Improving post-disaster road network accessibility by strengthening links against failures

Road traffic is the most widely used for transport security, which have the significant disaster vulnerability. It often becomes the weak link when the evacuation and rescue. MapX is an ActiveX control product with powerful map analysis functions offered by MapInfo Company. Because it does not support the topology of spatial data, the shortest path analysis has become a hot potato for users to develop application systems. In this paper, several key technologies to establish topology structure of road network based on MapX are discussed. On the base, an algorithm for finding the shortest path in post-disaster road network is presented, and experimental results show that the proposed algorithm is more practical and effective. At last, a brief conclusion as well as the expectation for the further study is made.

Download Full-text

Analisis Spasial untuk Lokasi Relokasi Masyarakat Terdampak Tsunami Selat Banten Tahun 2018

BHUMI Jurnal Agraria dan Pertanahan ◽

10.31292/jb.v5i1.323 ◽

2019 ◽

Vol 5 (1) ◽

pp. 112

Author(s):

Westi Utami ◽

Yuli Ardianto Wibowo ◽

Muhamad Afiq

Keyword(s):

Spatial Pattern ◽

Spatial Data ◽

Road Network ◽

Class 1 ◽

Prone Area ◽

Vulnerability Map ◽

Hazard Level ◽

Suitable Area ◽

Center Map ◽

Post Disaster

Abstract: Relocation is an alternative policy in post-disaster management, especially in disaster-prone area. This study was conducted to map alternative locations of relocation of affected people in 2018 Banten Strait tsunami in Mekarsari Village. The method used is an analysis of superimposed spatial data using aerial photograph, disaster hazard level map, spatial pattern map, road network, economic center map and Geo-KKP data. Analysis of vulnerability map and spatial pattern map was done through scoring. Accessibility analysis was conducted using road network map and economic center was carried out using buffer analysis. The results show that in Mekarsari Village, Banten, alternatives locations of relocation were obtained in 3 classes: class 1 for 173,013 Ha; class 2 for 115,180 Ha and class 3 for 269,806 Ha. This study is useful to determine suitable area for relocation quickly, appropriately, effectively and in accordance with Spatial Planning.Key Word: Victim population, Spatial Analysis, Post-Disaster Relocation, Tsunami.Intisari: Relokasi menjadi salah satu alternatif kebijakan yang dapat dilakukan pasca bencana, untuk daerah yang memiliki ancaman bencana tinggi. Kajian ini dilakukan untuk memetakan alternatif lokasi relokasi bagi masyarakat terdampak tsunami d Selat Banten tahun 2018 dengan lokasi di Desa Mekarsari. Metode yang dilakukan menggunakan analisis superimposed data spasial yakni foto udara, peta tingkat kerawanan bencana, peta pola ruang, peta jaringan jalan, peta pusat perekonomian dan data Geo-KKP. Analisis terhadap peta tingkat kerawanan bencana dan peta pola ruang dilakukan melalui skoring. Analisis terkait aksesibilitas dilakukan menggunakan peta jaringan jalan dan pusat perekonomian dilakukan melalui sistem buffer. Hasil penelitian menunjukkan bahwa di Desa Mekarsari, Banten diperoleh alternatif relokasi relokasi dengan 3 klasifikasi kelas yaitu relokasi kelas 1 seluas 173.013 Ha; lokasi relokasi kelas 2 seluas 115.180 Ha dan lokasi relokasi kelas 3 seluas 269.806 Ha. Kajian yang dilakukan menjadi salah satu metode untuk menetukan relokasi secara cepat dan tepat, dan efektif karena lokasi yang dipilih sesuai dengan RTRW.Kata Kunci: Masyarakat Terdampak, Analisis Spasial, Relokasi Pasca Bencana, Tsunami.

Download Full-text