Teamwork-oriented integrated modeling method for geo-problem solving

Chen, Min; Yue, Songshan; Lv, Guonian; Lin, Hui; Yang, Chaowei; Wen, Yongning; Hou, Tao; Xiao, Dawei; Jiang, Hao

doi:10.1016/j.envsoft.2019.05.015

Cited by 37 publications

(8 citation statements)

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“…Similarly, we do not consider in the current study the effect of the epidemic on technology progress and production structure reform although the reduction effect of technology progress could be significant [55] . The impact of the epidemic is worthy of further investigation from both the supply and the demand side with the support of integrated modeling and the big data of human behaviors [56] , [57] .…”

Section: Conclusion and Discussionmentioning

confidence: 99%

CO2 emissions inequality through the lens of developing countries

Huang

2021

Applied Energy

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Section: Conclusion and Discussionmentioning

confidence: 99%

CO2 emissions inequality through the lens of developing countries

Huang

2021

Applied Energy

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“…Shared bicycles play an important role in connecting bicycles to urban public transportation systems, such as subways and buses. Model is important tool for geographic analysis [35][36][37][38][39][40], as well as urban dynamic analysis. The maximum coverage location problem (MCLP) model was used to calculate the number of shared bicycle OD points that could be covered as much as possible by subway and bus stations within a given road network distance.…”

Section: Od Points Associated With the Subway And Bus Stationsmentioning

confidence: 99%

Effects of Free-Floating Shared Bicycles on Urban Public Transportation

Cao

Huang

et al. 2019

IJGI

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As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-temporal characteristics of shared bicycles in the city of Beijing by using kernel density estimation and statistical analysis methods. The maximum coverage location problem model is used to quantify the effects of shared bicycles on the subway and bus urban public transportation systems. The analysis results are of great importance to identify the effects of shared bicycle usage on an urban bus public transportation system from the view of space-time. The results show that (1) shared bicycles are largely located within 1.5 km from the subway station and 500 m from the bus stations; (2) the number of the shared bicycle usage changes along with the distance from the subway and bus stations; (3) subway and bus stations are divided into six types based on the sink-source characteristics of shared bicycles; (4) the service areas of subway and bus stations are expanded by approximately 2.34 and 1.33 times, respectively, after the implementation of shared bicycles. characteristics of shared bicycles, some studies have identified different purposes of cyclists, such as commuting and recreational usage [7,11,15]. Some studies have proposed the spatial-temporal clustering of bicycles to explore the collective behavior of bike sharing users [8,16,17]. It has been demonstrated that the analyses of the characteristics of shared bicycle trips are helpful for making decisions on the allocation and dispatching of shared bicycles [18][19][20].However, shared bicycles, as an alternative mode of public transportation [21], are embedded in the space where the original public transportation is located. The accessibility of the traffic network and the service level of public transportation have a significant correlation with shared bicycle usage [22]. Therefore, studying the effects of shared bicycles on urban public transportation is an important research topic. The existing research qualitatively analyzed the great contribution of shared bicycles in relieving the pressure on public transportation systems [23][24][25]. Some scholars have analyzed the effects of public bicycle systems on the travel time of public transportation, and the results showed that public bicycle systems improved the efficiency of urban public transport trips [26][27][28]. Some scholars quantitatively analyzed the effects of a dockless bike-sharing system on the public bike system [29]. However, few studies have quantitatively analyzed the influence of shared bicycles on the urban public transportation system from a spatial perspective.The objective of this paper is to analyze the spatial-temporal characteristics of dockless shared bicycle trips to quantitatively explore its influence on public transportation. The remainder of this paper is organized into the followin...

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“…More recent efforts include a collaborative web-based platform through which the conceptual, semantic and technical integration occurs (OpenGMS, in Chen et al, 2019 ; Chen et al, 2020 ). Faster feedback between participants then allows identified issues to be addressed earlier.…”

Section: Scale Issues To Considermentioning

confidence: 99%

Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

Iwanaga

Wang

Hamilton

et al. 2021

Environmental Modelling & Software

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System-of-systems approaches for integrated assessments have become prevalent in recent years. Such approaches integrate a variety of models from different disciplines and modeling paradigms to represent a socio-environmental (or social-ecological) system aiming to holistically inform policy and decision-making processes. Central to the system-of-systems approaches is the representation of systems in a multi-tier framework with nested scales. Current modeling paradigms, however, have disciplinary-specific lineage, leading to inconsistencies in the conceptualization and integration of socio-environmental systems. In this paper, a multidisciplinary team of researchers, from engineering, natural and social sciences, have come together to detail socio-technical practices and challenges that arise in the consideration of scale throughout the socio-environmental modeling process. We identify key paths forward, focused on explicit consideration of scale and uncertainty, strengthening interdisciplinary communication, and improvement of the documentation process. We call for a grand vision (and commensurate funding) for holistic system-of-systems research that engages researchers, stakeholders, and policy makers in a multi-tiered process for the co-creation of knowledge and solutions to major socio-environmental problems.

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Teamwork-oriented integrated modeling method for geo-problem solving

Cited by 37 publications

References 50 publications

CO2 emissions inequality through the lens of developing countries

CO2 emissions inequality through the lens of developing countries

Effects of Free-Floating Shared Bicycles on Urban Public Transportation

Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach

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