Multilevel (ML-ICLV) & Single Level Integrated Discrete Choice and Latent Variable (ICLV) Models Using Alternative Latent Structures' Conceptualizations

The aim of the present endeavor is to experiment on integrating discrete choice with latent variable (ICVL) models using alternative factorial structures’ conceptualizations and do so at both Single Level (Level 0) and Multilevel (ML-ICVL). In doing, specific independent variables amenable to alternative latent variables’ conceptualization were selected. These included: a) 1st-order latent variables (1st-order factors) (FM; FW), b) 1st-order latent variables (1st-order factors) (FM; FW) forming a 2nd-order factor (F), c) Multi-level (two-level) factorial structures (FML0; FML1 and FWL0; FWL1), and d) Bi-Factor factorial structures (FM; FW; FG). The results may be of use to researchers interested in using valid, reliable, and accurate structures of latent variables in ICLV models. We confirm that alternative latent structures of divergent factorial nature exist for the same observed variables, and may have different impact upon the dependent observed choice variable in the ICLV models. Second, DCE utility is conceptualized and estimated at both Level 0 and Level 1 and the differences are evident

Multilevel (ML-ICLV) & Single Level Integrated Discrete Choice and Latent Variable (ICLV) Models Using Alternative Latent Structures' Conceptualizations

The aim of the present endeavor is to experiment on integrating discrete choice with latent variable (ICVL) models using alternative factorial structures’ conceptualizations and do so at both Single Level (Level 0) and Multilevel (ML-ICVL). In doing, specific independent variables amenable to alternative latent variables’ conceptualization were selected. These included: a) 1st-order latent variables (1st-order factors) (FM; FW), b) 1st-order latent variables (1st-order factors) (FM; FW) forming a 2nd-order factor (F), c) Multi-level (two-level) factorial structures (FML0; FML1 and FWL0; FWL1), and d) Bi-Factor factorial structures (FM; FW; FG). The results may be of use to researchers interested in using valid, reliable, and accurate structures of latent variables in ICLV models. We confirm that alternative latent structures of divergent factorial nature exist for the same observed variables, and may have different impact upon the dependent observed choice variable in the ICLV models. Second, DCE utility is conceptualized and estimated at both Level 0 and Level 1 and the differences are evident

The Appeal of the Green Deal: Empirical Evidence for the Influence of Energy Efficiency Policy on Renovating Homeowners

The Green Deal is a major new energy policy designed to support the diffusion of energy efficiency measures in UK homes. This paper provides one of the first empirical examinations of the Green Deal’s success in influencing homeowners’ renovation decisions. Using a repeated measures design in which households were questioned before and after the Green Deal’s launch in January 2013, we assess the policy’s success in raising awareness of energy efficiency. In particular, we test the effectiveness of the Green Deal’s positioning to overcome barriers to renovation among homeowners already interested in or considering energy efficiency measures. Using the innovation decision process (Rogers 2003) as a conceptual framing of the renovation decision process, we examine whether new information on energy efficiency provided by the Green Deal strengthened intentions and its antecedents. We find that (1) energy efficiency is of potential appeal to all renovators regardless of their attitudes about energy efficiency, (2) energy efficiency opportunities need to be identified in the early stages of renovation when homeowners are thinking about ways to improve their home, and (3) homeowners’ intentions towards energy efficiency are weakened by uncertainty about financial benefits, helping to explain the relatively slow uptake of the Green Deal to-date

Near-term actions for transforming energy-service efficiency to limit global warming to 1.5°C

A global ‘Low Energy Demand’ (LED) scenario published in 2018 shows how global warming can be limited to 1.5 °C by transforming the way energy services are provided and con- sumed (Grubler et al. 2018). We follow up this long-range sce- nario study by setting out a wide range of near-term actions for improving energy-service efficiency through a combina- tion of technological, organisational and behavioural innova- tion. We focus on three energy services: heating and cooling in buildings, ownership and use of consumer goods, and pas- senger mobility. We identify a set of 28 actions across these three energy services ranging from multi-functional end-use devices and area-based procurement of whole-home retrofits to shared urban mobility services and open digital platforms. For each action we identify the lead implementation actor, scale of action, and the extent of policy and financing requirements. For selected actions, we also provide examples of best practice from around the world, drawing on both peer-reviewed and grey literature. Finally, we identify six basic strategies which are the means by which our diverse set of actions achieve their goal of transforming energy services: electrification, functional convergence, usership, utilisation rates, efficiency frontier, and user-oriented innovation

Alien Registration- Wilson, Charlie (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/26777/thumbnail.jp

Shacklefords Commercial Development Analysis

King and Queen County believes that economic development is crucial to ensuring a stable economy and high quality of life for residents of the county. With an out-commuting rate of 71% for the entire Middle Peninsula region, residents and businesses are spending their money outside of the region due to a lack of job opportunities and commercial development. However, the intersection of Route 33 and The Trail at Shacklefords within King and Queen County provides a major economic development opportunity for King and Queen County and the Middle Peninsula region. Through a one-semester research project, students in a VCU Commercial Revitalization course were invited by King and Queen County Administrator, Thomas Swartzwelder, to complete research on King and Queen County’s opportunity to attract the commuting traffic passing Shacklefords each day, as well as meet the desires of the community and the existing plans for this site. A VDOT Smart Scale funded development, currently in the design phase, will create a telecommuting center at the Shacklefords site, and relocate the offices of the Middle Peninsula Planning District Commission (PDC) to the same development. On a separate site at the same intersection, a privately established craft brewery site represents a convergence of new development that could spur additional commercial opportunities

Granular technologies to accelerate decarbonization

Of the 45 energy technologies deemed critical by the International Energy Agency for meeting global climate targets, 38 need to improve substan- tially in cost and performance while accelerating deployment over the next decades.Low-carbon technological solutions vary in scale from solar panels, e-bikes, and smart thermostats to carbon capture and storage, light rail transit, and whole-building retrofits. We make three contributions to long-standing debates on the appropriate scale of technological responses in the energy system. First, we focus on the specific needs of accelerated low-carbon transformation: rapid technology deployment, escaping lock-in, and social legitimacy. Second, we synthesize evidence on energy end-use technologies in homes, transport, and industry, as well as electricity generation and energy supply. Third, we go beyond technical and economic considerations to include innovation, investment, deployment, social, and equity criteria for assessing the relative advantage of alternative technologies as a function of their scale. We suggest numerous potential advantages of more-granular energy technologies for accelerating progress toward climate targets, as well as the conditions on which such progress depends