bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-world Laboratories in the Building Sector - Strategies for Transformation and Leap Innovations
Authors: Jansen S V , Pawlicki N , Crabbe M , Roswag-Klinge E 
Published: September 2022

Abstract
The German Federal Environment Agency’s (UBA) goal is a climate-neutral and resource-conserving building sector by latest 2050. To reach these targets radical innovation is needed in all areas from material and construction development to the lifecycle-compatible design and adaptability of entire buildings. To accelerate this kind of radical innovation in various areas of the economy, real-world laboratories or regulatory sandboxes are already employed. These are physical or theoretical spaces where legislative frameworks in targeted areas can be lowered or abolished – allowing researchers and businesses to operate in less restrictive regulatory environments. Real-world laboratories have the potential to function as what Schaepke and Steltzer call transformative research – research that drives societal change processes by transforming knowledge. In the building sector, this approach can facilitate the necessary rapid development of new material and construction techniques, while simultaneously valuing the communicative exchange and transfer processes through which these advances can be societally co-produced, validated and legitimized. Planning culture is plagued by outdated and often counterintuitive norms and regulations, making it extremely difficult and economically unviable to apply experimental techniques, materials, and approaches in real-world projects. In this context, the Real-world Laboratories model has great potential to drive innovation in the planning disciplines through new inter- and transdisciplinary approaches that can integrate actors from civil society at an early stage, thus anchoring newly produced knowledge and innovation in society. Universities are well placed to initiate and drive such processes. Especially in architecture training, projects with a strong link to real contexts, actors, and materials allow learners to access new understandings of how planning processes can function. By working on eye level with clients, administrators, lawmakers and those from other disciplines, a new blueprint for real practice can be developed. This paper analyses the characteristics of the Real-world Laboratory method specifically for the building sector. Principles to successfully implement the method in practice are derived from a series of transdisciplinary projects undertaken as part of the research, practice and teaching at Natural Building Lab, TU Berlin.
Does energy retrofitting pay off? An analysis of German multifamily building data
Authors: Groh A , Kuhlwein H , Bienert S 
Published: September 2022

Abstract
Several studies have investigated the relationship between the energy performance of buildings and housing prices. First, this paper identifies a price premium for energy efficiency within the German rental market. Then, the generated price differences and associated marginal benefits are compared to the marginal costs of energy retrofits. An extensive database of Germany’s largest online platform for housing over a time span from 2016 to 2020 is used in a hedonic regression approach. Additionally, to extract the marginal costs of energy consumption abatement, a dataset of 1.048 rental units regarding green-retrofit measures is utilized. While a significant green premium is identified in the rental market, the findings suggest that it is not high enough to compensate landlords for the money they have to spend to retrofit. The marginal costs exceed the marginal benefits by far. Furthermore, it is found that the German government’s recent plans to split the CO2 tax between landlords and tenants does not change this because the price per metric ton of carbon is insufficiently high. The findings can help both tenants and landlords in their decision-making, as well as policy makers in the implementation of decarbonization efforts.
Reducing the carbon footprint of municipal infrastructures
Authors: Kytzia S , Brändli H 
Published: September 2022

Abstract
Developers of municipal infrastructures have focused so far mainly on the operation of infrastructure networks (e.g. roads) or facilities (e.g. district heating facilities) and their impacts on climate change. Only recently, the focus shifts to optimizing CO2 emissions embodied in building materials and caused by processes and transports related to construction, maintenance, overhaul and renewal of civil engineering works. The European standard EN 15643-5:2017 provides specific principles and requirements for the assessment of their environmental performance and a new standard for calculation methods will be published in 2022 including an assessment of embodied C02 emissions. But, how can this information be used to systematically reduce the carbon footprint for municipal infrastructures? In an ongoing research project, we want to answer this question and develop a management cycle for optimizing the carbon footprint of municipal infrastructures. In a first step, we used expert interviews with infrastructure operators, planers and builders focusing on roads to define use cases where information on embodied CO2 emissions is needed. In a second step, we studied construction projects (completed in the past) to analyze data availability at different stages of the planning process. Based on our preliminary results, a management cycle should include the following four use cases for using information on embodied CO2 emissions for decision support. First, it should be used for monitoring of infrastructure networks (as part of scope 3 accounting for operators). Second, it supports priority setting for renewal and overhaul planning when used to analyse representative project portfolios. And, it will help developing project specific benchmarks for optimization at early design stages as well as before public tender. In the next step of our project, we will adapt existing calculation methods in collaboration with operators of municipal road networks to meet information requirements in the identified use cases.
The Methods of Deep Learning and Big Data Analysis in Promoting Sustainable Architecture
Authors: Yazdi H , Vukorep I , Bazazzadeh H 
Published: September 2022

Abstract
These days, sustainability in different aspects has been among the main discussions of architecture and building science. At the same time, historic architecture has evolved over centuries and has adapted to environmental conditions, it can be a great source of inspiration in using smart ways to achieve sustainable architecture. A good illustration of this adaptation can be found in using vernacular materials, the spatial configuration according to climate conditions, and different elements of historic architecture that have helped to improve the occupant’s comfort. In response, one plausible solution for improving the sustainability of architecture is translating the concept of the sustainable elements and features of historic architecture to be used in contemporary architecture. Therefore, these elements need to be studied thoroughly to comprehend their features and characters. There are several studies, investigating sustainable historic architecture to find and measure sustainable solutions by using conventional methods. Although the accuracy of studying the sustainable historic elements has been fairly high, the number of features and variety of these elements in historic architecture have made this task highly challenging. It has been suggested to study and evaluate a considerable number of these elements in different historic architecture to reduce the errors and increase the reliability of results. Since the conventional methods are labor-intensive, time-consuming, and costly, this paper proposed a robust AI method to study the sustainable elements of historic architecture by using Deep Learning. In this study, by introducing and developing a new method for detecting sustainable elements in historic architecture, their features were comprehensively extracted by means of mining meaningful data from areal images of historic cities to produce big data. The proposed method has a sophisticated workflow starting from subdividing the High-Resolution Aerial Images to detecting the sustainable elements and using data science to analyze the extracted features of the segmented objects. Results of a sample analysis of this method showed its high accuracy and its applicability in analyzing sustainable elements of historic architecture, by which designers are expected to design more sustainable buildings inspired by historic architecture.
Methods for In-Silico Environmental Resilience, 2018 to 2100
Authors: Spiegelhalter T , Werner L C 
Published: September 2022

Abstract
The research focuses on Genetic Water-Energy-Food Nexus Design Research Scenarios for Miami’s Greater Islands. The Paris Agreement - 21st international Conference of Parties (COP 21) to the United Nations Framework Convention on Climate Change (UNFCCC) supports professional and municipal architecture and urban design practice emphasizing greenhouse gas reductions and carbon-neutral city planning and operations. In this respect, Miami benefits through multiple large-scale grants focusing on strategic solutions to combat and adapt to the effects of global warming, sea-level rise, flooding, hurricane impacts, and salt-water intrusion [1]. This paper presents research findings funded by a four-year transdisciplinary research project CRUNCH by EU agencies and the US-National Science Foundation in partnership with nineteen partners from six countries. It illuminates two transdisciplinary methods to produce bio-inspired infrastructural, architectural, and urban scale scenarios from 2018 to 2100. The silico-oriented research location is in Miami, proposing a trans-locational application envisaged in Berlin. The first method is based on parametric-algorithmic, generative design research workflows. The second utilizes synthetic biology through bio-scripting in collaboration with Autodesk. Both methods merge through the integration of cloud-based artificial intelligence and machine learning simulation engines. The research goals are to support international governments regarding sustainability master plans, and secondly, to raise and increase awareness towards urgent and societal relevant resilience topics for the future of human habitats. Scenario simulations are generated by the Florida International University (FIU) Miami research team at the Urban Living Lab (ULL), the GIS department, and two coastal cities in Miami Dade with low-lying areas. The ULL’s research sectors include green-blue infrastructures to combat sea-level rise, synthetic biology scripting, robotic urban farming, local food production and hydroponics, mixed renewable energy design. In addition, and carbon-neutral power generation with adaptive infrastructure projects that support the local and regional Food-Energy-Water Nexus.
Analysis of Sustainable Urban Landscape in Karawang HSR Station Area
Authors: Herdini H R , Gamal A , Hadi A 
Published: September 2022

Abstract
This research presents a qualitative study that examined the sustainable urban landscape based on the land value aspect by mapping the potentials of an area in the land value by synthesizing the results of a theory on specific factors that affect land values in examining the spatial direction of land value determination by mapping the potentials of an area of land value. This study looks from a different perspective. In previous studies, it was seen how land use could change prices, but in this study, it is more seen how land value maps can also map the spatial changes of a city. Future researchers are encouraged to confirm the results of this finding in quantitative research that links the determinants of land value which can be later used to calculate the value of vacant lands.
Ecotourism to improve the quality of Deli riverscape, Medan City, North Sumatra, Indonesia
Authors: Abus Achdial Farhan , Lubis Tasnim , Saputra Nanda , Delima Delima 
Published: September 2022

Abstract
The research objective was to propose the Deli riverscape concept through ecotourism. The data were collected by doing depth-interview and participant observation. The anthropology of landscape approach was implied in this study to analyze the spatial concept in Deli riverscape toward building ecotourism. The planning stages were survey, data inventory, data analysis, synthesis, and riverscape concept. The result of this study was the basic concepts of ecotourism development, which were realized in the form of the Deli riverscape. The riverscape concept consists of spatial planning, green planning, circulation, facilities and utilities, and activity. It indicated the need for local community participation in ecotourism through environmental management activities in waste processing. In addition, there is a need for tree planting, which is a social activity in presenting spaces for ecotourism. There is a straight line between Deli riverscape formed and improvement riverscape quality for ecotourism development. It can be concluded that there are four infrastructure developments, namely the main tourist space, supporting space, primary circulation path, and secondary circulation zone.
Urban community perception on social vulnerability to disaster: the case of Bukit Antarabangsa, Malaysia
Authors: Kamarudin K H , Razak K A , Motoyama E 
Published: September 2022

Abstract
This article aims to determine the perception of urban communities living in Bukit Antarabangsa regarding the issue of social vulnerability (SV) to landslide and landslide-related disasters. Bukit Antarabangsa is widely known as one of the highly urbanized areas near the metropolitan of Kuala Lumpur which are highly susceptible to landslides. Few communities which currently under the SeDAR project (i.e., a join-community-based disaster risk reduction/CBDRR program between Selangor State Disaster Management Centre – JICA – Local NGO: SlopeWatch Bukit Antarabangsa) were selected as a case study. Focus Group Discussion (FGD) and household surveys were conducted during Conditional Movement Order (CMCO) on March 27th 2021 and April 11th 2021 to gather relevant information on the researched topic. The questionnaire for the survey was formulated based on the proposed detailed list of SV components, indicators, sub-indicators and weightage which was derived from a review of the literature and internal consultation among disaster experts. The data analysis process in this study served to achieve the objective of social and economic vulnerability assessment in general based on the usage of sub-indicators to point out the score value and level of performance of each sub-indicator based on the survey of local stakeholders. Results from data analysis were translated into spatial context through the production of an SV map of the study area. In summary, the integrated approach to the assessment of SV involving data analysis and mapping/spatial representation has offered some valuable insights towards strengthening local community resilient to disaster and should be considered for inclusion into the establishment of a long-term community-based disaster risk reduction (CBDRR) planning and assessment, and in formulating DRR strategies at local and/or municipal context.
Sustainable Development Goals (SDGs) and the Emergence of Creative Cities in Indonesia: Comparative Studies from Pekalongan, Yogyakarta, and Surakarta During the Covid-19 Pandemic
Authors: Nugroho Prihadi , Artiningsih Artiningsih , Tyas Wido Prananing , Asyifa Ikrima 
Published: September 2022

Abstract
As a global platform, the United Nations’ Sustainable Development Goals (SDGs) have reinforced country’s institutional capacity to meet the international standard compliance. Creative city concept is one among those linking the SDGs targeting agenda to the local development policy. This study investigates if the implementation of creative city concept may succeed the fulfilment of SDGs targets. We selected three cities in Indonesia for comparative study: Pekalongan, Yogyakarta, and Surakarta. Our observation completed during the Covid-19 pandemic in 2020. We combined targeted questionnaire to academics, business, community, and government (ABCG) stakeholders with content analysis of the government publications and regulations. The result shows that Pekalongan City Government has managed well in actualising creative city concept from the policymaking to program implementation. The Yogyakarta City Government seems inconvenience in specifying targeted creative industry to promote local economy. For the Surakarta case, the targeted creative industry has little support in the local development policy. Lack of institutional capacity and trained staffs might be the main reasons for slow implementation of these ideas into local government context. Consequently, creative city concept and SDGs agenda are more favoured as a short- to medium-term project rather than a long-lasting city development vision.
The Changes in Public Spaces Usages for Performing Arts Sector After Covid-19 Disruption in Surakarta, Indonesia
Authors: Khofifah Ainun , Werdiningtyas Ratri , Kusumastuti Kusumastuti 
Published: September 2022

Abstract
The existence of a public space enables all creative actors in the world to arrange performing arts activities at the local, national, and international levels. However, the Covid-19 pandemic has impacted the capability of the communities to interact with each other, changing the public space requirements of different types of performing art. This article is aimed to identify the differences between public spaces’ usages for the performing arts sector before and after the pandemic Covid-19. In this research, Surakarta is chosen as the study case as it is one of the creative cities which is dependent on performing arts sectors. The determination of interviewees is done through the purposive sampling technique to find stakeholders as representatives that know well about the performing art sector in Surakarta. Through content analysis of the stakeholder perspectives, we identify the change in public space usage in promoting each type of performing art in Surakarta. We found that there are new parameters in determining the use of public space for the performing arts: the area, the scale of the public space, and the public space design. These three new parameters explain the different public space capacities in Surakarta to promote performing arts in Surakarta. Thus, the present work can be used to understand more what is needed to make public space reliable to adapt to the new normal era.
The Vlasov–Poisson–Landau system in the weakly collisional regime
Authors: Chaturvedi Sanchit , Luk Jonathan , Nguyen Toan 
Published: September 2022

Consider the Vlasov–Poisson–Landau system with Coulomb potential in the weakly collisional regime on a

3
3

-torus, i.e.

∂
t

F
(
t
,
x
,
v
)
+

v
i

∂

x
i

F
(
t
,
x
,
v
)
+

E
i

(
t
,
x
)

∂

v
i

F
(
t
,
x
,
v
)
=
ν
Q
(
F
,
F
)
(
t
,
x
,
v
)
,

E
(
t
,
x
)
=
∇

Δ

−
1

(

∫

R

3

F
(
t
,
x
,
v
)

d

v
−

∫

−

T

3

∫

R

3

F
(
t
,
x
,
v
)

d

v

d

x
)
,

\begin{align*} \partial _t F(t,x,v) + v_i \partial _{x_i} F(t,x,v) + E_i(t,x) \partial _{v_i} F(t,x,v) = \nu Q(F,F)(t,x,v),\\ E(t,x) = \nabla \Delta ^{-1} (\int _{\mathbb R^3} F(t,x,v)\, \mathrm {d} v - {{\int }\llap {-}}_{\mathbb T^3} \int _{\mathbb R^3} F(t,x,v)\, \mathrm {d} v \, \mathrm {d} x), \end{align*}

with

ν
≪
1

\nu \ll 1

. We prove that for

ϵ
>
0

\epsilon >0

sufficiently small (but independent of

ν
\nu

), initial data which are

O
(
ϵ

ν

1

/

3

)

O(\epsilon \nu ^{1/3})

-Sobolev space perturbations from the global Maxwellians lead to global-in-time solutions which converge to the global Maxwellians as

t
→
∞

t\to \infty

. The solutions exhibit uniform-in-

ν
\nu

Landau damping and enhanced dissipation.

Our main result is analogous to an earlier result of Bedrossian for the Vlasov–Poisson–Fokker–Planck equation with the same threshold. However, unlike in the Fokker–Planck case, the linear operator cannot be inverted explicitly due to the complexity of the Landau collision operator. For this reason, we develop an energy-based framework, which combines Guo’s weighted energy method with the hypocoercive energy method and the commuting vector field method. The proof also relies on pointwise resolvent estimates for the linearized density equation.
The non-arithmetic cusped hyperbolic 3-orbifold of minimal volume
Authors: Drewitz Simon , Kellerhals Ruth 
Published: September 2022

We show that the 1-cusped quotient of the hyperbolic space

H

3

\mathbb {H}^3

by the tetrahedral Coxeter group

Γ
∗

=
[
5
,
3
,
6
]

\Gamma _*=[5,3,6]

has minimal volume among all non-arithmetic cusped hyperbolic 3-orbifolds, and as such it is uniquely determined. Furthermore, the lattice

Γ
∗

\Gamma _*

is incommensurable to any Gromov-Piatetski-Shapiro type lattice. Our methods have their origin in the work of C. Adams [J. Differential Geom. 34 (1991), pp. 115–141; Noncompact hyperbolic 3-orbifolds of small volume, de Gruyter, Berlin, 1992]. We extend considerably this approach via the geometry of the underlying horoball configuration induced by a cusp.
Revisiting US Undergraduate Perceptions of Non-native English Varieties: From Millennials to Generation Z
Authors: Isbell Daniel R , Crowther Dustin 
Published: September 2022

Abstract
As the global importance of English and its proportion of non-native speakers have continued to grow, research on Global Englishes has prioritized non-native speakers’ changing attitudes toward non-native varieties. To investigate changes in attitudes among ‘Inner Circle’ English speakers, we conceptually replicated Lindemann’s (2005) survey of Millennial US undergraduates’ attitudes toward global English varieties with a sample of Generation Z undergraduates (n = 216). This study also sought to bridge research on attitudes toward English varieties with research on judgments of English speech by including a speech rating task featuring six speakers of different global English varieties. In comparison with Lindemann’s Millennials, Generation Z had less favorable attitudes toward their own US English and generally more positive orientations to non-native Englishes. Nonetheless, Generation Z had similar conceptions of where English is spoken well and with pleasant accents, and where English is spoken poorly and unpleasantly. Participants’ attitudes toward global English varieties were positively and modestly associated with the ratings provided to individual speakers of the same variety.
Gene flow biases population genetic inference of recombination rate
Authors: Samuk Kieran , Noor Mohamed A F 
Published: September 2022

AbstractAccurate estimates of the rate of recombination are key to understanding a host of evolutionary processes as well as the evolution of the recombination rate itself. Model-based population genetic methods that infer recombination rates from patterns of linkage disequilibrium in the genome have become a popular method to estimate rates of recombination. However, these linkage disequilibrium-based methods make a variety of simplifying assumptions about the populations of interest that are often not met in natural populations. One such assumption is the absence of gene flow from other populations. Here, we use forward-time population genetic simulations of isolation-with-migration scenarios to explore how gene flow affects the accuracy of linkage disequilibrium-based estimators of recombination rate. We find that moderate levels of gene flow can result in either the overestimation or underestimation of recombination rates by up to 20–50% depending on the timing of divergence. We also find that these biases can affect the detection of interpopulation differences in recombination rate, causing both false positives and false negatives depending on the scenario. We discuss future possibilities for mitigating these biases and recommend that investigators exercise caution and confirm that their study populations meet assumptions before deploying these methods.