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Publications (10 of 100) Show all publications
Han, M., Håkansson, J., Svensson, T. & Zhao, M. X. (2025). Planning for energy-efficient transport in a small town: Influence from different urban configurations of destination points and housing establishments. International Journal of Sustainable Transportation, 19(2), 121-132
Open this publication in new window or tab >>Planning for energy-efficient transport in a small town: Influence from different urban configurations of destination points and housing establishments
2025 (English)In: International Journal of Sustainable Transportation, ISSN 1556-8318, E-ISSN 1556-8334, Vol. 19, no 2, p. 121-132Article in journal (Refereed) Published
Abstract [en]

Urban and transport planning can strongly affect energy usage induced by travel in cities. However, most studies investigate large cities with crude measurements of induced travel without consideration of the urban configuration of residences and their trip destinations, and little attention has been paid to smaller cities. We investigate energy usage (CO2-emissions) from car travel in a small Swedish city using a novel approach based on detailed GPS-tracking data of actual car mobility to calculate CO2-emissions on street segments and to identify major destinations. We also construct configuration scenarios, applied to the case city. These scenarios' induced CO2 emission from transports is evaluated in relation to the current configuration of the city. We find that changes in the urban configuration can impact on energy usage from intra-urban car travel by some 40% compared to the current situation and that the configurations display large relative differences in transport-efficiency, polycentric and public transport-based configurations being more efficient than monocentric development. We conclude that housing allocation is less important for car transport efficiency than re-location of existing destination points. Urban planning needs to be critical to over-simplified densification strategies and analyze the urban configuration to find optimal solutions.

Keywords
land-use models, micro data, optimization, Sweden, urban form
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-50044 (URN)10.1080/15568318.2024.2448004 (DOI)001394770100001 ()2-s2.0-86000380047 (Scopus ID)
Available from: 2025-01-27 Created: 2025-01-27 Last updated: 2025-05-20Bibliographically approved
Sadeghian, P., Golshan, A., Zhao, X. & Håkansson, J. (2024). A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data. Transportation
Open this publication in new window or tab >>A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data
2024 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435Article in journal (Refereed) Epub ahead of print
Abstract [en]

Transportation research has benefited from GPS tracking devices since a higher volume of data can be acquired. Trip information such as travel speed, time, and most visited locations can be easily extracted from raw GPS tracking data. However, transportation modes cannot be extracted directly and require more complex analytical processes. Common approaches for detecting travel modes heavily depend on manual labelling of trajectories with accurate trip information, which is inefficient in many aspects. This paper proposes a method of semi-supervised machine learning by using minimal labelled data. The method can accept GPS trajectory with adjustable length and extract latent information with long short-term memory (LSTM) Autoencoder. The method adopts a deep neural network architecture with three hidden layers to map the latent information to detect transportation mode. The proposed method is assessed by applying it to the case study where an accuracy of 93.94% can be achieved, which significantly outperforms similar studies.

Place, publisher, year, edition, pages
Springer, 2024
Keywords
Travel identification, LSTM Autoencoder, Unsupervised learning, Deep learning, GPS tracking data
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-48203 (URN)10.1007/s11116-024-10472-x (DOI)001164352600001 ()
Available from: 2024-03-08 Created: 2024-03-08 Last updated: 2024-03-28Bibliographically approved
Sadeghian, P., Han, M., Håkansson, J. & Zhao, X. (2024). Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data. Transportmetrica B: Transport Dynamics, 12(1), Article ID 2336037.
Open this publication in new window or tab >>Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data
2024 (English)In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 12, no 1, article id 2336037Article in journal (Refereed) Published
Abstract [en]

Human mobility behaviour is far from random and can be predictable. Predicting human mobility behaviour has the potential to improve location selection for facilities, transportation services, urban planning, and can be beneficial in providing more efficient sustainable urban development strategies. However, it is difficult to model urban mobility patterns since incentives for mobility is complex, and influenced by several factors, such as dynamic population, weather conditions. Thus, this paper proposes a prediction-oriented algorithm under the framework of a Hidden Markov Model to predict next-location and time-of-arrival of human mobility. A comprehensive evaluation of these two schemes for the representation of latent and observable variables is discussed. In conclusion, the paper provides a valuable contribution to the field of mobility behaviour prediction by proposing a novel algorithm. The evaluation shows that the proposed algorithm is stable and consistent in predicting the next location of users based on their past trajectories. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Place, publisher, year, edition, pages
Taylor & Francis, 2024
Keywords
GPS movement data, Human behaviour, Markov chain, spatial–temporal prediction, sustainable urban development
National Category
Transport Systems and Logistics Computer Sciences
Identifiers
urn:nbn:se:du-48388 (URN)10.1080/21680566.2024.2336037 (DOI)001196930700001 ()2-s2.0-85189611465 (Scopus ID)
Available from: 2024-04-19 Created: 2024-04-19 Last updated: 2024-06-14Bibliographically approved
Sadeghian, P., Zhao, X., Golshan, A. & Håkansson, J. (2022). A stepwise methodology for transport mode detection in GPS tracking data. Travel Behaviour & Society, 26, 159-167
Open this publication in new window or tab >>A stepwise methodology for transport mode detection in GPS tracking data
2022 (English)In: Travel Behaviour & Society, ISSN 2214-367X, E-ISSN 2214-3688, Vol. 26, p. 159-167Article in journal (Refereed) Published
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-36348 (URN)10.1016/j.tbs.2021.10.004 (DOI)000718159400006 ()2-s2.0-85117267641 (Scopus ID)
Available from: 2021-03-18 Created: 2021-03-18 Last updated: 2024-03-28Bibliographically approved
Paidi, V., Håkansson, J., Fleyeh, H. & Nyberg, R. G. (2022). CO2 Emissions Induced by Vehicles Cruising for Empty Parking Spaces in an Open Parking Lot. Sustainability, 14(7), Article ID 3742.
Open this publication in new window or tab >>CO2 Emissions Induced by Vehicles Cruising for Empty Parking Spaces in an Open Parking Lot
2022 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 14, no 7, article id 3742Article in journal (Refereed) Published
Abstract [en]

Parking lots are places of high air pollution as numerous vehicles cruise to find vacant parking places. Open parking lots receive high vehicle traffic, and when limited empty spaces are available it leads to problems, such as congestion, pollution, and driver frustration. Due to lack of return on investment, open parking lots are little studied, and there is a research gap in understanding the magnitude of CO2 emissions and cruising observed at open parking lots. Thus, this paper aims to estimate CO2 emissions and cruising distances observed at an open parking lot. A thermal camera was utilized to collect videos during peak and non-peak hours. The resulting videos were utilized to collect cruising trajectories of drivers searching for empty parking spaces. These trajectories were analyzed to identify optimal and non-optimal cruising, time to park, and walking distances of drivers. A new CO2 model was proposed to estimate emissions in smaller geographical regions, such as open parking lots. The majority of drivers tend to choose parking spaces near a shopping center, and they prefer to cruise non-optimal distances to find an empty parking space near the shopping center. The observed mean non-optimal cruising distance is 2.7 times higher than the mean optimal cruising distance. Excess CO2 emissions and non-optimal cruising were mainly observed during visitor peak hours when there were limited or no empty parking spaces. During visitor peak hours, several vehicles could not find an empty parking space in the region of interest, which also leads to excess cruising.

Keywords
cruising, pollution, parking
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-40866 (URN)10.3390/su14073742 (DOI)000782091300001 ()2-s2.0-85127594018 (Scopus ID)
Available from: 2022-03-22 Created: 2022-03-22 Last updated: 2023-04-14
Lagin, M., Håkansson, J., Nordström, C., Nyberg, R. G. & Öberg, C. (2022). Last-mile logistics of perishable products: a review of effectiveness and efficiency measures used in empirical research. International Journal of Retail & Distribution Management, 50(13), 116-139
Open this publication in new window or tab >>Last-mile logistics of perishable products: a review of effectiveness and efficiency measures used in empirical research
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2022 (English)In: International Journal of Retail & Distribution Management, ISSN 0959-0552, E-ISSN 1758-6690, Vol. 50, no 13, p. 116-139Article in journal (Refereed) Published
Abstract [en]

Purpose

Current online business development redistributes last-mile logistics (LML) from consumer to retailer and producer. This paper identifies how empirical LML research has used and defined logistic performance measures for key grocery industry actors. Using a multi-actor perspective on logistic performance, the authors discuss coordination issues important for optimising LML at system level.

Design/methodology/approach

A semi-systematic literature review of 85 publications was conducted to analyse performance measurements used for effectiveness and efficiency, and for which actors.

Findings

Few empirical LML studies exist examining coordination between key actors or on system level. Most studies focus on logistic performance measurements for retailers and/or consumers, not producers. Key goals and resource utilisations lack research, including all key actors and system-level coordination.

Research limitations/implications

Current LML performance research implies a risk for sub-optimisation. Through expanding on efficiency and effectiveness interplay at system level and introducing new research perspectives, the review highlights the need to revaluate single-actor, single-measurement studies.

Practical implications

No established scientific guidelines exist for solving LML optimisation in the grocery industry. For managers, it is important to thoroughly consider efficiency and effectiveness in LML execution, coordination and collaboration among key actors, avoiding sub-optimisations for business and sustainability.

Originality/value

The study contributes to current knowledge by reviewing empirical research on LML performance in the grocery sector, showing how previous research disregards the importance of multiple actors and coordination of actors, efficiency and effectiveness.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2022
Keywords
Semi-systematic literature review, Supply chain, Last-mile logistics
National Category
Economics and Business
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis; Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-42181 (URN)10.1108/ijrdm-02-2021-0080 (DOI)000841933700001 ()2-s2.0-85136509976 (Scopus ID)
Funder
The Kamprad Family Foundation, 20180076
Available from: 2022-08-18 Created: 2022-08-18 Last updated: 2023-03-17Bibliographically approved
Lagin, M., Håkansson, J., Olsmats, C., Espegren, Y. & Nordström, C. (2022). The value creation failure of grocery retailers’ last-mile value proposition: A sustainable business model perspective. Cleaner and Responsible Consumption, 7, Article ID 100088.
Open this publication in new window or tab >>The value creation failure of grocery retailers’ last-mile value proposition: A sustainable business model perspective
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2022 (English)In: Cleaner and Responsible Consumption, E-ISSN 2666-7843, Vol. 7, article id 100088Article in journal (Refereed) Published
National Category
Economics and Business
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis; Research Profiles 2009-2020, Complex Systems – Microdata Analysis; Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-43222 (URN)10.1016/j.clrc.2022.100088 (DOI)001024670900015 ()2-s2.0-85142179148 (Scopus ID)
Projects
EASYLIFE: Integrering och demonstration av affärsmodell och teknisk plattform för transporteffektiv sammanlänkning av lokalproducenter och dess kunder
Funder
The Kamprad Family Foundation, 20180076
Available from: 2022-11-17 Created: 2022-11-17 Last updated: 2025-01-09Bibliographically approved
Carling, K. & Håkansson, J. (2021). Privacy and data: Some research venues. In: A Research Agenda for Knowledge Management and Analytics: (pp. 191-203). Edward Elgar Publishing
Open this publication in new window or tab >>Privacy and data: Some research venues
2021 (English)In: A Research Agenda for Knowledge Management and Analytics, Edward Elgar Publishing, 2021, p. 191-203Chapter in book (Refereed)
Abstract [en]

The issue of data privacy is often reduced to secure data transactions by cryptographic techniques. However, in a liberal democracy the issue of privacy connects to fundamental questions about the co-existence and collaboration between its citizens. One is the conflict between self-interest and the interest of the commons, whereby research on privacy topics is found in distant and disparate research streams. Sharing of data perceived as private may drastically increase collective welfare, while reducing it for single citizens. In this chapter, we present a metaphor to highlight the fundamentals of privacy and explain how the access to new data-processing technologies provokes new questions to be addressed. Furthermore, we illustrate how various research streams differ in presumptions and privacy topics of interest, and we stress the potential knowledge-producing value of bridging these streams. We end by pointing out some particularly interesting research venues for privacy and data. © Jay Liebowitz 2021.

Place, publisher, year, edition, pages
Edward Elgar Publishing, 2021
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:du-41616 (URN)10.4337/9781800370623.00018 (DOI)2-s2.0-85129669070 (Scopus ID)9781800370623 (ISBN)9781800370616 (ISBN)
Available from: 2022-06-15 Created: 2022-06-15 Last updated: 2023-11-24Bibliographically approved
Sadeghian, P., Håkansson, J. & Zhao, X. (2021). Review and evaluation of methods in transport mode detection based on GPS tracking data. Journal of Traffic and Transportation Engineering (English Edition), 8(4), 467-482
Open this publication in new window or tab >>Review and evaluation of methods in transport mode detection based on GPS tracking data
2021 (English)In: Journal of Traffic and Transportation Engineering (English Edition), ISSN 2095-7564, Vol. 8, no 4, p. 467-482Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Chang'an University, 2021
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-37854 (URN)10.1016/j.jtte.2021.04.004 (DOI)000686480100001 ()2-s2.0-85110302232 (Scopus ID)
Available from: 2021-08-05 Created: 2021-08-05 Last updated: 2024-03-28Bibliographically approved
Sadeghian, P., Håkansson, J. & Zhao, X. (2021). Review in transport mode detection based on GPS data. Journal of Traffic and Transportation Engineering (English Edition)
Open this publication in new window or tab >>Review in transport mode detection based on GPS data
2021 (English)In: Journal of Traffic and Transportation Engineering (English Edition), ISSN 2095-7564Article in journal (Refereed) Submitted
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-36347 (URN)
Available from: 2021-03-18 Created: 2021-03-18 Last updated: 2023-04-14Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4871-833X

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