Effects of Transport Corridor Advancement on Agglomeration and Industrial Relocation – a Case Study of Disctrict 3 in Dallas

Subham Kharel, Parul Singh
{"title":"Effects of Transport Corridor Advancement on Agglomeration and Industrial Relocation – a Case Study of Disctrict 3 in Dallas","authors":"Subham Kharel, Parul Singh","doi":"10.31490/9788024846026-1","DOIUrl":null,"url":null,"abstract":"Cities serve as hubs for various activities that necessitate comprehensive transportation connectivity. This study examines the decadal urban agglomeration patterns from 2001- to 2020 and critically assesses the relationship between freeway developments, industrial relocation, and population density in the DFW (Dallas Fort Worth) metropolitan area. Landsat satellite imageries, US census, and open-source GIS datasets have been utilized in the study. Maximum Likelihood Classification (MLC) algorithm helped generate the vector database, using which Land Use/ Land Cover (LULC) variations were assessed. The calculated overall accuracies of the classified images for 2001, 2011, and 2020 were 93.12%, 91.87%, and 93.12%, and their corresponding kappa coefficients were 0.90, 0.89, and 0.90, respectively. Eventually, buffer generation techniques and summary statistics helped detect potential boom hotspots. Our results indicate that the highway advancement project lures industries, leading to population migration. The LULC variations suggest that the increase in highway infrastructure resulted in a surge in built-up and a decrease in open spaces in District-3 of DFW.","PeriodicalId":419801,"journal":{"name":"GIS Ostrava 2022 Earth Observation for Smart City and Smart Region","volume":"346 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GIS Ostrava 2022 Earth Observation for Smart City and Smart Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31490/9788024846026-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Cities serve as hubs for various activities that necessitate comprehensive transportation connectivity. This study examines the decadal urban agglomeration patterns from 2001- to 2020 and critically assesses the relationship between freeway developments, industrial relocation, and population density in the DFW (Dallas Fort Worth) metropolitan area. Landsat satellite imageries, US census, and open-source GIS datasets have been utilized in the study. Maximum Likelihood Classification (MLC) algorithm helped generate the vector database, using which Land Use/ Land Cover (LULC) variations were assessed. The calculated overall accuracies of the classified images for 2001, 2011, and 2020 were 93.12%, 91.87%, and 93.12%, and their corresponding kappa coefficients were 0.90, 0.89, and 0.90, respectively. Eventually, buffer generation techniques and summary statistics helped detect potential boom hotspots. Our results indicate that the highway advancement project lures industries, leading to population migration. The LULC variations suggest that the increase in highway infrastructure resulted in a surge in built-up and a decrease in open spaces in District-3 of DFW.
交通走廊推进对集聚和产业转移的影响——以达拉斯市3区为例
城市是各种活动的枢纽,需要全面的交通连接。本研究考察了2001年至2020年的十年城市群模式,并批判性地评估了DFW(达拉斯沃斯堡)大都市区高速公路发展、工业搬迁和人口密度之间的关系。研究中使用了陆地卫星图像、美国人口普查和开源GIS数据集。最大似然分类(MLC)算法帮助生成矢量数据库,使用该数据库评估土地利用/土地覆盖(LULC)变化。计算得到2001年、2011年和2020年分类图像的总体准确率分别为93.12%、91.87%和93.12%,对应的kappa系数分别为0.90、0.89和0.90。最终,缓冲区生成技术和汇总统计帮助发现了潜在的繁荣热点。研究结果表明,高速公路推进工程对产业的吸引,导致了人口的迁移。LULC的变化表明,公路基础设施的增加导致了DFW第3区建筑面积的激增和开放空间的减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信