana’s environment. This research contributes to environmental-justice advocacy efforts to reframe lead poisoning as a systemic environmental issue and outlines the path forward to community-level remediation strategies.

Suggested Citation

Juan Manuel Rubio, Shahir Masri, Ivy R. Torres, Yi Sun, Keila Villegas, Patricia Flores, Michael D. Logue, Abigail Reyes, Alana M. W. LeBrón and Jun Wu (2022) “Use of historical mapping to understand sources of soil-lead contamination: Case study of Santa Ana, CA”, Environmental Research, 212, p. 113478. Available at: 10.1016/j.envres.2022.113478.

published journal article

Advances in dynamic traffic assgmnt: Tac. A New Relationship Between Wardrop's User Equilibrium and Nash Equilibrium

Networks and spatial economics

Publication Date

July 1, 2014

Author(s)

Wenlong Jin

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Suggested Citation

Wen-Long Jin (2014) “Advances in dynamic traffic assgmnt: Tac. A New Relationship Between Wardrop's User Equilibrium and Nash Equilibrium”, Networks and spatial economics, 15(3), pp. 617–634. Available at: 10.1007/s11067-014-9250-x.

published journal article

The Geography of opportunity: Race and housing choice in metropolitan America

Choice Reviews Online

Publication Date

June 1, 2006

Author(s)

Victoria Basolo

View published journal article

Suggested Citation

Victoria Basolo (2006) “The Geography of opportunity: Race and housing choice in metropolitan America”, Choice Reviews Online, 43(10), pp. 43-5959-43-5959. Available at: 10.5860/choice.43-5959.