Using confirmatory factor analysis to evaluate the factor determining the bus usage in Surabaya City, Indonesia

Larasati, Aida Fitri; Handayeni, Ketut Dewi Martha Erli

doi:10.1088/1755-1315/778/1/012007

Cited by 3 publications

(3 citation statements)

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“…Pemanfaatan Suroboyo Bus sebagai moda transportasi utama belum dilakukan secara maksimal oleh masyarakat umum. Berdasarkan data Dinas Perhubungan Kota Surabaya tahun 2019, okupansi bus hanya mencapai 35%, kemudian meningkat menjadi 52% di tahun 2019 [5]. Kondisi keterisian Suroboyo Bus yang masih rendah mengindikasikan minat masyarakat terhadap transportasi umum, dimana salah satunya penyebabnya yaitu faktor aksesibilitas.…”

Section: Pendahuluanunclassified

“…Kondisi keterisian Suroboyo Bus yang masih rendah mengindikasikan minat masyarakat terhadap transportasi umum, dimana salah satunya penyebabnya yaitu faktor aksesibilitas. Hal ini juga terlihat pada waktu tunggu rata-rata Suroboyo Bus mencapai 16,3 menit di setiap halte [5]. Banyak penumpang yang mengeluhkan keterjangkauan akses dan berharap kedepannya ada Suroboyo Bus yang melayani rute di daerah perkantoran, sekolahan, serta tempat umum lainnya [6].…”

Section: Pendahuluanunclassified

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Pola Spasial Tingkat Aksesibilitas Suroboyo Bus dengan Metode PTAL (Public Transport Accessibility Levels) di Kota Surabaya

Fathoni¹,

Handayeni²

2022

JTITS

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utama belum optimal dilihat dari rata-rata angka keterisian (load factor) kurang dari 50% pada Tahun 2021 -2022. Hal ini dapat disebabkan oleh beberapa faktor penting seperti kondisi aksesibilitas dan pola spasial terkait keterjangkauan jarak tempuh dengan berjalan kaki yang masih cukup terbatas. Oleh karena itu, penelitian ini bertujuan untuk mengetahui pola spasial tingkat aksesibilitas Suroboyo Bus di Kota Surabaya. Metode analisis yang digunakan adalah metode PTAL (Public Transport Accessibility Levels) untuk mengukur tingkat aksesibilitas Suroboyo Bus berdasarkan indeks Accessibility Levels di Kota Surabaya. Setelah mengetahui nilai indeks aksesibilitas tersebut, dilanjutkan dengan menganalisis pola spasial dengan metode interpolasi Inverse Distance Weighted (IDW), selanjutnya dikaitkan dengan sistem kegiatan melalui metode overlay peta penggunaan lahan. Hasil penelitian menunjukkan bahwa 93,34% dari luas Kota Surabaya tidak terjangkau (worst accessibility) layanan Suroboyo Bus berdasarkan jarak tempuh berjalan kaki secara ideal sejauh 400 meter dari halte dan 85,46% tidak terjangkau berdasarkan jarak tempuh maksimal dengan berjalan kaki 800 meter dari halte. Selain itu, 6 -15% area lainnya mempunyai tingkat aksesibilitas dengan kategori sangat kurang terjangkau dan kurang terjangkau. Jika dikaitkan dengan sistem kegiatan, penggunaan lahan untuk fasilitas umum, perdagangan dan jasa, perkantoran serta perumahan memiliki kategori aksesibilitas yang tidak terjangkau mencapai 60 -95% dari luas total setiap penggunaan lahan tersebut. Oleh karena itu, peningkatan aksesibilitas Suroboyo Bus sangat diperlukan melalui integrasi sistem jaringan angkutan umum dengan sistem kegiatan untuk meningkatkan pola mobilitas berbasis transit di Kota Surabaya.

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Section: Pendahuluanunclassified

Pola Spasial Tingkat Aksesibilitas Suroboyo Bus dengan Metode PTAL (Public Transport Accessibility Levels) di Kota Surabaya

Fathoni¹,

Handayeni²

2022

JTITS

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“…The view of positivism, requires humans to try to find symptoms or a series of relationships between these symptoms, so that they can be used in predicting what will happen in the future. Exploratory method of data and information in this research called the Exploratory Factor Analysis (EFA) approach (Larasati & Handayeni, 2021). While Confirmatory Factor Analysis (CFA) for the process of testing variables and indicators that have been determined based on the theoretical framework of the researcher (Purwanto & Sudargini, 2021).…”

Section: Introductionmentioning

confidence: 99%

Economic Student Scientific Publication Model Exploration Factor Analysis (EFA) Approach

et al. 2021

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Background: Our research reveals factor measures, which are generated to encourage economics students to engage in scientific publication and research processes. Research purposes: Availability of motivational models for scientific publications, as a form of developing economics students in the future. Research methods: Estimation using Exploratory Factor Analysis (EFA) approach, with statistical tools Jeffreys's Amazing Statistics Program (JASP) version 0.16.0.0. Research results: This study shows the accuracy of the model, including the calculated value of McDonald's and Cronbach's > 0.700, for the MSA value of 0.762, and the value of Bartlett's test < .001. For the correlation relationship, it is strengthened by the RMSEA number which is between 0.05-0.08. This study forms a 3 factor model for scientific publications of economics students. Conclusion: This study estimates the factors that can encourage the scientific publication model of economics students. Several factors in this research model are in line with the findings of previous researchers. This study shows that the accuracy of the model includes the McDonald's and Cronbach's > 0.700, for the MSA value of 0.762, and the Bartlett's test value < .001. For the correlation relationship, it is strengthened by the RMSEA number which is between 0.05-0.08. Thus, there are 3 factors in this model, namely the role of lecturers and families, students' basic abilities, and academic achievement goals. We realize that there are several theoretical challenges and measurement models, therefore further research is carried out using statistical test instruments and tools such as AMOS, PLS, and LISREL.

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COVID-19 Impacts on Online and In-Store Shopping Behaviors: Why they Happened and Whether they Will Last Post Pandemic

Diaz-Gutierrez

Mohammadi-Mavi

Ranjbari

2023

Transportation Research Record: Journal of the Transportation R

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Throughout the COVID-19 pandemic, people’s online and in-store shopping behaviors changed significantly. As the pandemic subsides, key questions are why those changes happened, whether they are expected to stay, and, if so, to what extent. We answered those questions by analyzing a quasi-longitudinal survey dataset of the Puget Sound residents (Washington, U.S.). We deployed structural equation modeling (SEM) to build separate models for food, grocery, and other items shopping to explore the factors affecting such changes. The results revealed that people’s online and in-store shopping frequencies during the pandemic were affected by their perceived health risk, attitudes toward shopping, and pre-pandemic shopping frequencies. Similarly, it was shown that how frequently people expect to shop post pandemic is influenced by their attitudes toward shopping, changes during the pandemic, and their pre-pandemic frequencies. We also classified respondents into five groups, based on their current and expected future shopping behavior changes, and performed a descriptive analysis. The five groups— Increasers, Decreasers, Steady Users, Returnees, and Future Changers—exhibited different trends across online and in-store activities for shopping different goods. The analysis results showed that, while 25% of the respondents increased their online shopping, only 8% to 13% decreased their in-store activities, implying that online shopping did not completely substitute in-store shopping. Moreover, we found that online shopping is a substitution for in-store shopping for groceries, while it complements in-store shopping for food and other items. Additionally, more than 75% of new online shoppers expect to keep purchasing online, while 63%–85% of in-store Decreasers plan to return to their pre-pandemic frequencies.

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Using confirmatory factor analysis to evaluate the factor determining the bus usage in Surabaya City, Indonesia

Cited by 3 publications

References 1 publication

Pola Spasial Tingkat Aksesibilitas Suroboyo Bus dengan Metode PTAL (Public Transport Accessibility Levels) di Kota Surabaya

Pola Spasial Tingkat Aksesibilitas Suroboyo Bus dengan Metode PTAL (Public Transport Accessibility Levels) di Kota Surabaya

Economic Student Scientific Publication Model Exploration Factor Analysis (EFA) Approach

COVID-19 Impacts on Online and In-Store Shopping Behaviors: Why they Happened and Whether they Will Last Post Pandemic

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