For reducing traffic jams without widening streets,we come up with a tenement rearrangement problem.In this paper,we study a tenement allocation model which includes two types of tenants,i.e.,typical tenants and speci...For reducing traffic jams without widening streets,we come up with a tenement rearrangement problem.In this paper,we study a tenement allocation model which includes two types of tenants,i.e.,typical tenants and special tenants who owned houses by themselves.The optimal allocation is that total transportation cost is minimized without undermining tenants’individual housing preference or increasing individual cost.Besides,we present a Modified Hungarian Algorithm for the above tenement allocation problem and prove that it can be solved in polynomial time.Furthermore,computational tests show that this algorithm has a good performance.展开更多
This study optimized the ventilator and furniture location of a tenement unit in a low-income urban habitat to obtain maximum experiential indoor environmental quality(e-IEQ)over the breathing zone.Hypothetical interi...This study optimized the ventilator and furniture location of a tenement unit in a low-income urban habitat to obtain maximum experiential indoor environmental quality(e-IEQ)over the breathing zone.Hypothetical interior layouts using a combination of the two design parameters of ventilator location and bed position were generated for optimizing the design layout.This layout could promote maximum indoor airflow and minimum indoor air temperature and contaminant concentration.In this study,an improved indoor environment is hypothesized to be attainable through improved natural ventilation and thermal performance in the occupied zones.A sequential methodology involving“parametric design modeling ecomputational simulationemultiobjective optimizationemulticriteria decision making”-based framework was selected.Results exhibited that the currently designed tenement unit had a poor indoor environment,whereas the hypothesized iterated layout“optimized design layout,scenario 3(ODL 3)”derived from the optimization and decision-making algorithm performed effectively in providing e-IEQ.An increase in experiential indoor air velocity by 0.2 m/s and a decrease in temperature by 2C were observed over the monitoring point in the ODL 3 considering the existing scenario.Therefore,this study can find a way toward the development of sustainable habitat design guidelines under upcoming slum redevelopment policies across the nation.展开更多
基金the National Natural Science Foundation of China(No.61221063)a Special Financial Grant from the China Postdoctoral Science Foundation(No.2015T81040).
文摘For reducing traffic jams without widening streets,we come up with a tenement rearrangement problem.In this paper,we study a tenement allocation model which includes two types of tenants,i.e.,typical tenants and special tenants who owned houses by themselves.The optimal allocation is that total transportation cost is minimized without undermining tenants’individual housing preference or increasing individual cost.Besides,we present a Modified Hungarian Algorithm for the above tenement allocation problem and prove that it can be solved in polynomial time.Furthermore,computational tests show that this algorithm has a good performance.
基金Part of this study is funded by the Ministry of Human Resource Development(MHRD)the Government of India(GoI)project titled CoE-FAST,Grant No.14MHRD005 and IRCC-IIT Bombay Fund,Grant No.16IRCC561015.Any opinions,findings,and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the MHRD,GoI and/or IRCC-IIT Bombay.
文摘This study optimized the ventilator and furniture location of a tenement unit in a low-income urban habitat to obtain maximum experiential indoor environmental quality(e-IEQ)over the breathing zone.Hypothetical interior layouts using a combination of the two design parameters of ventilator location and bed position were generated for optimizing the design layout.This layout could promote maximum indoor airflow and minimum indoor air temperature and contaminant concentration.In this study,an improved indoor environment is hypothesized to be attainable through improved natural ventilation and thermal performance in the occupied zones.A sequential methodology involving“parametric design modeling ecomputational simulationemultiobjective optimizationemulticriteria decision making”-based framework was selected.Results exhibited that the currently designed tenement unit had a poor indoor environment,whereas the hypothesized iterated layout“optimized design layout,scenario 3(ODL 3)”derived from the optimization and decision-making algorithm performed effectively in providing e-IEQ.An increase in experiential indoor air velocity by 0.2 m/s and a decrease in temperature by 2C were observed over the monitoring point in the ODL 3 considering the existing scenario.Therefore,this study can find a way toward the development of sustainable habitat design guidelines under upcoming slum redevelopment policies across the nation.
