scholarly journals Analisis Penerimaan Pengguna Kereta Api terhadap Penerapan Protokol Covid-19

2021 ◽  
Vol 33 (2) ◽  
Author(s):  
Agus Taufiq Mulyono
Keyword(s):  
Stated Preference ◽  
Closed Space ◽  
Closed Contact

Pandemi COVID–19 menyebabkan perlunya penerapan protokol kesehatan pada pengoperasian kereta api. Protokol kesehatan tersebut berbasis pada minimalisasi kondisi 3C (Closed Space, Crowded Place, Closed Contact Setting). Penerapan protokol kesehatan dalam operasional KA memerlukan penerimaan pengguna agar dapat berjalan secara efisien. Untuk mengetahui kemauan pengguna kereta api terhadap penerapan protokol kesehatan, dilakukan survei online dengan metode stated preference. Parameter yang diuji meliputi tarif, kelengkapan dokumen kesehatan, protokol di stasiun, protokol di kereta, serta protokol pribadi. Hasil analisis memperlihatkan tingginya penerimaan penumpang terhadap penerapan protokol Covid pada perkeretaapian, yang diperlihatkan dengan kemauan menggunakan kereta yang lebih tinggi pada penerapan protokol kesehatan secara ketat dibandingkan penerapan secara longgar. Kondisi ini terjadi pada kereta api antar kota maupun kereta Jabodetabek.  Kata kunci: pandemi, covid 19, stated preference, persepsi, kereta api

scholarly journals Ketahanan Bisnis Perkeretaapian di Masa Pandemi COVID - 19

2021 ◽  
Vol 5 (2) ◽  
pp. 12-21
Author(s):  
Dwi Ardianta Kurniawan
Keyword(s):  
Cash Flow ◽  
Fixed Cost ◽  
Closed Space ◽  
Closed Contact

Pembatasan operasional kereta api di masa pandemi COVID-19 berdampak pada penurunan volume dan pendapatan angkutan penumpang KA di Indonesia sekitar 53%, sementara angkutan barang mengalami penurunan sekitar 5% dibandingkan tahun 2019. Kebijakan yang dapat diterapkan untuk mengatasi dampak pandemi mencakup Optimasi Operasi yang berbasis efisiensi operasi, serta Adaptasi Pandemi yang berbasis minimalisasi kondisi 3C (Closed Space, Crowded Place, Closed Contact Setting). Dampak penerapan kebijakan tersebut perlu disimulasikan pengaruhnya terhadap biaya operasi (BO) dan pendapatan operasi (PO). Hasil perbandingan nilai PO dan BO (POBO), menjadi indikator seberapa kuat bisnis perkeretaapian mampu bertahan di masa pandemi. Nilai POBO di atas 1,0 menunjukkan bisnis masih mampu mencapai Break Event Point (BEP) yang berarti operator mampu mencapai pendapatan setara dengan biaya (tetap dan variabel). Titik kritis operasi perkeretaapian terjadi pada shutdown point yang menunjukkan pendapatan tidak mampu menutupi biaya tetap (fixed cost). Pada nilai shutdown point, bisnis perkeretaapian dikhawatirkan akan berhenti. Hasil perhitungan menunjukkan nilai POBO kedua kebijakan adalah 1,08 (kebijakan optimasi) dan 1,09 (kebijakan adaptasi pandemi). Profil ini menunjukkan ketahanan bisnis perkeretaapian berada pada ambang batas nilai Break Event Point (BEP), jauh di bawah nilai POBO pada tahun-tahun sebelum. Hal ini memperlihatkan bahwa dampak pandemi sangat signifikan terhadap cash flow perusahaan. Titik kritis shutdown point terjadi pada volume barang dan penumpang hingga sebesar 40% dibandingkan tahun 2019. Volume tersebut lebih rendah dibandingkan kondisi saat ini yaitu volume penumpang sebesar 50,5% - 55,5%; serta volume barang sebesar 81,5% dibandingkan volume tahun 2019. Besaran ini menunjukkan bahwa bisnis perkeretaapian masih memiliki daya tahan sebelum mengalami titik kritis shutdown point.

Analisa Pemilihan Moda Transportasi Umum Rute Tanjung Karang – Bandara Radin Inten II Dengan Stated Preference dan Uji Crame’s V

2018 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Muhammad Abi Berkah Nadi
Keyword(s):  
Regression Analysis ◽  
Utility Function ◽  
Stated Preference ◽  
Technical Analysis ◽  
Chi Square ◽  
Time Headway ◽  
Independent Variable ◽  
The Relationship ◽  
Selection Of

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.

scholarly journals Use of masks in public places in Poland during SARS-Cov-2 epidemic: a covert observational study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maria Ganczak ◽  
Oskar Pasek ◽  
Łukasz Duda – Duma ◽  
Dawid Świstara ◽  
Marcin Korzeń
Keyword(s):  
Health Promotion ◽  
Observational Study ◽  
Control Measure ◽  
Communication Channels ◽  
Public Spaces ◽  
Personal Health ◽  
Closed Space ◽  
Public Places ◽  
Health Control ◽  
Over Time

Abstract Background Face masks have been employed in the COVID-19 pandemic plans as a public and personal health control measure against the spread of SARS-CoV-2. In Poland, obligatory wearing of masks in public spaces was introduced on April 10th, 2020; a relaxation of previous universal measures was announced on May 29th, 2020, limiting use to indoor public places. Objective To assess use of masks or other protective devices in public spaces in Poland during the SARS-Cov-2 epidemic. Methods A non-participatory covert observational study was conducted on three dates, (10.05/18.05/25.05.2020) at public spaces in 13 regions with different risks. Ten consecutive individuals were observed by each of 82 medical students (n = 2460 observations), using a structured checklist. Results Among 2353 observed persons, the female/male ratios were 1.0, 1.1, and 1.0 on the three dates. Almost three quarters - 73.6% (n = 552/750) were using masks on date 1, 66.5% (544/818) on date 2; and 65.7% (516/785) on date 3. Cloth masks predominated on all dates (64.7–62.3%-62.6%), followed by medical (23.4–28.5%-26.9%). Being female (OR = 1.77–1.47-1.53 respectively) and location in a closed space (OR = 2.60–2.59-2.32) were each associated with higher usage. Participants in sports were about two times less likely to use masks (OR = 0.64–0.53-0.53) as compared to other activities. The proportion using masks correctly decreased gradually over time (364/552; 65.9%; 339/544; 62.3% and 304/516; 58.9%). More females wore masks correctly (date 1: 205/294; 69.7% vs 159/258; 61.6%, and date 3: 186/284; 65.5% vs 118/232; 50.9%; p = 0.045; p = 0.0008 respectively). Uncovered noses (47.3–52.7%) and masks around the neck (39.2–42.6%) were the most frequent incorrect practices. Conclusions Practices were not in line with official recommendations, especially among males, and deteriorated over time. Cloth masks were predominantly used in public spaces. Health promotion, through utilizing all available communication channels, would be helpful to increase compliance.

scholarly journals Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment

2021 ◽  
Vol 13 (14) ◽  
pp. 7725
Author(s):  
Reema Bera ◽  
Bhargab Maitra
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Stated Preference ◽  
Mixed Logit ◽  
Road Transport ◽  
Home Based ◽  
Urban India ◽  
Choice Decision ◽  
The Mean ◽  
Hybrid Electric

Plug-in Hybrid Electric Vehicles (PHEVs) can help decarbonize road transport in urban India. To accelerate the diffusion of PHEVs, investigation of commuter preferences towards the attributes of PHEVs is necessary. Therefore, the present study analyzes prospective owners’ choice decisions towards PHEVs in a typical Indian context. A stated preference survey was designed to collect responses from the current owners of conventional vehicles (CVs) in Delhi, India, and Mixed Logit (ML) models were developed to estimate commuters’ Willingness To Pay (WTP) for a set of key PHEV-specific attributes. The decomposition effect of prospective owners’ sociodemographic characteristics and trip characteristics on the mean estimates of random parameters was investigated by developing ML models with heterogeneity. Subsequently, the influence of improvement of each PHEV-specific attribute on prospective owners’ choice probability was investigated by calculating marginal effects. Among the various PHEV-specific attributes considered in the present study, high WTPs are observed for decrease in battery recharging time, reduction in tailpipe emission and increase in electric range. Therefore, an added emphasis on these attributes by vehicle manufacturers is likely to enhance the attractiveness of PHEVs to Indian commuters. The results also highlight the importance of government subsidy for promoting PHEVs in the Indian market. Prospective owners’ income, availability of home-based parking space, and average daily trip length are found to significantly influence the choice decision of Indian commuters towards PHEVs.

scholarly journals Estimating Demand for a New Travel Mode in Boise, Idaho

2021 ◽  
Vol 13 (3) ◽  
pp. 1209
Author(s):  
Mandar Khanal
Keyword(s):  
Road Network ◽  
Travel Demand ◽  
Stated Preference ◽  
State University ◽  
University Campus ◽  
City Center ◽  
Road Congestion ◽  
The Us ◽  
Potential Mode ◽  
The City

The 20,000-student Boise State University campus is located about 3 km from the center of the city of Boise. There is a significant amount of travel between the campus and the city center as students and staff travel to the city to visit restaurants, shops, and entertainment centers. Currently, people make this trip by car, shuttle bus, bike, or walking modes. Cars and shuttle buses, which share the same road network, constitute about 76% of the total trips. As road congestion is expected to grow in the future, it is prudent to look for other modes that can fulfill the travel demand. One potential mode is an aerial tramway. However, an aerial tramway is not a common mode of urban travel in the US. This research describes how the stated preference method was used to estimate demand for a mode that does not currently exist. An online stated preference survey was sent out to 8681 students, faculty, and staff and 1821 valid responses were received. Only about 35% of the respondents expressed their willingness to choose an aerial tramway for various combinations of cost and convenience of the new mode. Respondents were also found to favor convenience over cost for the new mode.

scholarly journals User Automotive Powertrain-Type Choice Model and Analysis Using Neural Networks

2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Fabio Luis Marques dos Santos ◽  
Paolo Tecchio ◽  
Fulvio Ardente ◽  
Ferenc Pekár
Keyword(s):  
Internal Combustion Engine ◽  
User Behavior ◽  
Choice Model ◽  
Combustion Engine ◽  
Stated Preference ◽  
Operating Cost ◽  
Internal Combustion ◽  
Ann Model ◽  
Purchase Cost ◽  
Artificial Neural Network Ann

This paper presents an artificial neural network (ANN) model that simulates user’s choice of electric or internal combustion engine automotive vehicles based on basic vehicle attributes (purchase price, range, operating cost, taxes due to emissions, time to refuel/recharge and vehicle price depreciation), with the objective of analyzing user behavior and creating a model that can be used to support policymaking. The ANN was trained using stated preference data from a survey carried out in six European countries, taking into account petrol, diesel and battery electric automotive vehicle attributes. Model results show that the electric vehicle parameters (especially purchase cost, range and recharge times), as well as the purchase cost of internal combustion engine vehicles, have the most influence on consumers’ vehicle choices. A graphical interface was created for the model, to make it easier to understand the interactions between different attributes and their impacts on consumer choices and thus help policy decisions.

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