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.

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.

Traveler’s Willingness to Accept and Provide Carpooling Services: A Case Study in Beijing

2020 ◽  
Vol 8 (4) ◽  
pp. 356-366
Author(s):  
Lingling Xiao ◽  
Zhitian Zhou
Keyword(s):  
Theoretical Model ◽  
Survey Data ◽  
Questionnaire Survey ◽  
Demand Management ◽  
Influence Factors ◽  
Regression Method ◽  
Willingness To Accept ◽  
Transportation Demand Management ◽  
Transportation Demand

AbstractCarpooling as a transportation demand management (TDM) tool is currently being prevalent in major Chinese cities and producing much diminishment in the frequency of solo-driving trips. Meanwhile, much disputes relating to carpooling is arising. To better understand the acceptance and the influence factors of carpooling, this paper investigates travelers’ willingness to provide and accept carpooling services. Firstly, a questionnaire survey was conducted. Secondly, we proposed a theoretical model, both car-owners and non-car-owners were sampled as respondents, and a multi-variable regression method was employed to analyze the survey data. Finally, we found that the higher acceptance, the more positive reactions to carpooling. The results indicate that it is necessary to improve the public’s acceptance of carpooling, because lower acceptance will lead to more negative reactions towards the carpooling, which may weaken its effectiveness.

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