Journal of Transport and Land Use

New in JTLU: “Analyzing gender and age differences in travel patterns and accessibility for demand response transit in small urban areas: A case study of Tennessee” by Jing Guo, Changsha University of Science and Technology; Sabyasachee Mishra, University of Memphis; and Candace Brakewood, University of Tennessee, Knoxville. https://lnkd.in/gDtwvdGc Demand Response Transit (DRT) services play a crucial part in supporting transportation systems in small urban and more rural areas. This study analyzed real-world DRT trip data from Tennessee, identifying trip purposes based on origin and destination land uses. Statistical analysis was conducted to evaluate DRT travel patterns for passengers of different demographic groups, particularly women and the elderly. #DemandResponse #TennesseeTransit #WomenInTransit

New in JTLU: “Assessing the spatial footprint of e-commerce logistics differentiating the types of warehouses: The case of Amazon in the United States” by Matthieu Schorung, Sorbonne University; Thibault LECOURT, Avignon University; and Laetitia Dablanc, Gustave Eiffel University.  https://lnkd.in/gYdWfRBS This research focuses on the evolution of Amazon’s logistics system, and particularly the geography of Amazon’s warehouses, marked by an expansion of the spatial footprint of the warehouses and by a functional specialization of its logistics system. #Amazon #SupplyChain #Warehousing

New in JTLU: Employment concentration, dispersion, and the changing commute in the San Francisco Bay Area by Evelyn Blumenberg and Samuel Speroni, UCLA.  https://lnkd.in/gDPrTTfc This paper finds that the commute distance in the San Francisco Bay Area increased slightly between 2002 and 2015. The number of jobs was by far the strongest predictor of commute distance, and this relationship strengthened over time. The relationship between employment concentration and commute distance was moderated by employment growth in downtown San Francisco, where, all else equal, workers traveled shorter distances. In addition, aggregate commute travel increased significantly from 2002 to 2015, explained largely by job growth and only secondarily by increased commute distance. #CommuteTrends #UrbanMobility #SanFrancisco

New in JTLU: “The distribution of shared parking use in time and space: A case study in Guangzhou, China” by Juan Wang and Pengyu Zhu, Hong Kong University of Science and Technology. https://lnkd.in/g6iKkWUe Using 434,564 records from 121 shared parking lots in Guangzhou (from Nov 2020 to Oct 2021), this study reveals that the number of transactions is significantly affected by factors such as  implemented duration, parking lot capacity, surrounding land use, nearby POIs, and transit stations. The average parking duration is influenced by land use, nearby office buildings, and parking lot peak time.

ICYMI: JTLU published four papers in July: • Effect of multiscale metro network-wide attributes on peak-hour station passenger and flow balancing. https://lnkd.in/e3byqhDc • A framework to include socio-demographic characteristics in potential job accessibility levels in low-car and car-free development areas in the Netherlands. https://lnkd.in/gYhJb68Y • Exploring factors affecting route choice of cyclists: A novel varying-contiguity spatially lagged exogenous modeling approach. https://lnkd.in/g7AAWCXj • Modeling home property listings’ time-on-market duration and listing outcome using copula-based competing risk method. https://lnkd.in/gzh6dmt5

New in JTLU: “Exploring factors affecting route choice of cyclists: A novel varying-contiguity spatially lagged exogenous modeling approach” by Nick van Nijen and M. Baran Ulak, University of Twente; Sander Veenstra, Witteveen Bos; and Karst Geurs, University of Twente. https://lnkd.in/g7AAWCXj A critical element in guiding improvements and expansions to the bicycling network is to understand the route choice of cyclists, which helps identify bottlenecks in bicycle flows and substantiate the need for new bicycle infrastructure. This study developed a model to analyze the likelihood of a cyclist choosing a certain route based not only on the characteristics of that segment but also considering characteristics along a route—such as bicycle facilities, traffic control, bicycle and motorized-vehicle volumes, and different land-use zones. #BicycleNetwork #UrbanPlanning #Bicycling The paper appears in the special issue: Modeling Choice Behavior of Cyclists & Pedestrians in Urban Areas.

New in JTLU: “Modeling home property listings’ time-on-market duration and listing outcome using copula-based competing risk method“ by Yicong (Nora) Liu, Saeed Shakib, Eric J. Miller, and Khandker Nurul Habib, all of the University of Toronto. https://lnkd.in/gzh6dmt5 This paper presents a joint model of home property listings’ time-on-market (TOM) duration and listing outcomes and discovers statistically significant and positive correlations between the TOM of terminated listings and the type of termination—whether a listing is withdrawn, converted to a lease, or re-listed for sale. This suggests that the unobserved factors that make a seller more likely to end a listing also tend to shorten its time on the market before termination.  #LUTI #housingmarket 

New in JTLU: “A framework to include socio-demographic characteristics in potential job accessibility levels in low-car and car-free development areas in the Netherlands” by Rutger Meester, MottMacDonald; and M. Baran Ulak and Karst Geurs, University of Twente. https://lnkd.in/gYhJb68Y This paper proposes an analytical framework to determine potential job accessibility in car-free development areas for population groups with different socio-demographic characteristics.  #TransportationPlanning #JobAccessibility #carfree

New in JTLU: “Effect of multiscale metro network-wide attributes on peak-hour station passenger and flow balancing” by haixiao pan, Miao Hu, Xiyin Deng, and Ailing Liu of Tongji University. https://lnkd.in/e3byqhDc This paper considers the multiscale subnetwork (MSSN) as a new concept for passenger analysis in a large-scale metro network system. The research suggests that regional attributes of jobs-housing balance and transportation conditions in the MSSN range significantly influence both station passengers and flow imbalance. The research also provides theoretical insights for urban planners and policymakers to create effective strategies for urban rail transit networks. #TransportationPlanning, #Transit, #Shanghai

ICYMI—JTLU published six papers recently:  •“On the path to develop a micromobility journey planner for Madrid: A tool to estimate, visualize, and analyze cycling and other shared mobility services’ flow” https://lnkd.in/gPQnYPrQ • “Sydney's residential relocation landscape: Machine learning and feature selection methods unpack the whys and whens” https://lnkd.in/eAh5QKrU • “Exploring the prospects and challenges of sustainable urban mobility: Potential and limits of cycling in Venice https://lnkd.in/grDx-EEb • “Effects of the built environment on travel distance in bus-oriented, medium-sized cities in China”  https://lnkd.in/et8yATKF • “Integrated impact of urban mixed land use on TOD ridership: A multi-radius comparative analysis” https://lnkd.in/gSBBuQhc • “Does yesterday’s accessibility shape today’s TOD-nesses in metro station areas? A tale of Shenzhen, China”  https://lnkd.in/g66rnyZW