{"title":"Inferring spatial–temporal attributes of vehicle itinerary with Automatic Vehicle Identification data: Methodology and application","authors":"","doi":"10.1016/j.tra.2024.104264","DOIUrl":"10.1016/j.tra.2024.104264","url":null,"abstract":"<div><div>Daily itinerary, consisting of an individual’s trips and activities on a day, is usually fundamental input for many travel demand models. However, current research lacks effective methods to extract daily itineraries of large-scale samples for a long period. To this end, this study presents a methodology to Infer Daily Itineraries (IDI) of vehicles with Automatic Vehicle Identification (AVI) data. A problem-specific Probabilistic Graphical Model is constructed to define how possible one itinerary is true given its observed AVI data. To seek the most possible itinerary among vast feasible states, a candidate movement state generation algorithm and optimal itinerary searching algorithm are developed. Empirical studies have been conducted based on field-test data. Compared with two benchmarks, the proposed IDI improved the inference accuracy significantly even for activities with missing observations. Sensitivity analyses on the size of traffic area zone and data collection have also been performed, which can provide guidance for administrations and researchers on the partition of the study region and placement of the sensors. As the AVI system captures almost entire samples, vehicle movements inferred by IDI can provide a better representation of traffic patterns. This enables a series of applications related to transportation policy and practice. Traffic congestion tracking and parking demand estimation are introduced as two application examples.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Greening the commute: A case study of demand for employer-sponsored microtransit","authors":"","doi":"10.1016/j.tra.2024.104258","DOIUrl":"10.1016/j.tra.2024.104258","url":null,"abstract":"<div><div>Demand-responsive, pooled, app-based transportation services, often known as microtransit, fill a gap in providing public transportation where fixed-route transit services are weak. While prior research mostly focused on public-access microtransit services, little is known about the potential of restricted-access, employer-sponsored services to achieve mode shifts away from driving. This study investigates the possible use of employer-sponsored microtransit service by commuters who currently drive to work, using data from a stated choice experiment conducted at a major medical center in Columbus, Ohio. The results reveal a considerable interest in a hypothetical microtransit commuter service among medical center employees, with on average 29.6% of them shifting from car to microtransit. Overall, relatively few sociodemographic characteristics are found to correlate with interest in employer-sponsored microtransit use, but income, status as a shift worker, and a desire to work while commuting are found to affect choice. Valuations of in-vehicle travel time, flexibility in drop-off/pick-up time, and stop location are calculated and compared to prior results from the transit literature. Such valuations can serve as inputs for optimization models to design microtransit systems. Furthermore, respondents’ potential concerns about a microtransit service and reactions to proposed incentive schemes are analyzed. The study results highlight the value of combining employer-sponsored microtransit implementations with transportation demand management strategies that reduce the attractiveness of commuting by car. The findings suggest that employer-sponsored microtransit represents an opportunity to reduce greenhouse gas emissions and congestion in an industry sector that employs 6.6 million workers in the US.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fleet sizing and static rebalancing strategies for shared E-scooters: A case study in Indianapolis, USA","authors":"","doi":"10.1016/j.tra.2024.104287","DOIUrl":"10.1016/j.tra.2024.104287","url":null,"abstract":"<div><div>With the rapid development of shared e-scooters, it is essential to understand their usage patterns for formulating informed e-scooter fleet management policies. This study first analyzes the usage pattern of shared e-scooters in Indianapolis, USA, by mining big e-scooter trip data. The analysis reveals an oversupply of shared e-scooters relative to actual user demand. Thus, a minimum fleet sizing algorithm is proposed to determine the required minimum e-scooter fleet size with the objective of reducing total operation cost, while ensuring demand coverage. Furthermore, three heuristic algorithms are proposed to address the static e-scooter rebalancing problem, focusing on minimizing rebalancing distance cost and rebalancing time. These algorithms consider practical operational constraints, including the number of rebalancing vehicles, their capacity, and the frequency of visits to e-scooter stations by rebalancing vehicles. The proposed algorithms are applied to e-scooter rebalancing scenarios with comparisons between the minimum and actual fleet sizes. The case study results in Indianapolis, USA demonstrate that the rebalancing distance cost with the minimum fleet size is significantly lower than that with the actual fleet size. What’s more, the rebalancing time can be reduced by about 12.34% to 27.80% when using the minimum fleet size. The findings of this study offer valuable policy implications and managerial insights for shared e-scooter operators and policymakers in developing effective e-scooter management strategies.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pursuing the impossible (?) dream: Incorporating attitudes into practice-ready travel demand forecasting models","authors":"","doi":"10.1016/j.tra.2024.104254","DOIUrl":"10.1016/j.tra.2024.104254","url":null,"abstract":"<div><div>Despite the fact that our existing models are not up to the job of predicting travel behavior in today’s rapidly changing landscape, and despite considerable evidence that attitudes help us explain behavior more completely and more meaningfully, attitudes are nowhere to be found in practice-oriented travel demand forecasting models. Two main objections have been raised to their inclusion: they are too cumbersome to measure, and difficult-if-not-impossible to forecast. This paper reports on the considerable progress that has been made toward overcoming the first objection, through the use of machine learning methods to train a prediction function on smaller-scale research-oriented survey datasets, and then applying that function to impute attitudes into large-scale household travel survey datasets. <em>Internal evaluations</em> show that we can estimate attitudinal factor scores with moderate fidelity when using socioeconomic/demographic, land use, and targeted marketing variables, and with high fidelity when using just a few attitudinal marker variables. <em>External evaluations</em> demonstrate that the imputed attitudes lead to improved behavioral insight and predictive ability for forecasting-oriented models. With respect to the second objection I have only sketched some ideas for moving forward, but there are clearly some practical steps that could be taken at very little marginal cost, such as including as few as 10 attitudinal marker statements in future household travel surveys.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing freight delivery routes: The time-distance dilemma","authors":"","doi":"10.1016/j.tra.2024.104283","DOIUrl":"10.1016/j.tra.2024.104283","url":null,"abstract":"<div><div>Traditional approaches to optimizing freight delivery routes are based on minimizing a distance-based cost function. New approaches also use time as an objective function to minimize. However, the trade-off between time and distance is sometimes unclear. This paper presents a new approach to route optimization in which both time and distance are considered conjointly. For this purpose, the vehicle operating cost and the value of time have been used to translate time and distance into monetary units. By studying three different networks in Spain with varying levels of detail (the region of Catalonia, the city of Barcelona, and the Pamplona city center), the results show that minimizing both time and distance yield better results than the traditional approach, especially at a local level, where congestion effects are more relevant. These findings are helpful for logistics companies to optimize their operations, as well as for public authorities who could employ these models to make decisions and create policies on logistics.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Examining the causal impacts of the built environment on cycling activities using time-series street view imagery","authors":"","doi":"10.1016/j.tra.2024.104286","DOIUrl":"10.1016/j.tra.2024.104286","url":null,"abstract":"<div><div>Cycling is vital for sustainable and healthy cities. To encourage such activities, understanding urban bikeability at both detailed and broad spatial scales is crucial. Street view imagery (SVI) offers in-depth insights into how street features influence micro-mobility patterns, but existing studies are mainly correlational. This research utilized historical time-series SVI, cyclist data from London, to discern the causal effects of specific urban features on cyclist numbers. We used propensity score matching to adjust for potential confounding biases and applied the causal forest to estimate the heterogeneity in causal effects. Key findings include: vegetation significantly boosts cycling, slope negatively impacts cycling, and bike lanes positively influence cycling. Moreover, vegetation’s impact on cycling is greater in less populated areas, while bike lanes have a stronger effect in densely populated regions. These findings help prioritize the areas of intervention. By transcending from mere correlations to identifying heterogeneous causal impacts, this study offers invaluable insights for urban planning, underscoring design strategies to enhance cities’ bikeability and sustainability.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Demand for green and fossil fuel automobiles","authors":"","doi":"10.1016/j.tra.2024.104284","DOIUrl":"10.1016/j.tra.2024.104284","url":null,"abstract":"<div><div>Net-zero policy targets will require a transition from conventional vehicles (CVs) to greener alternative fuel vehicles (AFVs). This paper examines what influences the demand for AFVs and CVs in the UK’s large automobile market, looking at vehicle attributes, prices, and other factors, such as brands, country of origin, car segments, and vehicle equipment. Using an extensive, unique dataset covering the period 2008–2019, we compute own-price, cross-price, and demand elasticities for CVs and AFVs. Applying a random-coefficient discrete-choice model of demand, and controlling for consumer heterogeneity, unobserved product characteristics, and price endogeneity, we find that the key drivers of demand are prices, fuel consumption, and vehicle size, with similar demand sensitivity between CVs and AFVs. Demand falls by 3%–5% for a ₤1,000 increase in price for both CVs and AFVs, conditional on the quality and availability of substitutes. This indicates that UK consumers are not willing to pay a price premium for AFVs, suggesting little value placed on the “greenness” of AFVs. We estimate that a ₤1,000 subsidy to AFV purchases would lead to 4% of consumers switching to the greener vehicles. While CVs and AFVs exhibit similar price elasticities, vehicle size affects AFV demand by about 40% more, as their purchasers value smaller sized vehicles. Our results indicate that without financial incentives, the uptake of AFVs may remain low, as the higher cost and lower convenience outweighs the environmental considerations for the majority of consumers.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping the interplay of work-arrangement, residential location, and activity engagement within an integrated model","authors":"","doi":"10.1016/j.tra.2024.104294","DOIUrl":"10.1016/j.tra.2024.104294","url":null,"abstract":"<div><div>Virtual activities, such as teleworking have been identified as major travel demand management strategies to tackle traffic congestion and emission. However, integrated models, which are capable of testing such strategies, have not yet been properly extended to capture emerging activity patterns. This study fills-up the literature gap by implementing individuals’ work-arrangement and introducing in-home (IH) virtual activities within an integrated Transport, Land-use, and Emission (iTLE) modeling framework. First, it conducts a household travel survey, which collected socio-economic, activity-travel, and work-related information through a questionnaire survey in the Halifax Regional Municipality (HRM), Nova Scotia, Canada. Next, it develops a work-arrangement choice model based on the mixed-logit modelling (MXL) approach and implements it within iTLE. After that, individuals’ daily activity programs are generated in a sequential manner utilizing a Markov Chain Monte Carlo (MCMC) modelling approach considering their work-arrangement, employment, and vehicle ownership. To demonstrate the application of the developed tool, individuals’ socio-demographics, residential-location, work-location, and activity-participation are longitudinally simulated up to 2031. The analysis of teleworking parameters revealed distinct clusters and individual preferences, emphasizing the significance of personalized approaches in formulating teleworking strategies. Most non-teleworkers stay closer to downtown than full-teleworkers while clustered behavior is observed among hybrid workers for residential location choice. Increase is observed for shopping, dining-out, and IH maintenance/discretionary activities while decrease is observed for out-of-home work. The outcomes of this paper will be helpful for policymakers and transport researchers to understand the evolution of work-arrangement and examine subsequent impacts on transportation and land-use systems.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Views of emerging sustainability leaders on the future of Transport: A Q study in a Taiwan tertiary education program","authors":"","doi":"10.1016/j.tra.2024.104290","DOIUrl":"10.1016/j.tra.2024.104290","url":null,"abstract":"<div><div>As we approach critical milestones such as the year 2050, by which time the global community aims to achieve zero carbon emissions, the decisions we make today concerning transportation infrastructure become increasingly influential. This research seeks to broaden the dialogue beyond the traditional domain of current policymakers and transport planners by incorporating the perspectives of the generation that will inherit and live with the long-term impacts of today’s decisions. This study investigates the perspectives of learners in a unique sustainability-focused undergraduate program in Taiwan regarding transportation’s future in a world impacted by anthropogenic climate change. Considering their potential as future sustainability professionals and leaders, understanding their views can offer insights for both educational and transportation policy. Using Q methodology, this research captures a range of viewpoints. The five distinct perspectives include the advocates of collective responsibility and tech-optimists, who hold positive views towards collective action and technological advancements respectively. The pragmatic solitaries and private transport advocates, who prioritize personal comfort and express skepticism about environmental targets. The public transport advocates, meanwhile, favor shared forms of transport and see a crucial role for the government in carbon reduction efforts. The study’s significance lies in its emphasis on a previously underexplored demographic within the unique context of Taiwan, revealing their perspectives on a transportation future shaped by climate change by using Q methodology, and its implications for policy derived from the findings.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantitative analysis of the relationships between dockless bike sharing and public transport: A trip-level perspective","authors":"","doi":"10.1016/j.tra.2024.104277","DOIUrl":"10.1016/j.tra.2024.104277","url":null,"abstract":"<div><div>The widespread expansion of dockless bike sharing (DBS) services has had non-negligible effects on public transport systems by establishing intricate connections with public transport modes, such as metro and bus. An accurate understanding of the intricate relationships between DBS and public transport is crucial for promoting synergistic operations and maximizing the benefits. This study presents a novel quantitative analysis methodology from a trip-level perspective based on multi-source data to explore the relationships between dockless bike sharing and public transport without reliance on geospatial thresholds. By utilizing a comprehensive dataset encompassing bike sharing service operations, public transit facilities, and optimal route choices, we introduce the concepts of degree of site proximity (DSP) and degree of trip substitution (DTS), which are designed to assess the opportunities for cooperation and competition in DBS trips. Clustering techniques categorize recorded trips into specific types: competition, cooperation, cooperation-competition, and independence. A survey of dockless bike sharing users in Shanghai, China was conducted to obtain data on usage of DBS and the alternative choices without DBS. A comparison between the survey results and the estimates from the proposed methodology validates its effectiveness. In-depth analyses of factors such as weekends, cycling distances, and station densities reveal patterns of variation in the relationship between DBS and public transport systems. These findings provide valuable insights for urban planners and policymakers to enhance the integration of DBS and public transport systems, thereby improving the overall efficiency and sustainability of urban transportation networks.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":null,"pages":null},"PeriodicalIF":6.3,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}