Travel to Work Patterns of Low-income People in Urban Area

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Adzlia N.N.A. Rahman ◽  
Zaharah M.Yusoff ◽  
Dasimah Omar ◽  
Intan S. Aziz

Intensifying numbers of travel demand draws problem to sustainable transport system because of poor facilities, services, frequency and punctuality due to lack of decent planning and design. Increasing numbers of the vehicle ownership has developed the road networks insufficient that leads to congestions. The issues of travel characteristics chosen by the people to their employment area that will show the travel pattern is the core point in this research. The research methodology consist of the interview sessions to the authorise personals and from the distribution of questionnaire survey forms to the resident of low-cost housing areas in Melaka Tengah District in Malaysia. Then data collected were processed using Social Package Statistical Software (SPSS) to show analytical result. This process will displayed the respondent’s travel characteristics and determine their preference in transportation mode to the employment area. Analytical result showed that the impacts from more than half of the respondents choose to travel by car as transportation mode to working area will come to consequences of traffic condition which lead to congested road. These findings will further help bringing in improvement to existing routes and public transportation systems so it will be optimally utilised for a better daily commute. 

2013 ◽  
Vol 361-363 ◽  
pp. 2122-2126
Author(s):  
Jun Chen ◽  
Xiao Hua Li ◽  
Lan Ma

Traditional transit travel information is acquired by Trip Sample Survey which has some disadvantages including high cost and short data lifecycle. This paper researched transit travel demand analysis method using Advanced Public Transportation Systems (APTS) data. The study collected APTS data of Nanning City in China and established APTS multi-source data analysis platform applying data warehouse technology. Based on key problems research, the paper presented the analysis procedure and content. Then, this study proposed the core algorithms of the method which are determinations of boarding bus stops, alighting bus stops and transfer bus stops of smart card passengers. Finally, these algorithms programs are experimented using large scale practical APTS data. The results show that this analysis method is low cost, operability and high accuracy.


2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Lanang Diayudha

<p>The increasing of private vehicles and public transportation are the main cause of traffic jammed on the road. The use of public vehicles in Pekanbaru city is higher than the transportation provided by urban council through Dinas Lalu Lintas Transportasi Jalan Raya (DLLAJR). The aim of this paper is to do a research on public transportation system (oplet, ojek, city bus, taxi), also, to analyse which transportation system that have been chosen by consumer in Pekanbaru. The result shows that people are prefer to use oplet and city bus as their transportation even though it has high risk of safety and danger to them. Most people in town has their own vehicles so that the use of public transportation only for temporary period and it usually used by students who has low income. This study finally found that the ojek services are the only transportation system that can arrive to the destination in short time and it can access anywhere that cannot be accessed by other transportation system. The low cost of ojek services is the main reason that people choose it as their transportation. It is obviously shows that the use of transportation system in Pekanbaru is bused on efficiency and punctuality of the public transportation.</p><p><strong>Key Words</strong></p><p>Public Transportation, Efficiency, City Service</p>


Author(s):  
Kushal P ◽  
Sudarshan K ◽  
Akshay Dsouza

A significant rise in the number of road accidents has been observed due to the increasing number of vehicles. Significant research has been conducted on accident for the rescue, particularly on the use of Information and also Communication Technologies for efficient and prompt rescue or saving operations. The majority of such works will provide us the sophisticated solutions that focus on reducing response times. However, such solutions can be very expensive and are not available in all forms of vehicles. Our approach aims to take advantage of the advanced specifications of smartphones to design and develop a low-cost solution for enhanced transportation systems that are deployable in legacy vehicles. In this topic, a customized Android application is developed to collect information regarding speed, attraction, pressure, sound, and location. Speed is one of the factor which is used to improve the identification of the accidents. It arises because of clear differences in environmental conditions or changes (e.g., noise, deceleration rate) that arise in low-speed collisions, versus higher-speed collisions). The information collected is again further processed to detect road incidents. Furthermore, a navigation system is also constructed to report the incident to the nearby hospital. Furthermore, a navigation system is constructed to send and report the accident location and patients details to the nearby hospital! The proposed approach is validated through simulations and comparison with a real data set of road accidents acquired from the Road Safety Open Repository and shows promising results in terms of accuracy.


Author(s):  
Ludovico Catani ◽  
Emanuele Frontoni ◽  
Primo Zingaretti ◽  
Guido Di Pasquale

In this paper we present a traffic simulation system using traffic data gathered from readings by GPS devices installed on board of busses, i.e., busses running on the road are used as a mobile sensor network. Traffic data are inferred from the comparison of data about normal speed and current speed in a certain position. The simulation system was developed to invent mechanisms that use such information for traffic optimization. In particular, simulations allow to manage traffic lights in real time and to control the traffic system in order to give priority to public transportation systems.


2020 ◽  
Vol 12 (16) ◽  
pp. 6484 ◽  
Author(s):  
Jia Guo ◽  
Yusak Susilo ◽  
Constantinos Antoniou ◽  
Anna Pernestål Brenden

The rapid development of automated buses holds great potential for the development of transportation systems. As research into innovative forms of automated transportation systems gains momentum, it is important to understand the public’s perceptions of such public transport systems. Previous studies have contributed based on hypothetical scenarios, but not based on real observations. Based on an online survey in Stockholm in March 2019, the current research addresses this gap by investigating the public’s perceptions from a real, fully operational, automated public transportation service operated in a mixed traffic environment on public roads. The respondents were selected along the automated bus line in Barkabystaden, Stockholm. Our findings indicate that (1) The presence of onboard operators has a positive impact on respondents’ perceived safety, (2) People who have not taken automated buses before have a more negative perception of driving speed of the bus service than people who have taken the buses before, (3) Attitudinal factors, such as public perceptions of safety, driving speed, reliability, and convenience, have a significant influence on the acceptance of the new bus system, (4) As an emerging and innovative transportation mode, automated buses are expected to attract a high share of regular public transportation mode users and the younger generations in the future, (5) Social-demographic characteristics such as gender and income had no significant impacts on the adoption of the new technology. The results provide the characteristics of early bus adopters and their travel behavior and help to prioritize possible investments and allow the policymakers and private industries to identify the special needs of users.


Author(s):  
Leise Kelli de Oliveira ◽  
Sayonara Lopes Souza ◽  
Leandro Cardoso ◽  
José Elievam Bessa Jr ◽  
Renata Lúcia Magalhães de Oliveira ◽  
...  

The congestion pricing is a measure of travel demand management to discourage car use with low public and political acceptability. In the Brazilian context, the Urban Mobility Policy considers this measure to mitigate the congestion. In this paper, we present an exploratory analysis to identify the characteristics considered important by Brazilian transport experts to the implementation of the congestion pricing. The residents assessed these characteristics to identify the preference and acceptability of this scheme in Belo Horizonte (Brazil). We obtained the data from a Web-based survey from experts and residents. With the results, we simulated scenarios reducing the number of private cars in order to evaluate the real benefits of congestion price in a real network. According to Brazilian transport experts, the congestion pricing can be an efficient and well-accepted demand management measure, if the profit subsidises the public transportation systems (bus and rail) and the infrastructure to non-motorized transportation, with active public participation in the decision-making. Considering the residents’ results, we identified favourable public acceptability considering the benefits of public transport investment from the revenue obtained out of the congestion charges. However, availability for payment has a high rejection rate, although implementation strategies are perceived as advantages. The simulation indicates the reduction of travel time (seconds/km), delay time (seconds/km), queue length (vehicle) and density time (vehicle/km) indicating congestion reduction and, consequently, improving the urban mobility. The contribution of this paper is one methodology considering the Brazilian context to evaluate the congestion-pricing scheme from experts and residents point of view. Also, the results could support the discussion about the implementation of the congestion charging in Brazilian cities.


Author(s):  
Tampanatu Parengkuan Fransiscus Sompie

Good infrastructure and transportation facilities move people and goods take place safely and economically in terms of time and cost. The trips made by people on weekdays or weekends affect environmental conditions in the area. The purpose of this paper is to find out the influence of socioeconomic status on modes choice of transportation both on weekdays and weekends. The study location is in Manado Municipality. There are 3 (three) modes of transportation reviewed, i.e. private cars, motorcycles, and public transportation. Indicators of socioeconomics status of transportation users are age, education, occupation, income, number of family members, and vehicle ownership. Data regarding the modes of transportation and socioeconomic status of travelers were obtained through questionnaire surveys. SEM-AMOS was used to measure the validity and reliability of the data. The probability of the mode choice on weekdays and weekends was analyzed using multinomial logistic regression analysis. The results showed that the socioeconomic status of the traveler has an influence on the mode choice of transportation by 49.2% on weekends and 49.5% on weekdays. Furthermore, the probability of transportation mode choice on weekends is the car by 88.4%, and on weekdays is motorcycles by 71.6%.


2021 ◽  
Author(s):  
Saad I Sarsam ◽  

Transportation systems play a central role in a sustainable society by providing mobility for people, goods, and services. Significant sustainability benefits are being derived through the improvements in transportation network efficiency, use of alternative modes and multimodality, integration of sustainable design, better integration of land use and transportation systems. Sustainable transportation system usually refers to any means of transportation which has low impact on the environment, affordable to users and can balance the current and future needs. This work covers the implementation of surveying techniques in the route selection for Baghdad Metro Tube. The travel demand has been assessed through an extensive travel potential survey. The public bus terminals were considered as a major source of data. The number of passengers using the present public transportation system from each bus terminal and for each route to various destinations has been recorded. The passenger supply points have been indicated by latitude and longitude that define the bus stop and the proposed metro route using global positioning system GPS. A passenger counting data was collected concerning the present use of public transport. A line indicates travel from one area to another and a grid was constructed. The present bus routes were identified, and the 28 major and minor public transportation terminals, which represent the passenger trip origin and destination nodes, were detected using GPS. The bus terminals were also positioned by the GPS and affixed. The recent land use of Baghdad urban area and the existing transportation network as obtained from Google earth were utilized in the geographic information system GIS environment. Travel corridors are identified and analyzed according to their existing right-of-way conditions, transit services, land use, and demographics.The positive and negative attributes of each corridor with regards to their potential for supporting transitoriented development TOD and higher capacity transit services have been determined through optimization process in the GIS. Finally, five corridors of the highest trip potential have been selected and proposed.


Author(s):  
Francesca Ciuffini ◽  
Simone Tengattini ◽  
Alexander York Bigazzi

Reduced transit capacity to accommodate social distancing during the COVID-19 pandemic was a sudden constraint that along with a large reduction in total travel volume and a shift in activity patterns contributed to abrupt changes in transportation mode shares across cities worldwide. There are major concerns that as the total travel demand rises back toward prepandemic levels, the overall transport system capacity with transit constraints will be insufficient for the increasing demand. This paper uses city-level scenario analysis to examine the potential increase in post-COVID-19 car use and the feasibility of shifting to active transportation, based on prepandemic mode shares and varying levels of reduction in transit capacity. An application of the analysis to a sample of cities in Europe and North America is presented. Mitigating an increase in driving requires a substantial increase in active transportation mode share, particularly in cities with high pre-COVID-19 transit ridership; however, such a shift may be possible based on the high percentage of short-distance motorized trips. The results highlight the importance of making active transportation attractive and reinforce the value of multimodal transportation systems as a strategy for urban resilience. This paper provides a strategic planning tool for policy makers facing challenging transportation system decisions in the aftermath of the COVID-19 pandemic.


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