Analysis Public Transportation City of Dili to Improve Service with Users Characteristics

2021 ◽  
Vol 8 (8) ◽  
pp. 254-262
Author(s):  
Florentino Pereira ◽  
Nunung Widyaningsih ◽  
Hermanto Dwiatmoko
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Traffic Accidents ◽  
Demand Management ◽  
Service Level ◽  
Generation Model ◽  
Trip Generation ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
The Government

Many public transport drivers in City of Dili do not apply various regulations from the government. Located on Becora-Baidi, Becora-Bidau, and Tasi Tolu-Bidau Road. This causes congestion and traffic accidents, and impact on economy. The purpose of study is to determine the trip generation model and its factors, city transportation service performance, and how to formulate TDM concept in public transport. The survey conducted was daily volume of public transport, questionnaires, and interviews 2020. Looking for value of angkot generation with instrument test and multiple regression (IBM SPSS 22). To analyze services used parameters and Severy Index. Then, concept of Transportation Demand Management (TDM) with Guttman Scale. After analyzing, the trip generation value, Y = -1,3920 + 0,0275.X1 + 0,4958.X2 + 0,1734.X3 – 0,0601. X4 - 0,0657.X5 - 0,0001.X6 - 0,0193.X7 - 0,7670.X8 + 0,8801.X9 + 0,6721.X10 + 0,1058.X11, positive value is factor that most influences the respondent's decision to trips using public transportation: gender (X1), age (X2), job (X3), duration of trip (X9), number of passengers (X10), and waiting time for public transportation (X11). However, in service level is still “low” category. Then, for TDM concept gets 87% in 51%-99% range. Means that angkot users agree, if TDM concept is propose to the government of Dili City, and public transportation will be better in the future. Keywords: Trip Generation, Public Transportation Mode, Public Transportation Services, Transportation Demand Management, TDM.

Freight and Service Parking Needs in Historical Centers: A Case Study in São João Del Rei, Brazil

2020 ◽  
Vol 2674 (11) ◽  
pp. 352-366
Author(s):  
Kaique Silva ◽  
Renato da Silva Lima ◽  
Roberta Alves ◽  
Wilfredo F. Yushimito ◽  
José Holguín-Veras
Keyword(s):  
Demand Management ◽  
Trip Generation ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Management Measures ◽  
New Locations ◽  
Independent Variable ◽  
Loading And Unloading ◽  
Historical Center

The objective of this study is to analyze the demand for loading and unloading parking spaces in the center of São João Del Rei, a historical city in the State of Minas Gerais, Brazil, through freight trip generation models. To generate the models, the number of employees is used as an independent variable. Results show that the historical center receives an average of 710 freight trips per day, which would require at least 43 spaces for loading and unloading. As the center has only eight such spaces available, representing 18% of total demand, this study proposes new locations and suggests transportation demand management measures that could be used in conjunction with the allocation of new parking spots.

Exploratory Evaluation of a Concept Combining Incentivized On-Demand Ridesharing with Congestion Pricing

2021 ◽  
pp. 036119812110116
Author(s):  
Patrick DeCorla-Souza
Keyword(s):  
Demand Management ◽  
Congestion Pricing ◽  
Economic Benefits ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Transportation Funding ◽  
On Demand ◽  
Federal Highway ◽  
Planning Tools ◽  
Management Concept

This paper presents an innovative transportation demand management concept involving congestion pricing synergistically combined with incentivized on-demand ridesharing. An exploratory evaluation of the concept was undertaken using sketch-planning tools developed by the Federal Highway Administration. The analysis suggests that the concept could be financially viable, achieve significant economic benefits, and potentially generate surplus revenues that could be sufficient to address transportation funding gaps.

scholarly journals Traffic Demands Policies Effect on Congestion, Delay and Fuel Consumption

2020 ◽  
Vol 9 (5) ◽  
pp. 521-527
Keyword(s):  
Fuel Consumption ◽  
Expert Panel ◽  
Demand Management ◽  
Level Of Service ◽  
System Management ◽  
Transportation Demand ◽  
Traffic Demand ◽  
Study Case ◽  
The Government ◽  
Reduction Percentage

Traffic demands on Jordanian streets have been affected by the increasing human population and the number of vehicles. This study aims to apply transportation demand management (TDM) techniques to improve the level of service (LOS). The study employs both TDM and transportation system management (TSM). In order to investigate what type of strategies to be considered a questionnaire is used. The acceptance degrees of the TDM and TSM groups were measured via the questionnaires using SPSS version 20. The selected policies then are used on a certain location as a study case in Amman city; an intersection is connecting two urban main streets. The used policies have a reduction percentage in traffic demands which is expected throughout an expert panel. The results show that delay and fuel consumption are indeed reduced; however, this does not lead to any considerable improvement in the LOS. The LOS was enhanced when the reduction in traffic demand reached 20% with an increase in capacity achieved by adding 3 new lanes. The fuel consumption and delays were measured to be about 35% less with growth rate of 8% for the coming five years. This study is expected to help popularize TDM policies in place of other solutions so that inexpensive measures can be adopted by the government.

Evaluating Travel and Air Quality Cost-Effectiveness of Transportation Demand Management Projects

1996 ◽  
Vol 1520 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Eric N. Schreffler ◽  
Theresa Costa ◽  
Carl B. Moyer
Keyword(s):  
Air Quality ◽  
Demand Management ◽  
Fine Particulate Matter ◽  
Large Data ◽  
Quantitative Information ◽  
Transportation Demand Management ◽  
Quality Cost ◽  
Transportation Demand ◽  
Vehicle Registration ◽  
Organic Gases

Many transportation planners and those implementing transportation demand management (TDM) programs have been frustrated by the lack of quantitative information on what types of TDM strategies work best and where. This underscores the need for sound evaluation of TDM programs and demonstration projects. However, many evaluations to date have used a variety of methods and assumptions when quantifying the travel and air quality impacts of TDM projects. A study funded under the AB 2766 vehicle registration fee program in southern California resulted in the development of a standardized methodology and then applied the method to 15 TDM demonstration projects. The method differed from most of the self-evaluations in that it discounted vehicle trip reduction to account for those who switched from one high-occupancy vehicle mode to another and for those who accessed the new commute alternative by driving alone to a pickup point; factored out the emission of shuttle and transit vehicles used in providing new service; and used standardized emission factors to determine reductions in reactive organic gases, carbon monoxide, nitrogen oxide, and fine particulate matter. Results of the application of the method to various TDM projects reveal a range of impacts and point to the inaccuracies of self-reported results, particularly in the area of total emission reductions. More standardization of TDM evaluation methods is called for so that a large data base of consistent and reliable information can be assembled across agencies with the goal of generalizing the effectiveness and transferability of various TDM strategies and programs.

Segment: Applicability of an Existing Segmentation Technique to Transportation Demand Management Campaigns in the United States

2019 ◽  
Vol 2673 (9) ◽  
pp. 227-239
Author(s):  
Amy B. Lester ◽  
Philip L. Winters ◽  
Minh Pham
Keyword(s):  
United States ◽  
Market Segmentation ◽  
Travel Behavior ◽  
Group Membership ◽  
Demand Management ◽  
The United States ◽  
Consumer Market ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Segmentation Technique

This research was modeled after a consumer market-segmentation technique (SEGMENT) successfully used in Europe, for its usefulness to transportation demand management (TDM) campaigns in the United States. The SEGMENT project examined how consumer market-segmentation techniques can influence travel behavior choices in favor of more energy-sustainable modes of travel. Data were collected from 1,900 individuals in Florida, Oregon, and Virginia. The data contain approximately 200 fields with information about respondents’ demographics and attitudes toward different modes of transportation, such as car, train, bike, and walking. Clustering analysis was applied to divide the sample into segments so that members of the same group share similar travel attitudes. Next, a classification model was built to predict group membership. Dividing the sample into seven segments, three non-driver and four driver, was found to be the most stable and distinctive segmentation. Seventeen questions, referred to as “golden questions,” were found to separate segments most significantly and predict group membership with 84% accuracy. Significant differences in age and household distribution between segments were observed. Mean responses to each question were used to create an attitudinal profile for each group. Major contributions are the validation of an existing segmentation technique for applicability in the United States, which could improve the effectiveness of TDM campaigns on changing travel behavior. Golden questions can be added to existing surveys to gather information about the proportion of individuals that belong to segments in an area. Additionally, limited resources can be better allocated to target those segments most susceptible to behavior change.

Sign in / Sign up

Export Citation Format

Share Document