scholarly journals Customer Incentive Rebalancing Plan in Free-Float Bike-Sharing System with Limited Information

2019 ◽  
Vol 11 (11) ◽  
pp. 3088 ◽  
Author(s):  
Ruijing Wu ◽  
Shaoxuan Liu ◽  
Zhenyang Shi
Keyword(s):  
Urban Areas ◽  
Travel Demand ◽  
Optimal Solution ◽  
Service Level ◽  
Maximization Problem ◽  
Limited Information ◽  
Customer Service Level ◽  
Wide Range ◽  
Bike Sharing ◽  
Incentive Plan

Free-float bike-sharing (FFBS) systems have increased in popularity as a sustainable travel mode in recent years, especially in the urban areas of China. Despite the convenience such systems offer to customers, it is not easy to maintain an effective balance in the distribution of bikes. This study considers the dynamic rebalancing problem for FFBS systems, whereby user-based tactics are employed by incentivizing users to perform repositioning activities. Motivated by the fact that the problem is frequently faced by FFBS system operators entering a new market with limited information on travel demand, we adopt the ranking and selection approach to select the optimal incentive plan. We describe the system dynamics in detail, and formulate a profit maximization problem with a constraint on customer service level. Through numerical studies, we first establish that our procedure can select the optimal incentive plan in a wide range of scenarios. Second, under our incentive plan, the profit and service level can be improved significantly compared with the scenario without incentive provision. Third, in most cases, our procedure can achieve the optimal solution with a reasonable sample size.

scholarly journals Dynamic Scheduling Model of Bike-Sharing considering Invalid Demand

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Liu He ◽  
Tangyi Guo ◽  
Kun Tang
Keyword(s):  
Optimization Model ◽  
Dynamic Scheduling ◽  
Demand Forecasting ◽  
Optimal Solution ◽  
Coupling Model ◽  
Service Level ◽  
Demand Prediction ◽  
Dynamic Relationship ◽  
Proposed Model ◽  
Bike Sharing

System resources allocation optimization through dynamic scheduling is key to improving the service level of bike-sharing. This study innovatively introduces three types of invalid demand with negative effect including waiting, transfer, and abandoning, which consists of the total demand of bike-sharing system. Through exploring the dynamic relationship among users’ travel demands, the quantity and capacity of bikes at the rental points, the records of bicycles borrowed and returned, and the vehicle scheduling schemes, a demand forecasting model for bike-sharing is established. According to the predicted bikes and the maximum capacity limit at each rental point, an optimization model of scheduling scheme is proposed to reduce the invalid demand and the total scheduling time. A two-layer dynamic coupling model with iterative feedback is obtained by combining the demand prediction model and scheduling optimization model and is then solved by Nicked Pareto Genetic Algorithm (NPGA). The proposed model is applied to a case study and the optimal solution set and corresponding Pareto front are obtained. The invalid demand is greatly reduced from 1094 to 26 by an effective scheduling of 3 rounds and 96 minutes. Empirical results show that the proposed model is able to optimize the resource allocation of bike-sharing, significantly reduce the invalid demand caused by the absence of bikes at the rental point such as waiting in a place, walking to other rental points, and giving up for other travel modes, and effectively improve the system service level.

scholarly journals The Analysis of Domestic Travelers in Indonesia

JEJAK ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 317-329 ◽  
Author(s):  
Devanto Shasta Pratomo
Keyword(s):  
Regression Analysis ◽  
Urban Areas ◽  
Travel Demand ◽  
Descriptive Analysis ◽  
Highly Educated ◽  
Tourist Destinations ◽  
Wide Range ◽  
The World ◽  
Economic Survey ◽  
Binary Probit

Indonesia is the largest archipelago country in the world, making one of popular tourist destinations in Southeast Asia region for both international and domestic holidays. The main objective of the study is to examine a wide range characteristics, including demographic, employment, and spatial characteristics for domestic travel in Indonesia.The method used in the study is descriptive analysis using the 2015 National Socio-Economic Survey (SUSENAS), which is used to explain some specific characteristics of domestic travelers in Indonesia. Some regression analysis using binary probit is also added to examine the determinants of domestic travel demand in Indonesia, measured by the probability to travel within the country. The result shows that, in general, domestic travelers in Indonesia are dominated by people who are living in urban areas, people who are aged 25-40 years old, highly educated, working as paid employees, and mostly originate from provinces in Java island.For specific purposes, people who are living in urban areas are more likely travel for holidays. Males are more likely travel for business compared to females. People who do have a job are more likely travel for business purposes, while people who are at school ages are the market for holiday travel.

scholarly journals A Multiobjective Fuzzy Aggregate Production Planning Model Considering Real Capacity and Quality of Products

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Najmeh Madadi ◽  
Kuan Yew Wong
Keyword(s):  
Production Planning ◽  
Customer Service ◽  
Optimal Solution ◽  
Service Level ◽  
Aggregate Production Planning ◽  
Production Lines ◽  
Aggregate Production ◽  
Customer Service Level ◽  
Quality Of Products ◽  
Parts Manufacturing

In this study, an attempt has been made to develop a multiobjective fuzzy aggregate production planning (APP) model that best serves those companies whose aim is to have the best utilization of their resources in an uncertain environment while trying to keep an acceptable degree of quality and customer service level simultaneously. In addition, the study takes into account the performance and availability of production lines. To provide the optimal solution to the proposed model, first it was converted to an equivalent crisp multiobjective model and then goal programming was applied to the converted model. At the final step, the IBM ILOG CPLEX Optimization Studio software was used to obtain the final result based on the data collected from an automotive parts manufacturing company. The comparison of results obtained from solving the model with and without considering the performance and availability of production lines, revealed the significant importance of these two factors in developing a real and practical aggregate production plan.

scholarly journals Analysis of Characteristics and Service Level Pedestrian Facilities in Region 5 Regional Military Night Market Surabaya

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Fuji Dwi Setiawan ◽  
Atik Wahyu
Keyword(s):  
Urban Areas ◽  
Survey Methods ◽  
Service Level ◽  
Flow Speed ◽  
Survey Method ◽  
Level Of Service ◽  
Linear Regression Method ◽  
The Road ◽  
Wide Range ◽  
On The Road

Pedestrians are people walking activities and is one of the elements of road users. Surabaya is a city which is the goal of society to travel and enjoy a wide range of diversity with the intent to purchase goods or just taste the food because there is one of the traditional market situated on the road Raden Wijaya or road Kesatriyan very crowded at night ie the market night kodam v Surabaya and in the present study was to determine the characteristics of pedestrians (flow, speed, density), determine the relationship between variables pedestrian movement and maximum value of variables and determine the capacity and service level pedestrian with analytical methods in use that method Greenshields. This research method used survey methods and analysis methods. Ie survey method, uses manual techniques of observation and data collection in the field, while the analysis method is by using simple linear regression method in accordance with the method used by Greenshields. The analysis showed that the variable max on the Raden Wijaya is as follows Dm = 0.992 pends / m2, Vm = 66.787 m / min, Qm = 66.253 pends / min / m while the variable max on the road Kesatriyan is as follows Dm = 3.041 pends / m2, Vm = 37.398 m / min, Qm = 113.727 pends / min / m. While the level of service including service level "A", the standard planning pedestrian facilities in urban areas in the level of service "A", this means that the pedestrian in the night market kodam v Surabaya still meet the standards of planning and is still able to accommodate the number of pedestrians there is. While the correlation value on the road Raden Wijaya was r = -0.922 and correlation on the road Kesatriyan is r = -0.488.

scholarly journals Integrating Mathematical and Simulation Approach for Optimizing Production and Distribution Planning With Lateral Transshipment in a Supply Chain

2022 ◽  
Vol 15 (1) ◽  
pp. 0-0
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Optimal Solution ◽  
Integrated Approach ◽  
Service Level ◽  
Computational Time ◽  
Customer Service Level ◽  
Simulation Based ◽  
Production And Distribution ◽  
Lateral Transshipment

Supply chain planning aims to maximize the chain's profit and find an effective way to integrate production and distribution. A mathematical and simulation-based optimizations are two common disciplines in which this study integrates both of them together to consolidate their advantages. A mathematical model is formulated to find an optimal production-distribution plan. Then, the result is fed into a simulation model operating under uncertainty to verify the feasibility of the plan. Our integrated approach tries to find a feasible plan that satisfies both required customer service level and makespan limitation where safety stock is used to hedge against uncertainties, and lateral transshipment is used for emergency measures against excessive fluctuation of customer demand. A case study that optimizes the profit of an entire chain is used to demonstrate the algorithm. The outcomes of the study show that our proposed approach can yield feasible results (with near or even optimal solution) with much faster computational time as compared to the traditional simulation-based optimization.

scholarly journals Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260969
Author(s):  
Shahram Heydari ◽  
Garyfallos Konstantinoudis ◽  
Abdul Wahid Behsoodi
Keyword(s):  
Time Series ◽  
Random Walk ◽  
Urban Areas ◽  
Travel Demand ◽  
Public Transit ◽  
Temporal Correlation ◽  
Travel Behaviour ◽  
Time Series Model ◽  
The World ◽  
Bike Sharing

The COVID-19 pandemic has been influencing travel behaviour in many urban areas around the world since the beginning of 2020. As a consequence, bike-sharing schemes have been affected—partly due to the change in travel demand and behaviour as well as a shift from public transit. This study estimates the varying effect of the COVID-19 pandemic on the London bike-sharing system (Santander Cycles) over the period March–December 2020. We employed a Bayesian second-order random walk time-series model to account for temporal correlation in the data. We compared the observed number of cycle hires and hire time with their respective counterfactuals (what would have been if the pandemic had not happened) to estimate the magnitude of the change caused by the pandemic. The results indicated that following a reduction in cycle hires in March and April 2020, the demand rebounded from May 2020, remaining in the expected range of what would have been if the pandemic had not occurred. This could indicate the resiliency of Santander Cycles. With respect to hire time, an important increase occurred in April, May, and June 2020, indicating that bikes were hired for longer trips, perhaps partly due to a shift from public transit.

scholarly journals Analysis of Characteristics and Service Level Pedestrian Facilities in Region 5 Regional Military Night Market Surabaya

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Fuji Dwi Setiawan ◽  
Atik Wahyu
Keyword(s):  
Urban Areas ◽  
Survey Methods ◽  
Service Level ◽  
Flow Speed ◽  
Survey Method ◽  
Level Of Service ◽  
Linear Regression Method ◽  
The Road ◽  
Wide Range ◽  
On The Road

Pedestrians are people walking activities and is one of the elements of road users. Surabaya is a city which is the goal of society to travel and enjoy a wide range of diversity with the intent to purchase goods or just taste the food because there is one of the traditional market situated on the road Raden Wijaya or road Kesatriyan very crowded at night ie the market night kodam v Surabaya and in the present study was to determine the characteristics of pedestrians (flow, speed, density), determine the relationship between variables pedestrian movement and maximum value of variables and determine the capacity and service level pedestrian with analytical methods in use that method Greenshields. This research method used survey methods and analysis methods. Ie survey method, uses manual techniques of observation and data collection in the field, while the analysis method is by using simple linear regression method in accordance with the method used by Greenshields. The analysis showed that the variable max on the Raden Wijaya is as follows Dm = 0.992 pends / m2, Vm = 66.787 m / min, Qm = 66.253 pends / min / m while the variable max on the road Kesatriyan is as follows Dm = 3.041 pends / m2, Vm = 37.398 m / min, Qm = 113.727 pends / min / m. While the level of service including service level "A", the standard planning pedestrian facilities in urban areas in the level of service "A", this means that the pedestrian in the night market kodam v Surabaya still meet the standards of planning and is still able to accommodate the number of pedestrians there is. While the correlation value on the road Raden Wijaya was r = -0.922 and correlation on the road Kesatriyan is r = -0.488

A prediction model for atmospheric pollution reduction from urban traffic

2021 ◽  
pp. 239980832110057
Author(s):  
Abdelfettah Laouzai ◽  
Rachid Ouafi
Keyword(s):  
Atmospheric Pollution ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Travel Demand ◽  
Optimal Solution ◽  
User Equilibrium ◽  
Urban Traffic ◽  
Suggested Technique ◽  
The Common ◽  
Additional Constraints

In order to reduce the atmospheric pollution in urban areas, an enhanced approach is proposed in this paper for the traffic congestion analysis. The approach is formulated as bi-level optimization program considering additional constraints in the traffic assignment problem. To respect the required eco-friendly threshold constraint, the travel demand between several origin–destination pairs was categorized in two classes: old polluting cars and modern (less) nonpolluting cars. The validity of the formulation was verified by optimality conditions. Two network examples are discussed to explain the properties and advantages of the suggested technique. It is found that for the both examples, the proposed optimal solution displays better results as compared to the common user equilibrium route choice policies. As a result, the enhanced approach leads to traffic network congestion relief with minimum air pollution and maximum use of routes network.

Biscogniauxia (Hypoxylon) Canker or Dieback in Trees

EDIS ◽  
2017 ◽  
Vol 2017 (6) ◽  
Author(s):  
Claudia Paez ◽  
Jason A. Smith
Keyword(s):  
Water Stress ◽  
Tree Species ◽  
Soil Compaction ◽  
Urban Areas ◽  
Root Disease ◽  
Poor Health ◽  
Green Spaces ◽  
Opportunistic Pathogens ◽  
Wide Range ◽  
Quercus Spp

Biscogniauxia canker or dieback (formerly called Hypoxylon canker or dieback) is a common contributor to poor health and decay in a wide range of tree species (Balbalian & Henn 2014). This disease is caused by several species of fungi in the genus Biscogniauxia (formerly Hypoxylon). B. atropunctata or B. mediterranea are usually the species found on Quercus spp. and other hosts in Florida, affecting trees growing in many different habitats, such as forests, parks, green spaces and urban areas (McBride & Appel, 2009).  Typically, species of Biscogniauxia are opportunistic pathogens that do not affect healthy and vigorous trees; some species are more virulent than others. However, once they infect trees under stress (water stress, root disease, soil compaction, construction damage etc.) they can quickly colonize the host. Once a tree is infected and fruiting structures of the fungus are evident, the tree is not likely to survive especially if the infection is in the tree's trunk (Anderson et al., 1995).

URBAN FACADE GEOMETRY ON OUTDOOR COMFORT CONDITIONS: A REVIEW

2020 ◽  
Vol 4 (1) ◽  
pp. 45
Author(s):  
Elahe Mirabi ◽  
Nasrollahi Nazanin
Keyword(s):  
Thermal Comfort ◽  
Urban Areas ◽  
Natural Ventilation ◽  
Flow Behavior ◽  
Air Flow ◽  
Urban Geometry ◽  
Wide Range ◽  
Low Energy Buildings ◽  
Outdoor Comfort ◽  
Solar Access

<p>Designing urban facades is considered as a major factor influencing issues<br />such as natural ventilation of buildings and urban areas, radiations in the<br />urban canyon for designing low-energy buildings, cooling demand for<br />buildings in urban area, and thermal comfort in urban streets. However, so<br />far, most studies on urban topics have been focused on flat facades<br />without details of urban layouts. Hence, the effect of urban facades with<br />details such as the balcony and corbelling on thermal comfort conditions<br />and air flow behavior are discussed in this literature review. <strong>Aim</strong>: This<br />study was carried out to investigate the effective factors of urban facades,<br />including the effects of building configuration, geometry and urban<br />canyon’s orientation. <strong>Methodology and Results</strong>: According to the results,<br />the air flow behavior is affected by a wide range of factors such as wind<br />conditions, urban geometry and wind direction. Urban façade geometry<br />can change outdoor air flow pattern, thermal comfort and solar access.<br /><strong>Conclusion, significance and impact study</strong>: In particular, the geometry of<br />the facade, such as indentation and protrusion, has a significant effect on<br />the air flow and thermal behavior in urban facades and can enhance<br />outdoor comfort conditions. Also, Alternation in façade geometry can<br />affect pedestrians' comfort and buildings energy demands.</p>

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