城市地区能源消费行为影响因素评价

Md. Nazmul Haque, Arpita Bakshi, Fathum Mobin
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引用次数: 1

摘要

本文主要探讨了居民能源消费行为变化对生态生存力的影响。然后探讨了生态足迹增长背后的因素(环境资源)。考虑到库尔纳市自然元素丰富,居住特征高,选择ward-4作为研究区。这项研究采用了三步走的方法。首先,在地理空间环境中对地理和地形数据进行分析。这有助于制定环境绩效框架。地理信息系统(GIS)有助于评估某些现有资产的资源兼容性的当前情景和过去情景。第二阶段是对居民的能源消费行为及其影响因素的评估。第三部分在环境影响评价的解释变量下,运用NSA方法研究了包括社会经济问题和环境状况的环境绩效指数。4区基本自然资产特别是水体和植被近年来随着堆积物面积的增大而急剧减少。本研究完全基于利益相关者对能源消耗模式的感知,所有进一步的评估都依赖于这一概念。为了评估行为改变因素,收入范围与能源消耗之间的相关性似乎是正线性的。它代表了随着财富的增长,人们想要转换高能耗电器。第三阶段根据环境绩效指标对环境健康(衡量对人类健康的威胁)和生态活力(衡量生态系统服务和自然资源)进行评估。由于研究对象多为研究区域内的当地居民,故将邻里可持续性评价(NSA)方法与EPI方法相结合,对指标进行评分。环境绩效指数(EPI)的大致得分为53%左右,表明该地区的现状处于中等水平,偏离标准值。本研究旨在通过测量环境压力对人类健康和生态系统的影响,找出ward-4的环境可行性,为政府迈向可持续发展的未来提供实践指导。
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ASSESSING THE FACTORS OF ENERGY CONSUMPTION BEHAVIOR IN URBAN AREA
This paper focuses on delineation of ecological viability due to changes of household energy consumption behavior. Then the research also explored the factors (Environmental resources) behind growing ecological footprint. For having a lot of natural elements and high residential characteristics ward-4 of Khulna city was selected as study area. The research followed a three step approaches. At first, geographical and topographical data are analyzed in geo-spatial environment. Which helped to draw the Environmental Performance framework. Geographical Information system (GIS) helps to evaluate the current scenario and past scenario of the resource compatibility of some existing assets. The second phase is all about assessing the residents’ behavior towards energy consumption practice and the influencing factors behind this. The third part showed the environmental performance index (EPI) that include both the socio-economic problems and environmental circumstances using NSA method under the explanatory variables of environmental impact assessment (EIA). Essential natural assets especially water body and the vegetation has decreased at tremendous rate in recent time in Ward-4 with the enhancement of buildup area. This research is totally based on stakeholder perception towards energy consumption pattern and all the further assessment depend on this concept. To assess the behavioral changing factors, it seems that the correlation between income range and energy consumption is positive and linear. It represents that people want to switch high energy consumption appliances with growing wealth. Third phase assess environmental health (measure threat to human health) and ecological vitality (measures ecosystem service and natural resources) under environmental performance index. As the study is mostly involved local residents of study area so the method of neighborhood sustainability Assessment (NSA) is combined with EPI method for scoring the indicators. The approximate score of Environmental Performance Index (EPI) is around 53 percent demarcating the areas existing situation is in moderate rate and diverted from the standard value. This research draw attention to find out environment viability of ward-4 by measuring environmental stress to human health and ecosystem for providing practical guidance to government that aspire to move towards sustainable future.
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