Loading…

How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources

This paper presents a mobility-resource ownership model. The model captures inter-related personal mobility decisions: which transport mode (out of those available to a decision-maker) to use for a particular trip and which mobility resources (e.g., car, bicycle, transit season ticket or a combinati...

Full description

Saved in:
Bibliographic Details
Published in:Sustainability 2018-03, Vol.10 (4), p.912
Main Authors: Plevka, Vaclav, Astegiano, Paola, Himpe, Willem, Tampère, Chris, Vandebroek, Martina
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3
cites cdi_FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3
container_end_page
container_issue 4
container_start_page 912
container_title Sustainability
container_volume 10
creator Plevka, Vaclav
Astegiano, Paola
Himpe, Willem
Tampère, Chris
Vandebroek, Martina
description This paper presents a mobility-resource ownership model. The model captures inter-related personal mobility decisions: which transport mode (out of those available to a decision-maker) to use for a particular trip and which mobility resources (e.g., car, bicycle, transit season ticket or a combination) should the decision-maker own to enable the most “appropriate” set of transport modes. Importantly, the mobility decisions are not evaluated only for a single trip or a single day. In fact, for each decision-maker, an entire set of trips, observed over multiple days, is evaluated. We call this personal accessibility to travel. We present a two-step discrete choice model that includes both mode choice and ownership decisions. The model is estimated based on household travel survey data from Germany. This paper also investigates the simulation of travel times for non-chosen modes that are required as an input. The estimation results show significant effects of the personal accessibility and travel frequency on mobility-resource ownership decisions. To further validate the estimation, the forecasting and sensitivity analysis of the model for different scenarios is evaluated. The proposed model offers an efficient solution to situations when the impact of transport sustainability measures on mobility behaviour needs to be plausibly predicted.
doi_str_mv 10.3390/su10040912
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2041051413</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2041051413</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3</originalsourceid><addsrcrecordid>eNpNUMtKA0EQHETBEHPxCwa8Cas9j30dQzRGiEQknpfZ2R7cEHfi9Mawf-9IAtqX6kNVUVWMXQu4U6qEe9oLAA2lkGdsJCEXiYAUzv_9l2xCtIF4SolSZCNmF_7AXzGQ78yWT61ForZut20_cNM1fB7wa4-dHbh3fB3MN0aWc2h7vjp0UffR7vgD2pZa3xH3HX_xJ_kbkt-HaHjFLpzZEk5OOGbv88f1bJEsV0_Ps-kysbJM-0RB1tjCapm7wulUFxadNVI0rtCZNFkJElOHqMEYURRlpqyxdS5MLmpTZ40as5uj7y74GJr6ahMDxF5USdCxv9BCRdbtkWWDJwroql1oP00YKgHV747V347qB2F6Zfs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2041051413</pqid></control><display><type>article</type><title>How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources</title><source>Publicly Available Content Database</source><creator>Plevka, Vaclav ; Astegiano, Paola ; Himpe, Willem ; Tampère, Chris ; Vandebroek, Martina</creator><creatorcontrib>Plevka, Vaclav ; Astegiano, Paola ; Himpe, Willem ; Tampère, Chris ; Vandebroek, Martina</creatorcontrib><description>This paper presents a mobility-resource ownership model. The model captures inter-related personal mobility decisions: which transport mode (out of those available to a decision-maker) to use for a particular trip and which mobility resources (e.g., car, bicycle, transit season ticket or a combination) should the decision-maker own to enable the most “appropriate” set of transport modes. Importantly, the mobility decisions are not evaluated only for a single trip or a single day. In fact, for each decision-maker, an entire set of trips, observed over multiple days, is evaluated. We call this personal accessibility to travel. We present a two-step discrete choice model that includes both mode choice and ownership decisions. The model is estimated based on household travel survey data from Germany. This paper also investigates the simulation of travel times for non-chosen modes that are required as an input. The estimation results show significant effects of the personal accessibility and travel frequency on mobility-resource ownership decisions. To further validate the estimation, the forecasting and sensitivity analysis of the model for different scenarios is evaluated. The proposed model offers an efficient solution to situations when the impact of transport sustainability measures on mobility behaviour needs to be plausibly predicted.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su10040912</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Bicycles ; Computer simulation ; Decisions ; Economic models ; Mobility ; Modal choice ; Sensitivity analysis ; Sustainability ; Travel ; Travel time ; Trip estimation</subject><ispartof>Sustainability, 2018-03, Vol.10 (4), p.912</ispartof><rights>Copyright MDPI AG 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3</citedby><cites>FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3</cites><orcidid>0000-0002-0317-1986</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,37012</link.rule.ids></links><search><creatorcontrib>Plevka, Vaclav</creatorcontrib><creatorcontrib>Astegiano, Paola</creatorcontrib><creatorcontrib>Himpe, Willem</creatorcontrib><creatorcontrib>Tampère, Chris</creatorcontrib><creatorcontrib>Vandebroek, Martina</creatorcontrib><title>How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources</title><title>Sustainability</title><description>This paper presents a mobility-resource ownership model. The model captures inter-related personal mobility decisions: which transport mode (out of those available to a decision-maker) to use for a particular trip and which mobility resources (e.g., car, bicycle, transit season ticket or a combination) should the decision-maker own to enable the most “appropriate” set of transport modes. Importantly, the mobility decisions are not evaluated only for a single trip or a single day. In fact, for each decision-maker, an entire set of trips, observed over multiple days, is evaluated. We call this personal accessibility to travel. We present a two-step discrete choice model that includes both mode choice and ownership decisions. The model is estimated based on household travel survey data from Germany. This paper also investigates the simulation of travel times for non-chosen modes that are required as an input. The estimation results show significant effects of the personal accessibility and travel frequency on mobility-resource ownership decisions. To further validate the estimation, the forecasting and sensitivity analysis of the model for different scenarios is evaluated. The proposed model offers an efficient solution to situations when the impact of transport sustainability measures on mobility behaviour needs to be plausibly predicted.</description><subject>Bicycles</subject><subject>Computer simulation</subject><subject>Decisions</subject><subject>Economic models</subject><subject>Mobility</subject><subject>Modal choice</subject><subject>Sensitivity analysis</subject><subject>Sustainability</subject><subject>Travel</subject><subject>Travel time</subject><subject>Trip estimation</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpNUMtKA0EQHETBEHPxCwa8Cas9j30dQzRGiEQknpfZ2R7cEHfi9Mawf-9IAtqX6kNVUVWMXQu4U6qEe9oLAA2lkGdsJCEXiYAUzv_9l2xCtIF4SolSZCNmF_7AXzGQ78yWT61ForZut20_cNM1fB7wa4-dHbh3fB3MN0aWc2h7vjp0UffR7vgD2pZa3xH3HX_xJ_kbkt-HaHjFLpzZEk5OOGbv88f1bJEsV0_Ps-kysbJM-0RB1tjCapm7wulUFxadNVI0rtCZNFkJElOHqMEYURRlpqyxdS5MLmpTZ40as5uj7y74GJr6ahMDxF5USdCxv9BCRdbtkWWDJwroql1oP00YKgHV747V347qB2F6Zfs</recordid><startdate>20180321</startdate><enddate>20180321</enddate><creator>Plevka, Vaclav</creator><creator>Astegiano, Paola</creator><creator>Himpe, Willem</creator><creator>Tampère, Chris</creator><creator>Vandebroek, Martina</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><orcidid>https://orcid.org/0000-0002-0317-1986</orcidid></search><sort><creationdate>20180321</creationdate><title>How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources</title><author>Plevka, Vaclav ; Astegiano, Paola ; Himpe, Willem ; Tampère, Chris ; Vandebroek, Martina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bicycles</topic><topic>Computer simulation</topic><topic>Decisions</topic><topic>Economic models</topic><topic>Mobility</topic><topic>Modal choice</topic><topic>Sensitivity analysis</topic><topic>Sustainability</topic><topic>Travel</topic><topic>Travel time</topic><topic>Trip estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Plevka, Vaclav</creatorcontrib><creatorcontrib>Astegiano, Paola</creatorcontrib><creatorcontrib>Himpe, Willem</creatorcontrib><creatorcontrib>Tampère, Chris</creatorcontrib><creatorcontrib>Vandebroek, Martina</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Plevka, Vaclav</au><au>Astegiano, Paola</au><au>Himpe, Willem</au><au>Tampère, Chris</au><au>Vandebroek, Martina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources</atitle><jtitle>Sustainability</jtitle><date>2018-03-21</date><risdate>2018</risdate><volume>10</volume><issue>4</issue><spage>912</spage><pages>912-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>This paper presents a mobility-resource ownership model. The model captures inter-related personal mobility decisions: which transport mode (out of those available to a decision-maker) to use for a particular trip and which mobility resources (e.g., car, bicycle, transit season ticket or a combination) should the decision-maker own to enable the most “appropriate” set of transport modes. Importantly, the mobility decisions are not evaluated only for a single trip or a single day. In fact, for each decision-maker, an entire set of trips, observed over multiple days, is evaluated. We call this personal accessibility to travel. We present a two-step discrete choice model that includes both mode choice and ownership decisions. The model is estimated based on household travel survey data from Germany. This paper also investigates the simulation of travel times for non-chosen modes that are required as an input. The estimation results show significant effects of the personal accessibility and travel frequency on mobility-resource ownership decisions. To further validate the estimation, the forecasting and sensitivity analysis of the model for different scenarios is evaluated. The proposed model offers an efficient solution to situations when the impact of transport sustainability measures on mobility behaviour needs to be plausibly predicted.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su10040912</doi><orcidid>https://orcid.org/0000-0002-0317-1986</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2018-03, Vol.10 (4), p.912
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2041051413
source Publicly Available Content Database
subjects Bicycles
Computer simulation
Decisions
Economic models
Mobility
Modal choice
Sensitivity analysis
Sustainability
Travel
Travel time
Trip estimation
title How Personal Accessibility and Frequency of Travel Affect Ownership Decisions on Mobility Resources
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T02%3A15%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=How%20Personal%20Accessibility%20and%20Frequency%20of%20Travel%20Affect%20Ownership%20Decisions%20on%20Mobility%20Resources&rft.jtitle=Sustainability&rft.au=Plevka,%20Vaclav&rft.date=2018-03-21&rft.volume=10&rft.issue=4&rft.spage=912&rft.pages=912-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su10040912&rft_dat=%3Cproquest_cross%3E2041051413%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c295t-306dc8c427f8f4548cefca21df8462a6902e5fee40aa188963cacb71a71bab6d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2041051413&rft_id=info:pmid/&rfr_iscdi=true