Time-Dependent O-D Estimation of Urban Expressway with Multi-Source Data Fusion: A Case Study of Suzhou

2021 ◽  
Author(s):  
Sihan Wang ◽  
Xiang Wang ◽  
Po Zhao ◽  
Wenjuan E ◽  
Xi Wang
2017 ◽  
Vol 4 (1) ◽  
pp. 82 ◽  
Author(s):  
Noezafri Amar

This research was aimed at describing the accuracy level of Google Translate especially in translating English text into Indonesian based on language error analysis and the use of equivalence strategy. The data were collected by taking one paragraph from Johann Gottfried Herder’s Selected Writings on Aesthetics book as the source text. Then they were translated by Google Translate (GT). The data of GT translation were analyzed by comparing them with the measurement instrument of translation equivalence level and elaborating the equivalence strategy of GT. By doing so the language errors were seen thus the accuracy level of GT translation could be described. The result of this research showed that (1) out of 13 source data only 4 or 31% are accurate translation, 7 or 54% are less accurate translation, and 2 or 15% are inaccurate translation. Therefore it is implied that its reliability for accurate level is only 31%. Half of them is less understandable and a few are not understandable. (2) If the appropriate equivalence translation strategy is sufficiently transposition and literal, GT can produce an accurate translation. (3) If the appropriate equivalence translation strategy is combined strategy between transposition and modulation or descriptive, more difficult strategies, GT just produce less accurate translation because it kept using literal and transposition strategies. (4) But if the appropriate equivalence translation strategy is only modulation, GT just produce inaccurate translation which is not understandable because it can only use transposition strategy. Even if the appropriate equivalence translation strategy is just a transposition strategy, in one case, GT failed to translate and it produced inaccurate translation because its strategy is only literal. In conclusion, especially in this case study, Google Translate can only translate English source text into Indonesian correctly if the appropriate equivalence translation strategy is just literal or transposition.AbstrakPenelitian ini bertujuan untuk mendeskripsikan tingkat keakuratan Google Translate khususnya dalam menerjemahkan teks berbahasa Inggris ke dalam bahasa Indonesia berdasarkan analisis kesalahan bahasa dan penggunaan strategi pemadanan. Data dikumpulkan dengan mengambil satu paragraf dari buku Johann Gottfried Herder yang berjudul ‘Selected Writings on Aesthetics’ sebagai teks sumber. Kemudian data tersebut diterjemahkan oleh Google Translate (GT). Data terjemahan GT itu dianalisis dengan cara membandingkannya dengan instrumen pengukur tingkat kesepadanan terjemahan dan menjelaskan strategi pemadanan yang digunakan. Dengan melakukan hal tersebut kesalahan bahasanya dapat terlihat sehingga tingkat keakuratan terjemahan GT dapat dideskripsikan. Hasil penelitian ini menunjukan bahwa (1) Dari 13 data sumber hanya 4 data atau 31% yang merupakan terjemahan akurat, 7 data atau 54% merupakan terjemahan yang kurang akurat, dan 2 data atau 15% merupakan terjemahan tidak akurat. Dengan demikian tingkat kehandalannya sampai pada tingkat akurat hanya sebesar 31% saja. Sementara sekitar setengahnya lagi kurang dapat dipahami. Sedangkan sisanya tidak bisa dipahami. (2) Apabila strategi pemadanan yang seharusnya dipakai cukup transposisi dan terjemahan literal saja ternyata GT mampu menghasilkan terjemahan yang akurat. (3) Apabila strategi yang harus dipakai adalah strategi kombinasi antara transposisi dan modulasi atau deskriptif, strategi yang lebih sulit, GT hanya mampu menghasilkan terjemahan yang kurang akurat karena tetap menggunakan strategi penerjemahan literal dan transposisi saja. (4) Tetapi apabila strategi yang seharusnya dipakai hanya strategi modulasi saja GT hanya menghasilkan terjemahan tidak akurat, yang tidak bisa dipahami karena hanya mampu memakai strategi transposisi saja. Bahkan jika seharusnya strategi yang dipakai adalah sekedar transposisi, pada satu kasus, GT ternyata gagal menerjemahkan dan menghasilkan terjemahan tidak akurat karena strategi yang dipakainya adalah penerjemahan literal. Sebagai simpulan, khususnya dalam studi kasus ini, Google Translate hanya mampu menerjemahkan teks sumber berbahasa Inggris ke dalam bahasa Indonesia secara akurat jika strategi pemadanannya yang sesuai hanya sekedar literal atau transposisi.


2021 ◽  
Vol 13 (15) ◽  
pp. 8490
Author(s):  
Hongjie Peng ◽  
Lei Hua ◽  
Xuesong Zhang ◽  
Xuying Yuan ◽  
Jianhao Li

In recent years, ecosystem service values (ESV) have attracted much attention. However, studies that use ecological sensitivity methods as a basis for predicting future urban expansion and thus analyzing spatial-temporal change of ESV are scarce in the region. In this study, we used the CA-Markov model to predict the 2030 urban expansion under ecological sensitivity in the Three Gorges reservoir area based on multi-source data, estimations of ESV from 2000 to 2018 and predictions of ESV losses from 2018 to 2030. Research results: (i) In the concept of green development, the ecological sensitive zone has been identified in Three Gorges reservoir area; it accounts for about 35.86% of the study area. (ii) It is predicted that the 2030 urban land will reach 211,412.51 ha by overlaying the ecological sensitive zone. (iii) The total ESV of Three Gorges Reservoir area showed an increasing trend from 2000 to 2018 with growth values of about USD 3644.26 million, but the ESVs of 16 districts were decreasing, with Dadukou and Jiangbei having the highest reductions. (iv) New urban land increases by 80,026.02 ha from 2018 to 2030. The overall ESV losses are about USD 268.75 million. Jiulongpo, Banan and Shapingba had the highest ESV losses.


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