找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Urban Informatics Using Mobile Network Data; Travel Behavior Rese Santi Phithakkitnukoon Book 2023 The Editor(s) (if applicable) and The Au

[復(fù)制鏈接]
樓主: 脾氣好
11#
發(fā)表于 2025-3-23 10:25:23 | 只看該作者
Book 2023ere approaches, models, and systems are developed for understanding travel behavior. The objectives of this book are thus to evaluate the extent to which mobile network data reflects travel behavior and to develop guidelines on how to best use such data to understand and model travel behavior. To ac
12#
發(fā)表于 2025-3-23 17:50:50 | 只看該作者
13#
發(fā)表于 2025-3-23 19:40:13 | 只看該作者
14#
發(fā)表于 2025-3-23 23:16:20 | 只看該作者
Santi Phithakkitnukoonetransformation of this religion, and in particular in which context an individual can change the content of religion, and bring about new ideas regarding religion and belief..978-981-15-2637-4978-981-15-2635-0
15#
發(fā)表于 2025-3-24 02:30:40 | 只看該作者
ion. Mobile network data thus emerges as a promising alternative data source that is massive in both cross-sectional and longitudinal perspectives, and one that provides both broader geographic coverage of trav978-981-19-6716-0978-981-19-6714-6
16#
發(fā)表于 2025-3-24 08:51:49 | 只看該作者
The Overview of Mobile Network Data-Driven Urban Informatics,new opportunities as well as challenges in utilizing such data in travel behavior research. This chapter discusses the state of the art and outlines the rest of the book, which is a series of case studies done by our research teams based on mobile phone data collected from different countries to tac
17#
發(fā)表于 2025-3-24 13:32:12 | 只看該作者
Inferring Passenger Travel Demand Using Mobile Phone CDR Data,us identify trends in passenger demand so that better informed decisions about future investments in infrastructure and capacity can be made. In this chapter, we discuss how passenger demand for public transportation services can be estimated using mobile phone network data. Based on the inferred tr
18#
發(fā)表于 2025-3-24 18:40:04 | 只看該作者
19#
發(fā)表于 2025-3-24 22:42:33 | 只看該作者
20#
發(fā)表于 2025-3-25 02:32:36 | 只看該作者
Inferring Social Influence in Transport Mode Choice Using Mobile Phone CDR Data,is the person’s preferred mode of transportation. The data also shows that social ties that are geographically nearby have a greater influence on commuting mode choice than those that are farther away. In the case of public transportation, accessibility distance is also a deciding factor. As the acc
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-17 18:11
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
岳普湖县| 张掖市| 武义县| 怀安县| 桂林市| 家居| 安陆市| 项城市| 将乐县| 柳林县| 南康市| 都安| 隆安县| 江陵县| 山阴县| 吉林市| 布尔津县| 吕梁市| 车险| 云安县| 神木县| 靖州| 尖扎县| 嵊州市| 会昌县| 石门县| 黔西| 宁乡县| 榆树市| 威海市| 抚松县| 三明市| 灵山县| 靖宇县| 札达县| 合作市| 驻马店市| 苍梧县| 德州市| 广元市| 临城县|