Parking Requirement of Institutional Land Use

Parking demand rates are one of the essential keys to urban city planning around the world. Most cities produced the most suitable parking rates, and models relied on their local conditions, regulations, and people’s habits. In Iraq, there is a lack of parking studies, and therefore, there is a lot of missing information which if be found, will be very valuable for better enhancing and managing the transportation network system. Institutional land use or Government Ministries are the land use type in which this research tries to find its parking generation rates. The goal is to produce models and rates for parking generation by using certain independent variables according to the characteristics of the land-use type. The research study area is the urban areas outside Baghdad CBD. Several sites were selected located in different parts of Baghdad. The number of study sites is three. The collected data about sites are the total number of site employees, site gross floor area, and maximum parked vehicles at each site for an Am and Pm period. Each site has a clear parking lot; besides, the sites were selected relied on particular criteria. The field survey was done at each site for defining days and times. The final stage is a data analysis and producing parking generation rates and models to determine the required parking demand for this land-use type. Statistical analysis of data, model generation, was done by the computer program (SPSS). It concluded that the institutional land use produced 0.94 spaces per 100 m2 of GFA and 0.1 spaces per employee.

Reliability Assessment of RC Bridges Subjected to Seismic Loadings

An approach to estimate both the reliability index β and its complement, the probability of failure, through closed-form expressions that consider aleatory and epistemic uncertainties, is proposed. Alternatively, exceedance demand rates are obtained based on simplified expressions and numerical integration. Reliability indicators are calculated, considering the uncertainties in the compressive strength of concrete, steel yield, and section geometry, together with the aleatory uncertainties related to seismic loadings. Such indicators are estimated in a continuous RC bridge located in Acapulco, Guerrero, Mexico. The bridge was designed to comply with a drift of 0.004. Exceedance demand rates for drift thresholds from 0.001 to 0.012 are estimated, and maximum differences of 5.5% are found between the closed-form expression and numerical integration. The exceedance demand rate expressed by means of its inverse, the return period, indicates that the serviceability limit state is exceeded after 58 years of the bridge construction. The reliability index decreases by about 1.66%, and the probability of failure increases by about 16.1% when the epistemic uncertainties are considered. The approach shows the importance of epistemic uncertainties in the estimation of reliability indicators.

Impact of Corona Virus on Indian Real Estate

This paper talks about the impact of corona virus on Indian Real Estate in terms of Demand, Rates of property, impact on Indian housing market, home buyers in India, builders in India, office space in India. What interventions government should take in response to COVID-19 to boost the demand and what sales strategy real estate developers taking post lockdown.

Vinasse: current concepts, challenges and opportunities for the sustainability

The objective was to highlight the historical documents that foresee the use and abuse of ethanol production (vinasse) in Brazil according to literature published in the period 1934-2020. The methodology used was documentary, the review and analysis of which brought with it the synthesis and perspectives of vinasse as well as its uses and abuses. Results: a) there are legal instruments in Brzil since 1934 whose goal is to care for the environment; b) about in 1978 was prohibited the direct dumping of stillage into bodies of water and c) in 2011 environmental guidelines were provided on this topic to achieve sustainability in the Brazilian space. Conclusions: 1) as can be seen in the cited literature, vinasse is one of the most impressive respurces for ethanol production; 2) Brazil is the second largest ethanol producer worldwide; 3) the use of stillage for cooling sugarcane fiekds, its organic content, chemical and biochemical oxygen demand rates are high and 4) the synergy between academics from universities, the government sector, civil society, companies in the productive chain of the sugar energy sector, among others, is important.

Excess demand prediction for bike sharing systems

One of the most crucial elements for the long-term success of shared transportation systems (bikes, cars etc.) is their ubiquitous availability. To achieve this, and avoid having stations with no available vehicle, service operators rely on rebalancing. While different operators have different approaches to this functionality, overall it requires a demand-supply analysis of the various stations. While trip data can be used for this task, the existing methods in the literature only capture the observed demand and supply rates. However, the excess demand rates (e.g., how many customers attempted to rent a bike from an empty station) are not recorded in these data, but they are important for the in-depth understanding of the systems’ demand patterns that ultimately can inform operations like rebalancing. In this work we propose a method to estimate the excess demand and supply rates from trip and station availability data. Key to our approach is identifying what we term as excess demand pulse (EDP) in availability data as a signal for the existence of excess demand. We then proceed to build a Skellam regression model that is able to predict the difference between the total demand and supply at a given station during a specific time period. Our experiments with real data further validate the accuracy of our proposed method.

Optimal order quantity considering carbon emission costs, defective items, and partial backorder

To respond to the adoption of carbon pricing regulations, researchers and industry are developing low carbon inventory models that can meet emission reduction targets while maintaining company profits. The challenge is getting tougher when the company is still facing problems related to imperfect product quality. This research solves this problem by developing an economic order quantity (EOQ) model by considering several sources of carbon emissions, as well as the influence of the defective rates, different demand rates, selling price and holding cost for defective products, and shortages backorder. The objective function of the formulated mathematical model is to minimize the total costs which include the emission costs. A numerical example is developed to illustrate the model based on the previous data set. Sensitivity analysis is also carried out to validate the model and to learn more about the system characteristics. The total emissions are calculated and the affecting factors are identified.

An Inventory Management System for Deteriorating Items with Ramp Type and Quadratic Demand: A Structural Comparative Study

The present paper deals with an inventory management system with ramp type and quadratic demand rates. A constant deterioration rate is considered into the model. In the two types models, the optimum time and total cost are derived when demand is ramp type and quadratic. A structural comparative study is demonstrated here by illustrating the model with sensitivity analysis.