View in EDS

Assessing the impact of bridge construction on the land use/cover and socio-economic indicator time series: A case study of Hangzhou Bay Bridge: A case study of Hangzhou Bay Bridge

Saved in:
Bibliographic Details
Title: Assessing the impact of bridge construction on the land use/cover and socio-economic indicator time series: A case study of Hangzhou Bay Bridge: A case study of Hangzhou Bay Bridge
Authors: Lixia Chu, Yuting Zou, Dainius Masiliūnas, Thomas Blaschke, Jan Verbesselt
Contributors: Universitätsbibliothek
Source: GIScience & Remote Sensing, Vol 58, Iss 2, Pp 199-216 (2021)
Publisher Information: Informa UK Limited, 2021.
Publication Year: 2021
Subject Terms: google Earth Engine, 0211 other engineering and technologies, Mathematical geography. Cartography, 02 engineering and technology, cover time series, GA1-1776, 01 natural sciences, land use/cover time series, Sociology, Space Science, Environmental Sciences not elsewhere classified, 11. Sustainability, GE1-350, interrupted time series analysis, 0105 earth and related environmental sciences, socio-economic indicators, Ecology, 15. Life on land, google earth engine, Environmental sciences, Land use/cover time series, 13. Climate action, Land use, Medicine, bridge construction, random forest, Biological Sciences not elsewhere classified
Description: Construction of transportation infrastructure is a vital step in boosting economic and societal opportunities and often results in land use changes. In this study, we focus on the land use dynamics of the urban agglomeration around Hangzhou Bay, where the Qiantang River flows into the East China Sea. The Hangzhou Bay Bridge crosses the bay since 2008. We used Interrupted Time Series Analysis (ITSA) to analyze the influence of the bridge on the land use and land cover (LULC) time series of the surrounding areas and on socio-economic indicators. We applied the Random Forest method to classify Landsat imagery from 2000 to 2017, thus enabling us to quantify LULC changes before and after the construction of the Hangzhou Bay Bridge. Google Earth Engine (GEE) was used for data acquisition, pre-processing, and classification. The results showed that during the period from 2000 to 2017, impervious surface areas expanded rapidly at the expense of agricultural land, and this transformation continued even more rapidly after 2008. ITSA showed that the driver behind the impervious surface area expansion switched from residential and industrial area growth in 2000–2008, to exclusively infrastructure area growth in 2008–2017. The construction of the bridge accelerated the expansion of impervious surface in the joint area of the bridge-connected cities of Ningbo and Jiaxing. With the Hangzhou Bay Bridge connection, various socio-economic factors, including tourism, GDP, tertiary industry, real estate investment, and highway freight, increased rapidly. The outcomes of this research could contribute to policymaking and impact assessments for sustainable urban development and land management. The methods used in this study are universal and therefore can also be used to assess the effect of any notable event that may impact LULC change.
Document Type: Article
Other literature type
Language: English
ISSN: 1943-7226
1548-1603
DOI: 10.1080/15481603.2020.1868212
DOI: 10.6084/m9.figshare.13601047
DOI: 10.6084/m9.figshare.13601047.v1
Access URL: http://library.wur.nl/WebQuery/wurpubs/fulltext/539301
https://doaj.org/article/07fe6dc3b1bb4b6089247ad2bbb3fae9
https://www.tandfonline.com/doi/full/10.1080/15481603.2020.1868212
https://www.narcis.nl/publication/RecordID/oai%3Alibrary.wur.nl%3Awurpubs%2F576841
https://www.tandfonline.com/doi/pdf/10.1080/15481603.2020.1868212
https://research.wur.nl/en/publications/assessing-the-impact-of-bridge-construction-on-the-land-usecover-
https://eplus.uni-salzburg.at/id/7951884
https://resolver.obvsg.at/urn:nbn:at:at-ubs:3-26696
https://doi.org/10.1080/15481603.2020.1868212
Rights: CC BY
Accession Number: edsair.doi.dedup.....e0f1e8f62ff823eb23995e8d6e9127bf
Database: OpenAIRE
Description
Abstract:Construction of transportation infrastructure is a vital step in boosting economic and societal opportunities and often results in land use changes. In this study, we focus on the land use dynamics of the urban agglomeration around Hangzhou Bay, where the Qiantang River flows into the East China Sea. The Hangzhou Bay Bridge crosses the bay since 2008. We used Interrupted Time Series Analysis (ITSA) to analyze the influence of the bridge on the land use and land cover (LULC) time series of the surrounding areas and on socio-economic indicators. We applied the Random Forest method to classify Landsat imagery from 2000 to 2017, thus enabling us to quantify LULC changes before and after the construction of the Hangzhou Bay Bridge. Google Earth Engine (GEE) was used for data acquisition, pre-processing, and classification. The results showed that during the period from 2000 to 2017, impervious surface areas expanded rapidly at the expense of agricultural land, and this transformation continued even more rapidly after 2008. ITSA showed that the driver behind the impervious surface area expansion switched from residential and industrial area growth in 2000–2008, to exclusively infrastructure area growth in 2008–2017. The construction of the bridge accelerated the expansion of impervious surface in the joint area of the bridge-connected cities of Ningbo and Jiaxing. With the Hangzhou Bay Bridge connection, various socio-economic factors, including tourism, GDP, tertiary industry, real estate investment, and highway freight, increased rapidly. The outcomes of this research could contribute to policymaking and impact assessments for sustainable urban development and land management. The methods used in this study are universal and therefore can also be used to assess the effect of any notable event that may impact LULC change.
ISSN:19437226
15481603
DOI:10.1080/15481603.2020.1868212