scholarly journals A MULTI CRITERIA RECOMMENDATION MODEL FOR JAUNT

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 879-884
Author(s):  
A. Razavi ◽  
F. Hosseinali
Keyword(s):  
Recommender Systems ◽  
Automated System ◽  
Background Information ◽  
Board Game ◽  
Considerable Time ◽  
Short Term ◽  
The Cost ◽  
Mixed Groups ◽  
The City

Abstract. Nowadays, people in most parts of the world always visit, travel and have fun in their cities or other cities, and they spend considerable time and money in their city or in other cities as a tourist. The existence of an intelligent and automated system that can provide the most suitable recreational and cultural offerings at any time and place, with regard to financial capability and time and transport constraints, as well as individual interests and personalization; has always been felt. Recommender systems can be used to suggest suitable recreational options for the user. The main difference between the recommendation model in this study and the previous models is to focus on the short-term planning of a few hours for one day. Previous models were often based on planning a few days a week or days of the month. Also, the cost factor has been considered in this research, which has been less considered in previous models. We used collaborative filtering based on logistic regression to predict whether a type of places is a proper proposition to a user or not. Our case study is about recommending the board game cafés in the city of Kerman, Iran and the result shows that mixed groups between 15 to 30 years old are the best target and our model can predict if board game café is a good suggestion to different users. We used correlation based recommender systems when board game cafes are a proper suggestion for a user and there are at least two options for the user. In case there is no information about the user and his previous rating, popularity based recommender system can be useful. We also used content based recommender systems to give recommendations by having some background information about previous itineraries of a user and his rating to those.

Emplacing Berlin: Digital Itineraries and Short-term Study Abroad in the City

2018 ◽  
Vol 12 (1) ◽  
pp. 26-36 ◽  
Author(s):  
Richard B. Apgar
Keyword(s):  
Study Abroad ◽  
Urban Landscape ◽  
Physical Space ◽  
Short Term ◽  
Study Abroad Programs ◽  
Term Study ◽  
Digital Maps ◽  
Short Term Study ◽  
The City

As destination of choice for many short-term study abroad programs, Berlin offers students of German language, culture and history a number of sites richly layered with significance. The complexities of these sites and the competing narratives that surround them are difficult for students to grasp in a condensed period of time. Using approaches from the spatial humanities, this article offers a case study for enhancing student learning through the creation of digital maps and itineraries in a campus-based course for subsequent use during a three-week program in Berlin. In particular, the concept of deep mapping is discussed as a means of augmenting understanding of the city and its history from a narrative across time to a narrative across the physical space of the city. As itineraries, these course-based projects were replicated on site. In moving from the digital environment to the urban landscape, this article concludes by noting meanings uncovered and narratives formed as we moved through the physical space of the city.

Gentrifiers Against Gentrification

2020 ◽  
pp. 1-23
Author(s):  
Jorge André Guerreiro ◽  
João Filipe Marques
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Fishing Industry ◽  
Short Term ◽  
Industrial City ◽  
The Future ◽  
Historic Centre ◽  
South Portugal ◽  
The City

This chapter presents a case-study of tourism gentrification in a fishing town in Algarve, South Portugal. Olhão is a former industrial city that saw much of its fishing industry disappear since the 1980s. Over the last few years, hundreds of foreigners have moved into its historic centre. This rapid influx of citizens to derelict neighbours mostly comprised of old retirees and few active fishermen prompted a gentrification process. Olhão now faces the threat of mass displacements of its older and most vulnerable citizens, a fact that is worrying the foreigners that criticize the touristification of the city, with rents at historical highs and landlords forcing out the Portuguese residents in order to promote short-term rentals to tourists. The chapter presents the results obtained from an extensive mixed-methods research, ending with some notes about the future of the city and the implications that can be taken from this case.

scholarly journals Estimating the Impact of Medical Innovation: A Case Study of HIV Antiretroviral Treatments

2008 ◽  
Vol 11 (2) ◽  
Author(s):  
Mark G Duggan ◽  
William N Evans
Keyword(s):  
Health Care ◽  
Good Alternative ◽  
Care Utilization ◽  
Short Term ◽  
Fda Approval ◽  
New Treatments ◽  
The Cost ◽  
The Impact ◽  
Average Health

As health care consumes a growing share of GDP, the demand for better evidence regarding the effects of health care treatments and how these vary across individuals is increasing. Estimating this with observational data is difficult given the endogeneity of treatment decisions. But because the random assignment clinical trials (RACTs) used in the FDA approval process only estimate average health effects and do not consider spending, there is no good alternative. In this study we use administrative data from California's Medicaid program to estimate the impact of HIV antiretroviral treatments (ARVs). We use data on health care utilization to proxy for health status and exploit the rapid takeup of ARVs following their FDA approval. Our estimate of a 68 percent average mortality rate reduction is in line with the results from RACTs. We also find that the ARVs lowered short-term health care spending by reducing expenditures on other categories of medical care. Combining these two effects we estimate the cost per life year saved at $19,000. Our results suggest an alternative method for estimating the real-world effects of new treatments that is especially well-suited to those treatments that diffuse rapidly following their approval.

Environmental and social follow-up costs of traffic in cities: A case study of the city of Augsburg differentiated by means of transport

2020 ◽  
Author(s):  
Benjamin Oebel ◽  
Dr. Tobias Gaugler
Keyword(s):  
Public Transport ◽  
Air Pollutants ◽  
Social Costs ◽  
External Costs ◽  
Environmental Costs ◽  
The Social ◽  
The Cost ◽  
The City

<p><strong>Keywords:</strong> External costs, mobility, environmental costs, social costs, monetarization</p> <p> </p> <p><strong>Purpose: </strong>This study provides a methodology to evaluate the environmental and social costs, which arise from traffic in the German city of Augsburg. Social costs are driven by air pollutants such as nitric oxides or particulate matter, causing health damages. Environmental follow-up costs are driven by the emission of greenhouse gases. Furthermore, approaches for a successful transformation towards a car-free city are shown.</p> <p><strong>Method: </strong>Based on traffic data from the Augsburg Civil Engineering Office, as well as traffic shares from the German Federal Motor Transport Authority, the average emission factors of vehicles on Augsburg´s streets and, subsequently, the total traffic emissions on municipal roads in the city are quantified. The environmental as well as the social consequences are monetarized using the cost rates by Matthey and Bünger (2019) and van Essen et al. (2019). Social costs are additionally assessed using to the DALY approach. Therefore the DALYs lost due to air pollutants are determined and costs per DALY are calculated using the willingness to pay-approach by Cropper and Khanna (2014) and Spengler (2004) additionally to a method by Daroudi et al. (2019) assessing health care expenditures.</p> <p><strong>Results:</strong> Applying this framework to the case study of Augsburg, results show, that environmental costs of 140.6 Million € arise from traffic in the city per year. These costs are entirely attributable to car traffic (77.7%), truck traffic (19.8%) and motorcycle traffic (1.9%), as public transport in Augsburg is climate neutral. Further, traffic on municipal roads in Augsburg causes a loss of 212.3 DALYs per year, which equals to annual social costs of 27.2 Million €. Cars account for 63.2% of those, trucks for 33.8%, motorcycles for 2.3% and buses for 0.2%, respectively. With a proportion of passenger kilometers of 90.4% from cars, 6.1% from motorcycles and 3.6% from buses, it is evident that cars contribute disproportionately to the environmental and social costs of Augsburg's traffic.</p> <p><strong>Conclusion:</strong> The social and economic follow-up costs of transport in the city of Augsburg are currently not borne by the polluter. Their great amount encourages measures, such as reinforcing the use of bicycles or public transport, eventually facilitating a change towards sustainable traffic in Augsburg.</p> <p> </p> <p><strong>References</strong></p> <p>Cropper, Maureen; Khanna, Shefali (2014): How Should the World Bank Estimate Air Pollution Damages? In Resources for the Future Discussion Paper, pp. 14–30.</p> <p>Daroudi, Rajabali; Faramarzi, Ahmad; Akbari Sari, Ali; Nahvijou, Azin (2019): Cost Per Daly Averted in Low, Middle and High Income Countries: Evidence from Global Burden of Disease Study to Estimate the Cost Effectiveness Thresholds. In SSRN Journal.</p> <p>Matthey, Astrid; Bünger, Björn (2019): Methodenkonvention 3.0 zur Ermittlung von Umweltkosten – Kostensätze. Edited by Umweltbundesamt. Available online at https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/2019-02-11_methodenkonvention-3-0_kostensaetze_korr.pdf, checked on 10/29/2020.</p> <p>Spengler, Hannes (2004): Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland. In Zeitschrift für ArbeitsmarktForschung-Journal for Labour Market Research 37 (3), pp. 269–305.</p> <p>van Essen, Huib; van Wijngaarden, Lisanne, Schroten, Arno; Sutter, Daniel; Bieler, Cuno; Maffii, Silvia; Brambilla, Marco et al. (2019): Handbook on the external costs of transport. Edited by CE Delft. Available online at https://ec.europa.eu/transport/sites/transport/files/studies/internalisation-handbook-isbn-978-92-79-96917-1.pdf, checked on 10/29/2020.</p>

scholarly journals Prospect of Solid Waste Situation and An Approach of Environmental Management Measure (EMM) Model for Sustainable Solid Waste Management: Case Study of Dhaka City

2012 ◽  
Vol 5 (1) ◽  
pp. 99-111 ◽  
Author(s):  
KM Bahauddin ◽  
MH Uddin
Keyword(s):  
Environmental Management ◽  
Waste Management ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Dhaka City ◽  
Management Measure ◽  
Management Case Study ◽  
The Cost ◽  
The City

Environmental Management Measure (EMM) model will be a well-designed approach for sustainable and effective solid waste management in Dhaka city. Environmental Management Measure (EMM) model has three instruments such as economic, regulatory and suasive which proposed in this paper. This paper discusses the situation of solid waste in Dhaka city as well as it offers environmental policy recommendations to concerned authorities including effective instruments to minimize the polluting behavior of individuals and industries and to recover the cost of pollution in the city. To improve solid waste management in Dhaka city, a combination of economic, regulatory and suasive instrument are recommended. The findings of the study will be helpful for policy maker, planner, implementer and other stakeholders towards adopting more effective strategy for management of solid waste in Dhaka city. DOI: http://dx.doi.org/10.3329/jesnr.v5i1.11601 J. Environ. Sci. & Natural Resources, 5(1): 99 - 111, 2012

scholarly journals The cost of building for the future: the reconciliation of sustainable housing issues in Toronto

2021 ◽  
Author(s):  
Paul Adam Erlichman.
Keyword(s):  
Urban Context ◽  
Public And Private ◽  
Sustainable Housing ◽  
Green Housing ◽  
The Future ◽  
Private Housing ◽  
The Cost ◽  
The City ◽  
Made In

Although some green housing elements have become more commonplace in residential renovations in Canada, the undertaking of complete green retrofits is relatively uncommon. This paper explores the barriers to green retrofits, such as affordability and bureaucracy, in the urban context of the City of Toronto. The research was informed by one main case study, one supplementary case study, and six interviews with sustainable housing experts. The research has yielded nine recommendations that are directed towards three levels of government and related public and private housing organizations. These recommendations have been made in the hopes of making sustainable housing more ubiquitous in Toronto.

scholarly journals The cost of building for the future: the reconciliation of sustainable housing issues in Toronto

2021 ◽  
Author(s):  
Paul Adam Erlichman.
Keyword(s):  
Urban Context ◽  
Public And Private ◽  
Sustainable Housing ◽  
Green Housing ◽  
The Future ◽  
Private Housing ◽  
The Cost ◽  
The City ◽  
Made In

Although some green housing elements have become more commonplace in residential renovations in Canada, the undertaking of complete green retrofits is relatively uncommon. This paper explores the barriers to green retrofits, such as affordability and bureaucracy, in the urban context of the City of Toronto. The research was informed by one main case study, one supplementary case study, and six interviews with sustainable housing experts. The research has yielded nine recommendations that are directed towards three levels of government and related public and private housing organizations. These recommendations have been made in the hopes of making sustainable housing more ubiquitous in Toronto.

Maximizing Energy Harvesting of Photovoltaic Panel Full Tracking Optimization

2019 ◽  
Author(s):  
Ahmed Y. Abdelmaksoud ◽  
Hesham A. Hegazi ◽  
Mohamed S. El Morsi ◽  
Sayed M. Metwalli
Keyword(s):  
Performance Optimization ◽  
Fossil Fuels ◽  
Optimization Technique ◽  
Attractive Alternative ◽  
Photovoltaic Panel ◽  
Meta Model ◽  
The Cost ◽  
Photovoltaic Solar Cells ◽  
The City

Abstract The wide spread use of solar energy and photovoltaic solar cells attracts researchers to work hard for the objective of improving their performance to be a viable attractive alternative to fossil fuels. This work presents the optimization of the output power of a photovoltaic solar cell to harvest maximum power. The power is optimized based on PVP full tracking of the sun and the effect of the tilt, the azimuth, and the incidence angles on its performance. A meta-model is utilized as a tool in the optimization technique. A case study which develops 2nd, 3rd, and 4th order hyper-surface equations that depend on day and hour to get the optimum tilt angle and optimum azimuth angle for the city of Hurghada in Egypt. The power produced from the polynomial meta-model algorithm is higher by 25.5% over the fixed tilt and azimuth angles. The developed equations from the meta-model optimization technique can be used in tracking control systems to get optimum tilt and optimum azimuth angles at any hour and at any day. By comparing the metamodel and the lengthy performance optimization technique, the error is around 1.1%. Comparison has also been made between the cost of the fixed and full tracking photovoltaic systems.

A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops

2019 ◽  
Vol 63 (5) ◽  
pp. 657-687
Author(s):  
Eleonora D’Andrea ◽  
Beatrice Lazzerini ◽  
Francesco Marcelloni
Keyword(s):  
Air Pollution ◽  
Recommender Systems ◽  
Shortest Path ◽  
Directed Acyclic Graph ◽  
Matching Criterion ◽  
Acyclic Graph ◽  
Ordering Constraints ◽  
The City

Abstract Traffic and air pollution caused by the increasing number of cars have become important issues in nowadays cities. A possible solution is to employ recommender systems for efficient ridesharing among users. These systems, however, typically do not allow specifying ordered stops, thus preventing a large amount of possible users from exploiting ridesharing, e.g. parents leaving kids at school while going to work. Indeed, if a parent desired to share a ride, he/she would need to indicate the following constraint in the path: the stop at school should precede the stop at work. In this paper, we propose a ridesharing recommender, which allows each user to specify an ordered list of stops and suggests efficient ride matches. The ride-matching criterion is based on a dissimilarity between the driver’s path and the shared path, computed as the shortest path on a directed acyclic graph with ordering constraints between the stops defined in the single paths. The dissimilarity value is the detour requested to the driver to visit also the stops of the paths involved in the ride-share, respecting the visiting order of the stops within each path. Results are presented on a case study involving the city of Pisa.

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