Journal of Transport and Land Use

Final reminder that submissions close June 15 for The Journal of Transport and Land Use special issue: "AI and the Evolving Dynamics of Transportation and Land Use." The Journal welcomes original research that critically examines the role of artificial intelligence (AI) in shaping transportation, land use, and their interactions. For more details, visit https://lnkd.in/gc8E87xT

Reminder: Submissions close in one month—June 15—for the The Journal of Transport and Land Use special issue: "AI and the Evolving Dynamics of Transportation and Land Use." The Journal welcomes original research that critically examines the role of artificial intelligence (AI) in shaping transportation, land use, and their interactions. Submissions should address one of two thematic areas: 1) Embedded intelligence in transport and land use systems, or 2) algorithmic AI for modeling and planning urban mobility and land use. Submissions should align with the scope of JTLU, emphasizing the integrated nature of transport and land-use systems. For more details, visit https://lnkd.in/gc8E87xT

New in JTLU: “The knowledge economy and transit-oriented development: Effects at long-distance rail stations in Germany” by Johannes Moser, Technical University of Munich; Fabian Wenner, RheinMain University of Applied Sciences; and Alain Thierstein, Technical University of Munich. https://lnkd.in/gRC_FBWW New research finds that long-distance rail stations in Germany with stronger Transit-Oriented Development (TOD) characteristics exhibit a more intense presence of knowledge-intensive firms. Key characteristics include high accessibility, density, and diversity of uses. This study posits the introduction of "depth of knowledge" (i.e., number of knowledge-intensive firms) as a TOD outcome dimension. Investing in well-designed station areas has the potential to foster growth of the knowledge economy and stimulate urban transformation.

New in JTLU: “Which access matters? A comparative analysis of accessibility metrics and their impacts on commuting” by Bogdan Kapatsila, University of Iowa; and Hisham Negm and Ahmed El-Geneidy, McGill University. https://lnkd.in/gW9hQB4R This paper compares the strength of association between non-competitive and competition-based opportunity measures and the share of transit users in Toronto, Montreal, and Vancouver, Canada. The authors confirmed a positive association between all job accessibility measures by transit and transit mode share. Notably, the simpler cumulative opportunities and gravity-based measures offered the highest explanatory power. These insights are vital for planners seeking effective, yet easy-to-interpret, accessibility metrics for forecasting travel behavior.

New in JTLU: “Approaches to estimating the supply of off-street parking spaces in residential areas” by Laura Merten and Tobias Kuhnimhof, RWTH Aachen University. This paper presents four approaches to estimating the supply of private residential parking and assesses their accuracy by comparing the estimates with surveyed parking data. A binary logit model based on real estate data produced accurate estimates that can be used to improve parking policies by taking the private parking supply into consideration. https://lnkd.in/gG7VW984

ICYMI: JTLU published two papers in February: - “Measuring bicycle accessibility within the metro catchment area: An empirical study in Shanghai” by Yizhe Huang, Chaobo Shi, Cunzhuo Liu, and Shuichao Zhang, all of Ningbo University of Technology and Zhejiang Engineering Research Center of Digital Road Construction Technology. https://lnkd.in/gB2_2fsj - ”Microsimulation of vehicle ownership decisions within an agent-based integrated urban model: An event-based hybrid of continuous and discrete simulation approach” by Md Shahadat Hossain and Mahmudur Rahman Fatmi, University of British Columbia Okanagan, and Mohamad Ali Khalil, University of Alberta. https://lnkd.in/g6GZt8-b

Submissions are now open! The Journal of Transport and Land Use (JTLU) is accepting papers for a special issue: "AI and the Evolving Dynamics of Transportation and Land Use." We welcome original research that critically examines the role of artificial intelligence (AI) in shaping transportation, land use, and their interactions. Submissions should address one of two thematic areas: 1) Embedded intelligence in transport and land use systems, or 2) algorithmic AI for modeling and planning urban mobility and land use. The deadline for submissions is June 15, 2026. For more details, visit https://lnkd.in/gc8E87xT

New in JTLU: “Microsimulation of vehicle ownership decisions within an agent-based integrated urban model: An event-based hybrid of continuous and discrete simulation approach” by Md Shahadat Hossain and Mahmudur Rahman Fatmi, The University of British Columbia Okanagan; and Mohamad Ali Khalil, University of Alberta. https://lnkd.in/g6GZt8-b The vehicle ownership simulation (VOSim) module presented in this paper adds capacity to the integrated urban model to simulate vehicle ownership using a behaviorally realistic simulation procedure, providing temporally and spatially disaggregated predictions. VOSim can be used to forecast the vehicle ownership evolution under alternative transportation policy scenarios, such as future market sales of alternative fuel vehicles (AFVs) under different incentive scenarios. Thus, VOSim could be an effective tool for the Canadian government to evaluate and compare policy options supporting their future AFV adoption targets.

New in JTLU: “Measuring bicycle accessibility within the metro catchment area: An empirical study in Shanghai” by Yizhe Huang, Chaobo Shi, Cunzhuo Liu, & Shuichao Zhang, all of Ningbo University of Technology and Zhejiang Engineering Research Center of Digital Road Construction Technology. https://lnkd.in/gB2_2fsj This paper proposes three new models that account for different influencing factors to measure bicycle accessibility within the metro catchment area, offering new insight into enhancing bicycle-metro integration. #Accessibility #BicycleMetroIntegration

ICYMI: JTLU published three papers in January: - “Analyzing the parcel delivery pattern in the Global South: The case of Belo Horizonte, Brazil” by Leise Kelli de Oliveira, Federal University of Rio Grande do Sul; Rui Colaço, Universidade de Lisboa; Gracielle Gonçalves Ferreira de Araújo, Federal University of Pernambuco; & João de Abreu e Silva, Universidade de Lisboa. https://lnkd.in/gE55SQuz - “Scaling pedestrian crossing analysis to 100 U.S. cities via AI-based segmentation of satellite imagery” by Marcel Moran, PhD, José State University; and Arunav Gupta, Jiali Qian, & Debra Laefer, all of New York University.  https://lnkd.in/greh4te7 -“Macroscopic on-street parking inventory modeling: Exploring an open data approach” by Matthias Langer & Rolf Moeckel, Technical University of Munich. https://lnkd.in/gynFuT5M