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Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Gr...

Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Gr...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1a6db513a3cc4a92b7cde2a20fe2ce18

Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Greenhouse Gas Emission Reduction of Dockless Bike-Sharing Trips: A Case Study of Shenzhen, China

About this item

Full title

Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Greenhouse Gas Emission Reduction of Dockless Bike-Sharing Trips: A Case Study of Shenzhen, China

Publisher

Basel: MDPI AG

Journal title

ISPRS international journal of geo-information, 2024-08, Vol.13 (8), p.287

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Existing studies have limited evidence about the complex nonlinear impact mechanism of road network topology and built environment on bike-sharing systems’ greenhouse gas (GHG) emission reduction benefits. To fill this gap, we examine the nonlinear effects of road network topological attributes and built environment elements on the potential GHG em...

Alternative Titles

Full title

Identifying the Nonlinear Impacts of Road Network Topology and Built Environment on the Potential Greenhouse Gas Emission Reduction of Dockless Bike-Sharing Trips: A Case Study of Shenzhen, China

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1a6db513a3cc4a92b7cde2a20fe2ce18

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1a6db513a3cc4a92b7cde2a20fe2ce18

Other Identifiers

ISSN

2220-9964

E-ISSN

2220-9964

DOI

10.3390/ijgi13080287

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