Shang et al., 2019 - Google Patents
Bus timetabling considering passenger satisfaction: An empirical study in BeijingShang et al., 2019
- Document ID
- 6131135867020651457
- Author
- Shang H
- Huang H
- Wu W
- Publication year
- Publication venue
- Computers & Industrial Engineering
External Links
Snippet
Public transport is the key component in sustainable transportation. In China, large subsidies are provided by the national and local governments to encourage the use of public transport systems. However, high commuting demand leads to such incredible …
- 238000004642 transportation engineering 0 abstract description 50
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/109—Time management, e.g. calendars, reminders, meetings, time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Shang et al. | Bus timetabling considering passenger satisfaction: An empirical study in Beijing | |
Bischoff et al. | City-wide shared taxis: A simulation study in Berlin | |
Gelauff et al. | Spatial and welfare effects of automated driving: Will cities grow, decline or both? | |
Sun et al. | Timetable optimization for single bus line based on hybrid vehicle size model | |
de Almeida Correia et al. | Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility | |
Liu et al. | A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data | |
Christoforou et al. | Investigating the impact of dwell time on the reliability of urban light rail operations | |
Gomes et al. | Sustainable Demand Responsive Transportation systems in a context of austerity: The case of a Portuguese city | |
DiJoseph et al. | Optimizing sustainable feeder bus operation considering realistic networks and heterogeneous demand | |
Khani | Models and solution algorithms for transit and intermodal passenger assignment (development of fast-trips model) | |
Christoforou et al. | Influencing longitudinal passenger distribution on railway platforms to shorten and regularize train dwell times | |
Xiao et al. | Optimizing coordinated transfer with probabilistic vehicle arrivals and passengers' walking time | |
Justin et al. | Regional air mobility market study | |
CN115565400A (en) | Bus operation optimization simulation method based on big data | |
Mu et al. | The future of the modal split in China’s greenest city: Assessing options for integrating Dalian’s fragmented public transport system | |
Li et al. | Assessing the financial and social costs of public transport in differing operating environments and with endogenous demand | |
Cai et al. | Evaluation of urban rail transit operation considering rider and operator satisfaction | |
Hafezi et al. | Bus scheduling model for adjustment headway of bus carriers | |
Li | A comparative assessment for innovative public transport technologies | |
Kucirek | Comparison between MATSIM & EMME: Developing a dynamic, activity-based microsimulation transit assignment model for Toronto | |
Martinod et al. | Inter-modal transport service optimisation based on passenger demand interdependencies from metro and urban cableways network | |
Rak et al. | Model of traffic access mode and railway station choice of suburban railway system in Slovenia | |
Nakamura et al. | Evaluation for Low-carbon Land-use Transport Development with QOL Indexes in Asian Developing Megacities: A Case Study of Bangkok | |
AlAbed | Trip reservation and intelligent planning (trip) for a hyper-congestion-free traffic system: In the context of pervasive connectivity, driving automation and maas | |
Prayudyanto et al. | Will Jakarta road pricing reduce fuel consumption and emission |