WorldCat Identities

Liu, Liang Y.

Overview
Works: 58 works in 87 publications in 1 language and 832 library holdings
Roles: Author
Publication Timeline
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Most widely held works by Liang Y Liu
1994 Texas school survey of substance use among students : grades 4-6 by Liang Y Liu( Book )

6 editions published in 1995 in English and held by 122 WorldCat member libraries worldwide

1992 Texas school survey of substance abuse : grades 4-6 by Liang Y Liu( Book )

3 editions published in 1993 in English and held by 99 WorldCat member libraries worldwide

Substance use among youths at high risk of dropping out : grades 7-12 in Texas, 1998 by Liang Y Liu( Book )

3 editions published between 1994 and 2000 in English and held by 67 WorldCat member libraries worldwide

Statewide school surveys are conducted biennially by TCADA's Research and Evaluation Department. The survey covers not only prevalence of substance use, but also other factors affecting youth substance use and the students' attitudes toward substance use.--Publisher's description
Economic costs of alcohol and drug abuse in Texas : 1997 update by Liang Y Liu( Book )

4 editions published between 1995 and 1998 in English and held by 65 WorldCat member libraries worldwide

This report provides an update of the costs of alcohol and drug abuse for 1997. The 1997 costs were estimated by multiplying the percent changes in various socioeconomic factors from 1989 to 1997 by the cost estimates. The adverse health and social consequences of substance abuse extensively increased costs to the state. The total economic costs of alcohol and drug abuse in Texas were estimated at $19.3 billion in 1997. More than 60 percent of the costs resulted from lost productivity ($8.1 billion) and premature death ($3.9 billion) caused by substance abuse. On a per capita basis, the 1997 amount translates to $1,001 per man, woman, and child in the state. Cost estimates are presented in charts and tables with discussion. Core costs include cost of treatment, morbidity (lost productivity), and mortality (premature death). Direct cost variables studied include crime, motor vehicle crashes, social welfare administration, and fire destruction; indirect costs include productivity losses due to victimization, incarceration, and criminal careers. Costs due to diseases are related to aids, Hepatitis b, and perinatal substance exposure. Methods used, data sources, and adjustment factors are discussed. Comparison costs for 1989, 1994 and 1997 are appended. (Author/EMK)
1998 Texas school survey of substance use among students : grades 4-6 by Lynn S Wallisch( Book )

2 editions published in 1999 in English and held by 50 WorldCat member libraries worldwide

1996 Texas school survey of substance use among students : grades 7-12 by Liang Y Liu( Book )

2 editions published in 1997 in English and held by 50 WorldCat member libraries worldwide

Economic costs of alcohol and drug abuse in Texas--1989 by Liang Y Liu( Book )

2 editions published in 1992 in English and held by 49 WorldCat member libraries worldwide

2000 Texas school survey of substance use among students : grades 7-12 by Liang Y Liu( Book )

2 editions published in 2001 in English and held by 46 WorldCat member libraries worldwide

1998 Texas school survey of substance use among students : grades 7-12 by Jane Carlisle Maxwell( Book )

1 edition published in 1999 in English and held by 45 WorldCat member libraries worldwide

1996 Texas school survey of substance use among students : grades 4-6 by Liang Y Liu( Book )

2 editions published in 1997 in English and held by 41 WorldCat member libraries worldwide

Texas school survey of substance use among students : grades 7-12, 2002 by Liang Y Liu( Book )

8 editions published between 1994 and 2003 in English and held by 40 WorldCat member libraries worldwide

DWI recidivism in Texas, 1987-1990 by Liang Y Liu( Book )

1 edition published in 1993 in English and held by 24 WorldCat member libraries worldwide

1994 executive summary : Texas school survey of substance use among students, grades 7-12 by Liang Y Liu( Book )

1 edition published in 1995 in English and held by 21 WorldCat member libraries worldwide

Economic costs of alcohol and drug abuse in Texas, 2000 by Liang Y Liu( Book )

1 edition published in 2002 in English and held by 20 WorldCat member libraries worldwide

Executive summary : 1994 Texas school survey of substance use among students, grades 4-6 by Liang Y Liu( Book )

1 edition published in 1995 in English and held by 19 WorldCat member libraries worldwide

Texas -- AASHTO retroreflective sign sheeting specifications by Liang Y Liu( Book )

3 editions published in 2010 in English and held by 14 WorldCat member libraries worldwide

The Illinois Department of Transportation (IDOT) was appointed to chair an American Association of State Highway and Transportation Officials (AASHTO) effort to develop a specification that will simplify and improve how sign sheeting materials will be specified for state DOTs. At the same time, the American Society for Testing and Materials (ASTM) began efforts to modify their specifications which over the years have expanded to the point that each type that is specified is unique to a single producer. To address the true differences in the performance of these materials the Texas Department of Transportation (TxDOT) and Texas Transportation Institute (TTI) conducted a sign sheeting research demonstration, "Standard Specification for Retroreflective Sheeting for Traffic Control," held on May 21-22, 2009, in College Station, Texas. The two entities hosted the event in which manufacturers, industry, and end users joined forces to attempt to resolve questions regarding how drivers perceive retroreflective sign materials. This report contains the proceedings of the field trip experience from the May demonstration in Texas and summarizes the discussions leading to a final draft specification (7/25/09) that was distributed to the AASHTO Subcommittee on Materials Tech Section 4d Sign Sheeting Task Force. This effort led to a new AASHTO Standard Specification for Retroreflective Sheeting for Traffic Control (M 268-09)
"Green-friendly" best management practices (BMPs) for interstate rest areas by Khaled A El-Rayes( )

2 editions published in 2011 in English and held by 6 WorldCat member libraries worldwide

This report presents the findings of a research project to study and develop a list of "green friendly" Best Management Practices (BMPs) for Illinois interstate rest areas. The research team carried out six major tasks: (1) developed energy cost baseline data and carbon footprint for each Illinois rest area; (2) performed onsite assessment for three selected rest areas; (3) conducted comprehensive literature review; (4) identified potential green-friendly best management practices; (5) developed a Decision Support Tool (DST) for optimizing LEED upgrade decisions of rest area buildings; and (6) developed recommendations for upgrading the three selected rest areas
Optimizing highway reconstruction and rehabilitation projects by Wallied Orabi( )

1 edition published in 2010 in English and held by 3 WorldCat member libraries worldwide

The nation⁰́₉s transportation networks including its roads, highways and bridges are aging and deteriorating at an increasing and rapid rate. The vulnerability of these aging networks of roads and bridges is exacerbated when they are subjected to natural disasters such as earthquakes and hurricanes which often cause severe disruption of the level of service provided by these transportation networks. Significant financial and construction resources are needed to complete the highway reconstruction and rehabilitation projects required to repair these aging and damaged transportation networks and bringing them to acceptable levels. The lack of sufficient resources to complete these highway construction projects concurrently requires effective and efficient utilization of these limited financial and construction resources in order to satisfy multiple and often conflicting objectives. Accordingly, there is a pressing need for new decision support models that are capable of: (1) analyzing the impact of reconstruction/rehabilitation efforts on the performance of transportation networks; (2) optimizing post-disaster reconstruction efforts of damaged transportation networks in order to simultaneously minimize reconstruction costs and network service disruption; and (3) optimizing highway rehabilitation of deficient transportation networks in order identify optimal program(s) that maximize net societal benefits while minimizing the level of service disruption experienced by travelers during the construction efforts. First, a highway service disruption model is developed to support measuring and evaluating the expected disruption in the level of service provided by aging and damaged transportation networks during highway reconstruction and rehabilitation projects. The model considers the impact of construction projects and their dynamic nature on the functional performance of aging and damaged transportation networks during reconstruction and rehabilitation efforts. The capabilities of the developed model in assessing the service disruption in aging and damaged transportation networks, include: (1) considering the dynamic nature of construction operations and activities and identifying their expected impact on the functional performance of aging and damaged transportation networks during reconstruction and rehabilitation efforts; (2) accounting for the rationality of travelers in choosing which route/detour to use to reach their destinations; and (3) evaluating the overall loss/savings in network travel time of the aging and damaged transportation networks during highway reconstruction and rehabilitation efforts. These new and unique capabilities of the developed model should prove useful to decision makers and planners in departments of transportation (DOTs) and should contribute to planning and optimizing highway reconstruction and rehabilitation efforts. Second, resource utilization model and multi-objective optimization models are developed to enable an efficient and effective reconstruction process for damaged transportation networks in the aftermath of natural disasters. The developed models provide a number of new and unique capabilities in generating optimal tradeoffs between network service disruption and reconstruction cost. These capabilities include: (1) considering the impact of the limited availability of resources on scheduling the reconstruction efforts for damaged transportation networks; (2) evaluating the service disruption in the damaged transportation network during the reconstruction efforts; and (3) optimizing the utilization of reconstruction resources to minimize the network service disruption of damaged transportation networks while keeping the reconstruction costs to a minimum. These new and unique capabilities of the developed models should prove useful to decision makers and planners in emergency management agencies and should contribute to enhancing the planning of reconstruction efforts for damaged transportation networks after natural disasters. Third, a highway rehabilitation planning and optimization model is developed to enable efficient and effective rehabilitation of aging transportation networks. This model incorporates four new modules that provide new capabilities in generating optimal tradeoffs between maximizing net rehabilitation benefits and minimizing network service disruption. These capabilities are demonstrated in the ability of the developed rehabilitation planning and optimization model to consider a number of practical highway rehabilitation requirements, including: (1) considering the impact of the limited availability of funding on planning rehabilitation efforts for aging transportation networks; (2) evaluating the expected service disruption and road user savings during and after completion of rehabilitation efforts; (3) estimating the expected net benefits of rehabilitation programs; and (4) optimizing the allocation of financial resources to maximize net rehabilitation benefits and minimize network service disruption. These new and unique capabilities of the research developments presents in this chapter should prove useful to decision makers and planners in departments of transportation (DOTs) and should contribute to enhancing the planning of rehabilitation efforts for aging transportation networks. The main research developments of this study are expected to contribute to the advancement of current practices in highway construction planning and optimization and can lead to: (1) accelerating the completion of highway reconstruction and rehabilitation projects and minimizing the service disruption experienced by travelers during the construction work; (2) optimizing the allocation of limited budgets and financial resources to competing highway projects; and (3) improving the utilization efficiency of construction resources in highway projects and therefore increasing their productivity
"Green-friendly" best management practices (BMPs) for interstate rest areas, phase II by Khaled A El-Rayes( Book )

2 editions published in 2013 in English and held by 3 WorldCat member libraries worldwide

This report presents the findings of a research project to study and develop a list of "green friendly" Best Management Practices (BMPs) for Illinois interstate rest areas. The research team carried out six major tasks: (1) developed energy cost baseline data and carbon footprint for each Illinois rest area; (2) performed onsite assessment for three selected rest areas; (3) conducted comprehensive literature review; (4) identified potential green-friendly best management practices; (5) developed a Decision Support Tool (DST) for optimizing LEED upgrade decisions of rest area buildings; and (6) developed recommendations for upgrading the three selected rest areas
Optimizing site layout and material logistics planning during the construction of critical infrastructure projects by Hisham M Said( )

1 edition published in 2010 in English and held by 3 WorldCat member libraries worldwide

Planning the site layout of construction projects is a crucial task that has a significant impact on construction cost, productivity, and safety. It involves the positioning and dynamic relocation of temporary facilities that are needed to support various construction activities on site such as offices, storage areas, workshops, and parking areas. Due to the complexity of the site layout planning problem, construction managers often perform this task using previous experience, ad-hoc rules, and first-come-first-serve approach which leads to ambiguity and even to inefficiency. Accordingly, a number of site layout planning models have been developed over the past three decades to support this important planning task. Despite the contributions of existing site layout planning models, they have a number of limitations that require additional research in five main areas in order to: (1) ensure global optimization of dynamic site layout planning; (2) integrate material procurement and site layout planning in a construction logistics planning model; (3) enhance the utilization of interior building spaces for material storage areas on congested construction sites; (4) enable automated retrieval and integration of all necessary data of construction logistics and site layout planning from available design and planning documents; and (5) consider security needs and constraints during the construction of critical infrastructure projects. Accordingly, the main objectives of this study are to: (1) formulate novel models of dynamic site layout planning (DSLP) that are capable of generating global optimal solutions of DSLP problems by considering the effects of first stage layout decisions on the layouts of subsequent stages; (2) develop an innovative optimization model for construction logistics planning (CLP) that is capable of integrating and optimizing the critical planning decisions of material procurement and material storage on construction sites; (3) formulate a new multi-objective optimization model for Congested Construction Logistics Planning that is capable of modeling and utilizing interior and exterior spaces in order to generate optimal logistics plans for congested construction sites; (4) develop a multi-objective automated system for construction logistics optimization that enables seamless retrieval and integration of project spatial, temporal, and logistics data as well as generating and reporting optimal plans of material procurement and site layouts; and (5) formulate a multi-objective optimization framework for planning construction site layouts and site security systems of critical infrastructure projects. First, two novel optimization models are developed that are capable of generating global optimal solutions of dynamic site layout planning in order to minimize resources travel and facilities relocation costs while complying with various site geometric constraints. The first model, DSLP-GA, is implemented using Genetic Algorithms while the second model, DSLP-ADP, is formulated using Approximate Dynamic Programming. These two models are designed to optimize facilities locations and orientations over construction stages to minimize total layout costs, which include the travel cost of construction resources and the cost of relocating temporary facilities between construction stages. Furthermore, the developed models consider four types of geometric constraints (boundary, overlap, distance, and zone constraints), which can be used to represent site space availability as well as construction operational and/or safety requirements. The performance of these two models is evaluated using two examples to illustrate their capabilities in generating global optimal plans solutions for dynamic site layout planning problems. Second, a novel model of construction logistics planning (CLP) is developed to enable the integration and simultaneous optimization of critical planning decisions of material procurement and material storage on construction sites. Procurement decision variables are designed to identify the fixed-ordering-periods of each material in every construction stage, while dynamic layout decision variables are designed to identify the locations and orientations of material storage areas and other temporary facilities in each construction stage. The model utilizes Genetic Algorithms to generate optimal material procurement and layout decisions in order to minimize four types of construction logistics costs: material ordering, financing, stock-out, and layout costs. The performance of the developed CLP model is evaluated using an application example that illustrates the model capabilities in: (1) generating optimal procurement decisions that minimize ordering, financing, and stock-out costs while considering site space availability; and (2) generating optimal layout decisions that minimize layout costs while complying with material storage space needs as well as imposed operational and safety geometric constraints. Third, an innovative multi-objective optimization model for congested construction logistics planning (C2LP) is developed to help planners in utilizing interior building spaces and generating optimal logistics plans that minimize total logistics cost while minimizing the adverse impacts of interior material storage on project schedule. Interior building space is represented as a set of non-identical rooms that can be defined based on project architectural drawings, while exterior space is modeled as a grid of locations with planner-specified fixed spacing. The model utilizes multi-objective Genetic Algorithms to formulate and optimize four categories of decision variables: (1) material procurement that includes fixed-ordering-periods of every material in each stage; (2) material storage plan that includes material storage type, exterior grid location, exterior orientation angle, and/or interior storage location for every material in each stage; (3) temporary facilities site layout that identifies exterior grid location and orientation angle for every temporary facility in each stage; and (4) schedule of noncritical activities that identifies the number of minimum-shifting-days within the total float of each non-critical activity. Interior material storage plans are generated using novel computational algorithms that consider four main types of interior storage constraints: room space capacities, room creation times, room partitioning times, and permissible material interior storage periods. Furthermore, new algorithms are developed to calculate interior and exterior material handling costs as well as shifting of noncritical activities. C2LP model utilizes Genetic Algorithms to generate optimal solutions that represent optimal tradeoffs between the two conflicting objectives of minimizing total logistics costs and project schedule criticality. Fourth, a prototype automated multi-objective optimization system for construction logistics planning is implemented to support construction planners in generating optimal plans of material logistics and site layout. The system is developed in four main modules: (1) site spatial data retrieval module; (2) schedule data retrieval module; (3) relational database module; and (4) graphical user interface module. The site spatial data retrieval module is designed to facilitate the automated retrieval of site exterior dimensions and building geometric attributes (building footprint, floors, and rooms) from existing IFC-Based Building Information Models of the project. The schedule data retrieval module is designed to obtain the list of construction activities, their relationships, construction materials, and activities material demand from schedule database files that are exported from Microsoft Project. The relational database module is designed to store and integrate project spatial, temporal, and logistics input data considering their interdependencies in order to eliminate data inconsistencies. The user interface module is designed to facilitate data input and reporting of generated optimal material logistics plans. Fifth, a multi-objective optimization framework is developed to enable construction planners of critical infrastructure projects to plan and optimize the implementation of site physical security systems and layout planning in order to minimize construction security risks and overall site costs. The framework is developed in four main phases: (1) risk identification and system modeling phase to identify security threats, attackers, and targets as well as site and security system geometric representation; (2) security lighting optimization phase to generate optimal tradeoff designs of fence and area lighting systems that consider the conflicting objectives of maximizing lighting performance while minimizing its system cost; (3) security-cost optimization phase to generate optimal site security systems that quantifies and simultaneously minimizes construction security risks and overall site cost; and (4) performance evaluation phase to test and analyze the performance of the proposed framework. The aforementioned developments of this research study contribute to enhancing the current practices of site layout and material logistics planning and can lead to: (1) increasing the efficiency and global optimality of construction site layout planning; (2) improving construction productivity that can be realized as a result of the early coordination between material procurement and site space planning; (3) enhancing the utilization of interior building spaces for material storage areas while minimizing its possible negative impacts on construction operations and schedules; (4) increasing the security level on the construction sites of critical infrastructure projects; and (5) minimizing contractors site costs that cover the travel cost of resources on construction sites, material logistics, and site security systems
 
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English (48)