scholarly journals EFFECTS OF INFORMATION INCOMPLETENESS ON COMPETITIVE PROVISION OF LOCAL PUBLIC FACILITIES

2002 ◽  
Vol 19 ◽  
pp. 181-186
Author(s):  
Kei FUKUYAMA ◽  
Kentaro NISHIGUCHI
Keyword(s):  
Public Facilities ◽  
Information Incompleteness

A study on the status of ACM use and characteristics in some public facilities in Korea

2015 ◽  
Vol 14 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Min-jong Lee ◽  
◽  
Joon-sig Jung ◽  
Yoon-shin Kim
Keyword(s):  
Public Facilities ◽  
The Status

Suggestions for management of indoor air quality in public facilities

2020 ◽  
Vol 19 (2) ◽  
pp. 101-110 ◽  
Author(s):  
Hyun-Jin Choi ◽  
Yumi Kim ◽  
Byung Kwon Lee
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Public Facilities

Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size

2017 ◽  
Vol 45 (3) ◽  
pp. 508-528 ◽  
Author(s):  
Andres Sevtsuk ◽  
Raul Kalvo
Keyword(s):  
Spatial Configuration ◽  
Analysis Tool ◽  
Spatial Networks ◽  
Urban Network ◽  
Household Level ◽  
New Town ◽  
New Towns ◽  
Public Facilities ◽  
User Access ◽  
Retail Demand

We introduce a version of the Huff retail expenditure model, where retail demand depends on households’ access to retail centers. Household-level survey data suggest that total retail visits in a system of retail centers depends on the relative location pattern of stores and customers. This dependence opens up an important question—could overall visits to retail centers be increased with a more efficient spatial configuration of centers in planned new towns? To answer this question, we implement the model as an Urban Network Analysis tool in Rhinoceros 3D, where facility patronage can be analyzed along spatial networks and apply it in the context of the Punggol New Town in Singapore. Using fixed household locations, we first test how estimated store visits are affected by the assumption of whether shoppers come from homes or visit shops en route to local public transit stations. We then explore how adjusting both the locations and sizes of commercial centers can maximize overall visits, using automated simulations to test a large number of scenarios. The results show that location and size adjustments to already planned retail centers in a town can yield a 10% increase in estimated store visits. The methodology and tools developed for this analysis can be extended to other context for planning and right-sizing retail developments and other public facilities so as to maximize both user access and facilities usage.

scholarly journals The causes of infertility in women presenting to gynaecology clinics in Harare, Zimbabwe; a cross sectional study

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mugove G. Madziyire ◽  
Thulani L. Magwali ◽  
Vasco Chikwasha ◽  
Tinovimba Mhlanga
Keyword(s):  
Assisted Reproduction ◽  
Cross Sectional Study ◽  
Male Factor ◽  
Cross Sectional ◽  
Unprotected Sexual Intercourse ◽  
Assisted Reproduction Techniques ◽  
Public Facilities ◽  
Tubal Blockage ◽  
Private And Public

Abstract Background Infertility affects 48.5 million couples globally. It is defined clinically as failure to conceive after 12 months or more of regular unprotected sexual intercourse. The contribution of various aetiological factors to infertility differs per population. The causes of infertility have not been assessed in Zimbabwe. Our objectives were to determine the reproductive characteristics, causes and outcomes of women presenting for infertility care. Methods A retrospective and prospective study of women who had not conceived within a year of having unprotected intercourse presenting in private and public facilities in Harare was done. A diagnosis was made based on the history, examination and results whenever these were deemed sufficient. Data was analysed using STATA SE/15. A total of 216 women were recruited. Results Of the 216 women recruited, two thirds (144) of them had primary infertility. The overall period of infertility ranged from 1 to 21 years with an average of 5.6 ± 4.7 years whilst 98 (45.4%) of the couples had experienced 2–4 years of infertility and 94 (43.5%) had experience 5 or more years of infertility. About 1 in 5 of the women had irregular menstrual cycles with 10 of them having experienced amenorrhoea of at least 1 year. Almost half of the participants (49%) were overweight or obese. The most common cause for infertility was ‘unexplained’ in 22% of the women followed by tubal blockage in 20%, male factor in 19% and anovulation in 16%. Of the 49 (22.7%) women who conceived 21(9.7%) had a live birth while 23 (10.7%) had an ongoing pregnancy at the end of follow up. Thirty-seven (17.1%) had Assisted Reproduction Techniques (ART) in the form of Invitro-fertilisation/Intracytoplasmic Sperm Injection (IVF/ICSI) or Intra-Uterine Insemination (IUI). Assisted Reproduction was significantly associated with conception. Conclusion Most women present when chances of natural spontaneous conception are considerably reduced. This study shows an almost equal contribution between tubal blockage, male factor and unexplained infertility. Almost half of the causes are female factors constituted by tubal blockage, anovulation and a mixture of the two. Improved access to ART will result in improved pregnancy rates. Programs should target comprehensive assessment of both partners and offer ART.

scholarly journals Research on the Method of Urban Jobs-Housing Space Recognition Combining Trajectory and POI Data

2021 ◽  
Vol 10 (2) ◽  
pp. 71
Author(s):  
Ya Zhang ◽  
Jiping Liu ◽  
Yong Wang ◽  
Yungang Cao ◽  
Youda Bai
Keyword(s):  
Flow Model ◽  
Trajectory Data ◽  
Dynamic Flow ◽  
Public Facilities ◽  
Point Of Interest ◽  
Recognition Result ◽  
Different Types ◽  
Core Issue ◽  
Space Recognition ◽  
New Framework

With the gradual emergence of the separation and dislocation of urban jobs-housing space, rational planning of urban jobs-housing space has become the core issue of national land-spatial planning. To study the existing relationship between workspaces and living spaces, a new method to identify jobs-housing space is proposed, which not only considers the static spatial distribution of urban public facilities but also identifies the jobs-housing space by analyzing the real mobility characteristics of people from a humanistic perspective. This method provides a new framework for the identification of urban jobs-housing space by integrating point-of-interest (POI) and trajectory data. The method involves three steps: Firstly, based on the trajectory data, we analyze the characteristics of the dynamic flow of passengers in the grid and construct the living factors and working factors to identify the distribution of jobs-housing space. Secondly, we reclassify the POIs to calculate the category ratios of different types of POIs in the grid to identify the jobs-housing space. Finally, an OR operation is performed on the results obtained by the two methods to obtain the final recognition result. We selected Haikou City as the experimental area to verify the method proposed in this paper. The experimental results show that the recognition accuracy of the travel flow model is 72.43%, the POI quantitative recognition method’s accuracy is 74.94%, and the accuracy of the method proposed in this paper is 85.90%, which is significantly higher than the accuracy of the previous two methods. Therefore, the method proposed here can serve as a reference for subsequent research on urban jobs-housing space.

Public Facilities Design in Sustainable Ways for Reconstruction Work of Yushu Area

2014 ◽  
Vol 672-674 ◽  
pp. 2195-2210
Author(s):  
Ang Li ◽  
Shu Bin Kan ◽  
Xin Zhang ◽  
Xin Yu Song ◽  
Shi Long Zhang
Keyword(s):  
Design Theory ◽  
Physical Models ◽  
Overall Design ◽  
Public Facilities ◽  
Local Characteristics ◽  
Current State ◽  
Environmental Friendly ◽  
The World ◽  
Facilities Design ◽  
Pros And Cons

The region of Yushu has fragile natural environment. In 2010, it suffered severe damages caused by earthquakes. This paper subject, on the basis of status research of natural and cultural environment in Yushu area and urban public facilities across the world, is aiming at a design attempt of public facilities suitable for Yushu area under the guidance of sustainable-development design theory. After constructing computer models, we made physical models to further test the reliability of our scheme. The overall design acts according to circumstances, and makes it environmental friendly, developmental sustainable, economical, aesthetic, practical and reliable. We also added to our design some local characteristics to make it better integrate into the local natural environmental features so that it could be widely used. In the end, we summarized the pros and cons of the scheme through theoretical analysis of our design process, despite that, in June 2014, we had an on-the-spot investigation in Yushu, and according to its current state of development, we made outlooks of our further scheme practice.

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