A cellular automata-based land use and transport interaction model applied to Jeddah, Saudi Arabia

Aljoufie, Mohammed; Zuidgeest, Mark; Brussel, M.J.G.; Vliet, Jasper van; Maarseveen, Martin van

doi:10.1016/j.landurbplan.2013.01.003

Cited by 46 publications

(39 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Cellular Automaton technique allows us to evaluate the impacts of TOD based on the current land use situation in Chinese cities. The technique has been proven effective in predicting the effects of transportation policy (Lagarias, 2012;Aljoufie, et al 2013;Tian et al, 2016).…”

Section: Tod Impact Assessment Techniquesmentioning

confidence: 99%

Transit-oriented development: Literature review and evaluation of TOD potential across 50 Chinese cities

Guthrie

Fan

et al. 2017

JTLU

View full text Add to dashboard Cite

Transit-oriented development (TOD) has been widely accepted in recent years as an important urban development policy. This article reviews the existing TOD literature pertinent to conditions in China, introduces TOD practices in China, and evaluates land development impacts of TOD across 50 Chinese cities that either have metro systems already or expect to have operating metro systems by 2020. The evaluation analysis contributes to the existing literature because most research on TOD in Chinese cities has focused on large, national or provincial capitals such as Beijing, Shanghai, and/or Guangzhou. Based on simulation analysis, we evaluate TOD's land development impacts across all Chinese cities that are expected to have metro systems by 2020. Our results show that the second-as well as the thirdclass cities of China will have more potential for TOD implementation than the first-class cities in the next five years.

show abstract

Section: Tod Impact Assessment Techniquesmentioning

confidence: 99%

Transit-oriented development: Literature review and evaluation of TOD potential across 50 Chinese cities

Guthrie

Fan

et al. 2017

JTLU

View full text Add to dashboard Cite

show abstract

“…The role of these factors is defined and then included in the transition rules for the modelling of urban development [30]. In the past, a wide variety of approaches and methods have been applied to model the dynamics of urban cover change and its driving factors [31][32][33][34][35][36][37][38]. Integrating the Markov chain (MC) and cellular automata (CA) techniques has been found to be a suitable approach through which to simulate the spatiotemporal changes in urban cover [2,[39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia

2016

View full text Add to dashboard Cite

This study analyses the expansion of urban growth and land cover changes in five Saudi Arabian cities (Riyadh, Jeddah, Makkah, Al-Taif and the Eastern Area) using Landsat images for the 1985, 1990, 2000, 2007 and 2014 time periods. The classification was carried out using object-based image analysis (OBIA) to create land cover maps. The classified images were used to predict the land cover changes and urban growth for 2024 and 2034. The simulation model integrated the Markov chain (MC) and Cellular Automata (CA) modelling methods and the simulated maps were compared and validated to the reference maps. The simulation results indicated high accuracy of the MC-CA integrated models. The total agreement between the simulated and the reference maps was >92% for all the simulation years. The results indicated that all five cities showed a massive urban growth between 1985 and 2014 and the predicted results showed that urban expansion is likely to continue going for 2024 and 2034 periods. The transition probabilities of land cover, such as vegetation and water, are most likely to be urban areas, first through conversion to bare soil and then to urban land use. Integrating of time-series satellite images and the MC-CA models provides a better understanding of the past, current and future patterns of land cover changes and urban growth in this region. Simulation of urban growth will help planners to develop sustainable expansion policies that may reduce the future environmental impacts.

show abstract

“…Many studies on CA have concentrated on the definition of transition rules using different methods, which include logistic regression [16][17][18], particle swarm optimization [19], fuzzy set [20,21], simulated annealing algorithm [22], genetic algorithm [23,24], higher dimensional space [25,26], and Markov chain [27][28][29]. The CA models are usually applied in simulating and understanding the urban dynamics [30][31][32] and land use and cover change [33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Simulating the Impact of Economic and Environmental Strategies on Future Urban Growth Scenarios in Ningbo, China

Liu

Feng

2016

Sustainability

View full text Add to dashboard Cite

Coastal cities in China are challenged by multiple growth paths and strategies related to demands in the housing market, economic growth and eco-system protection. This paper examines the effects of conflicting strategies between economic growth and environmental protection on future urban scenarios in Ningbo, China, through logistic-regression-based cellular automata (termed LogCA) modeling. The LogCA model is calibrated based on the observed urban patterns in 1990 and 2015, and applied to simulate four future scenarios in 2040, including (a) the Norm-scenario, a baseline scenario that maintains the 1990-2015 growth rate; (b) the GDP-scenario, a GDP-oriented growth scenario emphasizing the development in city centers and along economic corridors; (c) the Slow-scenario, a slow-growth scenario considering the potential downward trend of the housing market in China; and (d) the Eco-scenario, a slow-growth scenario emphasizing natural conservation and ecosystem protections. The CA parameters of the Norm-and Slow-scenarios are the same as the calibrated parameters, while the parameters of proximities to economic corridors and natural scenery sites were increased by a factor of 3 for the GDP-and Eco-scenarios, respectively. The Norm-and GDP-scenarios predicted 1950 km 2 of new growth for the next 25 years, the Slow-scenario predicted 650 km 2 , and the Eco-scenario predicted less growth than the Slow-scenario. The locations where the newly built-up area will emerge are significantly different under the four scenarios and the Slow-and Eco-scenarios are preferable to achieve long-term sustainability. The scenarios are not only helpful for exploring sustainable urban development options in China, but also serve as a reference for adjusting the urban planning and land policies.

show abstract

A cellular automata-based land use and transport interaction model applied to Jeddah, Saudi Arabia

Cited by 46 publications

References 33 publications

Transit-oriented development: Literature review and evaluation of TOD potential across 50 Chinese cities

Transit-oriented development: Literature review and evaluation of TOD potential across 50 Chinese cities

Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia

Simulating the Impact of Economic and Environmental Strategies on Future Urban Growth Scenarios in Ningbo, China

Contact Info

Product

Resources

About