Results 1 - 10 of 15 (Sorted by date)
Peer-reviewed Article
In The 23rd International Conference of Hongkong Society for Transportation Studies
Recently, several cities in Indonesia have begun implementing pedestrianisation program that hold promise to encourage non-motorized transport (NMT) in rapidly motorizing cities and provide citizens with safer, cleaner, and more visually appealing walking environments. However, successful implementation of these programs depends on whether they...
Peer-reviewed Article
In Sustainability Science
Author:
Shizuka
Hashimoto
Haripriya
Gundimeda
This paper presents a systematic review of biodiversity/ecosystem services scenario exercises from the Asia–Pacific region. From the limited scholarly literature available, 61 scenario exercises were examined to explore their typology and multiple scenario attributes, including geographic distribution, consideration for influential drivers, choices...
Peer-reviewed Article
In Sustainable Cities and Society
Author:
Kiyo
KURISU
Keisuke
HANAKI
Climate change has been one of the central issues for long-term transformations of cities. However, environmental loads have not been effectively taken into account for future urban plans. Specifically, possible reductions of carbon emissions from cities significantly rely on technological progress and human lifestyle changes, among other factors...
Peer-reviewed Article
In Sustainable Cities and Societies
Author:
R.L.
Kaswanto
Nurhayati
Arifin
Aris
Munandar
Hadi Susilo
Arifin
Muchamad
Muchtar
Kei
Gomi
Tsuyoshi
Fujita
This article analyzes which factors influenced willingness to purchase residential electricity savings technologies in Bogor, Indonesia. Survey data collected from 600 households between October and November 2015 was used to test hypotheses on demographic, informational, and participatory determinants of willingness to invest in energy efficient...
Peer-reviewed Article
In Sustainability Science
Author:
Shizuka
Hashimoto
Kei
Kabaya
Takanori
Matsui
Chihiro
Haga
Osamu
Saito
Population-decline and subsequent underuse of social-ecological landscapes are increasingly being recognized as one of the crucial drivers behind the loss and deterioration of biodiversity and ecosystem services. In line with this, the study aimed to explore how alternative development pathways influence future land-use patterns, biodiversity and...
Peer-reviewed Article
In Remote Sensing
Author:
Stefanos
Georganos
Tais
Grippa
Moritz
Lennert
Eléonore
Wolff
To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover maps. A crucial step in GEOBIA is the appropriate parametrization of the segmentation algorithm prior to the classification. However, little effort has been made to automatically...
Peer-reviewed Article
In Sustainability
Author:
Tomio
Miwa
Morikawa
Takayuki
This paper focuses on understanding the difference between East and West Japan with respect to citizens’ subjective views on renewable energy. A comparative analysis was performed for cities in the east and west because renewable energy is a natural resource unique to each location and suitable for a distributed energy network operated under the...
Peer-reviewed Article
In Journal of the Eastern Asia Society for Transportation Studies
Author:
Russ Bona
Frazila
Febri
Zukhruf
Kardina
Nawassa
Jongga
Jihanny
Due to its significance for bringing the considerably benefit to the transportation network performance, the several initiatives has been proposed for evaluating and improving the pedestrian facilities. However, such efforts are generally conducted within the framework of walkability, which typically put the attention to the walker perspectives...
Peer-reviewed Article
In Journal of Applied Remote Sensing
Author:
Tengyu
Fu
Lei
Ma
Manchun
Li
A new method for classifying land cover features in high resolution satellite imagery was developed. The method involves (1) performing image segmentation to delineate homogeneous ground objects in the image, and (2) using a convolutional neural network classifier to extract the land cover of the segments (i.e. whether they represent buildings...
Peer-reviewed Article
In International Journal of Remote Sensing
Author:
Shahab E.
Jozdani
Mehdi
Momeni
Mehran
Sattari
Multiresolution segmentation (MRS) is one of the most commonly used image segmentation algorithms in the remote-sensing community. This algorithm has three user-defined parameters: scale, shape, and compactness. The scale parameter (SP) is the most crucial one in determining the average size of the image segments generated. Since setting this...