Preliminary Results of a Multiagent Traffic Simulation for Berlin

Beuck, Ulrike; Nagel, Kai; Rieser, Marcel; Strippgen, David; Balmer, Michael

doi:10.1142/s0219525907001367

Cited by 5 publications

(4 citation statements)

References 31 publications

(27 reference statements)

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“…Thus, Agent Based Models (ABM) was selected. ABM has been widely advocated in urban planning research ( Benenson, 2004 ; Beuck et al., 2007 ; Gaube and Remesch, 2013 ; Murray-Rust et al., 2013 ; Jordan et al., 2014 ). The agents represent different groups that function autonomously and can make independent decisions, as well as interact with other agents and their environment ( Crooks and Heppenstall, 2011 ; Aliaga, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Projection for new city future scenarios – A case study for Kuwait

Alghais

Pullar

2018

Heliyon

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The creation of new cities is a planning approach adopted in several regions around the world, in order to accommodate urban growth. New cities are typically constructed according to well-thought out, centralised plans in areas without any prior development. However, whether the development of these new cities is able to address existing urban issues more effectively than traditional methods such as intensification, is currently an unanswered research question. Several Arabian Gulf countries, such as Kuwait are considering the construction of new cities to address urban issues, specifically the traffic congestion and housing shortages. In Kuwait, the master plan for these construction projects was developed solely by state authorities without any public participation or urban modelling that may have provided a more well-rounded view of the potential impacts and effectiveness.This paper aims to address these research opportunities of investigating the effectiveness of new cities in addressing traffic congestion and housing shortage, as well as the potential to integrate public opinions in urban development in the form of a model. Towards that end, the study proposes an Agent Based Model (ABM) that will allow simulating the population distribution and urban growth impacts of new cities in Kuwait by 2050. The methodology involves collecting primary data via interviewing the key government stakeholders of urban development and surveying the residents in order to collect the model inputs. In Kuwait's society, citizens and non-citizens form two distinct resident groups with often very diverse needs and lifestyles; hence the survey responses will differentiate between them. The data from the interviews and surveys from both resident groups will be incorporated as agent behaviours in the ABM. The simulations examine a multitude of scenarios for the new cities, involving construction delays and infrastructure project delays. The results indicate that the impacts of constructing new cities will be favourable across all different scenarios in terms of alleviating the traffic congestion and housing shortage compared to a business as usual approach of existing urban centre expansion. Furthermore, the survey responses confirm that the resident perspectives closely align with the government's priorities in the master plan for the new cities, further improving the chances for the successful project implementation. The methodology and findings may be applied in cities in the Gulf area or elsewhere with similar urban issues.

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Section: Methodsmentioning

confidence: 99%

Projection for new city future scenarios – A case study for Kuwait

Alghais

Pullar

2018

Heliyon

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“…2013), urban residential dynamics and mobility (Benenson 2004, Jordan et al 2014, the impact of planning policies of residents choices (Gaube & Remesch 2013) and modelling traffic movement (Beuck et al 2007).…”

Section: Bottom-up Modellingmentioning

confidence: 99%

“…Thus, Agent Based Models (ABM) was selected. ABM has been widely advocated in urban planning research (Benenson 2004;Beuck et al 2007;Gaube & Remesch 2013;Murray-Rust et al, 2013;Jordan et al 2014). The agents represent different groups that function autonomously and can make independent decisions, as well as interact with other agents and their environment (Aliaga 2012;.…”

Section: The Urban Modelmentioning

confidence: 99%

“…ABM has been widely used for modelling urban planning and future development assessment around the world (Benenson 2004;Beuck et al 2007;Gaube & Remesch 2013;Murray-Rust et al, 2013;Jordan et al 2014;Crooks 2015). Agents represent autonomous entities that have the ability to make independent decisions and may be individuals or groups, such as residents, developers or urban planners (Aliaga 2012;.…”

Section: Modelling Internal Migration To New Citiesmentioning

confidence: 99%

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Developing urban models to address population growth impacts and assisting with future urban planning in Kuwait and other Arabian Gulf countries

Alghais¹

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During the last six decades Kuwait has experienced a rapid and unprecedented population growth with only a small increase in the urban areas. The alarming rise in urban density in Kuwait has caused issues for the residents' lifestyles, the economy and the environment. These issues have been aggravated by urban planning that perpetuated a city-centric urban form without modelling the impacts of current patterns of urban growth. A spatial model using Agent Based Modelling (ABM) and Geographical Information Systems (GIS) is proposed to model disaggregate future changes in land use patterns given forecast population estimates and planning policies. The two main impacts considered are housing shortage and traffic congestion as these are the two most significant social impacts for Kuwaitis. This paper discusses the design methodology and parameterization of the ABM and the agent groups. It characterizes urban growth by rules for different citizen groups, historical growth patterns and the influence of decision makers. The model is validated against data for the period 1995-2015 and simulations run to 2050; the results predict that continued city-centric growth will aggravate the problems with greater than 50% increase in housing shortage and congestion unless the government intervenes to rectify the situation.

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