Zhao, Zhan; Zhao, Jinhua; Shen, Qing. (2013). Has Transportation Demand of Shanghai, China, Passed Its Peak Growth? Transportation Research Record, 2394, 85 – 92.
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Abstract
On the basis of four comprehensive transportation surveys in Shanghai, China, this study examined the latest trends in Shanghai's travel demand; investigated their social, economic, and spatial drivers; and compared the pace of travel demand growth in three periods: 1980s to early 1990s, early 1990s to mid-2000s, and mid-2000s to the present. The demand growth was relatively slow in the first period and then sped up in the second before it returned to a slower pace in the third period. As for trip purpose, Shanghai's travel is much more diversified than previously, with an increasing share of noncommuting trips (from 28% in 1995 to 46% in 2009). Spatially, travel demand is dispersed from the central district to peripheral districts because of urban expansion and decentralization and from Puxi (west of the Huangpu River) to Pudong (east of the Huangpu River) as a result of significant economic development of the Pudong New Area. Both spatial diffusion and purpose diversification favor the convenience and flexibility of private motor vehicles. Driven by rapid motorization, vehicle travel is growing at a much faster pace than person travel. Overall, the annual growth rate for travel demand in Shanghai reached its peak in 2004 for both person trips and vehicle trips. In absolute numbers, person trip growth has peaked, but vehicle trip growth has not. In response to the growing demand, especially rapid motorization, the local government has made tremendous investments in road infrastructure and public transit, and it has attempted to manage demand through vehicle ownership control.
Keywords
Urban; Impacts; Policy
Nazari, Ahad; Vandadian, Shaghayegh; Abdirad, Hamid. (2017). Fuzzy AHP Model for Prequalification of Engineering Consultants in the Iranian Public Procurement System. Journal Of Management In Engineering, 33(2).
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Abstract
Prequalification of engineering consultants in the Iranian public procurement system is suffering from arbitrary processes and criteria that cannot effectively shortlist the increasing number of potential bidders. This study aims to develop a prequalification model that can serve as the basis for revising the existing regulations and criteria. The authors conducted interviews among experts to localize a framework of prequalification criteria. Fuzzy analytical hierarchy process (FAHP), accompanied by a survey among industry participants, was used to determine the importance level of decision criteria. The results confirmed that the existing guidelines cannot meet the expectations of the industry due to the overemphasis on the past performance of consultants and disregarding their current capabilities. For the international audience, this study clarifies that (1)the working culture of industry participants impacts their judgments on the importance level of intangible and tangible criteria used for prequalification processes, (2)short-listing consultants for long-term and fragmented data collection in national registration or project prequalification should be avoided, and (3)researchers must test FAHP models with different fuzzy scales because the success of the widely used fuzzy extent analysis method is highly dependent on the scale of fuzzy functions and judgments of decision makers.
Keywords
Analytic Hierarchy Process; Fuzzy Set Theory; Organisational Aspects; Procurement; Project Management; Public Relations; Tendering; Fuzzy Ahp Model; Project Prequalification Criteria; Iranian Public Procurement System; Bidders; Fuzzy Analytical Hierarchy Process; Industry Participants; International Audience; National Registration; Fuzzy Scales; Fuzzy Extent Analysis Method; Decision Makers; Engineering Consultants; Working Culture; Decision-making Model; Extent Analysis Method; Selection; Qualification; Contractors; Criteria; Consultants; Prequalification; Fuzzy; Analytical Hierarchy Process (ahp)
Shang, Luming; Aziz, Ahmed M. Abdel. (2020). Stackelberg Game Theory-Based Optimization Model for Design of Payment Mechanism in Performance-Based PPPs. Journal Of Construction Engineering And Management, 146(4).
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Abstract
Payment mechanisms lie at the heart of public-private partnership (PPP) contracts. A good design of the payment mechanism should consider the owner's goals in the project, allocate risks appropriately to stakeholders, and assure satisfactory performance by providing reasonable compensation to the private developer. This paper proposes a Stackelberg game theory-based model to assist public agencies in designing payment mechanisms for PPP transportation projects. The interests of both public and private sectors are considered and reflected by a bilevel objective function. The model aims to search for solutions that maximize a project's overall performance for the sake of social welfare while simultaneously maximizing return for the sake of private investment. A variable elimination method and genetic algorithm are used to solve the optimization model. A case study based on a real PPP project is discussed to validate the effectiveness of the proposed model. The solutions provided by the model reveal that the optimal payment mechanism structure could be established such that it would satisfy owners' requirements for overall project performance while optimizing project total payments to contractors.
Keywords
Construction Industry; Contracts; Financial Management; Game Theory; Genetic Algorithms; Investment; Optimisation; Organisational Aspects; Project Management; Public Administration; Transportation; Public-private Partnership Contracts; Good Design; Private Developer; Stackelberg Game Theory-based Model; Ppp Transportation Projects; Public Sectors; Private Sectors; Private Investment; Ppp Project; Optimal Payment Mechanism Structure; Project Performance; Project Total Payments; Stackelberg Game Theory-based Optimization Model; Performance-based Ppps; Public-private Partnerships; Analytic Hierarchy Process; Weighted Sum Method; Multiobjective Optimization; Algorithm; Incentives; Projects; Network; Success; Branch
In Making Healthy Places, Second Edition: Designing and Building for Well-Being, Equity, and Sustainability, planning and public health experts, Andy L. Dannenberg, Affiliate Professor of Urban Design & Planning, along with co-authors Nisha D. Botchwey and Howard Frumkin bring together scholars and practitioners from across the globe in fields ranging from public health, planning, and urban design, to sustainability, social work, and public policy. This updated and expanded edition explains how to design and build places that are beneficial to the…
In 2021 the College of Built Environments launched the CBE Inspire Fund, designed to support CBE research activities for which a relatively small amount of support can be transformative. The second year of awards have just been announced, supporting five projects across 4 departments within the college as they address topics such as food sovereignty, anti-displacement, affordable housing, and health & wellbeing. This year’s awardees include: Defining the New Diaspora: Where Seattle’s Black Church Congregants Are Moving and Why Rachel…
Though Transit Equity Day is just one day, the issue of equity on Seattle’s public transit is an ongoing and important conversation to Seattle and King County residents. Neighborhoods across the county have unequal access to transit lines; bus stops are often located in inconvenient or dangerous places due to oncoming traffic and lack of sidewalks; and bus schedules are irregular or sparse, with long wait times. These are just a few of the challenges folks might experience before getting…
I am interested in sustainable buildings with an emphasis on energy efficiency, health requirements, indoor air quality, incentives, and green financing. This interest is shaped by the emerging trend towards healthy buildings that improve the occupants’ productivity and health. My research agenda focuses on reconceptualizing sustainable building’s performance to meet the building’s health requirements and energy-efficiency and promote this in policy decision-making settings, including improving the risk responsiveness of codes and standards for building practices.
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The Cyber-BE Lab integrates the latest in academic research on policy, communication, and organization with industry expertise on IoT security, risk mitigation and building operations. Cyber-BE offers a holistic understanding of IoT in the built environment. We support the organizational, communication, and policy innovations that will help minimize IoT risk through:
- Advancing social scientific research to better understand and apply smart technology in the built environment
- Delivering usable guidance and tools to address the policy, organizational, and communication challenges that industry practitioners face
- Building a community of practice of IoT security practitioners and researchers
The lab leads include Laura Osburn, Senior Research Scientist at the Department of Construction Management, Jessica Beyer, Lecturer and Research Scientist at the Jackson School of International Studies, and Chuck Benson, Director of IoT Risk Mitigation Strategy at the University of Washington.
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