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Abstrak :
Penelitian bertujuan untuk menganalisis preferensi dan karakteristik pekerja berdasarkan pilihan tempat kerja seperti rumah, co-working space, dan non co-working space serta menghitung besarnya rebound effect Kota Bekasi saat diberlakukannya skema Work From Anywhere (WFA). Analisis yang dilakukan terdiri dari analisis karakteristik pekerja dan rebound effect dari pengembangan model. Data primer yang digunakan untuk analisis diperoleh dari penyebaran kuesioner dan wawancara tatap muka secara online dan offline kepada pekerja kantor Jakarta yang berdomisili di Kota Bekasi. Pertanyaan kuesioner terdiri dari bagian karakteristik responden dan dua bagian pertanyaan stated preference yang digunakan untuk dua penelitian berbeda. Penelitian ini melanjutkan hasil statistik deskriptif dari bagian pertama pertanyaan stated preference dan kemudian dikembangkan model untuk analisis rebound effect. Model yang dikembangkan adalah logit biner yang mensyaratkan dibangunnya fungsi utilitas pada setiap kelompok data. Sebelum ditetapkan sebagai model yang dapat mewakili kelompok data, seluruh model yang terbentuk diuji kelayakannya dengan uji Omnibus, Hosmer and Lemenshow’s Goodness of Fit, dan -2 Log Likelihood. Model yang terbukti kelayakannya diuji validitas dengan metode Root Mean Square Error (RMSE) dan model dengan RMSE terkecil ditetapkan sebagai model terbaik. Hasil dari pengembangan model menunjukkan bahwa sebanyak 55% sampel yang keluar rumah dari pertanyaan bagian pertama stated preference memilih co-working space pada 5-10 hari WFA yang mereka miliki sebagai tempat kerja alternatif . Selain itu, disimpulkan bahwa terjadi kenaikan preferensi ke luar rumah sebesar 8% jika ada pilihan tempat kerja alternatif yang lebih konkret. ......The study aims to analyze worker preferences and characteristics based on workplace choices such as home, co-working space, and non-co-working space and to calculate the potential rebound effect emerging in Bekasi City when the Work From Anywhere (WFA) scheme is implemented. The analysis consists of worker characteristics analysis and rebound effect from model development. The primary data used for the analysis were obtained from distributing questionnaires and face-to-face online and offline interviews to Jakarta office workers domiciled in Bekasi City. The questionnaire questions consist of a respondent characteristics section and two stated preference section used for two different studies. This study continues the descriptive statistical results from the first part of the stated preference questions and then develops a model for rebound effect analysis. The model developed is a binary logit that requires the construction of an utility function on each data group. Before being determined as a model that can represent the data group, all models formed are tested for feasibility with the Omnibus test, Hosmer and Lemenshow's Goodness of Fit, and -2 Log Likelihood. Models that are proven to be feasible are tested for validity using the Root Mean Square Error (RMSE) method and model with the smallest RMSE is determined as the best model. The results of the model development show that as many as 55% of the samples who left the house from the first part of the stated preference question chose co-working space on their 5-10 days of WFA as an alternative workplace. In addition, it was concluded that there was an increase in preference to leaving the house by 8% if there was a more concrete choice of alternative workplace.

Abstrak :
[ABSTRAK
Indonesia terletak di wilayah geografis yang rentan terhadap perubahan iklim. Meskipun intensitas energinya terus menurun, namun konsumsi energi dan emisi karbon terus meningkat. Sehingga diduga terdapat fenomena rebound effect. Studi ini menggunakan model keseimbangan umum (CGE) untuk menganalisis fenomena rebound effect di Indonesia, serta dampak pengurangan subsidi energi dan pengurangan pajak pendapatan terhadap rebound effect dan perekonomian. Hasil simulasi menjunjukkan bahwa di Indonesia terdapat fenomena rebound effect, dimana pengurangan subsidi energi dapat menurunkan rebound effect secara efektif, serta berdampak positif terhadap perekonomian. Meskipun dapat menurunkan rebound effect, penerapan pengurangan pajak penghasilan berdampak negatif bagi perekonomian.;

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ABSTRACT
Indonesia is located in the geographic areas that are vulnerable to global climate change. Despite the energy intensity is declining, the energy consumption and carbon emissions continue to increase. So the existance of rebound effect phenomenon is suspected. This study uses a general equilibrium model (CGE) to analyze rebound effect phenomenon in Indonesia, and also to analyze the impact of energy subsidy reduction and income tax reduction to the rebound effect and the economy. The simulation results shows that the rebound effect phenomenon is exist in Indonesia, in which the reduction of the energy subsidies can reduce the rebound effect effectively, and it has a positive impact to the economy. Although it may reduce the rebound effect, the implementation of the income tax reduction has negative impact to the economy., IIndonesia is located in the geographic areas that are vulnerable to global climate change. Despite the energy intensity is declining, the energy consumption and carbon emissions continue to increase. So the existance of rebound effect phenomenon is suspected. This study uses a general equilibrium model (CGE) to analyze rebound effect phenomenon in Indonesia, and also to analyze the impact of energy subsidy reduction and income tax reduction to the rebound effect and the economy. The simulation results shows that the rebound effect phenomenon is exist in Indonesia, in which the reduction of the energy subsidies can reduce the rebound effect effectively, and it has a positive impact to the economy. Although it may reduce the rebound effect, the implementation of the income tax reduction has negative impact to the economy.]

Abstrak :
Keberhasilan skema work from home dalam mengurangi jumlah perjalanan dan kemacetan selama pandemi COVID-19 menunjukkan potensi untuk menerapkannya sebagai strategi pengelolaan permintaan transportasi dengan sistem obligatory dari pemerintah. Namun, kebijakan ini juga berpontensi menghasilakan rebound effect berupa pertambahan bangkitan perjalanan baru di daerah asal pekerja yang bekerja dari rumah. Oleh karena itu, penelitian ini akan menganalisis potensi tersebut dengan menggunakan sampel Provinsi DKI Jakarta sebagai provinsi yang menerapkan kebijakan dan Kota Bekasi sebagai kota tinjauan. Analisis penelitian ini dilakukan dengan menggunakan model pemilihan diskrit logit binomial dengan membentuk fungsi utilitas menggunakan pendekatan regresi logistik. Fungsi utilitas dibentuk oleh variabel yang memiliki korelasi tinggi dengan keputusan responden. Selanjutnya, fungsi utilitas yang terbentuk akan diuji menggunakan uji omnibus, uji hosmer-lemeshow, uji -2 Log Likelihood dan uji validitas dengan metode root mean square error. Fungsi utilitas dengan hasil uji terbaik dipilih pada setiap kelompok, kemudian dibandingkan menggunakan metode Mann Whitney untuk mengetahui signifikansi perbedaan setiap model yang terbentuk. Model terpilih merupakan dasar analisis potensi perjalanan baru di Kota Bekasi akibat penerapan kebijakan work from home (WFH) di Jakarta. Generasi usia, waktu, dan biaya perjalanan merupakan variabel yang mempengaruhi mobilisasi saat skema work from home dilakukan, dengan 66,79% generasi Z dan 62,63% non-generasi Z pengguna motor; serta 77,55% generasi Z dan 59,15% non-generasi Z pengguna mobil di Kota Bekasi yang bekerja di Kota Jakarta akan melakukan mobilitas di luar rumah pada 5 sampai 10 hari work from home mereka. Nilai ini merupakan pertambahan bangkitan perjalanan lokal baru yang terbentuk akibat kebijakan. ......The success of the work-from-home (WFH) scheme in reducing travel and congestion during the COVID-19 pandemic underscores its potential as a government-mandated transportation demand management strategy. However, this policy also carries the risk of a rebound effect, leading to increased trips originating from employees working from home. This study analyzes this phenomenon using samples from DKI Jakarta province, where the policy is implemented, with Bekasi City as the focal area. The analysis employs a discrete choice model using binomial logit and constructs a utility function via logistic regression. This function is built on variables strongly correlated with respondents' decisions. Validation includes tests like omnibus, Hosmer-Lemeshow, -2 Log Likelihood, and root mean square error. The utility function yielding the best results in each group is selected and compared using the Mann-Whitney method to assess model differences. This selected model serves as the basis for forecasting potential new trips in Bekasi City resulting from Jakarta's WFH policy. Generation age, travel time, and travel cost are variables influencing mobility during the WFH scheme, with 66.79% of Generation Z and 62.63% of non-Generation Z motorbike users; and 77.55% of Generation Z and 59.15% of non-Generation Z car users in the City of Bekasi working in Jakarta likely to engage in mobility outside the home during 5 to 10 days of their WFH period. These findings highlight the anticipated increase in local trip generation as a consequence of the WFH policy implementation.