References of "Teller, Jacques"
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See detailProcedural generation of flood-sensitive urban layouts
Mustafa, Ahmed Mohamed El Saeid ULiege; Zhang, Xiao Wei; Aliaga et al

in Environment and Planning B: Urban Analytics and City Science (in press)

Aside from modeling geometric shape, three-dimensional (3D) urban procedural modeling has shown its value in understanding, predicting and/or controlling effects of shape on design and urban planning. In ... [more ▼]

Aside from modeling geometric shape, three-dimensional (3D) urban procedural modeling has shown its value in understanding, predicting and/or controlling effects of shape on design and urban planning. In this paper, instead of the construction of flood resistant measures, we create a procedural generation system for designing urban layouts that passively reduce water depth during a flooding scenario. Our tool enables exploring designs that passively lower flood depth everywhere or mostly in chosen key areas. Our approach tightly integrates a hydraulic model and a parameterized urban generation system with an optimization engine so as to find the least cost modification to an initial urban layout design. Further, due to the computational cost of a fluid simulation, we train neural networks to assist with accelerating the design process. We have applied our system to several real-world locations and have obtained improved 3D urban models in just a few seconds. [less ▲]

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See detailChallenges of water and sanitation service co-production in the global South
Moretto, Luisa; Faldi, Giuseppe; Ranzato, Marco et al

in Environment and Urbanization (in press)

Co-production of water and sanitation services, especially in the global South, implies that recipients of a service play a fundamental role in managing water resources. In the context of ... [more ▼]

Co-production of water and sanitation services, especially in the global South, implies that recipients of a service play a fundamental role in managing water resources. In the context of citizen–government synergies, service recipients are more than consumers, and (co)-production alters their involvement in the service production process, with respect to their relationships with both the natural resources and the delivery process. Our hypothesis is that a meaningful understanding of co- production for water and sanitation services is only possible through an interdisciplinary approach that takes into account natural and social dimensions. The objective is to develop a possible new conceptualization of service co-production that can foster a renewed citizenship while taking into account the risks of urban fragmentation. [less ▲]

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See detailClaiming a role for controversies in the framing of local heritage values
Ginzarly, Manal ULiege; Farah, Jihad; Teller, Jacques ULiege

in Habitat International (2019)

This study focuses on the role of controversies in heritage management, considering more specifically cities characterized by tensions between community groups. In such cities, the regulatory and ... [more ▼]

This study focuses on the role of controversies in heritage management, considering more specifically cities characterized by tensions between community groups. In such cities, the regulatory and institutional systems are challenged by highly structured community-based initiatives and organizations. Using an analytical framework that assesses the regulatory system, urban conservation, and development practices, we compared two heritage management projects in Tripoli (Lebanon). Our results highlight the dichotomy between decision makers’ and communities’ approaches to the definition and management of heritage and to the struggle over the use of public spaces to reclaim heritage values. The discussion highlights how controversies emerge from the physical assets that are claimed as heritage, the range of values associated with tangible assets, and how local communities may coproduce heritage knowledge and actively contribute to the democratization of heritage values. [less ▲]

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See detailStatistical life cycle assessment of residential buildings in a temperate climate of northern part of Europe
Kameni Nematchoua, Modeste ULiege; Teller, Jacques ULiege; Reiter, Sigrid ULiege

in Journal of Cleaner Production (2019), 229(Winter),

Nowadays, with the new technology, the explosion of new products and the implementation of the new construction rules, it is important to evaluate the effect of the strong human pressure on nature. Thus ... [more ▼]

Nowadays, with the new technology, the explosion of new products and the implementation of the new construction rules, it is important to evaluate the effect of the strong human pressure on nature. Thus, the analysis of the life cycle of a product (i.e., building) makes it possible to evaluate its main environmental impacts (energy demand, greenhouse gas emissions, product waste, water consumption, etc.) from raw materials manufacturing to its end of life (demolition).The purpose of this research is to carryout a meticulous statistical analysis aimed to better understand and to discern better the impact of sustainable buildings and old buildings on the environment. In addition, this research identifies the main elements that affect the environment during the construction, operation, renovation, and demolition of buildings.59 residences were analyzed (29 durable residences and 30 old residences), distributed in two districts of the Liege city. Several software tools were used(IBM SPSS statistical, ALCYONE, COMFIE-PLEIADES, and nova-EQUER) to statistically evaluate the 12 environmental impacts considered in this study .The results showed that the impacts of sustainable buildings and old buildings on the environment are very significant. Despite that, it is difficult to identify a clear difference between the environmentalimpact from old and sustainable buildings .The total lifecycle greenhouse gas(LCGHG) and energy of the whole the residential buildings represents 17.225 ktCO2-e and 362.8TJ, respectively, over 100 years. The building operation phase (or use phase) consume significant amount of life cycle energy (from 81.0 to 94.3%), but also, the largest contribution to the life cycle greenhouse gas (between 75.6% and 91.3%). [less ▲]

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See detailColour in the city: a chromatic typology for the quantitative analysis of spatial coherence
Nguyen, Ngoc Luan ULiege; Embrechts, Jean-Jacques ULiege; Teller, Jacques ULiege

in Landscape Research (2019)

This paper presents the implementation of a tool that can be used to characterise chromatic attributes of an urban area. The challenge is to provide statistical and quantitative answers to these questions ... [more ▼]

This paper presents the implementation of a tool that can be used to characterise chromatic attributes of an urban area. The challenge is to provide statistical and quantitative answers to these questions: how is colour organised, how does it develop its own structure in the city? How can colour appear as an indicator of homogeneity and spatial coherence? We use a K-means statistical clustering technique to produce chromatic types of building façades. Once the chromatic catégories are defined, the question of spatial coherence is investigated using the Shannon entropy value as an indicator. Our method was tested through an application to 18 urban fragments of the city of Liège (Belgium). The research highlights the differences between compact urban areas (historic centre, nineteenth century developments) and new urban configurations (city entrances, commercial and peri-urban zones). [less ▲]

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See detailL’accessibilité spatiale comme indice de fragmentation urbaine dans les villes coloniales. Le cas de la ville d’Annaba
Laouar, Dounia; Mazouz, Said; Teller, Jacques ULiege

in Cybergeo: Revue Européenne de Géographie (2019)

La morphologie des villes coloniales au Maghreb se caractérise par certaines similarités liées à leur histoire commune. On y trouve une Médina, ayant souvent subi quelques altérations, une ville coloniale ... [more ▼]

La morphologie des villes coloniales au Maghreb se caractérise par certaines similarités liées à leur histoire commune. On y trouve une Médina, ayant souvent subi quelques altérations, une ville coloniale établie selon un tracé haussmannien, et des extensions nouvelles constituées de grands ensembles. Cette agrégation de trois types de tissus urbains bien distincts contribue au caractère discontinu et fragmenté de ces villes. Notre étude vise à analyser cette configuration urbaine dans le contexte spécifique d’une ville algérienne, la ville d’Annaba (située dans l’Est algérien), en termes d’accessibilité spatiale. Notre objectif sera d’évaluer le degré de fermeture et d’ouverture des différentes parties de la ville. Cette analyse de l’accessibilité est basée sur la méthode de la Space Syntax et exploite les indicateurs suivants : l’intégration spatiale, l’intelligibilité, et la contrôlabilité. Nous avons également introduit un paramètre d’observation lié aux flux piétons, afin de confronter notre lecture du rapport de la configuration spatiale à celle de la coprésence dans l’espace public. [less ▲]

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See detailInvestigating the Impact of Urban Layout Geometry on Urban Flooding
Mustafa, Ahmed Mohamed El Saeid ULiege; Zhang, Xiao Wei; Aliaga, Daniel G. et al

in Proceedings of GEOProcessing 2019 (2019)

In this paper, we use a procedural generation system to design urban layouts that passively reduce water depth during urban floods. The tool enables designing cities that passively lower flood depth ... [more ▼]

In this paper, we use a procedural generation system to design urban layouts that passively reduce water depth during urban floods. The tool enables designing cities that passively lower flood depth everywhere or in chosen key areas. Our approach integrates a porosity-based hydraulic model and a parameterized urban generation system with an optimization engine so as to find the least cost modification to an initial urban layout. In order to investigate the relationship between urban layout design parameters and flood inundation depth, correlation coefficient method is used. This paper concludes that the most influential urban layout parameters are average road length and the mean parcel area. Keywords-inverse procedural modeling; urban layout design; porosity-based hydraulic model; Pearson correlation; urban flooding. [less ▲]

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See detailSmart City appropriation by local actors: An instrument in the making
Desdemoustier, Jonathan ULiege; Crutzen, Nathalie ULiege; Cools, Mario ULiege et al

in Cities (2019), 92

The Smart City became a dominant discourse as a new approach to mitigate and remedy to current urban and societal problems. Numerous cities are engaged in a Smart City process to address their local ... [more ▼]

The Smart City became a dominant discourse as a new approach to mitigate and remedy to current urban and societal problems. Numerous cities are engaged in a Smart City process to address their local challenges. But different actor’s appropriations and styles of implementation produce particular territorial and societal developments. This paper questions in an innovative way the actors’ appropriation of the Smart City: the phenomenon is considered as an instrument, following the theory of Lascoumes and Le Galès (2007). On basis of an online survey with 193 Belgian respondents, the results of several statistical treatments validate an appropriation of the Smart City between a public policy instrument in one side and a functional instrument in the other side. But across the five categories of actors (Elected politician (1), administrations and public organizations (2), private companies (3), research centers & universities (4) and associations (5)), the Belgian respondents do not fit into one or the other instrument in a monolithic way. The actor’s appropriation does not follow a homogeneous trend based on a technical and holistic direction, like it is represented in the literature. [less ▲]

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See detailAutomatic design of flood-resilient urban layouts
Dewals, Benjamin ULiege; Mustafa, Ahmed Mohamed El Saeid ULiege; Bruwier, Martin ULiege et al

in Geophysical Research Abstracts (2019)

Urban planning is central to flood risk prevention. Flood-sensitive urban planning pursues two goals: reducing flood exposure and vulnerability [1]; but also addressing the influence of urban ... [more ▼]

Urban planning is central to flood risk prevention. Flood-sensitive urban planning pursues two goals: reducing flood exposure and vulnerability [1]; but also addressing the influence of urban characteristics on flood flow severity (flow depths and velocities) [2]. Focusing on the latter, we present here a unique software which automatically optimizes the geometry of urban layouts to enhance flood resilience [3]. The optimized parameters describe the arrangement of the road network, the blocks, the parcels, and the buildings. The proposed approach is particularly innovative since, so far, such automatic urban design tools were developed only for totally different objectives (e.g. optimizing sun exposure or distance to parks); but not in the context of flood risk management. Our automatic urban design system consists of three components: (i) a procedural urban model, (ii) a surrogate for a hydraulic model and (iii) an optimization engine. • Starting from a set of input parameters pi (typical road length, width, curvature …) the procedural urban model generates urban layouts which mimic fairly realistically real-world urban patterns [3]. • To achieve interactive feedback (i.e. getting the results within a few seconds), the system uses a neural network (NN) to approximate the relationship between urban layout and flood flow characteristics. The NN was trained using a relatively fast 2D porosity-based hydraulic model [4], which in turn was calibrated against a detailed shallow-water model [2]. • A Markov Chain Monte Carlo optimization is used to adjust iteratively the procedural model parameters pi so as to yield the desired urban layout. The system was tested for optimizing the layout of an urban district of 1 km by 1 km subject to river flooding. The system runs about one minute to find the optimal urban layout. The system tends to improve the flow conveyance through the urban area by increasing the voids in-between the buildings (e.g., increase road width) and by promoting a more “fragmented” urban pattern (e.g., decrease road length). The optimization reduces the flood water depths in the district by up to 20 to 25%. Several real-world examples showcase the operationality of the system for improving flood resilience through flood-sensitive urban design [3]. In practice, such an interactive digital tool can valuably assist urban planners and architects to assess the implications of various design decisions on flooding and end up with improved flood-sensitive urban layouts. The approach should be further developed to accommodate more diverse flooding scenarios (e.g. pluvial floods, coastal floods, etc.). References [1] Mustafa, A. et al. (2018). Effects of spatial planning on future flood risks in urban environments. J. Environ. Manage. 225, 193–204. [2] Bruwier, M. et al. (2018). Influence of urban pattern on inundation flow in floodplains of lowland rivers. Sci. Total Environ. 622-623, 446–458. [3] Mustafa, A. et al. (2019). Procedural Generation of Flood-Sensitive Urban Layouts. Environ Plan B Urban Anal City Sci. In press. [4] Bruwier, M. et al. (2017). Shallow-water models with anisotropic porosity and merging for flood modelling on Cartesian grids. J. Hydrol. 554, C, 693–709. [less ▲]

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See detailThe Historic Urban Landscape approach to urban management: a systematic review
Ginzarly, Manal ULiege; Houbart, Claudine ULiege; Teller, Jacques ULiege

in International Journal of Heritage Studies (2019)

In 2011, UNESCO adopted the Historic Urban Landscape (HUL) recommendation and called for the application of a landscape approach to ensure the integration of cultural heritage policies and management ... [more ▼]

In 2011, UNESCO adopted the Historic Urban Landscape (HUL) recommendation and called for the application of a landscape approach to ensure the integration of cultural heritage policies and management concerns in the wider goals of sustainable urban development. This paper tracks the genesis of a landscape approach to heritage conservation, and then presents a systematic review of the literature on the HUL. More than 100 publications from 2010 to early 2018 were analysed. The applied methodology combined an inductive categorization method with a deductive data mining method. The objective is to determine whether the academic discussion is addressing the different dimensions of the HUL approach, including the holistic, integrated, and value-based dimensions, and whether it is progressing through time to move from a conceptual to an operational level. Results show that while the discussion is heavily focused on values, the operationalization of a value-based approach is still lacking, as it is not fully contextualized in relation to local heritage discourses and the dynamics of heritage governance. Results also show that many case studies applications are in “non-Western” cities, thus opening the debate about the accountability of a value-based approach in contexts that tend to be dominated by groups with the most political power, and where conservation practices mainly focus on the mobilization of material heritage to foster its economic value. Nevertheless, the transition from international guidelines to contextualized local endeavours and policies remains a challenge to be solved. [less ▲]

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See detailAn efficient hierarchical model for multi-source information fusion
Saadi, Ismaïl ULiege; Farooq, Bilal; Mustafa, Ahmed Mohamed El Saeid ULiege et al

in Expert Systems with Applications (2018), 110

In urban and transportation research, important information is often scattered over a wide variety of independent datasets which vary in terms of described variables and sampling rates. As activity-travel ... [more ▼]

In urban and transportation research, important information is often scattered over a wide variety of independent datasets which vary in terms of described variables and sampling rates. As activity-travel behavior of people depends particularly on socio-demographics and transport/urban-related variables, there is an increasing need for advanced methods to merge information provided by multiple urban/transport household surveys. In this paper, we propose a hierarchical algorithm based on a Hidden Markov Model (HMM) and an Iterative Proportional Fitting (IPF) procedure to obtain quasi-perfect marginal distributions and accurate multi-variate joint distributions. The model allows for the combination of an unlimited number of datasets. The model is validated on the basis of a synthetic dataset with 1,000,000 observations and 8 categorical variables. The results reveal that the hierarchical model is particularly robust as the deviation between the simulated and observed multivariate joint distributions is extremely small and constant, regardless of the sampling rates and the composition of the datasets in terms of variables included in those datasets. Besides, the presented methodological framework allows for an intelligent merging of multiple data sources. Furthermore, heterogeneity is smoothly incorporated into micro-samples with small sampling rates subjected to potential sampling bias. These aspects are handled simultaneously to build a generalized probabilistic structure from which new observations can be inferred. A major impact in term of expert systems is that the outputs of the hierarchical model (HM) model serve as a basis for a qualitative and quantitative analyses of integrated datasets. [less ▲]

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See detailEffects of spatial planning on future flood risks in urban environments
Mustafa, Ahmed Mohamed El Saeid ULiege; Bruwier, Martin ULiege; Archambeau, Pierre ULiege et al

in Journal of Environmental Management (2018), 225

Urban development may increase the risk of future floods because of local changes in hydrological conditions and an increase in flood exposure that arises from an increasing population and expanding ... [more ▼]

Urban development may increase the risk of future floods because of local changes in hydrological conditions and an increase in flood exposure that arises from an increasing population and expanding infrastructure within flood-prone zones. Existing urban land use change models generally consider the expansion process and do not consider the densification of existing urban areas. In this paper, we simulate 24 possible urbanization scenarios in Wallonia region (Belgium) until 2100. These scenarios are generated using an agent-based model that considers urban expansion and densification as well as development restrictions in flood-prone zones. The extents of inundation and water depths for each scenario are determined by the WOLF 2D hydraulic model for steady floods corresponding to return periods of 25, 50, and 100 years. Our results show that future flood damages and their spatial distributions vary remarkably from one urbanization scenario to another. A spatial planning policy oriented towards strict development control in flood-prone zones leads to a substantial mitigation of the increased flood damage. By contrast, a spatial planning policy exclusively oriented to infill development with no development restrictions in flood-prone zones would be the most detrimental in terms of exposure to flood risk. Our study enables the identification of the most sensitive locations for flood damage related to urban development, which can help in the design of more resilient spatial planning strategies and localize zones with high levels of flood risk for each scenario. [less ▲]

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See detailMapping historic urban landscape values through social media
Ginzarly, Manal ULiege; Pereira Roders, Ana; Teller, Jacques ULiege

in Journal of Cultural Heritage (2018)

Social media provides big data for researchers to perform real-time analytics, as digital ethnographers, on what places and attributes people value in the historic urban landscapes they live or visit ... [more ▼]

Social media provides big data for researchers to perform real-time analytics, as digital ethnographers, on what places and attributes people value in the historic urban landscapes they live or visit, enough to share with their social network. However, the use of these data to further our knowledge on heritage and their values, or to support heritage planning and management is still very limited. This article proposes a methodology for the analysis of viewpoints location-view scenes-tags data for photos posted on Flickr to provide insights into all facets of the perceived landscape character that identifies people-centered heritage at the city level. The analysis visualizes convergence and divergence between locals’ and tourists’ preferences. It also reveals heritage concerns in the context of daily-life practices and everyday landscape, as well as political and religious concerns in post-conflict areas. Additionally, the analysis questions the limits of heritage areas and categories used for identifying cultural values. Results showed that the different analyses complement one another to eventually provide insights into everyday encounters with the historic urban landscape. They also show the difference between experts’ and users’ documentation and characterization languages when defining heritage. When the first apply domain-specific classification models, the latter express personal reflections without following a specific hierarchy or a closed categorical system. It is believed that the outcome can help heritage scholars to further our understanding for the diversity of heritage places and attributes, as well as, heritage professionals, to inform decision-making processes in heritage planning and management on both experts’ and users’ understanding of heritage. [less ▲]

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See detailInvestigating the impact of river floods on travel demand based on an agent-based modeling approach: The case of Liège, Belgium
Saadi, Ismaïl ULiege; El Saeid Mustafa, Ahmed Mohamed ULiege; Teller, Jacques ULiege et al

in Transport Policy (2018), 67

In Belgium, river floods are among the most frequent natural disasters and they may have important consequences on travel demand. In order to better understand how the travel patterns vary, we propose to ... [more ▼]

In Belgium, river floods are among the most frequent natural disasters and they may have important consequences on travel demand. In order to better understand how the travel patterns vary, we propose to set up a large scale scenario based on MATSim for guarantying an accurate assessment of the impact of river floods on the transportation system. As inputs, the current agent-based model requires a base year population. A synthetic population with respective set of attributes is generated as a key input. Afterwards, agents are assigned activity chains through an activity-based generation process. Finally, the synthetic population and the transportation network are integrated into MATSim. Regarding data, households travel surveys, OD matrix of Belgium have been used to set up the demand. For simulating river floods effects, a steady-state inundation map has been integrated within MATSim. In the current study, five scenarios have been tested where critical links are associated various levels of service, i.e. 10%, 25%, 50%, 75% and 100% (base case scenario). They are systematically compared to the standard scenario to estimate the deviations in terms of traffic patterns and travel times. The results suggest that compared to the standard scenario, the average trip travel time increased by 16.36%, 44.44%, 126.77% and 144.44% with respect to scenarios 75%, 50%, 25% and 10% respectively. Also, the traffic flows have been re-distributed more uniformly across the transportation network. Roads with important traffic volumes are subjected to a decrease of activity on the contrary of roads with low traffic volumes. A very few studies have focused on how river floods affect transportation systems, this paper provided new insights in term of methodology and traffic patterns analysis under disruptions. [less ▲]

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See detailInvestigating scalability in population synthesis: a comparative approach
Saadi, Ismaïl ULiege; Eftekhar, Hamed; Teller, Jacques ULiege et al

in Transportation Planning and Technology (2018), 41(7), 724-735

In this paper, we investigate the influence of scalability on the accuracy of different synthetic populations using both fitting and generation-based approaches. Most activity-based models need a base ... [more ▼]

In this paper, we investigate the influence of scalability on the accuracy of different synthetic populations using both fitting and generation-based approaches. Most activity-based models need a base-year synthetic population of agents with various attributes. However, when several attributes need to be synthesized, the accuracy of the synthetic population may decrease due to the mixed effects of scalability and dimensionality. We analyze two population synthesis methods for different levels of scalability, i.e. two to five attributes and different sample sizes – 10%, 25% and 50%. Results reveal that the simulation-based approach is more stable than Iterative Proportional Fitting (IPF) when the number of attributes increases. However, IPF is less sensitive to changes in sample size when compared to the simulation-based approach. We also demonstrate the importance of choosing the appropriate metric to validate the synthetic populations as the trends in terms of RMSE/MAE are different from those of SRMSE. [less ▲]

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See detailA Review of Residential Water Consumption Determinants
Nguyen, Bich Ngoc ULiege; Teller, Jacques ULiege

in Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay (Eds.) et al Computational Science and Its Applications – ICCSA 2018 (2018, July)

Water supply sectors are facing higher uncertainty in both resource availability and consumer demand. Future conservation programs require a full understanding of underlying factors of residential water ... [more ▼]

Water supply sectors are facing higher uncertainty in both resource availability and consumer demand. Future conservation programs require a full understanding of underlying factors of residential water consumption. However, previous studies have only considered one or several groups of factors without putting them all together in a bigger picture. This study was developed to provide a comprehensive view on these determinants and their relationships, as well as to discuss current gaps and possible directions. Determinants are categorized into six groups: (1) Economic; (2) Socio-demographic; (3) Physical properties; (4) Technological; (5) Climatic; and (6) Spatial drivers. All these determinants produce a very complex picture with many possible interrelationships. This nature, in one hand, poses challenges in selecting suitable technique to avoid autocorrelation, but on the other hand, provides chances to substitute unavailable important data with proxy variables. We have emphasized the lack of regional and cultural diversity in current studies, as most of them were carried out in developed and arid areas. Hence, a wider range of country specific and local-based studies is needed to better reflect the determinants and their relationships in diverse contexts. In future studies, a broader assessment scope taking into account effects such as feedback loop, spillover, and rebound should also be considered. In addition, these studies must deal with modern issues such as balancing between smart monitoring device utilization and consumer privacy. [less ▲]

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See detailWorking – living mix: from urban development strategy to market initiatives
Uyttebrouck, Constance ULiege; Remoy, Hilde; Teller, Jacques ULiege

Conference (2018, June 27)

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See detailComparison among three automated calibration methods for cellular automata land use change model: GA, PSO and MCMC
Mustafa, Ahmed Mohamed El Saeid ULiege; Saadi, Ismaïl ULiege; Ebaid, Amr et al

in Proceedings of AGILE conference 2018 (2018, June)

Spatial cellular automata (CA) model is one of the most common approaches to simulate land use change. Generally, CA estimates the transition likelihood from one land use state to another according to ... [more ▼]

Spatial cellular automata (CA) model is one of the most common approaches to simulate land use change. Generally, CA estimates the transition likelihood from one land use state to another according to local neighbourhood dynamics and global drivers. Logistic regression (logit) method is widely used to calibrate CA models. Recently, several optimization algorithms have been introduced to calibrate CA models. This study compares the performance of three optimization algorithms: (i) genetic algorithm (GA), (ii) particle swarm optimization (PSO), (iii) and Markov Chain Monte Carlo (MCMC). The three algorithms are incorporated into a CA model to simulate urban expansion in Wallonia (Belgium). In addition, we compare the three calibration algorithms with the logit method. The results show that all three algorithms outperformed the logit method. The results also reveal that the performance of GA is slightly better than PSO and MCMC. [less ▲]

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See detailMixing working and living spaces in buildings: implementation and upscaling
Uyttebrouck, Constance ULiege; van Bueren, Ellen; Teller, Jacques ULiege

Conference (2018, May 18)

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See detailInfluence of urban pattern on inundation flow in floodplains of lowland rivers
Bruwier, Martin ULiege; Mustafa, Ahmed Mohamed El Saeid ULiege; Aliaga, Daniel G. et al

in Science of the Total Environment (2018), 622–623

The objective of this paper is to investigate the respective influence of various urban pattern characteristics on inundation flow. A set of 2,000 synthetic urban patterns were generated using an urban ... [more ▼]

The objective of this paper is to investigate the respective influence of various urban pattern characteristics on inundation flow. A set of 2,000 synthetic urban patterns were generated using an urban procedural model providing locations and shapes of streets and buildings over a square domain of 1 x 1 km². Steady two-dimensional hydraulic computations were performed over the 2,000 urban patterns with identical hydraulic boundary conditions. To run such a large amount of simulations, the computational efficiency of the hydraulic model was improved by using an anisotropic porosity model. This model computes on relatively coarse computational cells, but preserves information from the detailed topographic data through porosity parameters. Relationships between urban characteristics and the computed inundation water depths have been based on multiple linear regressions. Finally, a simple mechanistic model based on two district-scale porosity parameters, combining several urban characteristics, is shown to capture satisfactorily the influence of urban characteristics on inundation water depths. The findings of this study give guidelines for more flood-resilient urban planning. [less ▲]

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