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  4. Listen to the residents! How to develop successful and sustainable urban mobility concepts
 
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Listen to the residents! How to develop successful and sustainable urban mobility concepts

Type
conference speech
Date Issued
2022-11-02
Author(s)
Semmer, Michael  
Jordan, Paul
Rickert, Alice  orcid-logo
Abstract
Listen to the residents! This research provides policymakers and urban quarter developers with useful resident-based guidelines to implement sustainable mobility concepts in urban quarters. The concepts of car-reduced urban quarters to reduce traffic, minimise pollution and enhance the quality of life of its residents have gained increasing importance in policymakers’ agendas. However, an assessment of urban quarter residents’ mobility behaviour and needs has not been published. The present study comprehensively explains urban quarter residents’ daily mobility behaviour and needs. The questioned needs were analysed by the exploratory factor analysis (EFA). Subsequently, mobility needs-based clusters were identified by combining the hierarchical approach by Ward and the k-means approach. The study results reveal five mobility needs-based clusters in urban quarters: Traditional Cool, Time Optimizer, Cost Conscious, Healthy Entertained, and Sustainable Relaxed. The rating of the mobility needs shows that reliability, effort, and safety are the most important needs of the residents. The implications of our findings are discussed.
Language
English
HSG Classification
contribution to practical use / society
HSG Profile Area
SoM - Business Innovation
Publisher place
Zypern
Start page
1
End page
16
Event Title
5th ESEIA International Conference
Event Location
Zypern
Event Date
02.-04.11.2022
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/108103
Subject(s)

behavioral science

responsibility and su...

Division(s)

FAA - Institute for W...

Contact Email Address
michael.semmer@unisg.ch
Eprints ID
267967
File(s)
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Thumbnail Image

open.access

Name

221102_ESEIA_Lisen_to_the_residents.pdf

Size

812.13 KB

Format

Adobe PDF

Checksum (MD5)

531d3f9fae2861349e66c7e6059ad251

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