scholarly journals Mode Shifting Probability of Working People to Angkot: Is there Any Hope for Angkot to Survive in Bandung City?

2021 ◽  
Vol 32 (3) ◽  
pp. 196-215
Author(s):  
Lisna Rahayu
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Binary Logistic Regression ◽  
Vehicle Ownership ◽  
People’S Perception ◽  
The Future ◽  
Working People ◽  
Key Variables ◽  
Mode Of Transportation ◽  
The Government

Bandung is one of Indonesia’s major cities, holding a strategic position as the center of the Bandung Metropolitan Area. The most dominant paratransit with the widest coverage in Bandung City is the angkot, a small four-wheeled vehicle (minibus) that has been modified for use as public transportation. As it stands currently, however, this paratransit service is inadequate and unreliable, and it has pushed people to use private vehicles to support their daily commute, which causes traffic congestion to worsen. Workers are the biggest traffic-generating group in Bandung city. Their regular commute pattern as well as their large proportion in Bandung city’s population (47.78% of the total population in 2020) make this group an important determinant in Bandung City’s transportation. Shifting the workers’ mode of transportation from private to public transportation including the angkot is predicted to decrease traffic jams on some level. Through binary logistic regression, this study provides an analysis of mode shifting probability to the angkot, key factors that could be intervened to increase this shifting probability, as well as the extent to which intervention toward these factors will increase angkot usage so that it can provide a picture of future characteristics of the angkot in contrast to the current condition, should this transportation mode continue to run in the future. Based on the modeling result, the study identified four key variables that significantly influence mode shifting probability in Bandung City: 1) private vehicle ownership, 2) driving license ownership, 3) people’s perception of current transportation costs, and 4) people’s perception of the level of comfort provided by the mode of transportation. If in the future the angkot in Bandung City is improved with better comfort and affordability, approximately only 3.31% of workers will start using the angkot. This very low probability indicates that if in the future the government wants to shift working people from private vehicles to the angkot, then the angkot must be transformed.   Abstrak. Bandung merupakan salah satu kota besar di Indonesia yang memiliki posisi strategis sebagai pusat kawasan metropolitan. Paratransit yang paling dominan dengan jangkauan terluas di Kota Bandung adalah angkot, kendaraan roda empat kecil (minibus) yang telah dimodifikasi untuk digunakan sebagai transportasi umum. Namun, layanan paratransit ini tidak memadai dan tidak dapat diandalkan sehingga mendorong orang untuk menggunakan kendaraan pribadi dalam mendukung perjalanan sehari-hari, yang menyebabkan kemacetan lalu lintas semakin parah. Pekerja merupakan kelompok penghasil lalu lintas terbesar di kota Bandung. Pola komuter yang teratur serta proporsi penduduk kota Bandung yang besar (47,78% dari total penduduk pada tahun 2020) menjadikan kelompok ini sebagai determinan penting dalam transportasi Kota Bandung. Pergeseran moda transportasi pekerja dari angkutan pribadi ke angkutan umum termasuk angkot diprediksi dapat mengurangi kemacetan di beberapa tingkatan. Melalui regresi logistik biner, penelitian ini memberikan analisis probabilitas perpindahan moda ke angkot, faktor-faktor kunci yang dapat diintervensi untuk meningkatkan probabilitas perpindahan tersebut, serta sejauh mana intervensi terhadap faktor-faktor tersebut akan meningkatkan penggunaan angkot sehingga dapat memberikan gambaran karakteristik angkot di masa depan yang kontras dengan kondisi saat ini, dalam kasus moda transportasi ini tetap berjalan di masa yang akan datang. Berdasarkan hasil pemodelan, penelitian ini mengidentifikasi empat variabel kunci yang berpengaruh signifikan terhadap probabilitas perpindahan moda di Kota Bandung: 1) kepemilikan kendaraan pribadi, 2) kepemilikan SIM, 3) persepsi masyarakat terhadap biaya transportasi saat ini, dan 4) persepsi masyarakat terhadap tingkat kenyamanan yang diberikan oleh moda transportasi tersebut. Jika kedepannya angkot di Kota Bandung ditingkatkan dengan kenyamanan dan keterjangkauan yang lebih baik, kira-kira hanya 3,31% pekerja yang akan mulai menggunakan angkot. Probabilitas yang sangat rendah ini menunjukkan bahwa jika di masa depan pemerintah ingin memindahkan pekerja dari kendaraan pribadi ke angkot, maka angkot tersebut harus diubah. Kata kunci. Pergeseran moda, angkot, pekerja, logistik biner.

scholarly journals FASILITAS TRANSIT RAWA BUAYA

2020 ◽  
Vol 2 (1) ◽  
pp. 387
Author(s):  
Cindy Herlim Santosa ◽  
Sidhi Wiguna Teh
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Social Space ◽  
Rapid Development ◽  
Vehicle Ownership ◽  
Third Place ◽  
The Public ◽  
Transportation Modes ◽  
The Difference ◽  
The City

Jakarta is the second most populous city in the world with a population density of 10 million people in 2017. Density causes rapid development in the Jakarta area without any planning. The development that occurs makes the boundaries between office zoning located in the downtown area and residential zones located on the edge of the city. The zones formed have resulted in increased mobility that can be seen from vehicle ownership, transportation modes, and traffic congestion in Jakarta. Charles Montgomery in the book Happy City said that high congestion causes a decline in health that occurs due to stress for the community of public transportation modes. One way to reduce stress is to socialize according to Adhiatma and Christianto (2019). Third Place or social space becomes a solution for socializing for the public transportation community. The Third Place concept can be felt more by the public transportation community, where they can feel the difference between the housing zone and the office zone. The transit or transit place that is formed will be a social space that is used without differentiating social status. One of them is the transit facility located in Rawa Buaya. The Rawa Buaya transit facility is designed using qualitative data collection techniques and cross programming in design planning. The method used produces three main programs that emphasize service, entertainment and commercial functions, which shape social interaction, gathering space, and space for interaction between Rawa Buaya bus terminal communities. AbstrakJakarta merupakan kota kedua terpadat di dunia dengan kepadatan penduduk mencapai 10 juta jiwa pada tahun 2017. Kepadatan menimbulkan perkembangan yang cepat di wilayah Jakarta tanpa adanya perencanaan. Perkembangan yang terjadi membuat batasan antar zonasi perkantoran yang berada di daerah pusat kota dan zona hunian yang berada di pinggir kota. Zona yang terbentuk mengakibatkan peningkatan pergerakan mobilitas yang dapat dilihat dari kepemilikan kendaraan, pengguna moda transportasi, dan kemacetan yang terjadi di Jakarta. Charles Montgomery dalam buku Happy City mengatakan mengenai kemacetan yang tinggi menimbulkan penurunan kesehatan yang terjadi akibat stress bagi kaum komunitas moda transportasi umum. Salah satu cara mengurangi stress adalah dengan bersosialisasi menurut Adhiatma dan Christianto (2019). Third Place atau ruang sosial menjadi solusi untuk bersosialisasi bagi komunitas transportasi umum. Konsep Third Place dapat lebih dirasakan oleh komunitas transportasi umum, dimana mereka dapat merasakan perbedaan zona perumahan dengan zona perkantoran. Tempat transit atau tempat singgah yang terbentuk akan menjadi ruang sosial yang digunakan tanpa membedakan status sosial. Salah satunya fasilitas transit yang berada di Rawa Buaya. Fasilitas transit Rawa Buaya dirancang dengan menggunakan teknik pengumulan data kualitatif dan cross-programming dalam perencanaan perancangan. Metode yang digunakan menghasilkan tiga program utama yang menekankan pada fungsi pelayanan, hiburan, dan komersil, yang membentuk interaksi sosial, ruang berkumpul, dan ruang untuk berinteraksi antar komunitas terminal bus Rawa Buaya.

Analisa Performa K-Means dan DBSCAN dalam Clustering Minat Penggunaan Transportasi Umum

2021 ◽  
Vol 14 (2) ◽  
pp. 368-372
Author(s):  
Ariel Kristianto
Keyword(s):  
Public Transportation ◽  
Clustering Algorithms ◽  
National Policy ◽  
Government Support ◽  
Medium Term ◽  
Dbscan Clustering ◽  
A Value ◽  
Silhouette Coefficient ◽  
Mode Of Transportation ◽  
The Government

Public transportation is one of the important modes of transportation and is the backbone of transportation in Indonesia. The development of public transportation is also supported by the government, this government support is evident in the national policy, namely the National Medium Term Development Plan (RPJMN). Although public transportation is an effective mode of transportation, it also has obstacles in its development, namely how to meet customer desires in choosing a mode of transportation. There are several variables that are the focus of this research, namely age, gender, income, cost, speed, comfort, safety, efficiency and flexibility. The search for influential variables will use the K-Means and DBSCAN clustering algorithms, these two algorithms are also compared to their performance to find a better algorithm. The results of the Silhouette Coefficient show that DBSCAN has a better performance with a value of 0.99 than K-Means with a value of 0.86. The variables that affect the interest in using public transportation are the most important ones related to cost, speed, comfort, safety, efficiency and flexibility.

scholarly journals Mask Using Practice among Bangladeshi Population During COVID-19 Pandemic: A Video-Based Observational Study

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Chowdhury Farheen ◽  
◽  
Md Maruf Haque Khan ◽  
Muhammad Ibrahim Ibne Towhid ◽  
Sabrina Mousum ◽  
...  
Keyword(s):  
Public Transportation ◽  
Rural Areas ◽  
Urban Areas ◽  
Vaccination Campaign ◽  
Binary Logistic Regression ◽  
P Value ◽  
Public Places ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Government

Background: Although the government of Bangladesh made the use of masks mandatory in public settings during COVID-19, individuals have been reluctant to follow. We intended to know how many people used face masks in public settings during COVID-19. Methodology: This study was conducted in several public settings in Shahbag, an urban sub-district of Dhaka; and Sirajdikhan, a rural sub-district of Munshiganj in Bangladesh on November 2020. A total of 4011 people were identified from the video-graphic data captured from 20 public places for monitoring the use of masks. Finding: More than two-thirds of those observed had no face masks or did not utilize them properly. People in urban regions (43%) used mask more in an appropriate manner than those in rural areas (26%). Females wore masks comparatively more than males (53% vs. 35%, p-value <0.001). People used masks more in the morning than in the afternoon (39% vs. 34%, p-value <0.001). People were seen to use a mask more in hospital areas (60%) than in other places. However, in public transportation stands only one-fourth (25%) of the people wore a mask in an appropriate manner. In binary logistic regression male sex, rural area, public places and time of observation (afternoon) were found as risk factors for not wearing a mask. Interpretation: The general population of both rural and urban areas of Bangladesh is reluctant to wear face masks. Along with the ongoing vaccination campaign, people of Bangladesh need to wear masks for the prevention of COVID-19. Funding: This research has been partially supported by Bangabandhu Sheikh Mujib Medical University.

scholarly journals Autonomous vehicles and smart cities: future directions of ownership vs shared mobility

2020 ◽  
Author(s):  
Nacer-Eddine Bezai ◽  
◽  
Benachir Medjdoub ◽  
Fodil Fadli ◽  
Moulay Larby Chalal ◽  
...  
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Smart Cities ◽  
Autonomous Vehicle ◽  
Travel Speed ◽  
On Demand ◽  
Shared Mobility ◽  
The Future ◽  
Self Driving Cars

Over the last decade, there has been increasing discussions about self-driving cars and how most auto-makers are racing to launch these products. However, this discourse is not limited to transportation only, but how such vehicles will affect other industries and specific aspects of our daily lives as future users such as the concept of work while being driven and productivity, entertainment, travel speed, and deliveries. Although these technologies are beneficial, access to these potentials depends on the behaviour of their users. There is a lack of a conceptual model that elucidate the acceptance of people to Self-driving cars. Service on-demand and shared mobility are the most critical factors that will ensure the successful adoption of these cars. This paper presents an analysis of public opinions in Nottingham, UK, through a questionnaire about the future of Autonomous vehicles' ownership and the extent to which they accept the idea of vehicle sharing. Besides, this paper tests two hypotheses. Firstly, (a) people who usually use Public transportation like (taxi, bus, tram, train, carpooling) are likely to share an Autonomous Vehicle in the future. Secondly, (b) people who use Private cars are expected to own an Autonomous Vehicle in the future. To achieve this aim, a combination of statistical methods such as logistic regression has been utilised. Unexpectedly, the study findings suggested that AVs ownership will increase contrary to what is expected, that Autonomous vehicles will reduce ownership. Besides, participants have shown low interest in sharing AVs. Therefore, it is likely that ownership of AVs will increase for several reasons as expressed by the participants such as safety, privacy, personal space, suitability to children and availability. Actions must be taken to promote shared mobility to avoid AVs possession growth. The ownership diminution, in turn, will reduce traffic congestion, energy and transport efficiency, better air quality. That is why analysing the factors that influence the mindset and attitude of people will enable us to understand how to shift from private cars to transport-on-demand, which is a priority rather than promoting the technology.

scholarly journals II pillar pension funds: how the selection of fund influences the size of the old-age pension

Ekonomika ◽  
2015 ◽  
Vol 94 (3) ◽  
pp. 96-118 ◽  
Author(s):  
Viktorija Rabikauskaitė ◽  
Lina Novickytė
Keyword(s):  
Old Age ◽  
Pension Fund ◽  
Pension System ◽  
Well Being ◽  
Retirement Pension ◽  
Scarce Resources ◽  
Economic Progress ◽  
The Future ◽  
Working People ◽  
The Government

The government, in order to achieve the welfare of the citizens in the retirement age to keep pace with the working people, carried out the various pension systems transformations. The working people’s welfare is growing due to the economic progress, so there is a theory of economics, which examines the existing income redistribution in time. It should be noted that in order to ensure the financial well-being in old age it is necessary to efficiently allocate the scarce resources. In Lithuania, the existing three pillar pension system allows each employee to contribute to their own financial well-being in the future. This article aims to assess the second pillar pension fund performance and how fund differences affect the amount of old age pension. The analysis made it possible to determine the correlation between the return generated by the fund and the number of participants in the fund; the spreadsheet is provided, which allows estimating the influence of the choice of different funds on the size of the retirement pension. It was found that fund return and the number of participants in the fund have a negative correlation. This shows that the part of households who raise money in fund with the lowest return will be much poorer, and the corresponding result is a smaller pension. It may be noted that the accumulation of different pension fund reserves have a significant impact on the future pension size (this difference can be as high as 230%).

scholarly journals MODELLING TRAVELLER’S GROUND ACCESS MODE CHOICE OF DUBAI INTERNATIONAL AIRPORT, UNITED ARAB EMIRATES

2019 ◽  
Vol 10 (1) ◽  
pp. 87-109
Author(s):  
Khaula Alkaabi
Keyword(s):  
United Arab Emirates ◽  
Public Transportation ◽  
Mode Choice ◽  
Binary Logistic Regression ◽  
Vehicle Ownership ◽  
Main Mode ◽  
Logistic Regression Models ◽  
International Airport ◽  
Access Mode ◽  
Using Data

With increased demand for air travel, airports have become economic engines of the regional development that connect aviation systems with other modes of transportation facilitating the movement of people and cargo. Originating air passengers account for the majority of passenger trips to and from an airport and have different ground access needs. Since the air transportation is interrelated to ground transportation, studying ground access mode choice of airport users is a crucial part of airport management and system planning. The purpose of this study is to identify Dubai International Airport (DXB) ground access mode characteristics and users located in the United Arab Emirates (UAE), which has not been studied previously. Although there are many different modes of transportation serving the airport, yet personal vehicles are the main mode used to arrive to the airport. Binary logistic regression models are developed to evaluate access mode choice for originating air travelers focusing on the mix between private vehicle and public transportation system (taxi, limousine, bus network, and Dubai metro) using data collected specifically for this study. A total of 1012 air travelers were interviewed and completed the questionnaire in December 2014. Models result showed that access mode choice is significantly affected by different socio-economic characteristics of travelers including income, nationality, household size, vehicle ownership; and different trip characteristics that include number of travelers and how often air travelers use public ransportation in their community.

scholarly journals The Process Occupying and Tending to the Use of Roads by Online Motorcycle Transportation

2019 ◽  
Vol 3 (1) ◽  
pp. 31
Author(s):  
Tin Budi Utami
Keyword(s):  
Public Transportation ◽  
Service Providers ◽  
Light Rail ◽  
Rail Transit ◽  
Rapid Transit ◽  
Transportation Mode ◽  
Transportation Services ◽  
Transportation Modes ◽  
Mode Of Transportation ◽  
The Government

Jakarta is increasingly improving its public transportation services. At present, a breakthrough in the development of transportation has been made, especially related to the protocol road. These include expanding Transjakarta routes, Mass Rapid Transit, and Light Rail Transit. The addition of the number of modes of transportation has an impact on the addition of the number of stations or stops. However, it does not match by the availability of the government in procuring land for connecting transportation modes into deeper areas. The formal and informal transportation providers as an introduction to integrated transportation users still use the highway corridor as their place to raise, lower, and wait for passengers. Not yet found a place to raise, lower, and wait for those around the top of the officially integrated mode of transportation from the government or service providers. Therefore, this study was conducted to see how the division of land used by providers of the integrated transportation mode connector. This research method is to observe the spread of land use providers of formal and informal transportation services.

scholarly journals Pelayanan Angkutan Umum Dalam Mengatasi Kemacetan Di Kuta

2020 ◽  
Vol 3 (1) ◽  
pp. 31-38
Author(s):  
Emma Ratna Sari Moedy
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Transportation Services ◽  
Road Users ◽  
Tourism Management ◽  
Physical Form ◽  
Private Transportation ◽  
The Government ◽  
Role Of The Government

The legal basis of tourism management becomes the basis for the implementationof the management of tourist areas, spatial planning and transportation that support a tourist area.The role of the government in developing tourism in outline is to provide infrastructure (not onlyin physical form), expand various forms of facilities, coordinate activities between governmentofficials and the private sector, regulate and promote the general to other regions and abroad.The government has the authority to regulate, supply and designate various infrastructuresrelated to tourism needs. Not only that, the government is responsible for determining thedirection of tourism travel. The policy adopted by the government is a guide for otherstakeholders in playing their respective roles. At present public transportation services have notbeen able to guarantee good services. The percentage of users of public transportation is verysmall, even less than 3%. The majority of road users use private transportation, especially motorcycles whose ownership exceeds 70%. The introduction and development of mass publictransportation through Bus Rapid Transit (BRT) labeled Trans Sarbagita is one form of efforts toovercome traffic congestion through the provision of better public transportation services. Theimpact is that more and more areas will be served by public transportation. At present unservedareas will continue to produce private transportation users and will always be a source of trafficjams.

scholarly journals Transportation policy potholes: analyzing Metro Manila’s COVID-19 response

2021 ◽  
Vol 58 (1&2) ◽  
pp. 293-312
Author(s):  
Cielo Magno ◽  
Kevin Daniel Quizon ◽  
Dante Gatmaytan
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Vital Role ◽  
Transportation Policy ◽  
The Road ◽  
Essential Services ◽  
Metro Manila ◽  
Public Transportation System ◽  
The Government ◽  
Philippine Government

Before the COVID-19 pandemic, the Philippine government was already implementing policies and building infrastructure aimed at improving the country’s road-based public transportation system and alleviating impacts of traffic congestion, especially in Metro Manila. However, with the pandemic, new priorities emerged. Public transportation now plays a vital role in controlling the spread of the disease while, at the same time, ensures that essential services are accessible, and public transport providers are sufficiently supported. This paper analyzes the road-based public transportation policies of the government during the pandemic using a multi-dimensional framework. In general, and in principle, we see that the government policies issued are consistent with the recommended transport policies that must be implemented during such crisis. However, there are some strategies that are untimely implemented, such as the mandatory utilization of the integrated terminals, the forced consolidation of transport providers, and the continuing modernization of jeepneys.

Big Data Analytics and Internet of Things for Urban Transportation

2019 ◽  
pp. 244-277
Author(s):  
Jyoti Chandiramani ◽  
Sushma Nayak
Keyword(s):  
Big Data ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Smart City ◽  
Traffic Management ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Considerable Impact ◽  
The Government

The idea of smart city has assumed popularity in numerous countries across the globe. In 2015, the Government of India embarked on a mission of creating 100 smart cities to sustain the burgeoning urban population. While a wide-ranging set of fundamentals has a key role in enhancing the quality of life of citizens, the chapter revolves around transportation issues and traffic management concerns in one of India's smart cities, Pune. Transport is one of the few areas where Pune lags behind compared to its urban counterparts in the country. Public transportation in the city has been ineffectual, and auto rickshaws have been unyielding and pricey, thus making it imperative to possess personal vehicles or resort to app-based cab services. A palpable outcome of this has been traffic congestion that leads to slower travelling speeds, extended trip times, and amplified vehicular queuing. Big data and IoT can make a considerable impact in realizing the smart city objectives for efficient transportation in Pune by serving as complementary measures to supply-side policies.

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