Operational Urban Models State of the Art

Wegener, Michael

doi:10.1080/01944369408975547

Cited by 385 publications

(160 citation statements)

References 45 publications

Supporting

Mentioning

136

Contrasting

Unclassified

Order By: Relevance

“…The fundamental principle of mobility analysis and forecast is the spatial separation of activities and people, which requires them to travel [40]. Transport and land use systems have a mutual influence, and the interaction between them has certain implications that can only be perceived in the long term [41].…”

Section: Main Features Of Mars Model For Madridmentioning

confidence: 99%

Modelling Land Use and Transport Policies to Measure Their Contribution to Urban Challenges: The Case of Madrid

2017

View full text Add to dashboard Cite

Urban areas play a key role in the development of European territories, and it is essential for them to be sustainable and efficient. However, the European cities are facing some challenges related to certain trends that are threatening their sustainable development and operational efficiency. In this paper, we compare the contribution of three policy measures-cordon toll accompanied by public transport improvements, teleworking and re-densification-to address different city challenges. The policy assessment requires a long term simulation tool, i.e., the MARS (Metropolitan Activity Relocation Simulator) model, which is able to consider interactions between land use and transport systems. The simulations of the different policy scenarios were carried out for the case of Madrid in the period 2012-2031. The contribution of the policy measures to address the city challenges was measured through different indicators. The results indicated that the three policy measures contributed to the time efficiency challenge, by saving time for the commute, reducing congestion and improving the traffic flows at peak hours. The most effective policy in this regard is the teleworking measure. Another challenge addressed by the three policies was the accessibility to PT. The three policy scenarios, when simulated, showed higher PT use, especially the cordon toll scenario. However, the only policy that really contributed to the energy, emissions and pollution city challenges was the re-densification measure, which reduced travel distances and encouraged a mobility that relies more on PT and slow modes.

show abstract

Section: Main Features Of Mars Model For Madridmentioning

confidence: 99%

Modelling Land Use and Transport Policies to Measure Their Contribution to Urban Challenges: The Case of Madrid

2017

View full text Add to dashboard Cite

show abstract

“…Many urban growth and land use change models have been developed after Lee's "requiem," and there are still many research centers in the world that are working on these kinds of models (Wegener 1994). Continued development of these models has been possible because of progress in computer technology, theory concepts, and data availability due to new tools such as geographic information systems (GIS).…”

Section: Population Growth Methodsmentioning

confidence: 99%

Planning and management modeling for treated wastewater usage

Ahmadi

Merkley

2009

Irrig Drainage Syst

View full text Add to dashboard Cite

Two computational models, including several calculation and analysis submodels, were developed to create a tool for assessing the impact of different treated wastewater reuse options on irrigated agriculture. The models consider various aspects of treated wastewater availability (past, present, and future), wastewater quality, agricultural water demand, and the economics of conveying wastewater from treatment plants to farms. The two models were implemented using Visual BASIC.NET in a GIS environment to facilitate visualization of some of the features of an area under study, and to provide a convenient interface for user application. One of the models is for treated wastewater availability calculations, and the other is for wastewater reuse.The water availability model has sub-models including urban population predictions, agricultural land use changes, residential water demand, agricultural water demand (evapotranspiration) for over 40 crop types, and treated wastewater analysis.The water reuse model is composed of three sub-models, including soil water and salt iii balance calculations, nutrient calculations, and pumping and conveyance costs calculations. The nutrient calculationssub-model is based on an existing model, but was completely rewritten and modified in some parts to accommodate the needs and features of the water reuse model presented herein.A sample application of the models is presented for Cache Valley, Utah. The results show a comparison of treated wastewater reuse schemes for the study area, highlighting how irrigated agriculture would best benefit from the total or partial use of treated wastewater. Two wastewater reuse scenarios were considered. The water availability model shows good agreement with other sources of information in terms of population forecast and calculation of future residential and agricultural water demand.However, according to the results from the model, the rate of increase of the urban area was much higher than the rate of decrease of the agricultural areas between the years 1992 and 2001.The future population growth and water demand increases for urban areas was calculated and validated for Logan City. Also, in the case studythe model was shown to be a good tool for wastewater influent analysis for Logan City. Both of the models were successfully developed, tested, and validated (for a case study in Utah) as part of this research.

show abstract

“…The ratio of investments in relation to the current system is also important because when one area is constructed, usually the changes in land use are secondary since the majority of buildings last for fifty or more years. The reconstruction costs in the built-up areas are usually high and often politically problematic [15].…”

Section: The Context Of Accessibility -Case Study Of Zagreb -Settlemementioning

confidence: 99%