scholarly journals Public Transportation Energy Planning by Network Analysis-A Case Study of Kathmandu Valley

2021 ◽  
Vol 6 ◽  
pp. 9-21
Author(s):  
Aprin Bajracharya ◽  
Amrit Man Nakarmi
Keyword(s):  
Energy Consumption ◽  
Public Transportation ◽  
Travel Demand ◽  
Transportation Cost ◽  
Kathmandu Valley ◽  
Optimum Number ◽  
Microsoft Excel ◽  
Transportation Energy ◽  
Environmental Emissions

This paper is an attempt to find out the required optimum number of vehicles in the Top Ten Routes of Kathmandu Valley which was found from the 163 number of routes of our study on the basis of total travel demand measured in passenger-km per year. The transportation optimization model has been prepared on the Microsoft-Excel Spreadsheet & the optimization of distribution of vehicles is done by using Premium Solver. The results clearly show that the requirement of buses at some routes was less than the available buses plying on the route & the requirement of buses at some routes was more than the available buses plying on the route. The optimization is done on the basis of least cost methods fulfilling the travel demands of flow of passengers at different interval of time in a day at each route of our study. More number of required vehicles in the optimized scenario in the route means more transportation cost, more energy consumption & more environmental emissions than the present scenario & Lesser number of required vehicles in the optimized scenario in the route means lesser transportation cost, lesser energy consumption & lesser environmental emissions than the present scenario.

scholarly journals STUDY OF FOOTWAY AND BIKE TRAVEL FACILITIES AS A PUBLIC TRANSPORT MODE INTEGRATION FACILITY IN SOUTH TANGERANG CITY (CASE STUDY: SUDIMARA STATION)

ASTONJADRO ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Muhammad Baharudin Sah
Keyword(s):  
Public Transportation ◽  
Population Growth Rate ◽  
Field Survey ◽  
Service Level ◽  
Microsoft Excel ◽  
Street Vendors ◽  
Minimum Width ◽  
Street Lighting ◽  
Transfer Of Function

It is known that South Tangerang City is one of the fastest growing cities. This indicates that the increasing number of users of transportation means that facilities for transportation users need to be considered, one example is pedestrians. The unrealized development of pedestrian facilities is caused by the transfer of function of pedestrian facilities for public needs and insufficient space for pedestrians. The lack of pedestrian facilities causes pedestrians to pass by and has an impact on public transportation that is currently operating, causing congestion. Sudimara Station is located in Ciputat District, South Tanggerang City, with a population growth rate of 3.0% in 2019. All buildings are provided for pedestrians to provide services to pedestrians so as to improve pedestrian smoothness, safety and comfort. The purpose of this study was to analyze the performance of pedestrian facilities at Sudimara Station. The method used is direct field survey and data processing using Microsoft Excel, AutoCad. The results of the author's research include the minimum width of the sidewalk in 2020 and 2025 of 1.5 - 1.6 meters and the service level of pedestrian facilities is classified as A, which means that pedestrians can walk freely, including being able to determine the direction of walking freely, at speed. relatively fast without causing interference between pedestrians. the existing conditions of the sidewalks in 2020, namely there are several obstacles for pedestrians such as the presence of street vendors, public transportation parking carelessly, and several motorbikes parked carelessly, buying and selling activities in markets close to Sudimara station and the absence of integration facilities around the place. the. Planning that the authors do is to increase the width of the sidewalk to 1.5 meters, and the addition of street lighting facilities.

Assessing the Role of Modal Shift in Minimizing Transport Energy Consumption, a Case Study of Kathmandu Valley

2020 ◽  
Vol 15 (3) ◽  
pp. 33-41
Author(s):  
Ashim Bajracharya ◽  
Sudha Shrestha
Keyword(s):  
Energy Consumption ◽  
Transport System ◽  
Travel Demand ◽  
Urban Transport ◽  
Kathmandu Valley ◽  
Demand Model ◽  
Modal Shift ◽  
Transit System ◽  
Public Transport System ◽  
Total Transport

With rapid growing economies and population, there is an increasing trend of expansion of urban sprawl and auto-mobilization, in the cities of the Kathmandu Valley. With the rise in travel demand, transport energy is becoming a major concern for planners and policymakers. This paper aims to study the transport energy of daily trips that constitute work and educational trips, in context of the Kathmandu Valley. The study demonstrates the applicability of a 4-step travel demand model for the assessment of energy-saving measures in urban transport system by formulating scenarios. The results show that currently, daily trips consume 3666 TJ annually. Cars and motorcycles contribute to most of the consumption, accounting for over 80% of the total transport energy. As a mitigation measure to reduce transport energy, the introduction of the efficient public transport system in the form of Bus Rapid Transit System (BRTS) along major corridors, could bring down transport energy consumption significantly. The paper concludes with the essence, to address the need for modal shift to the mass transit system, as a step towards the minimization of transport energy.

scholarly journals Optimal Routing and Scheduling of Charge for Electric Vehicles: A Case Study

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
J. Barco ◽  
A. Guerra ◽  
L. Muñoz ◽  
N. Quijano
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Public Transportation ◽  
Differential Evolution Algorithm ◽  
Transportation Systems ◽  
Routing Problems ◽  
Routing Problem ◽  
Routing And Scheduling ◽  
Battery Degradation

There are increasing interests in improving public transportation systems. One of the proposed strategies for this improvement is the use of Battery Electric Vehicles (BEVs). This approach leads to a new challenge as the BEVs’ routing is exposed to the traditional routing problems of conventional vehicles, as well as the particular requirements of the electrical technologies of BEVs. Examples of BEVs’ routing problems include the autonomy, battery degradation, and charge process. This work presents a differential evolution algorithm for solving an electric vehicle routing problem (EVRP). The formulation of the EVRP to be solved is based on a scheme to coordinate the BEVs’ routing and recharge scheduling, considering operation and battery degradation costs. A model based on the longitudinal dynamics equation of motion estimates the energy consumption of each BEV. A case study, consisting of an airport shuttle service scenario, is used to illustrate the proposed methodology. For this transport service, the BEV energy consumption is estimated based on experimentally measured driving patterns.

scholarly journals The Relationship between Car Dependency And Use of Public Transport in Duhok City- Barriers Analysis And Recommendations

2020 ◽  
Vol 23 (2) ◽  
pp. 59-68
Author(s):  
Pires H. Abdullah ◽  
Jurgen Perschon ◽  
Ahmed M. Ameen
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Structured Interview ◽  
Research Approach ◽  
Young Generation ◽  
Microsoft Excel ◽  
Passenger Car ◽  
The Relationship ◽  
Motorized Transport

This study was conducted to determine the relationship between car dependency and the use of public transportation in Duhok city. The purpose of this study was to identify the factors that hinder the use of public transportation and the reasons for the absence of public transportation, as well as to determine how to make the young generation change their mobility culture from a passenger car-based system to use public transport. This study was a qualitative study, which consists of Duhok city as a case study for this research, in which purposive, simple random and theoretical sampling was adopted. Two types of Semi-structured interview questions were used one with open-ended questions with governmental experts, the other was open, and the closed-ended question that was used with public people of Duhok city in order to collect the information about transportation situation in Duhok city. This research practiced a qualitative research approach, thus for analyzing data, a thematic coding analysis has been applied. Moreover, for the analysis of close-ended questions, some charts and graphs have been made by utilizing Microsoft Excel Program. This method has been done in order to avoid bias and support data analyzed by other methods of analysis. The study found out that the vehicle or passenger car is the main transport mode in Duhok city, the passenger car provides accessibility and flexibility which public transportation cannot and this is due to the absence of a convenient public transport in Duhok city. In addition, it was pointed out that people can change their minds about favoring the use of public transport over cars, first by developing well-constructed and planned public transport, also with the available of various modes that need to be well integrated with other forms of non-motorized transport, such as pedestrian walkway system, cycling, and taxis.

Penerapan Metode Klasifikasi Decision Tree dan Algoritma C4.5 dalam Memprediksi Kriteria Nasabah Kredit Mega Auto Finance

2020 ◽  
Vol 7 (2) ◽  
pp. 200
Author(s):  
Puji Santoso ◽  
Rudy Setiawan
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Microsoft Excel ◽  
Customer Data ◽  
Data Mining Techniques ◽  
C4.5 Algorithm ◽  
Marketing Costs ◽  
Excel Format ◽  
Data Mining Application

One of the tasks in the field of marketing finance is to analyze customer data to find out which customers have the potential to do credit again. The method used to analyze customer data is by classifying all customers who have completed their credit installments into marketing targets, so this method causes high operational marketing costs. Therefore this research was conducted to help solve the above problems by designing a data mining application that serves to predict the criteria of credit customers with the potential to lend (credit) to Mega Auto Finance. The Mega Auto finance Fund Section located in Kotim Regency is a place chosen by researchers as a case study, assuming the Mega Auto finance Fund Section has experienced the same problems as described above. Data mining techniques that are applied to the application built is a classification while the classification method used is the Decision Tree (decision tree). While the algorithm used as a decision tree forming algorithm is the C4.5 Algorithm. The data processed in this study is the installment data of Mega Auto finance loan customers in July 2018 in Microsoft Excel format. The results of this study are an application that can facilitate the Mega Auto finance Funds Section in obtaining credit marketing targets in the future

Energy Consumption Pattern of Residential Buildings: Case Study of Residential Area in Batu Pahat, Johor

2020 ◽  
Vol 12 (9) ◽  
Author(s):  
Junaidah Jailani ◽  
◽  
Norsyalifa Mohamad ◽  
Muhammad Amirul Omar ◽  
Hauashdh Ali ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Area ◽  
Consumption Pattern ◽  
Air Conditioners ◽  
Residential Sector ◽  
Waste Energy ◽  
Main Factor ◽  
Energy Consumption Pattern

According to the National Energy Balance report released by the Energy Commission of Malaysia in 2016, the residential sector uses 21.6% of the total energy in Malaysia. Residents waste energy through inefficient energy consumption and a lack of awareness. Building occupants are considered the main factor that influences energy consumption in buildings, and to change energy consumption on an overall scale, it is crucial to change individual behaviour. Therefore, this study focused on analysing the energy consumption pattern and the behaviour of consumers towards energy consumption in their homes in the residential area of Batu Pahat, Johor. A self-administrated questionnaire approach was employed in this study. The findings of this study showed that the excessive use of air conditioners was a significant factor in the increasing electricity bills of homeowners as well as the inefficient use of electrical appliances. Also, this study determined the effect of awareness on consumer behaviour. This study recommends ways to help minimise energy consumption in the residential area.

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