scholarly journals Uncertainty Propagation in an Integrated Land Use-Transportation Modeling Framework: Output Variation via UrbanSim

2002 ◽  
Vol 1805 (1) ◽  
pp. 128-135 ◽  
Author(s):  
Anant Pradhan ◽  
Kara Maria Kockelman
Keyword(s):  
Land Use ◽  
Uncertainty Propagation ◽  
Modeling Framework ◽  
Transportation Modeling

scholarly journals Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

2021 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Kyle D. Woodward ◽  
Narcisa G. Pricope ◽  
Forrest R. Stevens ◽  
Andrea E. Gaughan ◽  
Nicholas E. Kolarik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Resource Use ◽  
Training Data ◽  
Systems Science ◽  
Participatory Mapping ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Use Patterns ◽  
Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE

2021 ◽  
Author(s):  
Peter H. Verburg ◽  
Žiga Malek ◽  
Sean P. Goodwin ◽  
Cecilia Zagaria
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Land Use Changes ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Regional Modelling ◽  
Model Application ◽  
Climatic Regions ◽  
Single Region

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.

scholarly journals Land use-transportation modeling with UrbanSim: Experiences and progress

2010 ◽  
Vol 3 (2) ◽  
Author(s):  
Daniel Felsenstein ◽  
Kay Axhausen ◽  
Paul Waddell
Keyword(s):  
Land Use ◽  
Transportation Modeling

Assessment of Influence of Land Use–Transportation System on Travel Behavior

1997 ◽  
Vol 1607 (1) ◽  
pp. 105-115 ◽  
Author(s):  
Michael G. McNally ◽  
Anup Kulkarni
Keyword(s):  
Land Use ◽  
Travel Behavior ◽  
Transportation System ◽  
Transportation Systems ◽  
Neighborhood Design ◽  
Preliminary Assessment ◽  
Modeling Framework ◽  
Systematic Methodology ◽  
Definition Of ◽  
Planned Unit Development

An empirical assessment of the interaction between the land use–transportation system and travel behavior is presented. A methodology for identifying a range of land use–transportation systems by a clustering technique with network and land use inputs was developed. Twenty neighborhoods from Orange County, California, were considered in this process. Three groups, or themes, were found to best represent the neighborhoods in the sample area: one each associated with the conventional definition of traditional and neotraditional neighborhood design (TND) and planned unit development (PUD) neighborhoods and one representing neighborhoods that blend characteristics of TND and PUD. Conventional measures of individual travel behavior were compared with an analysis of variance between the themes to identify significant differences, controlling for socioeconomic characteristics. Research results include the development of (a) a systematic methodology to identify a more explicit land use–transportation dimension, (b) an estimate of the potential effectiveness of design-oriented solutions to reduce automobile congestion by using the developed themes, and (c) a preliminary assessment of the extent to which development themes can be used to improve the current modeling framework.

Multi-source data driven spatial changes of FFCO2 emissions balance and mitigation potential of different land use in China

2020 ◽  
Author(s):  
Jing Zhao ◽  
Guoqing Li ◽  
Jason Blake Cohen
Keyword(s):  
Land Use ◽  
Native Vegetation ◽  
Modeling Framework ◽  
Interconnected System ◽  
Mitigation Potential ◽  
Spatial Changes ◽  
Ongoing Work ◽  
Land Use Types ◽  
Underlying Causes ◽  
New Generation

<p>Estimates of fossil-fuel carbon dioxide (FFCO<sub>2</sub>) emissions in China are contingent on large uncertainty, and currently have enormous discrepancies among different inventories/datasets. The uncertainty is most attributed to underlying causes: only a few actual measurements and consumption data, and the statistical methods to confine the spatial resolution of FFCO<sub>2</sub>. In this study, an attempt is made to assess the heterogeneities and uncertainty associated with spatial distributions of emissions in six gridded FFCO<sub>2</sub> inventories/datasets, which are compared at a 0.25 × 0.25 degree resolution.</p><p>We extract signals of urban CO<sub>2</sub> emissions with a Deep Learning (DL) & Deep Reinforcement Learning (DRL) modeling framework from the existing new generation of satellite (OCO-2/GOSAT-2/TROPOMI) observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>). We then use the results as a proxy to further estimate of the FFCO<sub>2</sub> uncertainty. Subsequently, the estimated FFCO<sub>2</sub> uncertainty is included in an up-to-date multivariate spatial statistic to analyze China’s spatiotemporal FFCO<sub>2</sub> emissions balance, with a specific consideration made for the mitigation potential of different land-use types.</p><p>We find an interconnected system between the spatial FFCO<sub>2</sub> emissions distribution and two diverse factors being the most important: urbanization and either croplands (rainfed, irrigated, and post-flooding) or native vegetation. We have determined that wettability in croplands or the increase in native vegetation have an association with the decrease of FFCO<sub>2</sub> emissions. Ongoing work addresses the potential impacts of this FFCO<sub>2</sub> uncertainty on flux inversions.</p>

scholarly journals Simulasi Penggunaan Lahan dan Transportasi Massal untuk Pemodelan Pelayanan Jalan di Koridor Jalan Godean

2017 ◽  
Vol 31 (2) ◽  
pp. 88
Author(s):  
Okta Fajar Saputra ◽  
M. Pramono Hadi ◽  
Suharyadi Suharyadi
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Quantitative Method ◽  
Development Model ◽  
Mass Transportation ◽  
The Road ◽  
Capacity Ratio ◽  
Transportation Modeling ◽  
Transportation Development ◽  
Spatial Plan

AbstrakRendahnya tingkat pelayanan jalan menjadi salah satu permasalahan yang ada di Koridor Jalan Godean. Permasalahan tersebut dapat di atasi dengan pengendalian penggunaan lahan serta penyediaan angkutan massal. Penelitian ini dilakukan untuk memodelkan tingkat pelayanan jalan jika terjadi perubahan penggunaan lahan sesuai dokumen Rencana Detail Tata Ruang (RDTR) serta pemodelan jika dilakukan pembangunan angkutan massal. Metode yang digunakan dalam penelitian ini yaitu metode kuantitatif. Metode kuantitatif digunakan untuk menghitung nilai VCR (Volume - Capacity Ratio) eksisting, nilai VCR dengan pemodelan pembangunan sesuai RDTR, ketentuan nilai intensitas bangunan ideal, dan nilai VCR dengan pemodelan pembangunan angkutan massal. Hasil penelitian menunjukkan bahwa tingkat pelayanan jalan pada kondisi eksisting masih sangat rendah dan jauh dari kondisi ideal. Kondisi ini diperakan sama dengan yang terjadi di masa mendatang, bahkan tingkat pelayanan jalan di sebagian segmen jalan akan semakin menurun. Potensi volume kendaraan tidak dapat ditampung oleh ruas jalan yang ada. Ketentuan intensitas bangunan perlu diturunkan sebesar 44,5% di segmen 2 dan sebesar 74,9% di segmen 4 dari nilai koefisien nilai bangunan (KLB) yang sudah direncanakan. Selain menurunkan intensitas bangunan, tingkat pelayanan jalan dapat ditingkatkan dengan pembangunan angkutan massal. Hasil pemodelan menggunakan angkutan massal menunjukkan bahwa moda transportasi yang masih memungkinkan untuk dibangun di Koridor Jalan Godean yaitu monorail dan trem dengan model jalur trem tidak eksklusif. Namun, jika pembangunan angkutan massal yang dipilih berupa trem, maka masih diperlukan penurunan ketentuan intensitas bangunan sekitar 37,8% di segmen 2 dan sekitar 68,78% di segmen 4 dari nilai KLB yang sudah direncanakan. AbstractThe low road service of Godean Corridor has become problematic. Since this problem can be dealt with by controlling land use and providing feasible mass transportation, this research aimed to model the level of road service if the land use change occurred in line with the Detailed Spatial Plan (DSP) and in the case of mass transportation development. The research used a quantitative method to calculate the existing Volume-Capacity Ratio (VCR), the VCR in DSP-based development model, the prerequisites for ideal building intensity, and the VCR in mass transportation-based development model. The results showed that the current road service was very low and far from ideal. This condition was estimated to persist in the future. The road services in some segments were also estimated to decline continuously. The current road could not accommodate the existing and potential of the traffic volume. The stipulation of building intensity has to be reduced by 44.5% in segment 2 and 74.9% in segment 4 from the previously planned building value coefficient. Aside from reducing the building intensity, the road service can also be increased by developing mass transportation. The results of mass transportation modeling showed that the feasible modes of transportation on the corridor were monorail and tram with non-exclusive tramway model. However, if the selected transportation is tram, then the building intensity has to be reduced by 37.8% in segment 2 and 68.78% in segment 4 from the predefined building value coefficient.

scholarly journals Modeling the relative role of human mobility, land-use and climate factors on dengue outbreak emergence in Sri Lanka

2018 ◽  
Author(s):  
Ying Zhang ◽  
Jefferson Riera ◽  
Kayla Ostrow ◽  
Sauleh Siddiqui ◽  
Harendra de Silva ◽  
...  
Keyword(s):  
Land Use ◽  
Sri Lanka ◽  
Vector Control ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Human Mobility ◽  
Relative Role ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Dengue Outbreak

AbstractBackgroundMore than 80,000 dengue cases including 215 deaths were reported nationally in less than seven months between 2016-2017, a fourfold increase in the number of reported cases compared to the average number over 2010-2016. The region of Negombo, located in the Western province, experienced the greatest number of dengue cases in the country and is the focus area of our study, where we aim to capture the spatial-temporal dynamics of dengue transmission.MethodsWe present a statistical modeling framework to evaluate the spatial-temporal dynamics of the 2016-2017 dengue outbreak in the Negombo region of Sri Lanka as a function of human mobility, land-use, and climate patterns. The analysis was conducted at a 1 km × 1 km spatial resolution and a weekly temporal resolution.ResultsOur results indicate human mobility to be a stronger indicator for local outbreak clusters than land-use or climate variables. The minimum daily temperature was identified as the most influential climate variable on dengue cases in the region; while among the set of land-use patterns considered, urban areas were found to be most prone to dengue outbreak, followed by areas with stagnant water and then coastal areas. The results are shown to be robust across spatial resolutions.ConclusionsOur study highlights the potential value of using travel data to target vector control within a region. In addition to illustrating the relative relationship between various potential risk factors for dengue outbreaks, the results of our study can be used to inform where and when new cases of dengue are likely to occur within a region, and thus help more effectively and innovatively, plan for disease surveillance and vector control.

scholarly journals New land use change scenarios for Brazil: refining global SSPs with a regional spatially-explicit allocation model

2021 ◽  
Author(s):  
Francisco Gilney Silva Bezerra ◽  
Celso Von Randow ◽  
Talita Oliveira Assis ◽  
Karine Rocha Aguiar Bezerra ◽  
Graciela Tejada ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Forest Restoration ◽  
Global Climate ◽  
Global Analysis ◽  
Spatially Explicit ◽  
Surface Model ◽  
Modeling Framework ◽  
Allocation Model ◽  
The Future

The future of land use and cover change in Brazil, in particular due to deforestation and forest restoration processes, is critical for the future of global climate and biodiversity, given the richness of its five biomes. These changes in Brazil depend on the interlink between global factors, due to its role as one of the main exporters of commodities in the world, and the national to local institutional, socioeconomic and biophysical contexts. Aiming to develop scenarios that consider the balance between global and local factors, a new set of land use change scenarios for Brazil were developed, aligned with the global structure Shared Socio-Economic Pathways (SSPs) and Representative Concentration Pathway (RCPs) developed by the global change research community. The narratives of the new scenarios align with  SSP1/RCP 1.9, SSP2/RCP 4.5, and SSP3/RCP 7.0. The scenarios were developed combining the LuccME spatially explicit land change allocation modeling framework and the INLAND surface model to incorporate the climatic variables in water deficit.  Based on detailed biophysical, socio-economic and institutional factors for each biome in Brazil, we have created spatially-explicit scenarios  until 2050, considering the following classes: forest vegetation, grassland vegetation, planted pasture, agriculture, mosaic of small land uses, and forestry. The results aim at regionally detailing global models and could be used both regionally to support decision-making, but also to enrich global analysis.

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