Salah satu upaya dalam mewujudkan tujuan pembangunan adalah dengan pengembangan wilayah yang disesuaikan dengan potensi, permasalahan dan kondisi eksisting wilayah yang bersangkutan. Setiap wilayah memiliki karakteristik masing-masing yang membedakan wilayah tersebut dengan wilayah lainnya. Karakteristik yang berbeda pada setiap wilayah menyebabkan potensi dan permasalahan pada wilayah tersebut juga berbeda sehingga strategi pengembangan wilayah juga berbeda. Koridor barat - timur merupakan salah satu dari sebelas kawasan strategis ekonomi provinsi yang ada di Sumatera Barat. Koridor barat - timur yang melingkupi sembilan kabupaten/kota dan 65 kecamatan mempunyai karakteristik dan tipologi yang beragam, sehingga strategi pengembangan koridor barat - timur juga beragam. Dalam penelitian ini ingin melihat karagaman karakteristik dan tipologi kawasan strategis ekonomi provinsi koridor barat - timur. Metode yang digunakan adalah dengan teknik analisis Principal Component Analysis (PCA). Pengelompokkan karakteristik dan tipologi wilayah berdasarkan pada dimensi potensi ekonomi, struktur wilayah, lingkungan, dan topografi. Dimensi potensi terdiri dari 12 variabel pengamatan ekonomi menghasilkan 4 komponen utama yang dikelompokkan menjadi 1) perdagangan dan jasa wisata, 2) peternakan dan perikanan, 3) pertanian dan perkebunan, 4) wisata. Hasil dimensi potensi ekonomi adalah perdagangan dan jasa wisata 38 kecamatan, peternakan dan perikanan 15 kecamatan, pertanian dan perkebunan 7 kecamatan dan wisata 4 kecamatan. Dimensi struktur wilayah dari 11 variabel pengamatan menghasilkan 2 komponen utama yang dikelompokkan menjadi 1) perkotaan, 2) pedesaan. Hasil dimensi struktur wilayah adalah perkotaan 49 kecamatan, pedesaan 16 kecamatan. Dimensi lingkungan dikelompokkan menjadi 1) kawasan rawan bencana, 2) kawasan tidak rawan bencana. Dimensi topografi dikelompokkan menjadi 1) dataran rendah, 2) dataran tinggi.

Regional development is a fundamental change in the socio-economic, cultural, and institutional structure to overcome income inequality and alleviate poverty. Regional development aims to formulate and apply theoretical frameworks into policies and programs by integrating social and environmental aspects to realise optimal and sustainable welfare. Learning the role of strategic areas and regional sustainability is necessary to support complete service facilities. The construction of good service facilities ensures efficiency, facilitates the movement of goods and services and increases the added value of the economy. This study looks at the spatial diversity of the factors that influence the Service Facility Index to develop a sustainable west-east corridor strategic economic area. The method used in this research is the scalogram method and Geographically Weighted Regression, with the unit of analysis being the sub-district. The analysis results show that the spatial pattern of the Service Facility Index based on the investigation of Moran I is random along the west-east corridor. The factors that significantly affect the sustainable development of the west-east corridor are the area’s population and altitude.

The West-East corridor is one of the main gateways to enter West Sumatra Province. The West-East corridor, which passes through 65 districts, has a variety of potentials and problems. This means, the growth rate of each district will be different. The growth rate and strength of the relationship among regions can be observed through the gravity model's spatial interactions. The gravity model can calculate the relative strength of the relationship between regions. To see the strength of the relationship among regions in the West-East corridor, strategic economic areas were taken into considerations based on their distance and several observational variables, which were the total population variable, infrastructure completeness, level of security, and investment value. Observation analysis units consisted of sixty-five sub-districts along the West-East corridor. Mass 1 (M1) was the central government, West Padang district, and mass 2 (M2) was the other 64 sub-districts. The analysis results show that the total population, infrastructure completeness, level of security, and investment value are not only influenced by their closeness to the government/city center. The infrastructure completeness factor can influence the total population in a region. Likewise, the investment value can be influenced by the infrastructure completeness and the level of security in a region.JEL Classification: O10; R12; R19