Projects / Programmes
Data integration framework for the assessments of the sustainable efficiency in Slovene neighbourhoods and settlements
Code |
Science |
Field |
Subfield |
5.12.01 |
Social sciences |
Architecture and Design |
Architecture |
Code |
Science |
Field |
T240 |
Technological sciences |
Architecture, interior design |
Code |
Science |
Field |
6.04 |
Humanities |
Arts (arts, history of arts, performing arts, music) |
spatial data, data integration, neighborhood, sustainability assessment, data reuse
Researchers (9)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
28364 |
PhD Miha Janež |
Computer science and informatics |
Researcher |
2019 - 2023 |
31 |
2. |
26562 |
PhD Matevž Juvančič |
Urbanism |
Researcher |
2019 - 2023 |
140 |
3. |
21404 |
PhD Iztok Lebar Bajec |
Computer science and informatics |
Researcher |
2019 - 2023 |
192 |
4. |
29198 |
PhD Miha Moškon |
Computer science and informatics |
Researcher |
2019 - 2023 |
258 |
5. |
30757 |
PhD Simon Petrovčič |
Architecture and Design |
Researcher |
2019 - 2023 |
79 |
6. |
52244 |
Žiga Pušnik |
Computer science and informatics |
Researcher |
2019 - 2023 |
34 |
7. |
15062 |
PhD Matija Svetina |
Psychology |
Researcher |
2019 - 2022 |
354 |
8. |
29390 |
PhD Špela Verovšek |
Urbanism |
Researcher |
2019 - 2023 |
98 |
9. |
12101 |
PhD Tadeja Zupančič |
Architecture and Design |
Head |
2019 - 2023 |
453 |
Organisations (3)
Abstract
This research project proposes novel methodologies to support integration, optimisation, and reuse of neighbourhood-scale data for sustainability and quality assessment of Slovenian neighbourhoods and settlements. It pursues the aim of bringing a typical Slovenian functional settlement unit – neighbourhood - up to the sustainability standards through renewal and refurbishment. The project follows up on the findings of our recent research where relevant sustainability metrics and neighbourhood performance index were established. The proposal not only furthers and builds on our previous research but also addresses a new, crucial line of enquiry – data integration – of which the lack-of was found to be the fundamental and persistent hurdle in the pursue of data-supported decision making.
Research on the relations between neighborhood (form, organization and community) and sustainability targets has increased substantially in recent years, to assure more sustainable and livable living environments. Considering the current building trend, 80% of the European and Slovenian dwelling stock in 2050 is already built today, with a majority of it being energy inefficient, environmentally aggravating and often quality-deficient, or designed under the principles not adequate to what we nowadays consider sustainable. Therefore, the question of the quality and sustainability optimization of the existing neighborhoods proved to be especially relevant; however it also requires a more advanced approach in the assessment, monitoring and benchmarking of the existing neighbourhoods’ settings.
Despite the great relevance, current tendencies in the field show, we possess little knowledge and research conducted to translate the crucial on-going phenomena into a useful information to inform the strategic decisions on priorities in gradual renewal of settlements and their components.
The special challenge of neighbourhood scale is that it brings (in comparison to the building scale) a significant heterogeneity and levels of data to be processed. Aforementioned fact, coupled with the sporadic data gathering that is not institutionalized at/for this level, aggravate the issues related to data availability and inoperability. The rising complexity of the intertwined spatial variables can be nowadays coupled with an increasing amount of gathered data that reflect urban system’s performance as well as pertinent characteristics and phenomena. In particular, national and municipality-related institutions create and operate datasets based on specific purposes. This results in discrete and incompatible records, disconnected time series, reciprocally incompatible data queries, characterized by diverse data models and storage structures. Integration and processing of data (for the purpose of sustainability and quality assessments) are currently most often performed in a manual fashion, hence requiring great amounts of time and effort, while also increasing the risk of errors and subjectivity. Second, the diversity of reliable available records for specific relevant domains and within certain spatial scales is often very limited. Third, most of the current assessment models evaluate the sustainability rate mostly based on either well measurable parameters or from data-abundant records. In effect, this means that final scores reflect not necessarily the essential criteria but rather those that are well data-covered or well quantifiable, resulting in unbalanced monitoring.
Thus, the proposed research project progresses and builds on Slovenia’s emerging urban analytics with innovative IT support. The main objective is to develop new methods that support, extend, and upgrade the current monitoring and assessment protocols that further allow for more integrated, more automated and to higher extent modular structure of the data (re)use and parameters for assessing neighbourhoods’ sustainability and quality rate.
Significance for science
The research complies with the priority areas and goals (see also chapter 11.4) of the current European efficiency agendas. The results contribute to measurable and replicable resource-efficiency solutions by documenting baseline use and progress observed, through standard indicators and appropriate data collection, formats and sharing. The project outcomes well contribute to the strategies of data reuse, which currently being one of the most perennial topics in the current state data overloads. Smart reuse of the existing data is strongly in line with the current tendencies towards rationalization of the evaluation process. The results’ impact is indicated also in the emphasised modularity of the envisioned assessment methodologies. Data modules that make up the assessment framework can be interchangeably replaced by substitutional modules when certain data sets are unavailable. Consequently, the envisioned methods cope with the most critical issues in this domain and make it easier and more cost effective to identify segments of high and low sustainability performances, and thus, guide urban diagnostics, responsive policies as well as prioritize smart investments.
By making adjustments and using new way of spatial data acquisition and presentation through crowd-sourcing and collective sensing the professional and scientific sphere is giving residents and citizens an applicable role, expanding their spatial literacy (educational aspect) encouraging the development of responsive and responsible communities and expanding scientific knowledge in a non-technical manner. Through this, we are concluding a cycle from society through scientific research back to society with the motto: science for society.
In the light of architecture and urban practices the project at hand contributes to expanding expertise in evaluating and assessing the built environment as a whole and analytically, in relation to its individual parts. The revision of the elements and spatial qualities in the built environment (level of neighbourhoods) adds new knowledge to the dynamics into the stock of knowledge, especially in terms of locally traceable and observable phenomena that include human behaviour/activities and attitudes towards actual living environments (everyday interactions within the living neighbourhood and community). Further, the majority of the existing efforts promote a specific type of urban development that effectively excludes renewal interventions from the urban sustainability conversation. Given that the cities in Europe and Slovenia are mostly built, it is argued that urban development should be focused internally to address existing, under-serviced communities in particular. Our focus in the proposed project is predominantly the existing neighborhood stock, which reinforces advances the relevance of this research.
Significance for the country
The research complies with the priority areas and goals (see also chapter 11.4) of the current European efficiency agendas. The results contribute to measurable and replicable resource-efficiency solutions by documenting baseline use and progress observed, through standard indicators and appropriate data collection, formats and sharing. The project outcomes well contribute to the strategies of data reuse, which currently being one of the most perennial topics in the current state data overloads. Smart reuse of the existing data is strongly in line with the current tendencies towards rationalization of the evaluation process. The results’ impact is indicated also in the emphasised modularity of the envisioned assessment methodologies. Data modules that make up the assessment framework can be interchangeably replaced by substitutional modules when certain data sets are unavailable. Consequently, the envisioned methods cope with the most critical issues in this domain and make it easier and more cost effective to identify segments of high and low sustainability performances, and thus, guide urban diagnostics, responsive policies as well as prioritize smart investments.
By making adjustments and using new way of spatial data acquisition and presentation through crowd-sourcing and collective sensing the professional and scientific sphere is giving residents and citizens an applicable role, expanding their spatial literacy (educational aspect) encouraging the development of responsive and responsible communities and expanding scientific knowledge in a non-technical manner. Through this, we are concluding a cycle from society through scientific research back to society with the motto: science for society.
In the light of architecture and urban practices the project at hand contributes to expanding expertise in evaluating and assessing the built environment as a whole and analytically, in relation to its individual parts. The revision of the elements and spatial qualities in the built environment (level of neighbourhoods) adds new knowledge to the dynamics into the stock of knowledge, especially in terms of locally traceable and observable phenomena that include human behaviour/activities and attitudes towards actual living environments (everyday interactions within the living neighbourhood and community). Further, the majority of the existing efforts promote a specific type of urban development that effectively excludes renewal interventions from the urban sustainability conversation. Given that the cities in Europe and Slovenia are mostly built, it is argued that urban development should be focused internally to address existing, under-serviced communities in particular. Our focus in the proposed project is predominantly the existing neighborhood stock, which reinforces advances the relevance of this research.
Most important scientific results
Interim report
Most important socioeconomically and culturally relevant results
Interim report