Gotowe bibliografie tematyczne / Urban network modelling

Gotowa bibliografia na temat „Urban network modelling”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych

Wybierz rodzaj źródła:

Spis treści

Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Urban network modelling”.

Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.

Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.

Artykuły w czasopismach na temat "Urban network modelling"

1

Ji, Q., S. Barr, P. James i D. Fairbairn. "A GEOSPATIAL ANALYSIS FRAMEWORK FOR FINE SCALE URBAN INFRASTRUCTURE NETWORKS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (19.09.2018): 291–96. http://dx.doi.org/10.5194/isprs-archives-xlii-4-291-2018.

Pełny tekst źródła
Streszczenie:
<p><strong>Abstract.</strong> Understanding the spatial connectivity of urban infrastructure networks that connect assets to buildings is important for the fine-scale spatial analysis and modelling of the resource flows within cities. However, rarely are spatially explicit representations of infrastructure networks available for such analysis. Further, an appropriate database system is the core of development of an infrastructure assets information and management platform, capable of handling the wide range of data for infrastructure system modelling and analysis. In this paper, we develop a geospatial simulation and analysis framework, which is capable of generating fine-scale urban infrastructure networks and storing the network instances in a hybrid database system for further modelling and analysis needs. We demonstrate the use of this platform by simulating the entire-city electricity distribution network for the city of Newcastle upon Tyne. Validation of the resulting network is performed using the network layout diagram from the local power company. The heuristically derived network was found to have a 91<span class="thinspace"></span>% spatial accuracy.</p>
Style APA, Harvard, Vancouver, ISO itp.
2

Price, R. K., i G. J. Catterson. "Monitoring and modelling in urban drainage". Water Science and Technology 36, nr 8-9 (1.10.1997): 283–87. http://dx.doi.org/10.2166/wst.1997.0680.

Pełny tekst źródła
Streszczenie:
A holistic appreciation of the performance of an urban drainage network is needed to understand how best to extend, operate and maintain the asset. These functions are best achieved through the recognition of the complementary roles of monitoring and modelling. A model is needed for planning structural changes to a network. Confirmation of both model asset data and model calibration requires long term as well as short term monitored data. In the future, engineers will make better use of the synergy between monitoring and modelling.
Style APA, Harvard, Vancouver, ISO itp.
3

Huide, Zhou, Rachid Bouyekhf i Adbellah EL Moudni. "Modelling and H∞ Control of Urban Transportation Network". IFAC Proceedings Volumes 45, nr 24 (wrzesień 2012): 72–77. http://dx.doi.org/10.3182/20120912-3-bg-2031.00014.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Kunapo, Joshphar, Shobhit Chandra i Jim Peterson. "Drainage Network Modelling for Water-Sensitive Urban Design". Transactions in GIS 13, nr 2 (kwiecień 2009): 167–78. http://dx.doi.org/10.1111/j.1467-9671.2009.01146.x.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Nagendra, S. M. Shiva, i Mukesh Khare. "Modelling urban air quality using artificial neural network". Clean Technologies and Environmental Policy 7, nr 2 (19.02.2005): 116–26. http://dx.doi.org/10.1007/s10098-004-0267-6.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Kutzner, Tatjana, Ihab Hijazi i Thomas H. Kolbe. "Semantic Modelling of 3D Multi-Utility Networks for Urban Analyses and Simulations". International Journal of 3-D Information Modeling 7, nr 2 (kwiecień 2018): 1–34. http://dx.doi.org/10.4018/ij3dim.2018040101.

Pełny tekst źródła
Streszczenie:
Current data models for representing, exchanging, and storing utility networks often meet the needs of specific domains only, i.e. they do not consider the integration of different network systems, mutual relations between networks and the embedding into 3D urban space. These important prerequisites for urban analyses and simulations are met by the CityGML extension Utility Network ADE. Originally developed for disaster management, this article presents the further development of the ADE by new and revised concepts that result from an extensive analysis of relevant use cases. A catalogue of requirements is presented, current data models are evaluated against these requirements, and the recent developments and refinements of the ADE are explained in detail. This includes the concepts of inter-feature links and network links, the linking of network components with city objects, the modelling of functional characteristics, a refined network components module, and a new electricity network package. In addition, an overview of projects that successfully have applied the ADE is provided.
Style APA, Harvard, Vancouver, ISO itp.
7

Zheng, Fangfang, Xiaobo Liu, Henk van Zuylen, Jie Li i Chao Lu. "Travel Time Reliability for Urban Networks: Modelling and Empirics". Journal of Advanced Transportation 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/9147356.

Pełny tekst źródła
Streszczenie:
The importance of travel time reliability in traffic management, control, and network design has received a lot of attention in the past decade. In this paper, a network travel time distribution model based on the Johnson curve system is proposed. The model is applied to field travel time data collected by Automated Number Plate Recognition (ANPR) cameras. We further investigate the network-level travel time reliability by connecting the network reliability measures such as the weighted standard deviation of travel time rate and the weighted skewness of travel time rate distributions with network traffic characteristics (e.g., the network density). The weighting is done with respect to the number of signalized intersections on a trip. A clear linear relation between the weighted average travel time rate and the weighted standard deviation of travel time rate can be observed for different time periods with time-varying demand. Furthermore, both the weighted average travel time rate and the weighted standard deviation of travel time rate increase monotonically with network density. The empirical findings of the relation between network travel time reliability and network traffic characteristics can be possibly applied to assess traffic management and control measures to improve network travel time reliability.
Style APA, Harvard, Vancouver, ISO itp.
8

Zeng, Lu, Jun Liu, Yong Qin, Li Wang i Jie Yang. "A Passenger Flow Control Method for Subway Network Based on Network Controllability". Discrete Dynamics in Nature and Society 2018 (4.09.2018): 1–12. http://dx.doi.org/10.1155/2018/5961090.

Pełny tekst źródła
Streszczenie:
The volume of passenger flow in urban rail transit network operation continues to increase. Effective measures of passenger flow control can greatly alleviate the pressure of transportation and ensure the safe operation of urban rail transit systems. The controllability of an urban rail transit passenger flow network determines the equilibrium state of passenger flow density in time and space. First, a passenger flow network model of urban rail transit and an evaluation index of the alternative set of flow control stations are proposed. Then, the controllable determination model of the urban rail transit passenger flow network is formed by converting the passenger flow distribution into a system state equation based on system control theory. The optimization method of passenger flow control stations is established via driver node matching to realize the optimized control of network stations. Finally, a real-world case study of the Beijing subway network is presented to demonstrate that the passenger flow network is controllable when driver nodes compose 25.3% of the entire network. The optimization of the flow control station, set during the morning peak, proves the efficiency and validity of the proposed model and algorithm.
Style APA, Harvard, Vancouver, ISO itp.
9

den Duijn, X., G. Agugiaro i S. Zlatanova. "MODELLING BELOW- AND ABOVE-GROUND UTILITY NETWORK FEATURES WITH THE CITYGML UTILITY NETWORK ADE: EXPERIENCES FROM ROTTERDAM". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W7 (20.09.2018): 43–50. http://dx.doi.org/10.5194/isprs-annals-iv-4-w7-43-2018.

Pełny tekst źródła
Streszczenie:
<p><strong>Abstract.</strong> Precise and comprehensive knowledge about 3D urban space is required for simulation and analysis in the fields of urban and environmental planning, city administration and disaster management. In order to facilitate these applications, geo-information about functional, semantic, and topographic aspects of urban features, their mutual dependencies and relations is needed. Substantial work has been done in the modelling and representation of above-ground features in the context of 3D city modelling. However, the belowground part of the real world, of which utility networks form a big part, is often neglected. Existing data models for utility networks are generally very domain-specific and, therefore, not suitable either. This paper describes a 3D data modelling approach for integrated management of below-ground utility networks and related above-ground city objects. This approach consists of manipulating first the structure of existing utility data in the commonly used Feature Manipulation Engine ETL software in order to make the data compliant to the CityGML Utility Network ADE data model. Subsequently, workspaces are created that take care of storing the CityGML data into the free and open-source 3D City Database, which has been extended in order to manage utility network data, too. Moreover, the research shows the suitability of the extended 3DCityDB to perform graph-based topological operations by means of the PostgreSQL pgRouting extension. Lastly, the results are visualized in typical GIS applications, e.g. QGIS and ArcGIS.</p>
Style APA, Harvard, Vancouver, ISO itp.
10

Yan, J., S. W. Jaw, R. V. Son, K. H. Soon i G. Schrotter. "THREE-DIMENSIONAL DATA MODELLING FOR UNDERGROUND UTILITY NETWORK MAPPING". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (19.09.2018): 711–15. http://dx.doi.org/10.5194/isprs-archives-xlii-4-711-2018.

Pełny tekst źródła
Streszczenie:
<p><strong>Abstract.</strong> Cities around the world face an increasing need for land as density in urban areas increases rapidly. The pressure to expand a city’s space is especially acute for a city-state like Singapore. How to make better use of underground space? This issue becomes much more emergent in the urban development. In the big data era, a data-driven approach of underground spaces is necessary for the sustainable development of a city along with rapid urbanization. A reliable three dimensional (3D) digital map of utility networks is crucial for urban planners to understand one of the most impactful aspects of the underground space planning. The mapping underground utility networks is a challenging task, especially for cities with limited land resources, congested underground spaces, and a lack of uniform existing practices. This paper proposes a framework to organise the workflow from an underground utility data survey to data use. This framework includes two core parts: A 3D utility network data model that aims to convert utility survey data to 3D geospatial information, and a 3D utility cadastral data model that supports utility ownership management. It is expected that reliable and accurate information on underground utility networks can lead to a better understanding and management of underground space, which eventually contributes to better city planning, making the unseen structures visible.</p>
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Rozprawy doktorskie na temat "Urban network modelling"

1

Vythoulkas, Petros C. "Modelling dynamic stochastic user equilibrium for urban road networks". Thesis, Cranfield University, 1991. http://hdl.handle.net/1826/3937.

Pełny tekst źródła
Streszczenie:
In this study a dynamic assignment model is developed which estimates travellers' route and departure time choices and the resulting time varying traffic patterns during the morning peak. The distinctive feature of the model is that it does not restrict the geometry of the network to specific forms. The proposed framework of analysis consists of a travel time model, a demand model and a demand adjustment mechanism. Two travel time models are proposed. The first is based on elementary relationships from traffic flow theory and provides the framework for a macroscopic simulation model which calculates the time varying flow patterns and link travel times given the time dependent departure rate distributions; the second is based on queueing theory and models roads as bottlenecks through which traffic flow is either uncongested or fixed at a capacity independent of traffic density. The demand model is based on the utility maximisation decision rule and defines the time dependent departure rates associated with each reasonable route connecting, the O-D pairs of the network, given the total utility associated with each combination of departure time and route. Travellers' choices are assumed to result from the trade-off between travel time and schedule delay and each individual is assumed to first choose a departure time t, and then select a reasonable route, conditional on the choice of t. The demand model has therefore the form of a nested logit. The demand adjustment mechanism is derived from a Markovian model, and describes the day-to-day evolution of the departure rate distributions. Travellers are assumed to modify their trip choice decisions based on the information they acquire from recent trips. The demand adjustment mechanism is used in order to find the equilibrium state of the system, defined as the state at which travellers believe that they cannot increase their utility of travel by unilaterally changing route or departure time. The model outputs exhibit the characteristics of real world traffic patterns observed during the peak, i. e., time varying flow patterns and travel times which result from time varying departure rates from the origins. It is shown that increasing the work start time flexibility results in a spread of the departure rate distributions over a longer period and therefore reduces the level of congestion in the network. Furthermore, it was shown that increasing the total demand using the road network results in higher levels of congestion and that travellers tend to depart earlier in an attempt to compensate for the increase in travel times. Moreover, experiments using the queueing theory based travel time model have shown that increasing the capacity of a bottleneck may cause congestion to develop downstream, which in turn may result in an increase of the average travel time for certain O-D pairs. The dynamic assignment model is also applied to estimate the effects that different road pricing policies may have on trip choices and the level of congestion; the model is used to demonstrate the development of the shifting peak phenomenon. Furthermore, the effect of information availability on the traffic patterns is investigated through a number of experiments using the developed dynamic assignment model and assuming that guided drivers form a class of users characterised by lower variability of preferences with respect to route choice.
Style APA, Harvard, Vancouver, ISO itp.
2

Ho, Siu-kui. "Sensitivity of parameters in transportation modelling on the implication of network requirement : a case study of Hong Kong /". [Hong Kong] : University of Hong Kong, 1986. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1233361X.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Smit, Robin, i n/a. "An Examination of Congestion in Road Traffic Emission Models and Their Application to Urban Road Networks". Griffith University. School of Environmental Science, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070724.155421.

Pełny tekst źródła
Streszczenie:
The level of air pollution in urban areas, which is largely affected by road traffic, is an issue of high political relevance. Congestion is most prevalent in urban areas and a common and increasingly present phenomenon worldwide. The first four chapters of this study have investigated how and to what extent models, which are used to predict emissions on road links in urban road networks, include the effects of congestion on emissions. In order to make this assessment, traffic engineering literature and empirical studies have been examined and used as a basis to review (current) emission models that exist or have been used around the world. Congestion causes changes in driving patterns of individual vehicles in a traffic stream, and these changes are subsequently reflected in changes in congestion indicators and changes in emission levels. This consideration and a literature review has led to a proposed 'congestion typology' of emission models, which reflects the different ways in which and the extent to which congestion has been incorporated in these models. The typology clarifies that six of in total ten families of emission models that were investigated in this thesis explicitly consider congestion in the modelling process (i.e. model variables are related to congestion), although this is done in different ways. For the remaining four families of emission models it was not possible to determine the extent to which congestion has been incorporated on the basis of literature review alone. Two families fell beyond the scope of this work since they cannot be used to predict emission on road links. For the other two families it became clear in the course of the thesis that the extent can be determined through analysis of driving pattern data (and other information with respect to e.g. data collection) that were used in the model development. A new methodology is presented in this thesis to perform this analysis and to assess the mean level of congestion in driving patterns (driving cycles). The analysis has been carried out for one important family of emission models, the so-called travel speed models ('average speed models'), which are used extensively in urban network modelling. For four current models (COPERT III, MOBILE 6, QGEPA 2002, EMFAC 2000), it is concluded that these models implicitly (i.e. congestion is inherently considered) take varying levels of congestion into account, but that this conclusion is subject to a number of limitations. It became clear in the course of this study that prediction of (the effects of) congestion in both traffic models and emission models is generally restricted to certain modelling dimensions. As a consequence, the effects of congestion are only partially predicted in current air emission modelling. Chapter 5 has attempted to address the question whether congestion is actually an important issue in urban network emission modelling or not. It also addressed the question if different types of emission models actually predict different results. On the basis of a number of selection criteria, two types of models were compared, i.e. one explicit model (TEE-KCF 2002) and two implicit models (COPERT III, QGEPA 2002). The research objectives have been addressed by applying these emission models to a case-study urban network in Australia (Brisbane) for which various model input attributes were collected from different sources (both modelled and field data). The findings are limited by the fact that they follow from one urban network with particular characteristics (fleet composition, signal settings, speed limits) and application of only a few particular emission models. The results therefore indicate that: 1. Changes in traffic activity (i.e. distribution of vehicle kilometres travelled on network links) over the day appear to have the largest effect on predicted traffic emissions. 2. Congestion is an important issue in the modelling of CO and HC emissions. This appears not to be the case for NOx emissions, where basic traffic composition is generally a more important factor. For the most congested parts in the urban network that have been investigated, congestion can more than double predicted emissions of CO and HC. 3. Different types of emission models can produce substantially different results when absolute (arithmetic) differences are considered, but can produce similar results when relative differences (ratio or percent difference) are considered.
Style APA, Harvard, Vancouver, ISO itp.
4

Smit, Robin. "An Examination of Congestion in Road Traffic Emission Models and Their Application to Urban Road Networks". Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365194.

Pełny tekst źródła
Streszczenie:
The level of air pollution in urban areas, which is largely affected by road traffic, is an issue of high political relevance. Congestion is most prevalent in urban areas and a common and increasingly present phenomenon worldwide. The first four chapters of this study have investigated how and to what extent models, which are used to predict emissions on road links in urban road networks, include the effects of congestion on emissions. In order to make this assessment, traffic engineering literature and empirical studies have been examined and used as a basis to review (current) emission models that exist or have been used around the world. Congestion causes changes in driving patterns of individual vehicles in a traffic stream, and these changes are subsequently reflected in changes in congestion indicators and changes in emission levels. This consideration and a literature review has led to a proposed 'congestion typology' of emission models, which reflects the different ways in which and the extent to which congestion has been incorporated in these models. The typology clarifies that six of in total ten families of emission models that were investigated in this thesis explicitly consider congestion in the modelling process (i.e. model variables are related to congestion), although this is done in different ways. For the remaining four families of emission models it was not possible to determine the extent to which congestion has been incorporated on the basis of literature review alone. Two families fell beyond the scope of this work since they cannot be used to predict emission on road links. For the other two families it became clear in the course of the thesis that the extent can be determined through analysis of driving pattern data (and other information with respect to e.g. data collection) that were used in the model development. A new methodology is presented in this thesis to perform this analysis and to assess the mean level of congestion in driving patterns (driving cycles). The analysis has been carried out for one important family of emission models, the so-called travel speed models ('average speed models'), which are used extensively in urban network modelling. For four current models (COPERT III, MOBILE 6, QGEPA 2002, EMFAC 2000), it is concluded that these models implicitly (i.e. congestion is inherently considered) take varying levels of congestion into account, but that this conclusion is subject to a number of limitations. It became clear in the course of this study that prediction of (the effects of) congestion in both traffic models and emission models is generally restricted to certain modelling dimensions. As a consequence, the effects of congestion are only partially predicted in current air emission modelling. Chapter 5 has attempted to address the question whether congestion is actually an important issue in urban network emission modelling or not. It also addressed the question if different types of emission models actually predict different results. On the basis of a number of selection criteria, two types of models were compared, i.e. one explicit model (TEE-KCF 2002) and two implicit models (COPERT III, QGEPA 2002). The research objectives have been addressed by applying these emission models to a case-study urban network in Australia (Brisbane) for which various model input attributes were collected from different sources (both modelled and field data). The findings are limited by the fact that they follow from one urban network with particular characteristics (fleet composition, signal settings, speed limits) and application of only a few particular emission models. The results therefore indicate that: 1. Changes in traffic activity (i.e. distribution of vehicle kilometres travelled on network links) over the day appear to have the largest effect on predicted traffic emissions. 2. Congestion is an important issue in the modelling of CO and HC emissions. This appears not to be the case for NOx emissions, where basic traffic composition is generally a more important factor. For the most congested parts in the urban network that have been investigated, congestion can more than double predicted emissions of CO and HC. 3. Different types of emission models can produce substantially different results when absolute (arithmetic) differences are considered, but can produce similar results when relative differences (ratio or percent difference) are considered.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Environmental Planning
Full Text
Style APA, Harvard, Vancouver, ISO itp.
5

Parsafard, Mohsen. "Space-Time Transportation System Modelling: from Traveler’s Characteristics to the Network Design Problem". Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6924.

Pełny tekst źródła
Streszczenie:
Traditional network design problems only consider the long-term stationary travel patterns (e.g., fixed OD demand) and short-term variations of human mobility are ignored. This study aims to integrate human mobility characteristics and travel patterns into network design problems using a space-time network structure. Emerging technologies such as location-based social network platforms provide a unique opportunity for understanding human mobility patterns that can lead to advanced modeling techniques. To reach our goal, at first multimodal network design problems are investigated by considering safety and flow interactions between different modes of transport. We develop a network reconstruction method to expand a single-modal transportation network to a multi-modal network where flow interactions between different modes can be quantified. Then, in our second task, we investigate the trajectory of moving objects to see how they can reveal detailed information about human travel characteristics and presence probability with high-resolution detail. A time geography-based methodology is proposed to not only estimate an individual’s space-time trajectory based on his/her limited space-time sample points but also to quantify the accuracy of this estimation in a robust manner. A series of measures including activity bandwidth and normalized activity bandwidth are proposed to quantify the accuracy of trajectory estimation, and cutoff points are suggested for screening data records for mobility analysis. Finally, a space-time network-based modeling framework is proposed to integrate human mobility into network design problems. We construct a probabilistic network structure to quantify human’s presence probability at different locations and time. Then, a Mixed Integer Nonlinear Programming (MINLP) model is proposed to maximize the spatial and temporal coverage of individual targets. To achieve near optimal solutions for large-scale problems, greedy heuristic, Lagrangian relaxation and simulated annealing algorithms are implemented to solve the problem. The proposed algorithms are implemented on hypothetical and real world numerical examples to demonstrate the performance and effectiveness of the methodology on different network sizes and promising results have been obtained.
Style APA, Harvard, Vancouver, ISO itp.
6

Lee, Ka-Man. "Impact of Urbanisation on Estuarine Sandflats: Use of Ecological Indicators, Stable Isotope Enrichment and Network Modelling". Thesis, Griffith University, 2011. http://hdl.handle.net/10072/366733.

Pełny tekst źródła
Streszczenie:
Urbanisation often exerts large-scale adverse effects on coastal areas and estuaries, which are ecologically diverse and highly productive habitats. Understanding the ecological resilience of these habitats is a prerequisite for their management. Direct quantification of ecosystem functioning using conventional approaches, however, is difficult and time-consuming. This difficulty has greatly restricted ecosystem-level research and thus, the ability to predict an ecosystem’s responses to urbanisation. The main aim of this thesis was to assess the impact of urbanisation on estuarine sandflats. I developed a novel food web analytical approach, by combining stable isotope (13C) enrichment, compartmental modelling, and ecological network analysis techniques to quantify food web dynamics. This approach was tested with estuarine sandflats, which is one of the most important coastal habitats worldwide. The novel approach allows quantitative testing of specific hypotheses about food web dynamics through manipulative experiments, by comparing system indices that reflect ecosystem condition. Further, I conducted manipulative experiments using this approach to investigate the structural and functional response of a multi-level estuarine sandflat food web to two common anthropogenic stressors from urbanisation, namely, organic enrichment and physical disturbance.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Giffith School of Environment
Science, Environment, Engineering and Technology
Full Text
Style APA, Harvard, Vancouver, ISO itp.
7

Matheussen, Bernt Viggo. "Effects of anthropogenic activities on snow distribution, and melt in an urban environment". Doctoral thesis, Norwegian University of Science and Technology, Faculty of Engineering Science and Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-243.

Pełny tekst źródła
Streszczenie:

In many parts of the world snow melt runoff influence discharge from combined sewer overflows (CSO) and flooding in urban drainage systems. Despite this, urban snow hydrology is a field that has received little attention from the urban drainage community. The objectives of this research were to better understand urban snow hydrology and through field work and hydrological modelling quantify effects of anthropogenic activities (AA) on snow distribution, and melt in an urban environment. This means in principle how the presence (design geometry) and operation of roads and buildings influence the snow distribution and melt in urban areas. The Risvollan urban catchment (20 ha) located in Trondheim, Norway, was used as a study area. A literature review of urban snow hydrology was also carried out.

A gridded urban hydrology model (GUHM) was developed as part of the study. The principal idea of the GUHM is to subdivide an urban catchment into orthogonal equal area grid cells. The snow routine in the GUHM is based on an energy balance approach, which together with a soil-runoff routine is used to calculate a time series of rain, snow water equivalent (SWE), snow melt, and runoff, for each grid cell. In GUHM, processes such as snow clearing of roads, locally low albedos, heat/shadowing from buildings, and effects of slope and aspect are included in the model structure.

A technique for observing time series of snow covered area (SCA) for an urban catchment is presented. The method is based on image processing and neural network technology to calculate SCA from a time series of images taken from a tall building in the Risvollan catchment. It was shown that SCA on roads and roofs in general becomes more rapidly snow free during melt periods compared to the park areas of the Risvollan catchment. This can be explained by snow clearing of roads, snowdrift from roofs and high snow melt rates on roofs and roads. The high melt rates was attributed to locally low albedos in vicinity to roads, rooftop snow packs exposure to wind and solar radiation, in addition to anthropogenic heat release from the roofs themselves.

Field observations of SWE were carried out in the Risvollan catchment and it was shown that areal mean SWE located on/or nearby roads and buildings were significantly lower during mid and end of the winter, than in park areas. This can be attributed to higher melt rates caused by AA. A time series of SCA and SWE was obtained through field work for the period from 2000 to 2003 in the Risvollan catchment.

The GUHM was applied and calibrated for the Risvollan catchment for a three year period. Two seasons were used as validation period. Comparison between the simulated and observed SWE, SCA and runoff data showed that the GUHM was able to simulate snow accumulation and melt for whole seasons with short time resolution (1 hour) satisfactory.

The GUHM was used to quantify effects of AA on snow distribution and melt for six different land use scenarios in the Risvollan catchment for the period June 1998 to June 2003. The modelling results showed that when the area coverage of buildings and roads increased, the SCA and SWE more rapidly decreased during melt periods. Because of this more runoff will be produced in the early winter season (Jan-March) compared to if the catchment had been covered with only sparsely vegetated areas.

The simulation results showed that when the impervious surface covers of a catchment increase, the peak and volume runoff will also increase, as expected.

Both the field observations and the hydrological model study carried out in this work showed that AA lowers SCA and SWE more rapidly in an urban environment compared to more untouched terrain. The reasons for this are redistribution of snow, and strong snow melt rates on roads, roofs, and in snow deposit areas. Low albedos and anthropogenic heat release are the main reasons for the enhanced snow melt rates.

Style APA, Harvard, Vancouver, ISO itp.
8

Ho, Siu-kui, i 何兆鉅. "Sensitivity of parameters in transportation modelling on the implication of network requirement: a casestudy of Hong Kong". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1986. http://hub.hku.hk/bib/B31975070.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Ishtiaq, Muhammad Saeed. "Journey time forecasting in urban networks". Thesis, University of Southampton, 1995. https://eprints.soton.ac.uk/421965/.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Mongeot, Helene. "Traffic incident modelling in mixed urban networks". Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286751.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Książki na temat "Urban network modelling"

1

White, Roger. The artificial intelligence of urban dynamics: Neural network modelling of urban structure. [Toronto]: Centre for Urban and Community Studies, University of Toronto, 1989.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Lundqvist, Lars. Network Infrastructure and the Urban Environment: Advances in Spatial Systems Modelling. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Network Infrastructure and the Urban Environment: Advances in Spatial Systems Modelling. Springer, 2011.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

L, Lundqvist, Mattsson L. G. 1947- i Kim Tschangho John, red. Network infrastructure and the urban environment: Advances in spatial systems modelling. Berlin: Springer, 1998.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

(Editor), L. Lundqvist, L. G. Mattsson (Editor) i Tschangho John Kim (Editor), red. Network Infrastructure and the Urban Environment: Advances in Spatial Systems Modelling : With 53 Figures and 52 Tables (Advances in Spatial Science). Springer-Verlag Telos, 1998.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.

Części książek na temat "Urban network modelling"

1

Ionescu, A., i Y. Candau. "Optimization of an Urban Air Monitoring Network". W Air Pollution Modelling and Simulation, 586–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04956-3_63.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Brepols, Christoph, Heinrich Dahmen, Maja Lange, Annelie Sohr, Reinhold Kiesewski i Richard Rohlfing. "Model-Based Sewer Network Control - Practical Experiences". W New Trends in Urban Drainage Modelling, 20–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_3.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Peña-Guzmán, Carlos, Paula Balaguera, Nathalia Hernandez i Ronal Sierra. "Redesign of Water Quality Network for the Urban Rivers in Salitre in Bogotá, Colombia, Using an Artificial Neural Network". W New Trends in Urban Drainage Modelling, 915–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_157.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Ayazpour, Zolal, Amin E. Bakhshipour i Ulrich Dittmer. "Combined Sewer Flow Prediction Using Hybrid Wavelet Artificial Neural Network Model". W New Trends in Urban Drainage Modelling, 693–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_120.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Caprario, Jakcemara, Aline Schuck Rech, Fabiane Andressa Tasca i Alexandra Rodrigues Finotti. "Influence of Drainage Network and Compensatory Techniques on Urban Flooding Susceptibility". W New Trends in Urban Drainage Modelling, 717–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_124.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Kolehmainen, Mikko, Hannu Martikainen, Teri Hiltunen i Juhani Ruuskanen. "Forecasting Air Quality Parameters Using Hybrid Neural Network Modelling". W Urban Air Quality: Measurement, Modelling and Management, 277–86. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0932-4_30.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Corti, A., i A. Senatore. "Project of an Air Quality Monitoring Network for Industrial Site in Italy". W Urban Air Quality: Measurement, Modelling and Management, 109–17. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0932-4_12.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Pasini, Antonello, i Sergio Potestà. "Neural Network Modelling: Perspectives of Application for Monitoring and Forecasting Physical-Chemical Variables in the Boundary Layer". W Urban Air Pollution, 329–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61120-9_26.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Krajny, Ewa, Leszek Osródka i Marek Wojtylak. "Application of Artificial Neural Network in Forecasting of Air Pollution in Large Industrial Urban Area". W Air Pollution Modelling and Simulation, 574–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04956-3_59.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

El-Fadel, M., H. Sbayti i I. Kaysi. "Modeling of Traffic-Induced Emission Inventories in Urban Areas. Effect of Roadway Network Aggregation Levels Traffic Management and Technology". W Air Pollution Modelling and Simulation, 187–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04956-3_20.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.

Streszczenia konferencji na temat "Urban network modelling"

1

Castangia, M., i L. Guala. "Modelling and simulation of a PRT network". W URBAN TRANSPORT 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/ut110391.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

"Artificial Neural Network-Based Modelling for Daylight Evaluations". W 2018 Symposium on Simulation for Architecture and Urban Design. Society for Modeling and Simulation International (SCS), 2018. http://dx.doi.org/10.22360/simaud.2018.simaud.002.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Ee Chuo, Helen Sin, Yuan Han Swa, Min Keng Tan, Kit Guan Lim, Liawas Barukang i Kenneth Tze Kin Teo. "Modelling Discrete Urban Traffic Network System with Cellular Automata". W 2021 IEEE 19th Student Conference on Research and Development (SCOReD). IEEE, 2021. http://dx.doi.org/10.1109/scored53546.2021.9652709.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Novák, D., D. Lehký, L. Pan i M. Cao. "Sensitivity analysis strategies for the artificial neural network modelling of engineering problems". W International Conference on Civil, Urban and Environmental Engineering. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/cuee140191.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Sondi, Patrick, Dhavy Gantsou i Sylvain Lecomte. "Mobile Ad Hoc Network-based Monitoring of Battlefields or Rescue Operations in Urban Scenarios". W 2010 European Modelling Symposium (EMS). IEEE, 2010. http://dx.doi.org/10.1109/ems.2010.74.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Zang, Lilin, Lei Jia i Xiangxu Meng. "Modelling and Simulation of Traffic Signal Control for Urban Network". W 2009 Third International Symposium on Intelligent Information Technology Application. IEEE, 2009. http://dx.doi.org/10.1109/iita.2009.467.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Bai, Yun, Jian-feng Liu, Zhuang-zhi Sun i Bao-hua Mao. "Analysis on Route Choice Behavior in Seamless Transfer Urban Rail Transit Network". W 2008 International Workshop on Modelling, Simulation and Optimization (WMSO). IEEE, 2008. http://dx.doi.org/10.1109/wmso.2008.24.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Major, Mark David, Heba O. Tannous, Sarah Al-Thani, Mahnoor Hasan, Adiba Khan i Adele Salaheldin. "Macro and micro scale modelling of multi-modal transportation spatial networks in the city-state of Doha, Qatar". W Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/piqu7255.

Pełny tekst źródła
Streszczenie:
Researchers and practitioners have been modeling the street networks of metropolitan and geographical regions using space syntax or configurational analysis since the late 1990s and early 2000s. Some models even extend to a national scale. A few examples include the island of Great Britain, within the national boundaries of England, over half of the Combined Statistical Area of Metropolitan Chicago and the entirety of Chatham County, Georgia and the City of Savannah in the USA, and the Chiang-rai Special Economic Zone in northern Thailand bordering Myanmar and Laos. Researchers at Qatar University constructed a space syntax model of Metropolitan Doha in 2018. It covered a land area of 650 km2 , encompassing over 24,000 streets, and approximately eighty-five percent (~85%) of the total population (~2.8 million) in Qatar. In a short time, this model led to a deeper understanding of spatial structure at the metropolitan and neighborhood level in Doha compared to other cities of the world, especially in the Gulf Cooperation Council region. The paper presents the initial results of expanding this model to the State of Qatar, which provides ideal conditions for this type of large-scale modeling using space syntax. It occupies the Qatari Peninsula on the Arabian Peninsula adjacent to the Arabian/Persian Gulf, offering natural boundaries on three sides. Qatar also shares only a single border with another country to the southwest, which Saudi Arabia closed due to the current diplomatic blockade. The expanded model includes all settlements and outlying regions such as Al Ruwais and Fuwayriţ in the far north, Al Khor and the Industrial City of Ras Laffan in the northeast, and Durkan and Zekreet in the west. Space syntax is serving as the analytical basis for research into the effect of the newly opened rail transportation systems on Doha's urban street network. Researchers are also utilizing space syntax to study micro-scale spatial networks for pedestrians in Souq Waqif, Souq Wakra, and other Doha neighborhoods. The paper gives a brief overview of this research's current state with an emphasis on urban studies.
Style APA, Harvard, Vancouver, ISO itp.
9

Li, Hanyu, Zhaobin Du, Lidan Chen i Baorong Zhou. "A Spatial-temporal Charging Load Forecasting Modelling of Electric Vehicles Considering Urban Traffic Network". W 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2018. http://dx.doi.org/10.1109/isgt-asia.2018.8467975.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Lauster, Moritz, Peter Remmen, Marcus Fuchs, Jens Teichmann, Rita Streblow i Dirk Müller. "Modelling long-wave radiation heat exchange for thermal network building simulations at urban scale using Modelica". W the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden. Linköping University Electronic Press, 2014. http://dx.doi.org/10.3384/ecp14096125.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Możesz być także zainteresowany rozszerzonymi bibliografiami na temat „Urban network modelling” dla poszczególnych typów źródeł:
Artykuły w czasopismach Rozprawy doktorskie
Oferujemy zniżki na wszystkie plany premium dla autorów, których prace zostały uwzględnione w tematycznych zestawieniach literatury. Skontaktuj się z nami, aby uzyskać unikalny kod promocyjny!

Do bibliografii