scholarly journals Influence Factors of Spatial Distribution of Urban Innovation Activities Based on Ensemble Learning: A Case Study in Hangzhou, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1016 ◽  
Author(s):  
Jiwu Wang ◽  
Nina Liu ◽  
Yichen Ruan
Keyword(s):  
Spatial Distribution ◽  
Public Transportation ◽  
Influence Factors ◽  
Impact Mechanism ◽  
Location Selection ◽  
Innovation Activities ◽  
Innovation Space ◽  
Ensemble Algorithms ◽  
The Impact

Innovation is an inevitable way for cities to achieve sustainable development. The occurrence of innovation activities is a complex systemic behavior. Its spatial distribution has some location selection laws, which are the result of interaction and feedback between various spatial influence factors. We explain the impact mechanism from the microscale using a street unit in a city. Hangzhou was selected as a case study. First, we systematically selected factors influencing the spatial distribution of innovation activities as the independent variable based on the demands of innovation subjects. Patents were used as the dependent variable to represent the spatial distribution of innovation activities. Second, ensemble algorithms (Boosting) were used to analyze the influence contribution of independent variables to dependent variables. Then, based on the aspects of innovation driving force, which are innovation resources and innovation environments, relevant factors were divided into the following seven categories: innovation industry concentration, knowledge intensity, innovative talent resources, service facilities, external transportation convenience, public transportation convenience, and ecological environment. We interpreted the impact mechanism and made corresponding suggestions for urban innovation space planning.

Transit networks, social contacts and open data meet public transportation plans for post-COVID-19: A Canadian case study

2021 ◽  
Author(s):  
Oliver Benning ◽  
Jonathan Calles ◽  
Burak Kantarci ◽  
Shahzad Khan
Keyword(s):  
Public Transportation ◽  
Population Distribution ◽  
Open Data ◽  
Practical Method ◽  
Municipal Services ◽  
Transit Network ◽  
Research Findings ◽  
Pandemic Response ◽  
The Impact

This article presents a practical method for the assessment of the risk profiles of communities by tracking / acquiring, fusing and analyzing data from public transportation, district population distribution, passenger interactions and cross-locality travel data. The proposed framework fuses these data sources into a realistic simulation of a transit network for a given time span. By shedding credible insights into the impact of public transit on pandemic spread, the research findings will help to set the groundwork for tools that could provide pandemic response teams and municipalities with a robust framework for the evaluations of city districts most at risk, and how to adjust municipal services accordingly.

scholarly journals A Quantitative Evaluation of the Multiple Narratives of the Recent Sahelian Regreening*

2016 ◽  
Vol 8 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Mimi Stith ◽  
Alessandra Giannini ◽  
John del Corral ◽  
Susana Adamo ◽  
Alex de Sherbinin
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Environmental Change ◽  
Burkina Faso ◽  
Social Dimensions ◽  
Adaptation To Climate Change ◽  
Southern Central ◽  
Second Category ◽  
The Impact

Abstract A spatial analysis is presented that aims to synthesize the evidence for climate and social dimensions of the “regreening” of the Sahel. Using an independently constructed archival database of donor-funded interventions in Burkina Faso, Mali, Niger, and Senegal in response to the persistence of drought in the 1970s and 1980s, the spatial distribution of these interventions is examined in relation to population density and to trends in precipitation and in greenness. Three categories of environmental change are classified: 1) regions at the northern grassland/shrubland edge of the Sahel where NDVI varies interannually with precipitation, 2) densely populated cropland regions of the Sahel where significant trends in precipitation and NDVI decouple at interannual time scales, and 3) regions at the southern savanna edge of the Sahel where NDVI variation is independent of precipitation. Examination of the spatial distribution of environmental change, number of development projects, and population density brings to the fore the second category, covering the cropland areas where population density and regreening are higher than average. While few, regions in this category coincide with emerging hotspots of regreening in northern Burkina Faso and southern central Niger known from case study literature. In examining the impact of efforts to rejuvenate the Sahelian environment and livelihoods in the aftermath of the droughts of the 1970s and 1980s against the backdrop of a varying and uncertain climate, the transition from desertification to regreening discourses is framed in the context of adaptation to climate change.

The Application of GIS in Analysis of Gross Agricultural Production: A Case Study of Hainan Island, China

2013 ◽  
Vol 864-867 ◽  
pp. 2825-2829
Author(s):  
Zhen Mu Cao ◽  
Zi Ji Liu ◽  
Deng Feng Wang
Keyword(s):  
Spatial Distribution ◽  
Agricultural Production ◽  
Influence Factors ◽  
Hainan Island ◽  
The Sustainable Development ◽  
Agricultural Growth ◽  
Agricultural Planning ◽  
Agricultural Structure ◽  
Sown Area

To explore the distribution of gross agricultural production (GPA) is significant to the sustainable development of tropical agricultural growth. Taking Hainan Island as the study area, the spatial distribution and influence factors of GPA were elucidated by applying the GIS spatial analysis tools and factor analysis. The results showed that the distribution of Hainan GAP was uneven. The uneven distribution of GAP in counties was mainly caused by the variation of agricultural structure. The GPA was mainly determined by SAV, NEPA, and SAG. The distribution characters of Factor 1 was similar with the distribution of GAP in study area, and some agricultural planning can be made to improve the GAP of middle Hainan area, ie, increasing the sown area of vegetables and labor force input.

scholarly journals Transit networks, social contacts and open data meet public transportation plans for post-COVID-19: A Canadian case study

2021 ◽  
Author(s):  
Oliver Benning ◽  
Jonathan Calles ◽  
Burak Kantarci ◽  
Shahzad Khan
Keyword(s):  
Public Transportation ◽  
Population Distribution ◽  
Open Data ◽  
Practical Method ◽  
Municipal Services ◽  
Transit Network ◽  
Research Findings ◽  
Pandemic Response ◽  
The Impact

This article presents a practical method for the assessment of the risk profiles of communities by tracking / acquiring, fusing and analyzing data from public transportation, district population distribution, passenger interactions and cross-locality travel data. The proposed framework fuses these data sources into a realistic simulation of a transit network for a given time span. By shedding credible insights into the impact of public transit on pandemic spread, the research findings will help to set the groundwork for tools that could provide pandemic response teams and municipalities with a robust framework for the evaluations of city districts most at risk, and how to adjust municipal services accordingly.

scholarly journals Assessment of the Impact of a New Motorway Connection on the Spatial Distribution and Intensity of Traffic Flows: a Case Study of the D47 Motorway, Czech Republic/ Hodnocení vlivu nového dálničního spojení na prostorovou distribuci a intenzitu přepravních proudů: příklad dálnice D47

2014 ◽  
Vol 22 (4) ◽  
pp. 14-24 ◽  
Author(s):  
Jakub Chmelík ◽  
Miroslav Marada
Keyword(s):  
Spatial Distribution ◽  
Central Element ◽  
Real Data ◽  
Transport Infrastructure ◽  
Traffic Load ◽  
Traffic Flows ◽  
Before And After ◽  
Spatial Redistribution ◽  
The Impact

Abstract Assessing changes in the spatial distribution and intensity of traffic flow patterns, considered one of the main direct influences of the construction of transport infrastructure, is discussed in this paper. The central element of the research is a case study assessing such changes in connection with the opening of the D47 motorway in its Lipník nad Bečvou-Ostrava section. The aim of the study is a comparison of traffic conditions before and after the opening of the motorway. The real data on the traffic load of the motorway sections are compared with the official and our own forecast, which is based on applying a basic form of the gravity model for the given area. The results of the analysis confirmed intuitive assumptions about changes in the spatial redistribution of traffic flows.

Gamification as an Intervention Method in Practice-Based Innovation

2015 ◽  
Vol 12 (04) ◽  
pp. 1550018 ◽  
Author(s):  
Mirva Hyypiä ◽  
Satu Parjanen
Keyword(s):  
Open Innovation ◽  
Successful Method ◽  
Innovation Activities ◽  
A Value ◽  
Intervention Method ◽  
Research Questions ◽  
The Impact ◽  
Innovation Processes

This paper concentrates on the possibilities offered by gamification in practice-based innovation activities. It addresses the following research questions: How does gamification enhance creativity in practice-based innovation? How can gamification be modified into a method that facilitates experiences of gamefulness? A case study presented in the paper examines the impact of gamification in co-creating a value-adding network for open innovation processes between organizations. The results indicate that gamification can be developed into a successful method that enhances creativity and interaction among collaborators.

Towards Sustainable Liveable City: Management Operations of Shared Autonomous Cargo-Bike Fleets

2021 ◽  
Vol 1 (3) ◽  
pp. 505-532
Author(s):  
Imen Haj Salah ◽  
Vasu Dev Mukku ◽  
Malte Kania ◽  
Tom Assmann
Keyword(s):  
Public Transportation ◽  
Service Level ◽  
City Management ◽  
Sustainable Mobility ◽  
Fleet Size ◽  
On Demand ◽  
Mobility Service ◽  
Cargo Bike ◽  
The Impact

Finding a sustainable mobility solution for the future is one of the most competitive challenges in the logistics and mobility sector at present. Policymakers, researchers, and companies are working intensively to provide novel options that are environmentally friendly and sustainable. While autonomous car-sharing services have been introduced as a very promising solution, an innovative alternative is arising: the use of self-driving bikes. Shared autonomous cargo-bike fleets are likely to increase the livability and sustainability of the city, as the use of cargo-bikes in an on-demand mobility service can replace the use of cars for short-distance trips and enhance connectivity to public transportation. However, more research is needed to develop this new concept. In this paper, we investigate different rebalancing strategies for an on-demand, shared-use, self-driving cargo-bikes service (OSABS). We simulate a case study of the system in the inner city of Magdeburg using AnyLogic. The simulation model allows us to evaluate the impact of rebalancing on service level, idle mileage, and energy consumption. We conclude that the best proactive rebalancing strategy for our case study is to relocate bikes only between neighboring regions. We also acknowledge the importance of bike relocation to improve service efficiency and reduce fleet size.

scholarly journals Evaluating the Impact of the Spatial Distribution of Land Management Practices on Water Erosion: Case Study of a Mediterranean Catchment

2015 ◽  
Vol 20 (6) ◽  
Author(s):  
Silvio Jose Gumiere ◽  
Jean-Stephane Bailly ◽  
Bruno Cheviron ◽  
Damien Raclot ◽  
Yves Le Bissonnais ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Land Management ◽  
Management Practices ◽  
Water Erosion ◽  
The Impact

scholarly journals Spatiotemporal Characteristics of Drought and Driving Factors Based on the GRACE-Derived Total Storage Deficit Index: A Case Study in Southwest China

2020 ◽  
Vol 13 (1) ◽  
pp. 79
Author(s):  
Tingtao Wu ◽  
Wei Zheng ◽  
Wenjie Yin ◽  
Hanwei Zhang
Keyword(s):  
Spatial Distribution ◽  
Southwest China ◽  
Standardized Precipitation Index ◽  
Partial Least Square ◽  
Least Square ◽  
Severe Drought ◽  
Drought Event ◽  
Comparison Results ◽  
The Impact

Drought monitoring is useful to minimize the impact of drought on human production and the natural environment. Gravity Recovery and Climate Experiment (GRACE) satellites can directly capture terrestrial water storage anomalies (TWSA) in the large basin, which represents a new source of hydrological information. In this study, the GRACE-based total storage deficit index (TSDI) is employed to investigate the temporal evolution and spatial distribution of drought in Southwest China from 2003 to 2016. The comparison results of TSDI with the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index (SPEI), and the self-calibrating Palmer drought severity index (SC-PDSI) show that TSDI has significant consistency with them, which verifies the reliability of TSDI. The spatial distribution of TSDI was more consistent with the governmental drought reports than SC-PDSI in the most severe drought event from September 2009 to April 2010. Finally, the links between drought and climate indicators are investigated using the partial least square regression (PLSR) model. The results show that insufficient precipitation has the most significant impact on drought in Southwest China, followed by excessive evaporation. Although Southwest China is selected as a case study in this paper, the method can be applied in other regions as well.

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