TRANUS-J: putting large models into small computers

Barra, Tomás de la; Pérez, Belkys; Parra, Nelson Enrique Vera

doi:10.1068/b110087

Cited by 62 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Policy drivers have changed dramatically since then: climate change mitigation, air quality improvement and public health are prioritised in the emergent 'sustainable mobility paradigm' (Hickman et al 2011;Johansson et al 2017;Department for Transport 2020). Yet many traditional transport planning tools focus on motor traffic, emphasising travel time savings impacts over environmental and health savings (Hall et al 1980;de Dios Ort'uzar and Willumsen 2011), often at low levels of geographic resolution (Hollander 2016). These observations have led to criticism of transport models which are deemed unable to represent transport network details such as pavement and way widths that are needed effectively designed for active transport (Parkin 2018) or capture community input (Beimborn and Kennedy 1996).…”

Section: Political Driversmentioning

confidence: 99%

“…The rewards can be great: transport planners who have designed-and helped to implement-plans appropriate to the needs of an area leave a legacy that will benefit people and the environment for generations to come. 1 Transport planning can be considered as "more of an art than a technique", although good transport plans also rely on robust analysis and modelling of sometimes large and usually spatial input datasets (de Dios Ort'uzar and Willumsen 2011). Ways and other pieces of transport infrastructure must go somewhere; transport planning involves consideration of where investment and other interventions are most needed.…”

Section: Introduction: Geographic Analysis In Transport Planningmentioning

confidence: 99%

“…The influential textbook Modelling Transport outlines the main stages of transport planning as follows (de Dios Ort'uzar and Willumsen 2011).…”

Section: Introduction: Geographic Analysis In Transport Planningmentioning

confidence: 99%

See 2 more Smart Citations

Open source tools for geographic analysis in transport planning

Lovelace

2021

J Geogr Syst

View full text Add to dashboard Cite

Geographic analysis has long supported transport plans that are appropriate to local contexts. Many incumbent ‘tools of the trade’ are proprietary and were developed to support growth in motor traffic, limiting their utility for transport planners who have been tasked with twenty-first century objectives such as enabling citizen participation, reducing pollution, and increasing levels of physical activity by getting more people walking and cycling. Geographic techniques—such as route analysis, network editing, localised impact assessment and interactive map visualisation—have great potential to support modern transport planning priorities. The aim of this paper is to explore emerging open source tools for geographic analysis in transport planning, with reference to the literature and a review of open source tools that are already being used. A key finding is that a growing number of options exist, challenging the current landscape of proprietary tools. These can be classified as command-line interface, graphical user interface or web-based user interface tools and by the framework in which they were implemented, with numerous tools released as R, Python and JavaScript packages, and QGIS plugins. The review found a diverse and rapidly evolving ‘ecosystem’ tools, with 25 tools that were designed for geographic analysis to support transport planning outlined in terms of their popularity and functionality based on online documentation. They ranged in size from single-purpose tools such as the QGIS plugin AwaP to sophisticated stand-alone multi-modal traffic simulation software such as MATSim, SUMO and Veins. Building on their ability to re-use the most effective components from other open source projects, developers of open source transport planning tools can avoid ‘reinventing the wheel’ and focus on innovation, the ‘gamified’ A/B Street https://github.com/dabreegster/abstreet/#abstreet simulation software, based on OpenStreetMap, a case in point. The paper, the source code of which can be found at https://github.com/robinlovelace/open-gat, concludes that, although many of the tools reviewed are still evolving and further research is needed to understand their relative strengths and barriers to uptake, open source tools for geographic analysis in transport planning already hold great potential to help generate the strategic visions of change and evidence that is needed by transport planners in the twenty-first century.

show abstract

Section: Political Driversmentioning

confidence: 99%

Section: Introduction: Geographic Analysis In Transport Planningmentioning

confidence: 99%

See 1 more Smart Citation

Open source tools for geographic analysis in transport planning

Lovelace

2021

J Geogr Syst

View full text Add to dashboard Cite

show abstract

“…In this research, the structure of the traffic network is less considered, but from the traffic flow point of view, the accessibility of the zone for activities is discussed. Both the Oregon transportation land-use model improvement program (TLUMIP) [81] and TRANUS integrated land-use and transport model [82][83][84] cover almost all subsystems and consider the accessibility of feedback, with the TRANUS model discussed the growth of the multimodal network. The transportation and environment strategy impact simulator (TRESIS) [85] is used to predict the impact of transport strategies, and to make recommendations, accessibility indices were discussed.…”

Section: The Integrated Modelsmentioning

confidence: 99%

The Complex Network Theory‐Based Urban Land‐Use and Transport Interaction Studies

Ding

2019

Complexity

View full text Add to dashboard Cite

The research on complex networks offers novel insight into the analysis of complex urban systems. The objective of this article is to provide a review of complex network theory in urban land-use and transport studies to date. Some traditional integrated studies of urban land-use and traffic networks are summarized and analysed; related research gaps were proposed. Then, this paper reviewed the application of complex network theory in urban land-use and transport research and practice. It shows that the node importance identification method is critical for network protection or attack studies; the multiple centrality assessment and kernel density estimation approaches can be used to represent the intuitionistic connections of urban traffic networks and surrounding land-uses; it can be used to verify the changing trend and variation of landscape connectivity; also it can be applied to the identification of key changed land-use types in land-use cover change; the coevolution process can be treated as an integrated way to discuss the relationships between urban traffic network growth and land-use change, and the multilayer networks based analysis is a novel method to measure their interactions. This paper is essential in establishing apparent research interests and points out the further potential application of complex network theory in urban traffic network and land-use related studies.

show abstract

“…Because we faced limitations in data gathering, the traffic flow data was simulated using the TRANUS model. This model was developed by de la Barra and Perez in 1982 [24,25] and has been applied in studies of land use and transport in Baltimore, Sacramento, Osaka, Caracas, Bangalore and other cities [26]. In order to limit our simulation to commuter travel, we obtained locations of residences and locations of workplaces, then input these as origin nodes and destination nodes, respectively, for the TRANUS model simulation.…”

Section: Data Sourcementioning

confidence: 99%

Application of Source-Sink Landscape Influence Values to Commuter Traffic: A Case Study of Xiamen Island

Tang

Chen

et al. 2017

Sustainability

View full text Add to dashboard Cite

Landscape patterns are closely related to ecological processes. Different spatial scales and research methods may lead to different results. Therefore, it is crucial to choose suitable research methods when studying different landscape patterns and ecological processes. In the present study, the methods of source-sink landscape theory were applied to the interactions between urban landscape characteristics and commuter traffic behavior around the arterial roads in Xiamen Island. After classification of land use types using remote sensing images from the IKONOS satellite and ArcGIS software (ESRI, Redlands, CA, USA), the landscape patterns of areas surrounding arterial roads (within 1 km) were evaluated using source-sink landscape influence (SLI). The results showed that Xiamen Island's urban expressway had the highest SLI value (0.191), followed by the state highways (0.067), the provincial highways (0.030), and the county roads (0.025). When considering all road types, the correlation between a road's SLI value and its commuter traffic flow was 0.684. This result was explained by three observations: (1) The contribution of the core area of each landscape pattern to traffic flow was positively correlated with the traffic flow. (2) Areas surrounding the urban expressway and the state highways had lower values for Shannon's diversity index, indicating that these areas had a lower degree of landscape fragmentation. (3) The landscape patterns surrounding the urban expressway and the state highways were more concentrated and complex than those around other road types. The application of source-sink landscape pattern theory allows for researchers to integrate the relationships between landscape patterns surrounding roads and commuter traffic flow on those roads and to analyze the reasons for these relationships.

show abstract

TRANUS-J: putting large models into small computers

Cited by 62 publications

References 0 publications

Open source tools for geographic analysis in transport planning

Open source tools for geographic analysis in transport planning

The Complex Network Theory‐Based Urban Land‐Use and Transport Interaction Studies

Application of Source-Sink Landscape Influence Values to Commuter Traffic: A Case Study of Xiamen Island

Contact Info

Product

Resources

About